From 8f0cc4cfed97f05e47a7ad15e8b42f35b831dfd0 Mon Sep 17 00:00:00 2001
From: "J.R. Leeman" <kd5wxb@gmail.com>
Date: Mon, 30 Jul 2018 15:01:55 -0600
Subject: [PATCH 01/10] Add NDBC latest observations.

---
 siphon/simplewebservice/ndbc.py | 65 +++++++++++++++++++++++++++++++++
 1 file changed, 65 insertions(+)
 create mode 100644 siphon/simplewebservice/ndbc.py

diff --git a/siphon/simplewebservice/ndbc.py b/siphon/simplewebservice/ndbc.py
new file mode 100644
index 000000000..612a9a837
--- /dev/null
+++ b/siphon/simplewebservice/ndbc.py
@@ -0,0 +1,65 @@
+# Copyright (c) 2013-2015 Siphon Contributors.
+# Distributed under the terms of the BSD 3-Clause License.
+# SPDX-License-Identifier: BSD-3-Clause
+"""Read data from the National Data Buoy Center."""
+
+from io import StringIO
+import warnings
+
+import pandas as pd
+
+from ..http_util import HTTPEndPoint
+
+warnings.filterwarnings('ignore', 'Pandas doesn\'t allow columns to be created', UserWarning)
+
+
+class NDBC(HTTPEndPoint):
+    """Download and parse data from the National Data Buoy Center."""
+
+    def __init__(self):
+        """Set up endpoint."""
+        super(NDBC, self).__init__('https://www.ndbc.noaa.gov/')
+
+    @classmethod
+    def latest_observations(cls):
+        """Retrieve the latest observations for all buoys from NDBC.
+
+        Returns
+        -------
+            :class:`pandas.DataFrame` containing the data
+        """
+        endpoint = cls()
+        col_names = ['station', 'latitude', 'longitude',
+                     'year', 'month', 'day', 'hour', 'minute',
+                     'wind_direction', 'wind_speed', 'wind_gust',
+                     'wave_height', 'dominant_wave_period', 'average_wave_period',
+                     'dominant_wave_direction', 'pressure', '3hr_pressure_tendency',
+                     'air_temperature', 'water_temperature', 'dewpoint',
+                     'visibility', 'water_level_above_mean']
+
+        col_units = {'station': None,
+                     'latitude': 'degrees',
+                     'longitude': 'degrees',
+                     'wind_direction': 'degrees',
+                     'wind_speed': 'meters/second',
+                     'wind_gust': 'meters/second',
+                     'wave_height': 'meters',
+                     'dominant_wave_period': 'seconds',
+                     'average_wave_period': 'seconds',
+                     'dominant_wave_direction': 'degrees',
+                     'pressure': 'hPa',
+                     'air_temperature': 'degC',
+                     'water_temperature': 'degC',
+                     'dewpoint': 'degC',
+                     'visibility': 'nautical_mile',
+                     '3hr_pressure_tendency': 'hPa',
+                     'water_level_above_mean': 'feet',
+                     'time': None}
+        resp = endpoint.get_path('data/latest_obs/latest_obs.txt')
+
+        df = pd.read_fwf(StringIO(resp.text), skiprows=2,
+                         na_values='MM', names=col_names)
+        df['time'] = pd.to_datetime(df[['year', 'month', 'day', 'hour', 'minute']], utc=True)
+        df = df.drop(columns=['year', 'month', 'day', 'hour', 'minute'])
+        df.units = col_units
+        return df

From 5e7b937b5f55554bebd29ca9d9614becbe782b4b Mon Sep 17 00:00:00 2001
From: "J.R. Leeman" <kd5wxb@gmail.com>
Date: Mon, 30 Jul 2018 15:53:01 -0600
Subject: [PATCH 02/10] Add test and data for latest NDBC data.

---
 siphon/tests/fixtures/ndbc_latest | 414 ++++++++++++++++++++++++++++++
 siphon/tests/test_ndbc.py         |  76 ++++++
 2 files changed, 490 insertions(+)
 create mode 100644 siphon/tests/fixtures/ndbc_latest
 create mode 100644 siphon/tests/test_ndbc.py

diff --git a/siphon/tests/fixtures/ndbc_latest b/siphon/tests/fixtures/ndbc_latest
new file mode 100644
index 000000000..c010b3b3a
--- /dev/null
+++ b/siphon/tests/fixtures/ndbc_latest
@@ -0,0 +1,414 @@
+interactions:
+- request:
+    body: null
+    headers:
+      Accept: ['*/*']
+      Accept-Encoding: ['gzip, deflate']
+      Connection: [keep-alive]
+      User-Agent: [Siphon (0.7.0+37.gbd8b5d3.dirty)]
+    method: GET
+    uri: https://www.ndbc.noaa.gov/data/latest_obs/latest_obs.txt
+  response:
+    body:
+      string: !!binary |
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+version: 1
diff --git a/siphon/tests/test_ndbc.py b/siphon/tests/test_ndbc.py
new file mode 100644
index 000000000..d2e4835d3
--- /dev/null
+++ b/siphon/tests/test_ndbc.py
@@ -0,0 +1,76 @@
+# Copyright (c) 2018 Siphon Contributors.
+# Distributed under the terms of the BSD 3-Clause License.
+# SPDX-License-Identifier: BSD-3-Clause
+"""Test National Data Buoy Center (NDBC) dataset access."""
+
+from datetime import datetime
+
+import numpy as np
+from numpy.testing import assert_almost_equal, assert_equal
+import pytest
+
+from siphon.simplewebservice.ndbc import NDBC
+from siphon.testing import get_recorder
+
+
+recorder = get_recorder(__file__)
+
+
+@recorder.use_cassette('ndbc_latest')
+def test_ndbc_latest():
+    """Test that we are properly parsing latest NDBC observations."""
+    #truth = ['41004', 32.501, -79.09899999999999, 190.0, 6.0, 7.0, 1.2,
+    #         5.0, 4.8, 186.0, 1016.5, np.nan, 28.0, 28.7, 25.9,
+    #         np.nan, np.nan, Timestamp('2018-07-30 20:50:00')]
+    #'station', 'latitude', 'longitude', 'wind_direction', 'wind_speed',
+    #'wind_gust', 'wave_height', 'dominant_wave_period',
+    #'average_wave_period', 'dominant_wave_direction', 'pressure',
+    #'air_temperature', 'water_temperature', 'dewpoint', 'visibility',
+    #'3hr_pressure_tendency', 'water_level_above_mean', 'time'
+
+
+
+    #
+    #['41004' 32.501 -79.09899999999999 200.0 5.0 7.0 nan nan nan nan 1016.9
+    # nan 28.1 28.8 25.9 nan nan Timestamp('2018-07-30 21:10:00')]
+
+    df = NDBC.latest_observations()
+
+    assert(df['station'][10] == '41004')
+    assert_almost_equal(df['latitude'][10], 32.501, 3)
+    assert_almost_equal(df['longitude'][10], -79.0989, 3)
+
+    assert_almost_equal(df['wind_direction'][10], 200.0, 1)
+    assert_almost_equal(df['wind_speed'][10], 5.0, 1)
+    assert_almost_equal(df['wind_gust'][10], 7.0, 1)
+    assert_equal(df['wave_height'][10], np.nan)
+    assert_equal(df['dominant_wave_period'][10], np.nan)
+    assert_equal(df['average_wave_period'][10], np.nan)
+    assert_equal(df['dominant_wave_direction'][10], np.nan)
+    assert_almost_equal(df['pressure'][10], 1016.9, 1)
+    assert_almost_equal(df['air_temperature'][10], 28.1, 1)
+    assert_almost_equal(df['water_temperature'][10], 28.8, 1)
+    assert_almost_equal(df['dewpoint'][10], 25.9, 1)
+    assert_equal(df['visibility'][10], np.nan)
+    assert_equal(df['3hr_pressure_tendency'][10], np.nan)
+    assert_equal(df['water_level_above_mean'][10], np.nan)
+    assert_equal(df['time'][10], datetime(2018, 7, 30, 21, 10))
+
+    assert(df.units['station'] is None)
+    assert(df.units['latitude'] == 'degrees')
+    assert(df.units['longitude'] == 'degrees')
+    assert(df.units['wind_direction'] == 'degrees')
+    assert(df.units['wind_speed'] == 'meters/second')
+    assert(df.units['wind_gust'] == 'meters/second')
+    assert(df.units['wave_height'] == 'meters')
+    assert(df.units['dominant_wave_period'] == 'seconds')
+    assert(df.units['average_wave_period'] == 'seconds')
+    assert(df.units['dominant_wave_direction'] == 'degrees')
+    assert(df.units['pressure'] == 'hPa')
+    assert(df.units['air_temperature'] == 'degC')
+    assert(df.units['water_temperature'] == 'degC')
+    assert(df.units['dewpoint'] == 'degC')
+    assert(df.units['visibility'] == 'nautical_mile')
+    assert(df.units['3hr_pressure_tendency'] == 'hPa')
+    assert(df.units['water_level_above_mean'] == 'feet')
+    assert(df.units['time'] is None)

From b8e498c4f01a84acbda0950e50273cc3f3abefe5 Mon Sep 17 00:00:00 2001
From: "J.R. Leeman" <kd5wxb@gmail.com>
Date: Wed, 1 Aug 2018 10:33:25 -0600
Subject: [PATCH 03/10] Add realtime observation parsing and testing.

---
 siphon/simplewebservice/ndbc.py           |  495 ++++++
 siphon/tests/fixtures/ndbc_realtime_cwind |  792 ++++++++++
 siphon/tests/fixtures/ndbc_realtime_dart  |  362 +++++
 siphon/tests/fixtures/ndbc_realtime_drift |  221 +++
 siphon/tests/fixtures/ndbc_realtime_ocean |  268 ++++
 siphon/tests/fixtures/ndbc_realtime_rain  |   86 ++
 siphon/tests/fixtures/ndbc_realtime_spec  |  270 ++++
 siphon/tests/fixtures/ndbc_realtime_srad  |  597 ++++++++
 siphon/tests/fixtures/ndbc_realtime_supl  | 1694 +++++++++++++++++++++
 siphon/tests/fixtures/ndbc_realtime_txt   | 1070 +++++++++++++
 siphon/tests/test_ndbc.py                 |  222 ++-
 11 files changed, 6062 insertions(+), 15 deletions(-)
 create mode 100644 siphon/tests/fixtures/ndbc_realtime_cwind
 create mode 100644 siphon/tests/fixtures/ndbc_realtime_dart
 create mode 100644 siphon/tests/fixtures/ndbc_realtime_drift
 create mode 100644 siphon/tests/fixtures/ndbc_realtime_ocean
 create mode 100644 siphon/tests/fixtures/ndbc_realtime_rain
 create mode 100644 siphon/tests/fixtures/ndbc_realtime_spec
 create mode 100644 siphon/tests/fixtures/ndbc_realtime_srad
 create mode 100644 siphon/tests/fixtures/ndbc_realtime_supl
 create mode 100644 siphon/tests/fixtures/ndbc_realtime_txt

diff --git a/siphon/simplewebservice/ndbc.py b/siphon/simplewebservice/ndbc.py
index 612a9a837..dadf5e6d9 100644
--- a/siphon/simplewebservice/ndbc.py
+++ b/siphon/simplewebservice/ndbc.py
@@ -6,7 +6,9 @@
 from io import StringIO
 import warnings
 
+import numpy as np
 import pandas as pd
+import requests
 
 from ..http_util import HTTPEndPoint
 
@@ -20,6 +22,402 @@ def __init__(self):
         """Set up endpoint."""
         super(NDBC, self).__init__('https://www.ndbc.noaa.gov/')
 
