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Update develop-ref after #1662 (#1669)
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* Per 1646, one line fix for cut-and-paste error. (#1647)

* Per #1644, no actual code changes here. Just formatting and spacing. For example, replace double ;; with single ;'

* Per #1644, FOUND THE BUG! It's a copy/paste error. We had var_name_map.end() that should be def_var_name_map.end(). Fixing that gets rid of the runtime hang.'

* Per #1643, redefine the contents of the existing AREA_RATIO output column from MODE. Define it as FCST/OBS object area instead of min/max. Update the User's Guide to note the change and also clarify that the MTD VOLUME_RATIO output really is FCST/OBS. (#1650)

* Feature 1644 ps_log (#1651)

* Per #1644, write rejection reason codes at verbosity 2 when there are 0 matched pairs.

* Per #1644, add a few sentences to Point-Stat, Practical Information chapter about debugging 0 matched pairs.

* The mode_conv.pl logic was slightly broken. MET PR #1650 should have broken the NB but it did not. Turns out the diffing logic is NOT properly distinguishing between single and pair object lines. It does this by looking for an underscore in the OBJECT_ID column. When we added FCST_UNITS and OBS_UNITS, that shifted OBJECT_ID up 2 spots, but the code was still checking the (0-based) 20th column instead of the 22nd. Fixing this now and will rerun NB20210202 to confirm it works again.

* The diffing logic for MODE pair lines still was not correct. We'd added the ASPECT_DIFF and CURVATURE_RATIO columns a while ago, but they were missing from the diff logic. This logic really is not good. We need to make it more robust, reading the version-specific header columns from a table file instead of hard-coding them!

* Feature 1653 rscripts (#1654)

* Per #1653, update plot_cnt.R and plot_mpr.R to remove the version-specific header columns.

* Per #1653, nice enhancments to these Rscripts to make them more independent of the MET version number.

* Per #1653, more tweaks

* Per #1653, if no input files are provided, error out with a useful message.

* Per #1653, while the scripts ran fine using R 4.0.2 on my Mac, they fail on eyewall using R 3.4.0. Adding as.character() to get past that error.

* Feature 1655 nc_log (#1656)

* #1630 Display a warning instead of error message with invalid variable if the input data is empty

* Feature 1658 grib_tables (#1659)

* Per #1658, update MXUPHL entries.

* Per #1658, updating long name for MAXREF, MAXUVV, and MAXDVV.

* Modified format of release notes

* Feature 1450 hersbach (#1662)

* Per #1450, add new ECNT columns for Hersback CRPS. Still need to actually compute the stats though.

* Per #1450, update NumArray functions to only sort if the data is not yet sorted. And check for bad data when computing the standard deviation.

* Per #1450, add code to compute the empirical CRPS value.

* Per #1450, large change to the new output for the empirical CRPS. In order to aggregate decomposed empirical CRPS reliability and potential correctly, we'd need to write (n+1)*2 additional columns. While the empirical crps can be aggregated as a weighted mean, the decomposition cannot. It just isn't feasible to do this in the ECNT line type. If this reliability and potential really are required, recommend that we add an entirely new CRPS line type instead of tacking onto ECNT. These changes simply remove reliabilit and potential from the output.

* Per #1450 and #1451, replacing single CRPS_CLIMO column with CRPSCL and CRPSCL_EMP which will be needed for #1451.

* Per #1450, delete temp files I'd accidentally committed.

* Per #1450, update the user's guide with CRPS updates.

* Fix bug replacing crpss_emp with crpss_gaus.