+    @classmethod
+    def station_observations(cls):
+        """Retrieve the most recent 45 days of data for a buoy from NDBC.
+
+        Returns
+        -------
+            :class:`pandas.DataFrame` containing the data
+
+        """
+
+    @classmethod
+    def realtime_observations(cls, buoy, type='txt'):  # noqa: A002
+        """Retrieve the realtime buoy data from NDBC.
+
+        Parameters
+        ----------
+        buoy : str
+            Name of buoy
+        type : str
+            Type of data requested, must be one of:
+            'txt': standard meteorological data
+            'drift': meteorological data from drifting buoys and limited moored buoy data
+                     mainly from international partners
+            'cwind': continuous winds data (10 minute average)
+            'spec': spectral wave summaries
+            'ocean': oceanographic data
+            'srad': solar radiation data
+            'dart': water column height
+            'supl': supplemental measurements data
+            'rain': hourly rain data
+
+            Returns
+            -------
+            Raw data string
+
+        """
+        endpoint = cls()
+        parsers = {'txt': endpoint._parse_met,
+                   'drift': endpoint._parse_drift,
+                   'cwind': endpoint._parse_cwind,
+                   'spec': endpoint._parse_spec,
+                   'ocean': endpoint._parse_ocean,
+                   'srad': endpoint._parse_srad,
+                   'dart': endpoint._parse_dart,
+                   'supl': endpoint._parse_supl,
+                   'rain': endpoint._parse_rain}
+        endpoint = cls()
+        raw_data = endpoint.raw_buoy_data(buoy, type=type)
+        return parsers[type](raw_data)
+
+    @staticmethod
+    def _parse_met(content):
+        """Parse standard meteorological data from NDBC buoys.
+
+        Parameters
+        ----------
+        content : str
+            Data to parse
+
+        Returns
+        -------
+            :class:`pandas.DataFrame` containing the data
+
+        """
+        col_names = ['year', 'month', 'day', 'hour', 'minute',
+                     'wind_direction', 'wind_speed', 'wind_gust',
+                     'wave_height', 'dominant_wave_period', 'average_wave_period',
+                     'dominant_wave_direction', 'pressure',
+                     'air_temperature', 'water_temperature', 'dewpoint',
+                     'visibility', '3hr_pressure_tendency', 'water_level_above_mean']
+
+        col_units = {'wind_direction': 'degrees',
+                     'wind_speed': 'meters/second',
+                     'wind_gust': 'meters/second',
+                     'wave_height': 'meters',
+                     'dominant_wave_period': 'seconds',
+                     'average_wave_period': 'seconds',
+                     'dominant_wave_direction': 'degrees',
+                     'pressure': 'hPa',
+                     'air_temperature': 'degC',
+                     'water_temperature': 'degC',
+                     'dewpoint': 'degC',
+                     'visibility': 'nautical_mile',
+                     '3hr_pressure_tendency': 'hPa',
+                     'water_level_above_mean': 'feet',
+                     'time': None}
+
+        df = pd.read_fwf(StringIO(content), skiprows=2, na_values='MM', names=col_names)
+        df['time'] = pd.to_datetime(df[['year', 'month', 'day', 'hour', 'minute']], utc=True)
+        df = df.drop(columns=['year', 'month', 'day', 'hour', 'minute'])
+        df.units = col_units
+        return df
+
+    @staticmethod
+    def _parse_drift(content):
+        """Parse meteorological data from drifting buoys and limited moored buoy data.
+
+        Parameters
+        ----------
+        content : str
+            Data to parse
+
+        Returns
+        -------
+            :class:`pandas.DataFrame` containing the data
+
+        """
+        col_names = ['year', 'month', 'day', 'hour_minute',
+                     'latitude', 'longitude',
+                     'wind_direction', 'wind_speed', 'wind_gust',
+                     'pressure', '3hr_pressure_tendency',
+                     'air_temperature', 'water_temperature']
+
+        col_units = {'latitude': 'degrees',
+                     'longitude': 'degrees',
+                     'wind_direction': 'degrees',
+                     'wind_speed': 'meters/second',
+                     'wind_gust': 'meters/second',
+                     'pressure': 'hPa',
+                     'air_temperature': 'degC',
+                     'water_temperature': 'degC',
+                     '3hr_pressure_tendency': 'hPa',
+                     'time': None}
+
+        df = pd.read_fwf(StringIO(content), skiprows=2,
+                         na_values='MM', names=col_names)
+        df['hour'] = np.floor(df['hour_minute'] / 100)
+        df['minute'] = df['hour_minute'] - df['hour'] * 100
+        df['time'] = pd.to_datetime(df[['year', 'month', 'day', 'hour', 'minute']], utc=True)
+        df = df.drop(columns=['year', 'month', 'day', 'hour_minute', 'hour', 'minute'])
+        df.units = col_units
+        return df
+
+    @staticmethod
+    def _parse_cwind(content):
+        """Parse continuous wind data (10 minute average).
+
+        Parameters
+        ----------
+        content : str
+            Data to parse
+
+        Returns
+        -------
+            :class:`pandas.DataFrame` containing the data
+
+        """
+        col_names = ['year', 'month', 'day', 'hour', 'minute',
+                     'wind_direction', 'wind_speed', 'gust_direction',
+                     'wind_gust', 'gust_time']
+
+        col_units = {'wind_direction': 'degrees',
+                     'wind_speed': 'meters/second',
+                     'gust_direction': 'degrees',
+                     'wind_gust': 'meters/second',
+                     'gust_time': None,
+                     'time': None}
+
+        df = pd.read_fwf(StringIO(content), skiprows=2,
+                         na_values='MM', names=col_names)
+        df['gust_direction'] = df['gust_direction'].replace(999, np.nan)
+        df['wind_gust'] = df['wind_gust'].replace(99.0, np.nan)
+        df['time'] = pd.to_datetime(df[['year', 'month', 'day', 'hour', 'minute']], utc=True)
+        df['hours'] = np.floor(df['gust_time'] / 100)
+        df['minutes'] = df['gust_time'] - df['hours'] * 100
+        df['hours'] = df['hours'].replace(99, np.nan)
+        df['minutes'] = df['minutes'].replace(99, np.nan)
+        df['gust_time'] = pd.to_datetime(df[['year', 'month', 'day', 'hours', 'minutes']],
+                                         utc=True)
+        df = df.drop(columns=['year', 'month', 'day', 'hour', 'minute',
+                              'hours', 'minutes'])
+        df.units = col_units
+        return df
+
+    @staticmethod
+    def _parse_spec(content):
+        """Parse spectral wave summaries.
+
+        Parameters
+        ----------
+        content : str
+            Data to parse
+
+        Returns
+        -------
+            :class:`pandas.DataFrame` containing the data
+
+        """
+        col_names = ['year', 'month', 'day', 'hour', 'minute',
+                     'significant_wave_height', 'swell_height',
+                     'swell_period', 'wind_wave_height', 'wind_wave_period',
+                     'swell_direction', 'wind_wave_direction', 'steepness',
+                     'average_wave_period', 'dominant_wave_direction']
+
+        col_units = {'significant_wave_height': 'meters',
+                     'swell_height': 'meters',
+                     'swell_period': 'seconds',
+                     'wind_wave_height': 'meters',
+                     'wind_wave_period': 'seconds',
+                     'swell_direction': None,
+                     'wind_wave_direction': None,
+                     'steepness': None,
+                     'average_wave_period': 'seconds',
+                     'dominant_wave_direction': 'degrees',
+                     'time': None}
+
+        df = pd.read_fwf(StringIO(content), skiprows=2,
+                         na_values=['MM', 'N/A'], names=col_names)
+        df['time'] = pd.to_datetime(df[['year', 'month', 'day', 'hour', 'minute']], utc=True)
+        df = df.drop(columns=['year', 'month', 'day', 'hour', 'minute'])
+        df.units = col_units
+        return df
+
+    @staticmethod
+    def _parse_ocean(content):
+        """Parse oceanographic data.
+
+        Parameters
+        ----------
+        content : str
+            Data to parse
+
+        Returns
+        -------
+            :class:`pandas.DataFrame` containing the data
+
+        """
+        col_names = ['year', 'month', 'day', 'hour', 'minute',
+                     'measurement_depth', 'ocean_temperature',
+                     'conductivity', 'salinity', 'oxygen_concentration',
+                     'oxygen_concentration_ppm', 'chlorophyll_concentration',
+                     'turbidity', 'pH', 'Eh']
+
+        col_units = {'measurement_depth': 'meters',
+                     'ocean_temperature': 'degC',
+                     'conductivity': 'milliSiemens/centimeter',
+                     'salinity': 'psu',
+                     'oxygen_concentration': 'percent',
+                     'oxygen_concentration_ppm': 'ppm',
+                     'chlorophyll_concentration': 'micrograms/liter',
+                     'turbidity': 'ftu',
+                     'pH': 'dimensionless',
+                     'Eh': 'millivolts',
+                     'time': None}
+
+        df = pd.read_fwf(StringIO(content), skiprows=2,
+                         na_values='MM', names=col_names)
+        df['time'] = pd.to_datetime(df[['year', 'month', 'day', 'hour', 'minute']], utc=True)
+        df = df.drop(columns=['year', 'month', 'day', 'hour', 'minute'])
+        df.units = col_units
+        return df
+
+    @staticmethod
+    def _parse_srad(content):
+        """Parse solar radiation data.
+
+        Parameters
+        ----------
+        content : str
+            Data to parse
+
+        Returns
+        -------
+            :class:`pandas.DataFrame` containing the data
+
+        """
+        col_names = ['year', 'month', 'day', 'hour', 'minute',
+                     'shortwave_radiation_licor', 'shortwave_radiation_eppley',
+                     'longwave_radiation']
+
+        col_units = {'shortwave_radiation_licor': 'watts/meter^2',
+                     'shortwave_radiation_eppley': 'watts/meter^2',
+                     'longwave_radiation': 'watts/meter^2',
+                     'time': None}
+
+        df = pd.read_fwf(StringIO(content), skiprows=2,
+                         na_values='MM', names=col_names)
+        df['time'] = pd.to_datetime(df[['year', 'month', 'day', 'hour', 'minute']], utc=True)
+        df = df.drop(columns=['year', 'month', 'day', 'hour', 'minute'])
+        df.units = col_units
+        return df
+
+    @staticmethod
+    def _parse_dart(content):
+        """Parse water column height data.
+
+        Parameters
+        ----------
+        content : str
+            Data to parse
+
+        Returns
+        -------
+            :class:`pandas.DataFrame` containing the data
+
+        """
+        col_names = ['year', 'month', 'day', 'hour', 'minute', 'second',
+                     'measurement_type', 'height']
+
+        col_units = {'measurement_type': 'minutes',
+                     'height': 'meters',
+                     'time': None}
+
+        df = pd.read_fwf(StringIO(content), skiprows=2,
+                         na_values='MM', names=col_names)
+
+        # Replace measurement type integer with minute value
+        # 1 = 15-minute measurement
+        # 2 = 1-minute measurement
+        # 3 = 15-second measurement
+        df['measurement_type'] = df['measurement_type'].replace(1, 15)
+        df['measurement_type'] = df['measurement_type'].replace(2, 1)
+        df['measurement_type'] = df['measurement_type'].replace(3, 0.25)
+
+        df['time'] = pd.to_datetime(df[['year', 'month', 'day', 'hour',
+                                        'minute', 'second']], utc=True)
+        df = df.drop(columns=['year', 'month', 'day', 'hour', 'minute', 'second'])
+        df.units = col_units
+        return df
+
+    @staticmethod
+    def _parse_rain(content):
+        """Parse hourly rain data.
+
+        Parameters
+        ----------
+        content : str
+            Data to parse
+
+        Returns
+        -------
+            :class:`pandas.DataFrame` containing the data
+
+        """
+        col_names = ['year', 'month', 'day', 'hour', 'minute',
+                     'hourly_accumulation']
+
+        col_units = {'hourly_accumulation': 'millimeters',
+                     'time': None}
+
+        df = pd.read_fwf(StringIO(content), skiprows=2,
+                         na_values='MM', names=col_names)
+
+        df['time'] = pd.to_datetime(df[['year', 'month', 'day', 'hour', 'minute']], utc=True)
+        df = df.drop(columns=['year', 'month', 'day', 'hour', 'minute'])
+        df.units = col_units
+        return df
+
+    @staticmethod
+    def _parse_supl(content):
+        """Parse supplemental measurements data.
+
+        Parameters
+        ----------
+        content : str
+            Data to parse
+
+        Returns
+        -------
+            :class:`pandas.DataFrame` containing the data
+
+        """
+        col_names = ['year', 'month', 'day', 'hour', 'minute',
+                     'hourly_low_pressure', 'hourly_low_pressure_time',
+                     'hourly_high_wind', 'hourly_high_wind_direction',
+                     'hourly_high_wind_time']
+
+        col_units = {'hourly_low_pressure': 'hPa',
+                     'hourly_low_pressure_time': None,
+                     'hourly_high_wind': 'meters/second',
+                     'hourly_high_wind_direction': 'degrees',
+                     'hourly_high_wind_time': None,
+                     'time': None}
+
+        df = pd.read_fwf(StringIO(content), skiprows=2,
+                         na_values='MM', names=col_names)
+
+        df['time'] = pd.to_datetime(df[['year', 'month', 'day', 'hour', 'minute']], utc=True)
+
+        df['hours'] = np.floor(df['hourly_low_pressure_time'] / 100)
+        df['minutes'] = df['hourly_low_pressure_time'] - df['hours'] * 100
+        df['hours'] = df['hours'].replace(99, np.nan)
+        df['minutes'] = df['minutes'].replace(99, np.nan)
+        df['hourly_low_pressure_time'] = pd.to_datetime(df[['year', 'month', 'day', 'hours',
+                                                            'minutes']], utc=True)
+
+        df['hours'] = np.floor(df['hourly_high_wind_time'] / 100)
+        df['minutes'] = df['hourly_high_wind_time'] - df['hours'] * 100
+        df['hours'] = df['hours'].replace(99, np.nan)
+        df['minutes'] = df['minutes'].replace(99, np.nan)
+        df['hourly_high_wind_time'] = pd.to_datetime(df[['year', 'month', 'day',
+                                                         'hours', 'minutes']], utc=True)
+        df = df.drop(columns=['year', 'month', 'day', 'hour', 'minute', 'hours', 'minutes'])
+        df.units = col_units
+        return df
+
     @classmethod
     def latest_observations(cls):
         """Retrieve the latest observations for all buoys from NDBC.
@@ -27,6 +425,7 @@ def latest_observations(cls):
         Returns
         -------
             :class:`pandas.DataFrame` containing the data
+
         """
         endpoint = cls()
         col_names = ['station', 'latitude', 'longitude',
@@ -63,3 +462,99 @@ def latest_observations(cls):
         df = df.drop(columns=['year', 'month', 'day', 'hour', 'minute'])
         df.units = col_units
         return df
+
+    @staticmethod
+    def _check_if_url_valid(url):
+        """Check if a url is valid (returns 200) or not.
+
+        Parameters
+        ----------
+        url : str
+            URL to check
+
+        Returns
+        -------
+            bool if url is valid
+
+        """
+        r = requests.head(url)
+        if r.status_code == 200:
+            return True
+        else:
+            return False
+
+    @classmethod
+    def buoy_data_types(cls, buoy):
+        """Determine which types of data are available for a given buoy.
+
+        Parameters
+        ----------
+        buoy : str
+            Buoy name
+
+        Returns
+        -------
+            dict of valid file extensions and their descriptions
+
+        """
+        endpoint = cls()
+        file_types = {'txt': 'standard meteorological data',
+                      'drift': 'meteorological data from drifting buoys and limited moored'
+                               'buoy data mainly from international partners',
+                      'cwind': 'continuous wind data (10 minute average)',
+                      'spec': 'spectral wave summaries',
+                      'data_spec': 'raw spectral wave data',
+                      'swdir': 'spectral wave data (alpha1)',
+                      'swdir2': 'spectral wave data (alpha2)',
+                      'swr1': 'spectral wave data (r1)',
+                      'swr2': 'spectral wave data (r2)',
+                      'adcp': 'acoustic doppler current profiler',
+                      'ocean': 'oceanographic data',
+                      'tide': 'tide data',
+                      'srad': 'solar radiation data',
+                      'dart': 'water column height',
+                      'supl': 'supplemental measurements data',
+                      'rain': 'hourly rain data'}
+        available_data = {}
+        buoy_url = 'https://www.ndbc.noaa.gov/data/realtime2/' + buoy + '.'
+        for key in file_types:
+            if endpoint._check_if_url_valid(buoy_url + key):
+                available_data[key] = file_types[key]
+        return available_data
+
+    @classmethod
+    def raw_buoy_data(cls, buoy, type='txt'):  # noqa: A002
+        """Retrieve the raw buoy data contents from NDBC.
+
+        Parameters
+        ----------
+        buoy : str
+            Name of buoy
+        type : str
+            Type of data requested, must be one of:
+            'txt': standard meteorological data
+            'drift': meteorological data from drifting buoys and limited moored buoy data
+                     mainly from international partners
+            'cwind': continuous winds data (10 minute average)
+            'spec': spectral wave summaries
+            'data_spec': raw spectral wave data
+            'swdir': spectral wave data (alpha1)
+            'swdir2': spectral wave data (alpha2)
+            'swr1': spectral wave data (r1)
+            'swr2': spectral wave data (r2)
+            'adcp': acoustic doppler current profiler
+            'ocean': oceanographic data
+            'tide': tide data
+            'srad': solar radiation data
+            'dart': water column height
+            'supl': supplemental measurements data
+            'rain': hourly rain data
+
+        Returns
+        -------
+        Raw data string
+
+        """
+        endpoint = cls()
+        resp = endpoint.get_path('data/realtime2/{}.{}'.format(buoy, type))
+        return resp.text
diff --git a/siphon/tests/fixtures/ndbc_realtime_cwind b/siphon/tests/fixtures/ndbc_realtime_cwind
new file mode 100644
index 000000000..1b42b2786
--- /dev/null
+++ b/siphon/tests/fixtures/ndbc_realtime_cwind
@@ -0,0 +1,792 @@
+interactions:
+- request:
+    body: null
+    headers:
+      Accept: ['*/*']
+      Accept-Encoding: ['gzip, deflate']
+      Connection: [keep-alive]
+      User-Agent: [Siphon (0.7.0+38.g5e7b937.dirty)]
+    method: GET
+    uri: https://www.ndbc.noaa.gov/data/realtime2/41008.cwind
+  response:
+    body:
+      string: !!binary |
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+        5f8HsV2v9FHtAwA=
+    headers:
+      Accept-Ranges: [bytes]
+      Cache-Control: [must-revalidate]
+      Connection: [close]
+      Content-Encoding: [gzip]
+      Content-Length: ['43331']
+      Content-Security-Policy: [frame-ancestors 'self']
+      Content-Type: [text/plain; charset=ISO-8859-1]
+      Date: ['Wed, 01 Aug 2018 15:29:43 GMT']
+      Last-Modified: ['Wed, 01 Aug 2018 15:11:33 GMT']
+      Server: [Apache]
+      Strict-Transport-Security: [max-age=31536000;]
+      Vary: [Accept-Encoding]
+      X-Content-Type-Options: [nosniff]
+      X-Frame-Options: [SAMEORIGIN]
+      X-XSS-Protection: [1; mode=block]
+    status: {code: 200, message: OK}
+version: 1
diff --git a/siphon/tests/fixtures/ndbc_realtime_dart b/siphon/tests/fixtures/ndbc_realtime_dart
new file mode 100644
index 000000000..d4a36d3a5
--- /dev/null
+++ b/siphon/tests/fixtures/ndbc_realtime_dart
@@ -0,0 +1,362 @@
+interactions:
+- request:
+    body: null
+    headers:
+      Accept: ['*/*']
+      Accept-Encoding: ['gzip, deflate']
+      Connection: [keep-alive]
+      User-Agent: [Siphon (0.7.0+38.g5e7b937.dirty)]
+    method: GET
+    uri: https://www.ndbc.noaa.gov/data/realtime2/41421.dart
+  response:
+    body:
+      string: !!binary |
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+      Cache-Control: [must-revalidate]
+      Connection: [close]
+      Content-Encoding: [gzip]
+      Content-Length: ['18850']
+      Content-Security-Policy: [frame-ancestors 'self']
+      Content-Type: [text/plain; charset=ISO-8859-1]
+      Date: ['Wed, 01 Aug 2018 15:29:45 GMT']
+      Last-Modified: ['Wed, 01 Aug 2018 12:27:33 GMT']
+      Server: [Apache]
+      Strict-Transport-Security: [max-age=31536000;]
+      Vary: [Accept-Encoding]
+      X-Content-Type-Options: [nosniff]
+      X-Frame-Options: [SAMEORIGIN]
+      X-XSS-Protection: [1; mode=block]
+    status: {code: 200, message: OK}
+version: 1
diff --git a/siphon/tests/fixtures/ndbc_realtime_drift b/siphon/tests/fixtures/ndbc_realtime_drift
new file mode 100644
index 000000000..80298a722
--- /dev/null
+++ b/siphon/tests/fixtures/ndbc_realtime_drift
@@ -0,0 +1,221 @@
+interactions:
+- request:
+    body: null
+    headers:
+      Accept: ['*/*']
+      Accept-Encoding: ['gzip, deflate']
+      Connection: [keep-alive]
+      User-Agent: [Siphon (0.7.0+38.g5e7b937.dirty)]
+    method: GET
+    uri: https://www.ndbc.noaa.gov/data/realtime2/22101.drift
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+      Cache-Control: [must-revalidate]
+      Connection: [close]
+      Content-Encoding: [gzip]
+      Content-Length: ['10788']
+      Content-Security-Policy: [frame-ancestors 'self']
+      Content-Type: [text/plain; charset=ISO-8859-1]
+      Date: ['Wed, 01 Aug 2018 15:29:42 GMT']
+      Last-Modified: ['Wed, 01 Aug 2018 14:27:45 GMT']
+      Server: [Apache]
+      Strict-Transport-Security: [max-age=31536000;]
+      Vary: [Accept-Encoding]
+      X-Content-Type-Options: [nosniff]
+      X-Frame-Options: [SAMEORIGIN]
+      X-XSS-Protection: [1; mode=block]
+    status: {code: 200, message: OK}
+version: 1
diff --git a/siphon/tests/fixtures/ndbc_realtime_ocean b/siphon/tests/fixtures/ndbc_realtime_ocean
new file mode 100644
index 000000000..349d9cd67
--- /dev/null
+++ b/siphon/tests/fixtures/ndbc_realtime_ocean
@@ -0,0 +1,268 @@
+interactions:
+- request:
+    body: null
+    headers:
+      Accept: ['*/*']
+      Accept-Encoding: ['gzip, deflate']
+      Connection: [keep-alive]
+      User-Agent: [Siphon (0.7.0+38.g5e7b937.dirty)]
+    method: GET
+    uri: https://www.ndbc.noaa.gov/data/realtime2/45183.ocean
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+      Content-Encoding: [gzip]
+      Content-Length: ['13499']
+      Content-Security-Policy: [frame-ancestors 'self']
+      Content-Type: [text/plain; charset=ISO-8859-1]
+      Date: ['Wed, 01 Aug 2018 15:29:44 GMT']
+      Last-Modified: ['Wed, 01 Aug 2018 15:11:23 GMT']
+      Server: [Apache]
+      Strict-Transport-Security: [max-age=31536000;]
+      Vary: [Accept-Encoding]
+      X-Content-Type-Options: [nosniff]
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diff --git a/siphon/tests/fixtures/ndbc_realtime_rain b/siphon/tests/fixtures/ndbc_realtime_rain
new file mode 100644
index 000000000..f2f658217
--- /dev/null
+++ b/siphon/tests/fixtures/ndbc_realtime_rain
@@ -0,0 +1,86 @@
+interactions:
+- request:
+    body: null
+    headers:
+      Accept: ['*/*']
+      Accept-Encoding: ['gzip, deflate']
+      Connection: [keep-alive]
+      User-Agent: [Siphon (0.7.0+38.g5e7b937.dirty)]
+    method: GET
+    uri: https://www.ndbc.noaa.gov/data/realtime2/BDVF1.rain
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+      Content-Encoding: [gzip]
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+      Content-Security-Policy: [frame-ancestors 'self']
+      Content-Type: [text/plain; charset=ISO-8859-1]
+      Date: ['Wed, 01 Aug 2018 15:29:47 GMT']
+      Last-Modified: ['Wed, 01 Aug 2018 14:51:27 GMT']
+      Server: [Apache]
+      Strict-Transport-Security: [max-age=31536000;]
+      Vary: [Accept-Encoding]
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diff --git a/siphon/tests/fixtures/ndbc_realtime_spec b/siphon/tests/fixtures/ndbc_realtime_spec
new file mode 100644
index 000000000..446f0922c
--- /dev/null
+++ b/siphon/tests/fixtures/ndbc_realtime_spec
@@ -0,0 +1,270 @@
+interactions:
+- request:
+    body: null
+    headers:
+      Accept: ['*/*']
+      Accept-Encoding: ['gzip, deflate']
+      Connection: [keep-alive]
+      User-Agent: [Siphon (0.7.0+38.g5e7b937.dirty)]
+    method: GET
+    uri: https://www.ndbc.noaa.gov/data/realtime2/41002.spec
+  response:
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+      Cache-Control: [must-revalidate]
+      Connection: [close]
+      Content-Encoding: [gzip]
+      Content-Length: ['13600']
+      Content-Security-Policy: [frame-ancestors 'self']
+      Content-Type: [text/plain; charset=ISO-8859-1]
+      Date: ['Wed, 01 Aug 2018 15:29:43 GMT']
+      Last-Modified: ['Wed, 01 Aug 2018 15:02:36 GMT']
+      Server: [Apache]
+      Strict-Transport-Security: [max-age=31536000;]
+      Vary: [Accept-Encoding]
+      X-Content-Type-Options: [nosniff]
+      X-Frame-Options: [SAMEORIGIN]
+      X-XSS-Protection: [1; mode=block]
+    status: {code: 200, message: OK}
+version: 1
diff --git a/siphon/tests/fixtures/ndbc_realtime_srad b/siphon/tests/fixtures/ndbc_realtime_srad
new file mode 100644
index 000000000..1bfeea99d
--- /dev/null
+++ b/siphon/tests/fixtures/ndbc_realtime_srad
@@ -0,0 +1,597 @@
+interactions:
+- request:
+    body: null
+    headers:
+      Accept: ['*/*']
+      Accept-Encoding: ['gzip, deflate']
+      Connection: [keep-alive]
+      User-Agent: [Siphon (0.7.0+38.g5e7b937.dirty)]
+    method: GET
+    uri: https://www.ndbc.noaa.gov/data/realtime2/45027.srad
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+    headers:
+      Accept-Ranges: [bytes]
+      Cache-Control: [must-revalidate]
+      Connection: [close]
+      Content-Encoding: [gzip]
+      Content-Length: ['32236']
+      Content-Security-Policy: [frame-ancestors 'self']
+      Content-Type: [text/plain; charset=ISO-8859-1]
+      Date: ['Wed, 01 Aug 2018 15:29:45 GMT']
+      Last-Modified: ['Wed, 01 Aug 2018 15:17:04 GMT']
+      Server: [Apache]
+      Strict-Transport-Security: [max-age=31536000;]
+      Vary: [Accept-Encoding]
+      X-Content-Type-Options: [nosniff]
+      X-Frame-Options: [SAMEORIGIN]
+      X-XSS-Protection: [1; mode=block]
+    status: {code: 200, message: OK}
+version: 1
diff --git a/siphon/tests/fixtures/ndbc_realtime_supl b/siphon/tests/fixtures/ndbc_realtime_supl
new file mode 100644
index 000000000..b23061720
--- /dev/null
+++ b/siphon/tests/fixtures/ndbc_realtime_supl
@@ -0,0 +1,1694 @@
+interactions:
+- request:
+    body: null
+    headers:
+      Accept: ['*/*']
+      Accept-Encoding: ['gzip, deflate']
+      Connection: [keep-alive]
+      User-Agent: [Siphon (0.7.0+38.g5e7b937.dirty)]
+    method: GET
+    uri: https://www.ndbc.noaa.gov/data/realtime2/PVGF1.supl
+  response:
+    body:
+      string: !!binary |
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+    headers:
+      Accept-Ranges: [bytes]
+      Cache-Control: [must-revalidate]
+      Connection: [close]
+      Content-Encoding: [gzip]
+      Content-Security-Policy: [frame-ancestors 'self']
+      Content-Type: [text/plain; charset=ISO-8859-1]
+      Date: ['Wed, 01 Aug 2018 15:29:46 GMT']
+      Last-Modified: ['Tue, 31 Jul 2018 15:23:04 GMT']
+      Server: [Apache]
+      Strict-Transport-Security: [max-age=31536000;]
+      Vary: [Accept-Encoding]
+      X-Content-Type-Options: [nosniff]
+      X-Frame-Options: [SAMEORIGIN]
+      X-XSS-Protection: [1; mode=block]
+    status: {code: 200, message: OK}
+version: 1
diff --git a/siphon/tests/fixtures/ndbc_realtime_txt b/siphon/tests/fixtures/ndbc_realtime_txt
new file mode 100644
index 000000000..0dc9b11f4
--- /dev/null
+++ b/siphon/tests/fixtures/ndbc_realtime_txt
@@ -0,0 +1,1070 @@
+interactions:
+- request:
+    body: null
+    headers:
+      Accept: ['*/*']
+      Accept-Encoding: ['gzip, deflate']
+      Connection: [keep-alive]
+      User-Agent: [Siphon (0.7.0+38.g5e7b937.dirty)]
+    method: GET
+    uri: https://www.ndbc.noaa.gov/data/realtime2/41002.txt
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diff --git a/siphon/tests/test_ndbc.py b/siphon/tests/test_ndbc.py
index d2e4835d3..e0a0e5139 100644
--- a/siphon/tests/test_ndbc.py
+++ b/siphon/tests/test_ndbc.py
@@ -7,7 +7,6 @@
 