Co-authored-by: John Halley Gotway <[email protected]>
Co-authored-by: Howard Soh <[email protected]>
Co-authored-by: hsoh-u <[email protected]>
Co-authored-by: Julie.Prestopnik <[email protected]>
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@JohnHalleyGotway @hsoh-u @jprestop
5 people authored Feb 18, 2021
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362 changes: 0 additions & 362 deletions met/.cproject
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8 changes: 4 additions & 4 deletions met/data/table_files/grib1_ncep_129_7.txt
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Expand Up @@ -234,10 +234,10 @@ GRIB1
232 129 7 -1 "OZMAX8" "Ozone Daily Max from 8-hour Average" "ppbV"
233 129 7 -1 "PDMAX1" "PM 2.5 Daily Max from 1-hour Average" "mcg/m^3"
234 129 7 -1 "PDMX24" "PM 2.5 Daily Max from 24-hour Average" "mcg/m^3"
235 129 7 -1 "MAXREF" "Hourly Maximum of Simulated Reflectivity at 1 km AGL" "dbZ"
236 129 7 -1 "MXUPHL" "Hourly Maximum of Updraft Helicity over layer 2km to 5 km AGL" "m^2/s^2"
237 129 7 -1 "MAXUVV" "Hourly Maximum of Upward Vertical Velocity in the lowest 400hPa" "m/s"
238 129 7 -1 "MAXDVV" "Hourly Maximum of Downward Vertical Velocity in the lowest 400hPa" "m/s"
235 129 7 -1 "MAXREF" "Hourly Maximum of Simulated Reflectivity" "dbZ"
236 129 7 -1 "MXUPHL" "Hourly Maximum of Updraft Helicity" "m^2/s^2"
237 129 7 -1 "MAXUVV" "Hourly Maximum of Upward Vertical Velocity" "m/s"
238 129 7 -1 "MAXDVV" "Hourly Maximum of Downward Vertical Velocity" "m/s"
239 129 7 -1 "MAXVIG" "Hourly Maximum of Column Vertical Integrated Graupel" "kg/m^2"
240 129 7 -1 "RETOP" "Radar Echo Top (18.3 DBZ)" "m"
241 129 7 -1 "VRATE" "Ventilation Rate" "m^2/s"
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10 changes: 5 additions & 5 deletions met/data/table_files/grib2_all.txt
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Expand Up @@ -421,11 +421,11 @@ GRIB2
0 1 0 255 0 0 1 97 "MASSDS" "Mass Density of Snow" "kg/m^3"
0 1 0 255 0 0 20 2 "MASSMR" "Mass Mixing Ratio (Mass Fraction in Air)" "kg/kg"
0 1 0 255 0 0 1 28 "MAXAH" "Maximum Absolute Humidity" "kg/m^3"
0 0 0 255 7 1 2 221 "MAXDVV" "Hourly Maximum of Downward Vertical Velocity in the lowest 400hPa" "m/s"
0 0 0 255 7 1 2 221 "MAXDVV" "Hourly Maximum of Downward Vertical Velocity" "m/s"
0 1 0 255 0 0 2 21 "MAXGUST" "Maximum Wind Speed" "m/s"
0 0 0 255 7 1 16 198 "MAXREF" "Hourly Maximum of Simulated Reflectivity at 1 km AGL" "dB"
0 0 0 255 7 1 16 198 "MAXREF" "Hourly Maximum of Simulated Reflectivity" "dB"
0 1 0 255 0 0 1 27 "MAXRH" "Maximum Relative Humidity" "%"
0 0 0 255 7 1 2 220 "MAXUVV" "Hourly Maximum of Upward Vertical Velocity in the lowest 400hPa" "m/s"
0 0 0 255 7 1 2 220 "MAXUVV" "Hourly Maximum of Upward Vertical Velocity" "m/s"
0 0 0 255 7 1 2 222 "MAXUW" "U Component of Hourly Maximum 10m Wind Speed" "m/s"
0 0 0 255 7 1 2 223 "MAXVW" "V Component of Hourly Maximum 10m Wind Speed" "m/s"
10 1 0 255 0 0 0 24 "MAXWH" "Maximum Individual Wave Height" "m"
Expand Down Expand Up @@ -460,7 +460,7 @@ GRIB2
0 1 0 255 0 0 19 28 "MWTURB" "Mountain Wave Turbulence (Eddy Dissipation Rate)" "m2/3s-1"
0 0 0 255 7 1 19 192 "MXSALB" "Maximum Snow Albedo" "%"
0 1 0 255 0 0 19 17 "MXSALB" "Maximum Snow Albedosee Note 1" "%"
0 0 0 255 7 1 7 199 "MXUPHL" "Hourly Maximum of Updraft Helicity over Layer 2km to 5 km AGL" "m^2/s^2"
0 0 0 255 7 1 7 199 "MXUPHL" "Hourly Maximum of Updraft Helicity" "m^2/s^2"
10 1 0 255 0 0 0 30 "MZPTSW" "Mean Zero-Crossing Period of The Total Swell" "s"
10 1 0 255 0 0 0 29 "MZPWW" "Mean Zero-Crossing Period of The Wind Waves" "s"
10 1 0 255 0 0 0 28 "MZWPER" "Mean Zero-Crossing Wave Period" "s"
Expand Down Expand Up @@ -1016,4 +1016,4 @@ GRIB2