 import numpy as np
 from numpy.testing import assert_almost_equal, assert_equal
-import pytest
 
 from siphon.simplewebservice.ndbc import NDBC
 from siphon.testing import get_recorder
@@ -16,24 +15,217 @@
 recorder = get_recorder(__file__)
 
 
-@recorder.use_cassette('ndbc_latest')
-def test_ndbc_latest():
-    """Test that we are properly parsing latest NDBC observations."""
-    #truth = ['41004', 32.501, -79.09899999999999, 190.0, 6.0, 7.0, 1.2,
-    #         5.0, 4.8, 186.0, 1016.5, np.nan, 28.0, 28.7, 25.9,
-    #         np.nan, np.nan, Timestamp('2018-07-30 20:50:00')]
-    #'station', 'latitude', 'longitude', 'wind_direction', 'wind_speed',
-    #'wind_gust', 'wave_height', 'dominant_wave_period',
-    #'average_wave_period', 'dominant_wave_direction', 'pressure',
-    #'air_temperature', 'water_temperature', 'dewpoint', 'visibility',
-    #'3hr_pressure_tendency', 'water_level_above_mean', 'time'
+@recorder.use_cassette('ndbc_realtime_txt')
+def test_ndbc_realtime_txt():
+    """Test that we are properly parsing realtime txt (met) observations."""
+    df = NDBC.realtime_observations('41002')
+
+    assert_almost_equal(df['wind_direction'][3], 150.0, 1)
+    assert_almost_equal(df['wind_speed'][3], 7.0, 1)
+    assert_almost_equal(df['wind_gust'][3], 8.0, 1)
+    assert_almost_equal(df['wave_height'][3], 1.2, 1)
+    assert_equal(df['dominant_wave_period'][3], np.nan)
+    assert_almost_equal(df['average_wave_period'][3], 4.5, 1)
+    assert_almost_equal(df['dominant_wave_direction'][3], 209.0, 1)
+    assert_almost_equal(df['pressure'][3], 1022.9, 1)
+    assert_equal(df['air_temperature'][3], np.nan)
+    assert_almost_equal(df['water_temperature'][3], 28.0, 1)
+    assert_equal(df['dewpoint'][3], np.nan)
+    assert_equal(df['visibility'][3], np.nan)
+    assert_equal(df['3hr_pressure_tendency'][3], np.nan)
+    assert_equal(df['water_level_above_mean'][3], np.nan)
+    assert_equal(df['time'][3], datetime(2018, 8, 1, 14, 40))
+
+    assert(df.units['wind_direction'] == 'degrees')
+    assert(df.units['wind_speed'] == 'meters/second')
+    assert(df.units['wind_gust'] == 'meters/second')
+    assert(df.units['wave_height'] == 'meters')
+    assert(df.units['dominant_wave_period'] == 'seconds')
+    assert(df.units['average_wave_period'] == 'seconds')
+    assert(df.units['dominant_wave_direction'] == 'degrees')
+    assert(df.units['pressure'] == 'hPa')
+    assert(df.units['air_temperature'] == 'degC')
+    assert(df.units['water_temperature'] == 'degC')
+    assert(df.units['dewpoint'] == 'degC')
+    assert(df.units['visibility'] == 'nautical_mile')
+    assert(df.units['3hr_pressure_tendency'] == 'hPa')
+    assert(df.units['water_level_above_mean'] == 'feet')
+    assert(df.units['time'] is None)
+
+
+@recorder.use_cassette('ndbc_realtime_drift')
+def test_ndbc_realtime_drift():
+    """Test that we are properly parsing realtime drift observations."""
+    df = NDBC.realtime_observations('22101', type='drift')
+
+    assert_almost_equal(df['latitude'][3], 37.24, 2)
+    assert_almost_equal(df['longitude'][3], 126.02, 2)
+    assert_almost_equal(df['wind_direction'][3], 280.0, 1)
+    assert_almost_equal(df['wind_speed'][3], 3.0, 1)
+    assert_equal(df['wind_gust'][3], np.nan)
+    assert_almost_equal(df['pressure'][3], 1003.4, 1)
+    assert_equal(df['3hr_pressure_tendency'][3], np.nan)
+    assert_almost_equal(df['air_temperature'][3], 25.3, 1)
+    assert_almost_equal(df['water_temperature'][3], 22.8, 1)
+    assert_equal(df['time'][3], datetime(2018, 8, 1, 8, 0))
+
+    assert(df.units['latitude'] == 'degrees')
+    assert(df.units['longitude'] == 'degrees')
+    assert(df.units['wind_direction'] == 'degrees')
+    assert(df.units['wind_speed'] == 'meters/second')
+    assert(df.units['wind_gust'] == 'meters/second')
+    assert(df.units['pressure'] == 'hPa')
+    assert(df.units['air_temperature'] == 'degC')
+    assert(df.units['water_temperature'] == 'degC')
+    assert(df.units['3hr_pressure_tendency'] == 'hPa')
+    assert(df.units['time'] is None)
+
 
+@recorder.use_cassette('ndbc_realtime_cwind')
+def test_ndbc_realtime_cwind():
+    """Test that we are properly parsing realtime cwind observations."""
+    df = NDBC.realtime_observations('41008', type='cwind')
 
+    assert_almost_equal(df['wind_direction'][3], 156, 1)
+    assert_almost_equal(df['wind_speed'][3], 6.7, 1)
+    assert_equal(df['gust_direction'][3], np.nan)
+    assert_almost_equal(df['wind_gust'][0], 9.0, 1)
+    assert_equal(df['gust_time'][0], datetime(2018, 8, 1, 14, 49, 0))
+    assert_equal(df['time'][0], datetime(2018, 8, 1, 14, 50, 0))
 
-    #
-    #['41004' 32.501 -79.09899999999999 200.0 5.0 7.0 nan nan nan nan 1016.9
-    # nan 28.1 28.8 25.9 nan nan Timestamp('2018-07-30 21:10:00')]
+    assert(df.units['wind_direction'] == 'degrees')
+    assert(df.units['wind_speed'] == 'meters/second')
+    assert(df.units['gust_direction'] == 'degrees')
+    assert(df.units['wind_gust'] == 'meters/second')
+    assert(df.units['gust_time'] is None)
+    assert(df.units['time'] is None)
+
+
+@recorder.use_cassette('ndbc_realtime_spec')
+def test_ndbc_realtime_spec():
+    """Test that we are properly parsing realtime spec observations."""
+    df = NDBC.realtime_observations('41002', type='spec')
+
+    assert_almost_equal(df['significant_wave_height'][3], 1.2, 1)
+    assert_almost_equal(df['swell_height'][3], 0.7, 1)
+    assert_almost_equal(df['swell_period'][3], 6.7, 1)
+    assert_almost_equal(df['wind_wave_height'][3], 1.0, 1)
+    assert_almost_equal(df['wind_wave_period'][3], 3.7, 1)
+    assert(df['swell_direction'][3] == 'SSE')
+    assert(df['wind_wave_direction'][3] == 'SSE')
+    assert(df['steepness'][3] == 'STEEP')
+    assert_almost_equal(df['average_wave_period'][3], 4.5, 1)
+    assert_almost_equal(df['dominant_wave_direction'][3], 150, 1)
+    assert_equal(df['time'][3], datetime(2018, 8, 1, 11, 40, 0))
+
+    assert(df.units['significant_wave_height'] == 'meters')
+    assert(df.units['swell_height'] == 'meters')
+    assert(df.units['swell_period'] == 'seconds')
+    assert(df.units['wind_wave_height'] == 'meters')
+    assert(df.units['wind_wave_period'] == 'seconds')
+    assert(df.units['swell_direction'] is None)
+    assert(df.units['wind_wave_direction'] is None)
+    assert(df.units['steepness'] is None)
+    assert(df.units['average_wave_period'] == 'seconds')
+    assert(df.units['dominant_wave_direction'] == 'degrees')
+    assert(df.units['time'] is None)
+
+
+@recorder.use_cassette('ndbc_realtime_ocean')
+def test_ndbc_realtime_ocean():
+    """Test that we are properly parsing realtime ocean observations."""
+    df = NDBC.realtime_observations('45183', type='ocean')
+
+    assert_almost_equal(df['measurement_depth'][3], 1.0, 1)
+    assert_equal(df['ocean_temperature'][3], np.nan)
+    assert_equal(df['conductivity'][3], np.nan)
+    assert_equal(df['salinity'][3], np.nan)
+    assert_almost_equal(df['oxygen_concentration'][3], 106.4, 1)
+    assert_almost_equal(df['oxygen_concentration_ppm'][3], 9.52, 1)
+    assert_equal(df['chlorophyll_concentration'][3], np.nan)
+    assert_almost_equal(df['turbidity'][3], 0, 1)
+    assert_almost_equal(df['pH'][3], 8.38, 1)
+    assert_equal(df['Eh'][3], np.nan)
+    assert_equal(df['time'][3], datetime(2018, 8, 1, 13, 30, 0))
+
+    assert (df.units['measurement_depth'] == 'meters')
+    assert (df.units['ocean_temperature'] == 'degC')
+    assert (df.units['conductivity'] == 'milliSiemens/centimeter')
+    assert (df.units['salinity'] == 'psu')
+    assert (df.units['oxygen_concentration'] == 'percent')
+    assert (df.units['oxygen_concentration_ppm'] == 'ppm')
+    assert (df.units['chlorophyll_concentration'] == 'micrograms/liter')
+    assert (df.units['turbidity'] == 'ftu')
+    assert (df.units['pH'] == 'dimensionless')
+    assert (df.units['Eh'] == 'millivolts')
+    assert (df.units['time'] is None)
+
+
+@recorder.use_cassette('ndbc_realtime_srad')
+def test_ndbc_realtime_srad():
+    """Test that we are properly parsing realtime srad observations."""
+    df = NDBC.realtime_observations('45027', type='srad')
+
+    assert_almost_equal(df['shortwave_radiation_licor'][3], 51.6, 1)
+    assert_equal(df['shortwave_radiation_eppley'][3], np.nan)
+    assert_equal(df['longwave_radiation'][3], np.nan)
+    assert_equal(df['time'][3], datetime(2018, 8, 1, 14, 30))
 
+    assert (df.units['shortwave_radiation_licor'] == 'watts/meter^2')
+    assert (df.units['shortwave_radiation_eppley'] == 'watts/meter^2')
+    assert (df.units['longwave_radiation'] == 'watts/meter^2')
+    assert (df.units['time'] is None)
+
+
+@recorder.use_cassette('ndbc_realtime_dart')
+def test_ndbc_realtime_dart():
+    """Test that we are properly parsing realtime dart observations."""
+    df = NDBC.realtime_observations('41421', type='dart')
+
+    assert_almost_equal(df['measurement_type'][3], 15, 1)
+    assert_almost_equal(df['height'][3], 5806.845, 3)
+    assert_equal(df['time'][3], datetime(2018, 8, 1, 11, 15))
+
+    assert (df.units['measurement_type'] == 'minutes')
+    assert (df.units['height'] == 'meters')
+    assert (df.units['time'] is None)
+
+
+@recorder.use_cassette('ndbc_realtime_supl')
+def test_ndbc_realtime_supl():
+    """Test that we are properly parsing realtime supl observations."""
+    df = NDBC.realtime_observations('PVGF1', type='supl')
+
+    assert_almost_equal(df['hourly_low_pressure'][3], 1019.0, 1)
+    assert_equal(df['hourly_low_pressure_time'][3], datetime(2018, 7, 31, 14, 36))
+    assert_almost_equal(df['hourly_high_wind'][3], 6, 1)
+    assert_equal(df['hourly_high_wind_direction'][3], np.nan)
+    assert_equal(df['hourly_high_wind_time'][3], datetime(2018, 7, 31, 14, 36))
+    assert_equal(df['time'][3], datetime(2018, 7, 31, 14, 42))
+
+    assert (df.units['hourly_low_pressure'] == 'hPa')
+    assert (df.units['hourly_low_pressure_time'] is None)
+    assert (df.units['hourly_high_wind'] == 'meters/second')
+    assert (df.units['hourly_high_wind_direction'] == 'degrees')
+    assert (df.units['hourly_high_wind_time'] is None)
+    assert (df.units['time'] is None)
+
+
+@recorder.use_cassette('ndbc_realtime_rain')
+def test_ndbc_realtime_rain():
+    """Test that we are properly parsing realtime rain observations."""
+    df = NDBC.realtime_observations('BDVF1', type='rain')
+
+    assert_almost_equal(df['hourly_accumulation'][3], 0.0, 1)
+    assert_equal(df['time'][3], datetime(2018, 8, 1, 11))
+
+    assert (df.units['hourly_accumulation'] == 'millimeters')
+    assert (df.units['time'] is None)
+
+
+@recorder.use_cassette('ndbc_latest')
+def test_ndbc_latest():
+    """Test that we are properly parsing latest NDBC observations."""
     df = NDBC.latest_observations()
 
     assert(df['station'][10] == '41004')

From 0823384dbc717ed792b54ab8f360d031b9643514 Mon Sep 17 00:00:00 2001
From: "J.R. Leeman" <kd5wxb@gmail.com>
Date: Wed, 1 Aug 2018 10:37:29 -0600
Subject: [PATCH 04/10] Add test for checking what buoy data are available.

---
 siphon/tests/fixtures/ndbc_buoy_data_types | 389 +++++++++++++++++++++
 siphon/tests/test_ndbc.py                  |  15 +
 2 files changed, 404 insertions(+)
 create mode 100644 siphon/tests/fixtures/ndbc_buoy_data_types

diff --git a/siphon/tests/fixtures/ndbc_buoy_data_types b/siphon/tests/fixtures/ndbc_buoy_data_types
new file mode 100644
index 000000000..a25ab2bc4
--- /dev/null
+++ b/siphon/tests/fixtures/ndbc_buoy_data_types
@@ -0,0 +1,389 @@
+interactions:
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+    body: null
+    headers:
+      Accept: ['*/*']
+      Accept-Encoding: ['gzip, deflate']
+      Connection: [keep-alive]
+      User-Agent: [python-requests/2.19.1]
+    method: HEAD
+    uri: https://www.ndbc.noaa.gov/data/realtime2/41002.txt
+  response:
+    body: {string: ''}
+    headers:
+      Accept-Ranges: [bytes]
+      Cache-Control: [must-revalidate]
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+      Content-Type: [text/plain; charset=ISO-8859-1]
+      Date: ['Wed, 01 Aug 2018 16:36:52 GMT']
+      Last-Modified: ['Wed, 01 Aug 2018 16:27:46 GMT']
+      Server: [Apache]
+      Strict-Transport-Security: [max-age=31536000;]
+      Vary: [Accept-Encoding]
+      X-Content-Type-Options: [nosniff]
+      X-Frame-Options: [SAMEORIGIN]
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+    uri: https://www.ndbc.noaa.gov/data/realtime2/41002.drift
+  response:
+    body: {string: ''}
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+      Date: ['Wed, 01 Aug 2018 16:36:52 GMT']
+      Server: [Apache]
+      Strict-Transport-Security: [max-age=31536000;]
+      Vary: [Accept-Encoding]
+    status: {code: 404, message: Not Found}
+- request:
+    body: null
+    headers:
+      Accept: ['*/*']
+      Accept-Encoding: ['gzip, deflate']
+      Connection: [keep-alive]
+      User-Agent: [python-requests/2.19.1]
+    method: HEAD
+    uri: https://www.ndbc.noaa.gov/data/realtime2/41002.cwind
+  response:
+    body: {string: ''}
+    headers:
+      Connection: [close]
+      Content-Encoding: [gzip]
+      Content-Length: ['20']
+      Content-Type: [text/html; charset=iso-8859-1]
+      Date: ['Wed, 01 Aug 2018 16:36:53 GMT']
+      Server: [Apache]
+      Strict-Transport-Security: [max-age=31536000;]
+      Vary: [Accept-Encoding]
+    status: {code: 404, message: Not Found}
+- request:
+    body: null
+    headers:
+      Accept: ['*/*']
+      Accept-Encoding: ['gzip, deflate']
+      Connection: [keep-alive]
+      User-Agent: [python-requests/2.19.1]
+    method: HEAD
+    uri: https://www.ndbc.noaa.gov/data/realtime2/41002.spec
+  response:
+    body: {string: ''}
+    headers:
+      Accept-Ranges: [bytes]
+      Cache-Control: [must-revalidate]
+      Connection: [close]
+      Content-Encoding: [gzip]
+      Content-Length: ['13600']
+      Content-Security-Policy: [frame-ancestors 'self']
+      Content-Type: [text/plain; charset=ISO-8859-1]
+      Date: ['Wed, 01 Aug 2018 16:36:53 GMT']
+      Last-Modified: ['Wed, 01 Aug 2018 16:06:06 GMT']
+      Server: [Apache]
+      Strict-Transport-Security: [max-age=31536000;]
+      Vary: [Accept-Encoding]
+      X-Content-Type-Options: [nosniff]
+      X-Frame-Options: [SAMEORIGIN]
+      X-XSS-Protection: [1; mode=block]
+    status: {code: 200, message: OK}
+- request:
+    body: null
+    headers:
+      Accept: ['*/*']
+      Accept-Encoding: ['gzip, deflate']
+      Connection: [keep-alive]
+      User-Agent: [python-requests/2.19.1]
+    method: HEAD
+    uri: https://www.ndbc.noaa.gov/data/realtime2/41002.data_spec
+  response:
+    body: {string: ''}
+    headers:
+      Accept-Ranges: [bytes]
+      Cache-Control: [must-revalidate]
+      Connection: [close]
+      Content-Encoding: [gzip]
+      Content-Security-Policy: [frame-ancestors 'self']
+      Content-Type: [text/plain; charset=ISO-8859-1]
+      Date: ['Wed, 01 Aug 2018 16:36:54 GMT']
+      Last-Modified: ['Wed, 01 Aug 2018 16:06:08 GMT']
+      Server: [Apache]
+      Strict-Transport-Security: [max-age=31536000;]
+      Vary: [Accept-Encoding]
+      X-Content-Type-Options: [nosniff]
+      X-Frame-Options: [SAMEORIGIN]
+      X-XSS-Protection: [1; mode=block]
+    status: {code: 200, message: OK}
+- request:
+    body: null
+    headers:
+      Accept: ['*/*']
+      Accept-Encoding: ['gzip, deflate']
+      Connection: [keep-alive]
+      User-Agent: [python-requests/2.19.1]
+    method: HEAD
+    uri: https://www.ndbc.noaa.gov/data/realtime2/41002.swdir
+  response:
+    body: {string: ''}
+    headers:
+      Accept-Ranges: [bytes]
+      Cache-Control: [must-revalidate]
+      Connection: [close]
+      Content-Encoding: [gzip]
+      Content-Security-Policy: [frame-ancestors 'self']
+      Content-Type: [text/plain; charset=ISO-8859-1]
+      Date: ['Wed, 01 Aug 2018 16:36:54 GMT']
+      Last-Modified: ['Wed, 01 Aug 2018 16:06:10 GMT']
+      Server: [Apache]
+      Strict-Transport-Security: [max-age=31536000;]
+      Vary: [Accept-Encoding]
+      X-Content-Type-Options: [nosniff]
+      X-Frame-Options: [SAMEORIGIN]
+      X-XSS-Protection: [1; mode=block]
+    status: {code: 200, message: OK}
+- request:
+    body: null
+    headers:
+      Accept: ['*/*']
+      Accept-Encoding: ['gzip, deflate']
+      Connection: [keep-alive]
+      User-Agent: [python-requests/2.19.1]
+    method: HEAD
+    uri: https://www.ndbc.noaa.gov/data/realtime2/41002.swdir2
+  response:
+    body: {string: ''}
+    headers:
+      Accept-Ranges: [bytes]
+      Cache-Control: [must-revalidate]
+      Connection: [close]
+      Content-Encoding: [gzip]
+      Content-Security-Policy: [frame-ancestors 'self']
+      Content-Type: [text/plain; charset=ISO-8859-1]
+      Date: ['Wed, 01 Aug 2018 16:36:55 GMT']
+      Last-Modified: ['Wed, 01 Aug 2018 16:06:11 GMT']
+      Server: [Apache]
+      Strict-Transport-Security: [max-age=31536000;]
+      Vary: [Accept-Encoding]
+      X-Content-Type-Options: [nosniff]
+      X-Frame-Options: [SAMEORIGIN]
+      X-XSS-Protection: [1; mode=block]
+    status: {code: 200, message: OK}
+- request:
+    body: null
+    headers:
+      Accept: ['*/*']
+      Accept-Encoding: ['gzip, deflate']
+      Connection: [keep-alive]
+      User-Agent: [python-requests/2.19.1]
+    method: HEAD
+    uri: https://www.ndbc.noaa.gov/data/realtime2/41002.swr1
+  response:
+    body: {string: ''}
+    headers:
+      Accept-Ranges: [bytes]
+      Cache-Control: [must-revalidate]
+      Connection: [close]
+      Content-Encoding: [gzip]
+      Content-Security-Policy: [frame-ancestors 'self']
+      Content-Type: [text/plain; charset=ISO-8859-1]
+      Date: ['Wed, 01 Aug 2018 16:36:55 GMT']
+      Last-Modified: ['Wed, 01 Aug 2018 16:06:13 GMT']
+      Server: [Apache]
+      Strict-Transport-Security: [max-age=31536000;]
+      Vary: [Accept-Encoding]
+      X-Content-Type-Options: [nosniff]
+      X-Frame-Options: [SAMEORIGIN]
+      X-XSS-Protection: [1; mode=block]
+    status: {code: 200, message: OK}
+- request:
+    body: null
+    headers:
+      Accept: ['*/*']
+      Accept-Encoding: ['gzip, deflate']
+      Connection: [keep-alive]
+      User-Agent: [python-requests/2.19.1]
+    method: HEAD
+    uri: https://www.ndbc.noaa.gov/data/realtime2/41002.swr2
+  response:
+    body: {string: ''}
+    headers:
+      Accept-Ranges: [bytes]
+      Cache-Control: [must-revalidate]
+      Connection: [close]
+      Content-Encoding: [gzip]
+      Content-Security-Policy: [frame-ancestors 'self']
+      Content-Type: [text/plain; charset=ISO-8859-1]
+      Date: ['Wed, 01 Aug 2018 16:36:56 GMT']
+      Last-Modified: ['Wed, 01 Aug 2018 16:06:15 GMT']
+      Server: [Apache]
+      Strict-Transport-Security: [max-age=31536000;]
+      Vary: [Accept-Encoding]
+      X-Content-Type-Options: [nosniff]
+      X-Frame-Options: [SAMEORIGIN]
+      X-XSS-Protection: [1; mode=block]
+    status: {code: 200, message: OK}
+- request:
+    body: null
+    headers:
+      Accept: ['*/*']
+      Accept-Encoding: ['gzip, deflate']
+      Connection: [keep-alive]
+      User-Agent: [python-requests/2.19.1]
+    method: HEAD
+    uri: https://www.ndbc.noaa.gov/data/realtime2/41002.adcp
+  response:
+    body: {string: ''}
+    headers:
+      Connection: [close]
+      Content-Encoding: [gzip]
+      Content-Length: ['20']
+      Content-Type: [text/html; charset=iso-8859-1]
+      Date: ['Wed, 01 Aug 2018 16:36:57 GMT']
+      Server: [Apache]
+      Strict-Transport-Security: [max-age=31536000;]
+      Vary: [Accept-Encoding]
+    status: {code: 404, message: Not Found}
+- request:
+    body: null
+    headers:
+      Accept: ['*/*']
+      Accept-Encoding: ['gzip, deflate']
+      Connection: [keep-alive]
+      User-Agent: [python-requests/2.19.1]
+    method: HEAD
+    uri: https://www.ndbc.noaa.gov/data/realtime2/41002.ocean
+  response:
+    body: {string: ''}
+    headers:
+      Connection: [close]
+      Content-Encoding: [gzip]
+      Content-Length: ['20']
+      Content-Type: [text/html; charset=iso-8859-1]
+      Date: ['Wed, 01 Aug 2018 16:36:57 GMT']
+      Server: [Apache]
+      Strict-Transport-Security: [max-age=31536000;]
+      Vary: [Accept-Encoding]
+    status: {code: 404, message: Not Found}
+- request:
+    body: null
+    headers:
+      Accept: ['*/*']
+      Accept-Encoding: ['gzip, deflate']
+      Connection: [keep-alive]
+      User-Agent: [python-requests/2.19.1]
+    method: HEAD
+    uri: https://www.ndbc.noaa.gov/data/realtime2/41002.tide
+  response:
+    body: {string: ''}
+    headers:
+      Connection: [close]
+      Content-Encoding: [gzip]
+      Content-Length: ['20']
+      Content-Type: [text/html; charset=iso-8859-1]
+      Date: ['Wed, 01 Aug 2018 16:36:58 GMT']
+      Server: [Apache]
+      Strict-Transport-Security: [max-age=31536000;]
+      Vary: [Accept-Encoding]
+    status: {code: 404, message: Not Found}
+- request:
+    body: null
+    headers:
+      Accept: ['*/*']
+      Accept-Encoding: ['gzip, deflate']
+      Connection: [keep-alive]
+      User-Agent: [python-requests/2.19.1]
+    method: HEAD
+    uri: https://www.ndbc.noaa.gov/data/realtime2/41002.srad
+  response:
+    body: {string: ''}
+    headers:
+      Connection: [close]
+      Content-Encoding: [gzip]
+      Content-Length: ['20']
+      Content-Type: [text/html; charset=iso-8859-1]
+      Date: ['Wed, 01 Aug 2018 16:36:58 GMT']
+      Server: [Apache]
+      Strict-Transport-Security: [max-age=31536000;]
+      Vary: [Accept-Encoding]
+    status: {code: 404, message: Not Found}
+- request:
+    body: null
+    headers:
+      Accept: ['*/*']
+      Accept-Encoding: ['gzip, deflate']
+      Connection: [keep-alive]
+      User-Agent: [python-requests/2.19.1]
+    method: HEAD
+    uri: https://www.ndbc.noaa.gov/data/realtime2/41002.dart
+  response:
+    body: {string: ''}
+    headers:
+      Connection: [close]
+      Content-Encoding: [gzip]
+      Content-Length: ['20']
+      Content-Type: [text/html; charset=iso-8859-1]
+      Date: ['Wed, 01 Aug 2018 16:36:59 GMT']
+      Server: [Apache]
+      Strict-Transport-Security: [max-age=31536000;]
+      Vary: [Accept-Encoding]
+    status: {code: 404, message: Not Found}
+- request:
+    body: null
+    headers:
+      Accept: ['*/*']
+      Accept-Encoding: ['gzip, deflate']
+      Connection: [keep-alive]
+      User-Agent: [python-requests/2.19.1]
+    method: HEAD
+    uri: https://www.ndbc.noaa.gov/data/realtime2/41002.supl
+  response:
+    body: {string: ''}
+    headers:
+      Accept-Ranges: [bytes]
+      Cache-Control: [must-revalidate]
+      Connection: [close]
+      Content-Encoding: [gzip]
+      Content-Length: ['36974']
+      Content-Security-Policy: [frame-ancestors 'self']
+      Content-Type: [text/plain; charset=ISO-8859-1]
+      Date: ['Wed, 01 Aug 2018 16:36:59 GMT']
+      Last-Modified: ['Wed, 01 Aug 2018 16:27:25 GMT']
+      Server: [Apache]
+      Strict-Transport-Security: [max-age=31536000;]
+      Vary: [Accept-Encoding]
+      X-Content-Type-Options: [nosniff]
+      X-Frame-Options: [SAMEORIGIN]
+      X-XSS-Protection: [1; mode=block]
+    status: {code: 200, message: OK}
+- request:
+    body: null
+    headers:
+      Accept: ['*/*']
+      Accept-Encoding: ['gzip, deflate']
+      Connection: [keep-alive]
+      User-Agent: [python-requests/2.19.1]
+    method: HEAD
+    uri: https://www.ndbc.noaa.gov/data/realtime2/41002.rain
+  response:
+    body: {string: ''}
+    headers:
+      Connection: [close]
+      Content-Encoding: [gzip]
+      Content-Length: ['20']
+      Content-Type: [text/html; charset=iso-8859-1]
+      Date: ['Wed, 01 Aug 2018 16:37:00 GMT']
+      Server: [Apache]
+      Strict-Transport-Security: [max-age=31536000;]
+      Vary: [Accept-Encoding]
+    status: {code: 404, message: Not Found}
+version: 1
diff --git a/siphon/tests/test_ndbc.py b/siphon/tests/test_ndbc.py
index e0a0e5139..332d3cf60 100644
--- a/siphon/tests/test_ndbc.py
+++ b/siphon/tests/test_ndbc.py
@@ -266,3 +266,18 @@ def test_ndbc_latest():
     assert(df.units['3hr_pressure_tendency'] == 'hPa')
     assert(df.units['water_level_above_mean'] == 'feet')
     assert(df.units['time'] is None)
+
+
+@recorder.use_cassette('ndbc_buoy_data_types')
+def test_ndbc_buoy_data_types():
+    """Test determination of available buoy data."""
+    resp = NDBC.buoy_data_types('41002')
+    truth = {'txt': 'standard meteorological data',
+             'spec': 'spectral wave summaries',
+             'data_spec': 'raw spectral wave data',
+             'swdir': 'spectral wave data (alpha1)',
+             'swdir2': 'spectral wave data (alpha2)',
+             'swr1': 'spectral wave data (r1)',
+             'swr2': 'spectral wave data (r2)',
+             'supl': 'supplemental measurements data'}
+    assert(resp == truth)

From 35c2fc6fc7841e21b535541294bb166b15cc2ac0 Mon Sep 17 00:00:00 2001
From: "J.R. Leeman" <kd5wxb@gmail.com>
Date: Wed, 1 Aug 2018 13:15:11 -0600
Subject: [PATCH 05/10] [MNT] Update link to NEP 14

---
 docs/installguide.rst | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/installguide.rst b/docs/installguide.rst
index 6d84f7387..0f9689512 100644
--- a/docs/installguide.rst
+++ b/docs/installguide.rst
@@ -14,7 +14,7 @@ This includes:
 * Core Python developers will
   `stop support for Python 2.7 January 1, 2020 <https://pythonclock.org/>`_
 * NumPy feature releases will be
-  `Python 3 only starting January 1, 2019 <https://docs.scipy.org/doc/numpy/neps/dropping-python2.7-proposal.html>`_,
+  `Python 3 only starting January 1, 2019 <http://www.numpy.org/neps/nep-0014-dropping-python2.7-proposal.html>`_,
   and support for the last release supporting Python 2 will end January 1, 2020.
 * XArray will drop
   `2.7 January 1, 2019 as well <https://github.com/pydata/xarray/issues/1830>`_

From f154dee31559dde9e8c68cd566cd643f92cb1863 Mon Sep 17 00:00:00 2001
From: "J.R. Leeman" <kd5wxb@gmail.com>
Date: Thu, 2 Aug 2018 07:19:41 -0600
Subject: [PATCH 06/10] Rename type to data_type

---
 siphon/simplewebservice/ndbc.py | 24 +++++++-----------------
 siphon/tests/test_ndbc.py       | 16 ++++++++--------
 2 files changed, 15 insertions(+), 25 deletions(-)

diff --git a/siphon/simplewebservice/ndbc.py b/siphon/simplewebservice/ndbc.py
index dadf5e6d9..e81b223f0 100644
--- a/siphon/simplewebservice/ndbc.py
+++ b/siphon/simplewebservice/ndbc.py
@@ -23,24 +23,14 @@ def __init__(self):
         super(NDBC, self).__init__('https://www.ndbc.noaa.gov/')
 
     @classmethod
-    def station_observations(cls):
-        """Retrieve the most recent 45 days of data for a buoy from NDBC.
-
-        Returns
-        -------
-            :class:`pandas.DataFrame` containing the data
-
-        """
-
-    @classmethod
-    def realtime_observations(cls, buoy, type='txt'):  # noqa: A002
+    def realtime_observations(cls, buoy, data_type='txt'):
         """Retrieve the realtime buoy data from NDBC.
 
         Parameters
         ----------
         buoy : str
             Name of buoy
-        type : str
+        data_type : str
             Type of data requested, must be one of:
             'txt': standard meteorological data
             'drift': meteorological data from drifting buoys and limited moored buoy data
@@ -69,8 +59,8 @@ def realtime_observations(cls, buoy, type='txt'):  # noqa: A002
                    'supl': endpoint._parse_supl,
                    'rain': endpoint._parse_rain}
         endpoint = cls()
-        raw_data = endpoint.raw_buoy_data(buoy, type=type)
-        return parsers[type](raw_data)
+        raw_data = endpoint.raw_buoy_data(buoy, data_type=data_type)
+        return parsers[data_type](raw_data)
 
     @staticmethod
     def _parse_met(content):
@@ -523,14 +513,14 @@ def buoy_data_types(cls, buoy):
         return available_data
 
     @classmethod
-    def raw_buoy_data(cls, buoy, type='txt'):  # noqa: A002
+    def raw_buoy_data(cls, buoy, data_type='txt'):
         """Retrieve the raw buoy data contents from NDBC.
 
         Parameters
         ----------
         buoy : str
             Name of buoy
-        type : str
+        data_type : str
             Type of data requested, must be one of:
             'txt': standard meteorological data
             'drift': meteorological data from drifting buoys and limited moored buoy data
@@ -556,5 +546,5 @@ def raw_buoy_data(cls, buoy, type='txt'):  # noqa: A002
 
         """
         endpoint = cls()
-        resp = endpoint.get_path('data/realtime2/{}.{}'.format(buoy, type))
+        resp = endpoint.get_path('data/realtime2/{}.{}'.format(buoy, data_type))
         return resp.text
diff --git a/siphon/tests/test_ndbc.py b/siphon/tests/test_ndbc.py
index 332d3cf60..fb3f5b5ff 100644
--- a/siphon/tests/test_ndbc.py
+++ b/siphon/tests/test_ndbc.py
@@ -56,7 +56,7 @@ def test_ndbc_realtime_txt():
 @recorder.use_cassette('ndbc_realtime_drift')
 def test_ndbc_realtime_drift():
     """Test that we are properly parsing realtime drift observations."""
-    df = NDBC.realtime_observations('22101', type='drift')
+    df = NDBC.realtime_observations('22101', data_type='drift')
 
     assert_almost_equal(df['latitude'][3], 37.24, 2)
     assert_almost_equal(df['longitude'][3], 126.02, 2)
@@ -84,7 +84,7 @@ def test_ndbc_realtime_drift():
 @recorder.use_cassette('ndbc_realtime_cwind')
 def test_ndbc_realtime_cwind():
     """Test that we are properly parsing realtime cwind observations."""
-    df = NDBC.realtime_observations('41008', type='cwind')
+    df = NDBC.realtime_observations('41008', data_type='cwind')
 
     assert_almost_equal(df['wind_direction'][3], 156, 1)
     assert_almost_equal(df['wind_speed'][3], 6.7, 1)
@@ -104,7 +104,7 @@ def test_ndbc_realtime_cwind():
 @recorder.use_cassette('ndbc_realtime_spec')
 def test_ndbc_realtime_spec():
     """Test that we are properly parsing realtime spec observations."""
-    df = NDBC.realtime_observations('41002', type='spec')
+    df = NDBC.realtime_observations('41002', data_type='spec')
 
     assert_almost_equal(df['significant_wave_height'][3], 1.2, 1)
     assert_almost_equal(df['swell_height'][3], 0.7, 1)
@@ -134,7 +134,7 @@ def test_ndbc_realtime_spec():
 @recorder.use_cassette('ndbc_realtime_ocean')
 def test_ndbc_realtime_ocean():
     """Test that we are properly parsing realtime ocean observations."""
-    df = NDBC.realtime_observations('45183', type='ocean')
+    df = NDBC.realtime_observations('45183', data_type='ocean')
 
     assert_almost_equal(df['measurement_depth'][3], 1.0, 1)
     assert_equal(df['ocean_temperature'][3], np.nan)
@@ -164,7 +164,7 @@ def test_ndbc_realtime_ocean():
 @recorder.use_cassette('ndbc_realtime_srad')
 def test_ndbc_realtime_srad():
     """Test that we are properly parsing realtime srad observations."""
-    df = NDBC.realtime_observations('45027', type='srad')
+    df = NDBC.realtime_observations('45027', data_type='srad')
 
     assert_almost_equal(df['shortwave_radiation_licor'][3], 51.6, 1)
     assert_equal(df['shortwave_radiation_eppley'][3], np.nan)
@@ -180,7 +180,7 @@ def test_ndbc_realtime_srad():
 @recorder.use_cassette('ndbc_realtime_dart')
 def test_ndbc_realtime_dart():
     """Test that we are properly parsing realtime dart observations."""
-    df = NDBC.realtime_observations('41421', type='dart')
+    df = NDBC.realtime_observations('41421', data_type='dart')
 
     assert_almost_equal(df['measurement_type'][3], 15, 1)
     assert_almost_equal(df['height'][3], 5806.845, 3)
@@ -194,7 +194,7 @@ def test_ndbc_realtime_dart():
 @recorder.use_cassette('ndbc_realtime_supl')
 def test_ndbc_realtime_supl():
     """Test that we are properly parsing realtime supl observations."""
-    df = NDBC.realtime_observations('PVGF1', type='supl')
+    df = NDBC.realtime_observations('PVGF1', data_type='supl')
 
     assert_almost_equal(df['hourly_low_pressure'][3], 1019.0, 1)
     assert_equal(df['hourly_low_pressure_time'][3], datetime(2018, 7, 31, 14, 36))
@@ -214,7 +214,7 @@ def test_ndbc_realtime_supl():
 @recorder.use_cassette('ndbc_realtime_rain')
 def test_ndbc_realtime_rain():
     """Test that we are properly parsing realtime rain observations."""
-    df = NDBC.realtime_observations('BDVF1', type='rain')
+    df = NDBC.realtime_observations('BDVF1', data_type='rain')
 
     assert_almost_equal(df['hourly_accumulation'][3], 0.0, 1)
     assert_equal(df['time'][3], datetime(2018, 8, 1, 11))

From 8e25cf804bff1e01383d41246a5c80e6e6449816 Mon Sep 17 00:00:00 2001
From: "J.R. Leeman" <kd5wxb@gmail.com>
Date: Thu, 2 Aug 2018 15:47:38 -0600
Subject: [PATCH 07/10] Change from pandas read_fwf to read_table

---
 siphon/simplewebservice/ndbc.py | 105 ++++++++++++++++----------------
 1 file changed, 54 insertions(+), 51 deletions(-)

diff --git a/siphon/simplewebservice/ndbc.py b/siphon/simplewebservice/ndbc.py
index e81b223f0..5123180e5 100644
--- a/siphon/simplewebservice/ndbc.py
+++ b/siphon/simplewebservice/ndbc.py
@@ -31,20 +31,20 @@ def realtime_observations(cls, buoy, data_type='txt'):
         buoy : str
             Name of buoy
         data_type : str
-            Type of data requested, must be one of:
-            'txt': standard meteorological data
-            'drift': meteorological data from drifting buoys and limited moored buoy data
-                     mainly from international partners
-            'cwind': continuous winds data (10 minute average)
-            'spec': spectral wave summaries
-            'ocean': oceanographic data
-            'srad': solar radiation data
-            'dart': water column height
-            'supl': supplemental measurements data
-            'rain': hourly rain data
-
-            Returns
-            -------
+            Type of data requested, must be one of
+            'txt' standard meteorological data
+            'drift' meteorological data from drifting buoys and limited moored buoy data
+            mainly from international partners
+            'cwind' continuous winds data (10 minute average)
+            'spec' spectral wave summaries
+            'ocean' oceanographic data
+            'srad' solar radiation data
+            'dart' water column height
+            'supl' supplemental measurements data
+            'rain' hourly rain data
+
+        Returns
+        -------
             Raw data string
 
         """
@@ -76,6 +76,7 @@ def _parse_met(content):
             :class:`pandas.DataFrame` containing the data
 
         """
+        widths = [4, 2, 2, 2, 2, 3, 4, 4, 5, 5, 5, 3, 6, 5, 5, 5, 4, 4, 5]
         col_names = ['year', 'month', 'day', 'hour', 'minute',
                      'wind_direction', 'wind_speed', 'wind_gust',
                      'wave_height', 'dominant_wave_period', 'average_wave_period',
@@ -99,7 +100,8 @@ def _parse_met(content):
                      'water_level_above_mean': 'feet',
                      'time': None}
 
-        df = pd.read_fwf(StringIO(content), skiprows=2, na_values='MM', names=col_names)
+        df = pd.read_table(StringIO(content), comment='#', na_values='MM',
+                           names=col_names, sep='\s+')
         df['time'] = pd.to_datetime(df[['year', 'month', 'day', 'hour', 'minute']], utc=True)
         df = df.drop(columns=['year', 'month', 'day', 'hour', 'minute'])
         df.units = col_units
@@ -136,8 +138,8 @@ def _parse_drift(content):
                      '3hr_pressure_tendency': 'hPa',
                      'time': None}
 
-        df = pd.read_fwf(StringIO(content), skiprows=2,
-                         na_values='MM', names=col_names)
+        df = pd.read_table(StringIO(content), comment='#', na_values='MM',
+                           names=col_names, sep='\s+')
         df['hour'] = np.floor(df['hour_minute'] / 100)
         df['minute'] = df['hour_minute'] - df['hour'] * 100
         df['time'] = pd.to_datetime(df[['year', 'month', 'day', 'hour', 'minute']], utc=True)
@@ -170,8 +172,8 @@ def _parse_cwind(content):
                      'gust_time': None,
                      'time': None}
 
-        df = pd.read_fwf(StringIO(content), skiprows=2,
-                         na_values='MM', names=col_names)
+        df = pd.read_table(StringIO(content), comment='#', na_values='MM',
+                           names=col_names, sep='\s+')
         df['gust_direction'] = df['gust_direction'].replace(999, np.nan)
         df['wind_gust'] = df['wind_gust'].replace(99.0, np.nan)
         df['time'] = pd.to_datetime(df[['year', 'month', 'day', 'hour', 'minute']], utc=True)
@@ -218,8 +220,8 @@ def _parse_spec(content):
                      'dominant_wave_direction': 'degrees',
                      'time': None}
 
-        df = pd.read_fwf(StringIO(content), skiprows=2,
-                         na_values=['MM', 'N/A'], names=col_names)
+        df = pd.read_table(StringIO(content), comment='#', na_values='MM',
+                           names=col_names, sep='\s+')
         df['time'] = pd.to_datetime(df[['year', 'month', 'day', 'hour', 'minute']], utc=True)
         df = df.drop(columns=['year', 'month', 'day', 'hour', 'minute'])
         df.units = col_units
@@ -257,8 +259,8 @@ def _parse_ocean(content):
                      'Eh': 'millivolts',
                      'time': None}
 
-        df = pd.read_fwf(StringIO(content), skiprows=2,
-                         na_values='MM', names=col_names)
+        df = pd.read_table(StringIO(content), comment='#', na_values='MM',
+                           names=col_names, sep='\s+')
         df['time'] = pd.to_datetime(df[['year', 'month', 'day', 'hour', 'minute']], utc=True)
         df = df.drop(columns=['year', 'month', 'day', 'hour', 'minute'])
         df.units = col_units
@@ -287,8 +289,8 @@ def _parse_srad(content):
                      'longwave_radiation': 'watts/meter^2',
                      'time': None}
 
-        df = pd.read_fwf(StringIO(content), skiprows=2,
-                         na_values='MM', names=col_names)
+        df = pd.read_table(StringIO(content), comment='#', na_values='MM',
+                           names=col_names, sep='\s+')
         df['time'] = pd.to_datetime(df[['year', 'month', 'day', 'hour', 'minute']], utc=True)
         df = df.drop(columns=['year', 'month', 'day', 'hour', 'minute'])
         df.units = col_units
@@ -315,8 +317,8 @@ def _parse_dart(content):
                      'height': 'meters',
                      'time': None}
 
-        df = pd.read_fwf(StringIO(content), skiprows=2,
-                         na_values='MM', names=col_names)
+        df = pd.read_table(StringIO(content), comment='#', na_values='MM',
+                           names=col_names, sep='\s+')
 
         # Replace measurement type integer with minute value
         # 1 = 15-minute measurement
@@ -352,8 +354,8 @@ def _parse_rain(content):
         col_units = {'hourly_accumulation': 'millimeters',
                      'time': None}
 
-        df = pd.read_fwf(StringIO(content), skiprows=2,
-                         na_values='MM', names=col_names)
+        df = pd.read_table(StringIO(content), comment='#', na_values='MM',
+                           names=col_names, sep='\s+')
 
         df['time'] = pd.to_datetime(df[['year', 'month', 'day', 'hour', 'minute']], utc=True)
         df = df.drop(columns=['year', 'month', 'day', 'hour', 'minute'])
@@ -386,8 +388,8 @@ def _parse_supl(content):
                      'hourly_high_wind_time': None,
                      'time': None}
 
-        df = pd.read_fwf(StringIO(content), skiprows=2,
-                         na_values='MM', names=col_names)
+        df = pd.read_table(StringIO(content), comment='#', na_values='MM',
+                           names=col_names, sep='\s+')
 
         df['time'] = pd.to_datetime(df[['year', 'month', 'day', 'hour', 'minute']], utc=True)
 
@@ -446,8 +448,8 @@ def latest_observations(cls):
                      'time': None}
         resp = endpoint.get_path('data/latest_obs/latest_obs.txt')
 
-        df = pd.read_fwf(StringIO(resp.text), skiprows=2,
-                         na_values='MM', names=col_names)
+        df = pd.read_table(StringIO(resp.text), comment='#', na_values='MM',
+                           names=col_names, sep='\s+')
         df['time'] = pd.to_datetime(df[['year', 'month', 'day', 'hour', 'minute']], utc=True)
         df = df.drop(columns=['year', 'month', 'day', 'hour', 'minute'])
         df.units = col_units
@@ -520,25 +522,26 @@ def raw_buoy_data(cls, buoy, data_type='txt'):
         ----------
         buoy : str
             Name of buoy
+
         data_type : str
-            Type of data requested, must be one of:
-            'txt': standard meteorological data
-            'drift': meteorological data from drifting buoys and limited moored buoy data
-                     mainly from international partners
-            'cwind': continuous winds data (10 minute average)
-            'spec': spectral wave summaries
-            'data_spec': raw spectral wave data
-            'swdir': spectral wave data (alpha1)
-            'swdir2': spectral wave data (alpha2)
-            'swr1': spectral wave data (r1)
-            'swr2': spectral wave data (r2)
-            'adcp': acoustic doppler current profiler
-            'ocean': oceanographic data
-            'tide': tide data
-            'srad': solar radiation data
-            'dart': water column height
-            'supl': supplemental measurements data
-            'rain': hourly rain data
+            Type of data requested, must be one of
+            'txt' standard meteorological data
+            'drift' meteorological data from drifting buoys and limited moored buoy data
+            mainly from international partners
+            'cwind' continuous winds data (10 minute average)
+            'spec' spectral wave summaries
+            'data_spec' raw spectral wave data
+            'swdir' spectral wave data (alpha1)
+            'swdir2' spectral wave data (alpha2)
+            'swr1' spectral wave data (r1)
+            'swr2' spectral wave data (r2)
+            'adcp' acoustic doppler current profiler
+            'ocean' oceanographic data
+            'tide' tide data
+            'srad' solar radiation data
+            'dart' water column height
+            'supl' supplemental measurements data
+            'rain' hourly rain data
 
         Returns
         -------

From 71e2691181137d2563fb9d472bd17229fe59e85c Mon Sep 17 00:00:00 2001
From: "J.R. Leeman" <kd5wxb@gmail.com>
Date: Thu, 2 Aug 2018 15:47:50 -0600
Subject: [PATCH 08/10] Add ndbc to docs

---
 docs/api/simplewebservice.rst | 15 +++++++++++----
 1 file changed, 11 insertions(+), 4 deletions(-)

diff --git a/docs/api/simplewebservice.rst b/docs/api/simplewebservice.rst
index 727a7a083..e4196272a 100644
--- a/docs/api/simplewebservice.rst
+++ b/docs/api/simplewebservice.rst
@@ -20,16 +20,23 @@
    :members:
    :special-members: __init__
 
-======================================
+====================================
 :mod:`siphon.simplewebservice.igra2`
-======================================
+====================================
 .. automodule:: siphon.simplewebservice.igra2
    :members:
    :special-members: __init__
 
-======================================
+===================================
 :mod:`siphon.simplewebservice.acis`
-======================================
+===================================
 .. automodule:: siphon.simplewebservice.acis
+   :members:
+   :special-members: __init__
+
+===================================
+:mod:`siphon.simplewebservice.ndbc`
+===================================
+.. automodule:: siphon.simplewebservice.ndbc
    :members:
    :special-members: __init__
\ No newline at end of file

From 266e7245b2ad81f839b37476802febfc75e859b2 Mon Sep 17 00:00:00 2001
From: "J.R. Leeman" <kd5wxb@gmail.com>
Date: Thu, 2 Aug 2018 15:48:03 -0600
Subject: [PATCH 09/10] Add NDBC examples

---
 examples/ndbc/README.txt           |  7 +++++
 examples/ndbc/buoy_met_request.py  | 42 ++++++++++++++++++++++++++++++
 examples/ndbc/buoy_type_request.py | 23 ++++++++++++++++
 examples/ndbc/latest_request.py    | 42 ++++++++++++++++++++++++++++++
 4 files changed, 114 insertions(+)
 create mode 100644 examples/ndbc/README.txt
 create mode 100644 examples/ndbc/buoy_met_request.py
 create mode 100644 examples/ndbc/buoy_type_request.py
 create mode 100644 examples/ndbc/latest_request.py

diff --git a/examples/ndbc/README.txt b/examples/ndbc/README.txt
new file mode 100644
index 000000000..fdbab29d6
--- /dev/null
+++ b/examples/ndbc/README.txt
@@ -0,0 +1,7 @@
+.. _ndbc_examples:
+
+National Data Buoy Center (NDBC)
+--------------------------------
+
+Examples of requesting data from the National Data Buoy Center latest and realtime
+data sources.
\ No newline at end of file
diff --git a/examples/ndbc/buoy_met_request.py b/examples/ndbc/buoy_met_request.py
new file mode 100644
index 000000000..1264ee21e
--- /dev/null
+++ b/examples/ndbc/buoy_met_request.py
@@ -0,0 +1,42 @@
+# Copyright (c) 2018 Siphon Contributors.
+# Distributed under the terms of the BSD 3-Clause License.
+# SPDX-License-Identifier: BSD-3-Clause
+"""
+NDBC Buoy Meteorological Data Request
+=====================================
+
+The NDBC keeps a 45-day recent rolling file for each buoy. This examples shows how to access
+the basic meteorological data from a buoy and make a simple plot.
+"""
+
+import matplotlib.pyplot as plt
+
+from siphon.simplewebservice.ndbc import NDBC
+
+####################################################
+# Get a pandas data frame of all of the observations, meteorological data is the default
+# observation set to query.
+df = NDBC.realtime_observations('41002')
+df.head()
+
+####################################################
+# Let's make a simple time series plot to checkout what the data look like.
+fig, (ax1, ax2, ax3) = plt.subplots(3, 1, figsize=(12, 10))
+ax2b = ax2.twinx()
+
+# Pressure
+ax1.plot(df['time'], df['pressure'], color='black')
+ax1.set_ylabel('Pressure [hPa]')
+
+# Wind speed, gust, direction
+ax2.plot(df['time'], df['wind_speed'], color='tab:orange')
+ax2.plot(df['time'], df['wind_gust'], color='tab:olive', linestyle='--')
+ax2b.plot(df['time'], df['wind_direction'], color='tab:blue', linestyle='-')
+ax2.set_ylabel('Wind Speed [m/s]')
+ax2b.set_ylabel('Wind Direction')
+
+# Water temperature
+ax3.plot(df['time'], df['water_temperature'], color='tab:brown')
+ax3.set_ylabel('Water Temperature [degC]')
+
+plt.show()
diff --git a/examples/ndbc/buoy_type_request.py b/examples/ndbc/buoy_type_request.py
new file mode 100644
index 000000000..905cc5e15
--- /dev/null
+++ b/examples/ndbc/buoy_type_request.py
@@ -0,0 +1,23 @@
+# Copyright (c) 2018 Siphon Contributors.
+# Distributed under the terms of the BSD 3-Clause License.
+# SPDX-License-Identifier: BSD-3-Clause
+"""
+NDBC Buoy Data Request (of any type)
+====================================
+
+The NDBC keeps a 40-day recent rolling file for each buoy. This examples shows how to access
+the other types of data available for a buoy.
+"""
+
+from siphon.simplewebservice.ndbc import NDBC
+
+####################################################
+# Request the types of data available from a given buoy.
+data_aval = NDBC.buoy_data_types('41002')
+print(data_aval)
+
+####################################################
+# Get a pandas data frame of all of the observations, meteorological data is the default
+# observation set to query.
+df = NDBC.realtime_observations('41002', data_type='supl')
+df.head()
diff --git a/examples/ndbc/latest_request.py b/examples/ndbc/latest_request.py
new file mode 100644
index 000000000..d56f5c89b
--- /dev/null
+++ b/examples/ndbc/latest_request.py
@@ -0,0 +1,42 @@
+# Copyright (c) 2018 Siphon Contributors.
+# Distributed under the terms of the BSD 3-Clause License.
+# SPDX-License-Identifier: BSD-3-Clause
+"""
+NDBC Latest Data Request
+========================
+
+This example shows how to use siphon's `simplewebswervice` support query the most recent
+observations from all of the NDBC buoys at once.
+"""
+
+import cartopy.crs as ccrs
+import cartopy.feature as cfeature
+import matplotlib.pyplot as plt
+
+from siphon.simplewebservice.ndbc import NDBC
+
+####################################################
+# Get a pandas data frame of all of the observations
+df = NDBC.latest_observations()
+df.head()
+
+####################################################
+# In this case I'm going to drop buoys that do not have water temperature measurements.
+df.dropna(subset=['water_temperature'], inplace=True)
+
+####################################################
+# Let's make a simple plot of the buoy positions and color by water temperature
+proj = ccrs.LambertConformal(central_latitude=45., central_longitude=-100.,
+                             standard_parallels=[30, 60])
+
+fig = plt.figure(figsize=(17., 11.))
+ax = plt.axes(projection=proj)
+ax.coastlines('50m', edgecolor='black')
+ax.add_feature(cfeature.OCEAN.with_scale('50m'))
+ax.add_feature(cfeature.LAND.with_scale('50m'))
+ax.set_extent([-85, -75, 25, 30], ccrs.PlateCarree())
+
+ax.scatter(df['longitude'], df['latitude'], c=df['water_temperature'],
+           transform=ccrs.PlateCarree())
+
+plt.show()

From a5dcdb40183ece570feb1c8028bb425394349aa4 Mon Sep 17 00:00:00 2001
From: "J.R. Leeman" <kd5wxb@gmail.com>
Date: Thu, 2 Aug 2018 15:56:23 -0600
Subject: [PATCH 10/10] Add datatype checking on realtime and test

---
 siphon/simplewebservice/ndbc.py | 7 +++++--
 siphon/tests/test_ndbc.py       | 7 +++++++
 2 files changed, 12 insertions(+), 2 deletions(-)

diff --git a/siphon/simplewebservice/ndbc.py b/siphon/simplewebservice/ndbc.py
index 5123180e5..df043724e 100644
--- a/siphon/simplewebservice/ndbc.py
+++ b/siphon/simplewebservice/ndbc.py
@@ -58,7 +58,11 @@ def realtime_observations(cls, buoy, data_type='txt'):
                    'dart': endpoint._parse_dart,
                    'supl': endpoint._parse_supl,
                    'rain': endpoint._parse_rain}
-        endpoint = cls()
+
+        if data_type not in parsers:
+            raise KeyError('Data type must be txt, drift, cwind, spec, ocean, srad, dart,'
+                           'supl, or rain for parsed realtime data.')
+
         raw_data = endpoint.raw_buoy_data(buoy, data_type=data_type)
         return parsers[data_type](raw_data)
 
@@ -76,7 +80,6 @@ def _parse_met(content):
             :class:`pandas.DataFrame` containing the data
 
         """
-        widths = [4, 2, 2, 2, 2, 3, 4, 4, 5, 5, 5, 3, 6, 5, 5, 5, 4, 4, 5]
         col_names = ['year', 'month', 'day', 'hour', 'minute',
                      'wind_direction', 'wind_speed', 'wind_gust',
                      'wave_height', 'dominant_wave_period', 'average_wave_period',
diff --git a/siphon/tests/test_ndbc.py b/siphon/tests/test_ndbc.py
index fb3f5b5ff..6aa91ca23 100644
--- a/siphon/tests/test_ndbc.py
+++ b/siphon/tests/test_ndbc.py
@@ -7,6 +7,7 @@
 
 import numpy as np
 from numpy.testing import assert_almost_equal, assert_equal
+import pytest
 
 from siphon.simplewebservice.ndbc import NDBC
 from siphon.testing import get_recorder
@@ -281,3 +282,9 @@ def test_ndbc_buoy_data_types():
              'swr2': 'spectral wave data (r2)',
              'supl': 'supplemental measurements data'}
     assert(resp == truth)
+
+
+def test_ndbc_realtime_keyerror():
+    """Ensure an error is raised for invalid parsed data type requests."""
+    with pytest.raises(KeyError):
+        NDBC.realtime_observations('41002', data_type='dartt')