4 1 0 255 0 0 6 1 "XLONG" "Solar X-ray Flux (XRS Long)" "W/m^2"
4 1 0 255 0 0 8 0 "XRAYRAD" "X-Ray Radiance" "W/sr/m^2"
4 1 0 255 0 0 6 2 "XSHRT" "Solar X-ray Flux (XRS Short)" "W/m^2"
10 1 0 255 0 0 2 10 "ZVCICEP" "Zonal Vector Component of Vertically Integrated Ice Internal Pressure" "Pa*m"
10 1 0 255 0 0 2 10 "ZVCICEP" "Zonal Vector Component of Vertically Integrated Ice Internal Pressure" "Pa*m"
2 changes: 1 addition & 1 deletion met/data/table_files/met_header_columns_V10.0.txt
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Expand Up @@ -17,7 +17,7 @@ V10.0 : STAT : PJC : VERSION MODEL DESC FCST_LEAD FCST_VALID_BEG FCST_VALID
V10.0 : STAT : PRC : VERSION MODEL DESC FCST_LEAD FCST_VALID_BEG FCST_VALID_END OBS_LEAD OBS_VALID_BEG OBS_VALID_END FCST_VAR FCST_UNITS FCST_LEV OBS_VAR OBS_UNITS OBS_LEV OBTYPE VX_MASK INTERP_MTHD INTERP_PNTS FCST_THRESH OBS_THRESH COV_THRESH ALPHA LINE_TYPE TOTAL (N_THRESH) THRESH_[0-9]* PODY_[0-9]* POFD_[0-9]*
V10.0 : STAT : PSTD : VERSION MODEL DESC FCST_LEAD FCST_VALID_BEG FCST_VALID_END OBS_LEAD OBS_VALID_BEG OBS_VALID_END FCST_VAR FCST_UNITS FCST_LEV OBS_VAR OBS_UNITS OBS_LEV OBTYPE VX_MASK INTERP_MTHD INTERP_PNTS FCST_THRESH OBS_THRESH COV_THRESH ALPHA LINE_TYPE TOTAL (N_THRESH) BASER BASER_NCL BASER_NCU RELIABILITY RESOLUTION UNCERTAINTY ROC_AUC BRIER BRIER_NCL BRIER_NCU BRIERCL BRIERCL_NCL BRIERCL_NCU BSS BSS_SMPL THRESH_[0-9]*
V10.0 : STAT : ECLV : VERSION MODEL DESC FCST_LEAD FCST_VALID_BEG FCST_VALID_END OBS_LEAD OBS_VALID_BEG OBS_VALID_END FCST_VAR FCST_UNITS FCST_LEV OBS_VAR OBS_UNITS OBS_LEV OBTYPE VX_MASK INTERP_MTHD INTERP_PNTS FCST_THRESH OBS_THRESH COV_THRESH ALPHA LINE_TYPE TOTAL BASER VALUE_BASER (N_PTS) CL_[0-9]* VALUE_[0-9]*
V10.0 : STAT : ECNT : VERSION MODEL DESC FCST_LEAD FCST_VALID_BEG FCST_VALID_END OBS_LEAD OBS_VALID_BEG OBS_VALID_END FCST_VAR FCST_UNITS FCST_LEV OBS_VAR OBS_UNITS OBS_LEV OBTYPE VX_MASK INTERP_MTHD INTERP_PNTS FCST_THRESH OBS_THRESH COV_THRESH ALPHA LINE_TYPE TOTAL N_ENS CRPS CRPSS IGN ME RMSE SPREAD ME_OERR RMSE_OERR SPREAD_OERR SPREAD_PLUS_OERR
V10.0 : STAT : ECNT : VERSION MODEL DESC FCST_LEAD FCST_VALID_BEG FCST_VALID_END OBS_LEAD OBS_VALID_BEG OBS_VALID_END FCST_VAR FCST_UNITS FCST_LEV OBS_VAR OBS_UNITS OBS_LEV OBTYPE VX_MASK INTERP_MTHD INTERP_PNTS FCST_THRESH OBS_THRESH COV_THRESH ALPHA LINE_TYPE TOTAL N_ENS CRPS CRPSS IGN ME RMSE SPREAD ME_OERR RMSE_OERR SPREAD_OERR SPREAD_PLUS_OERR CRPSCL CRPS_EMP CRPSCL_EMP CRPSS_EMP
V10.0 : STAT : RPS : VERSION MODEL DESC FCST_LEAD FCST_VALID_BEG FCST_VALID_END OBS_LEAD OBS_VALID_BEG OBS_VALID_END FCST_VAR FCST_UNITS FCST_LEV OBS_VAR OBS_UNITS OBS_LEV OBTYPE VX_MASK INTERP_MTHD INTERP_PNTS FCST_THRESH OBS_THRESH COV_THRESH ALPHA LINE_TYPE TOTAL N_PROB RPS_REL RPS_RES RPS_UNC RPS RPSS RPSS_SMPL RPS_COMP
V10.0 : STAT : RHIST : VERSION MODEL DESC FCST_LEAD FCST_VALID_BEG FCST_VALID_END OBS_LEAD OBS_VALID_BEG OBS_VALID_END FCST_VAR FCST_UNITS FCST_LEV OBS_VAR OBS_UNITS OBS_LEV OBTYPE VX_MASK INTERP_MTHD INTERP_PNTS FCST_THRESH OBS_THRESH COV_THRESH ALPHA LINE_TYPE TOTAL (N_RANK) RANK_[0-9]*
V10.0 : STAT : PHIST : VERSION MODEL DESC FCST_LEAD FCST_VALID_BEG FCST_VALID_END OBS_LEAD OBS_VALID_BEG OBS_VALID_END FCST_VAR FCST_UNITS FCST_LEV OBS_VAR OBS_UNITS OBS_LEV OBTYPE VX_MASK INTERP_MTHD INTERP_PNTS FCST_THRESH OBS_THRESH COV_THRESH ALPHA LINE_TYPE TOTAL BIN_SIZE (N_BIN) BIN_[0-9]*
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8 changes: 5 additions & 3 deletions met/docs/Users_Guide/appendixC.rst
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Expand Up @@ -887,9 +887,9 @@ ________________________________________________
CRPS
~~~~

Called "CRPS" in ECNT output :numref:`table_ES_header_info_es_out_ECNT`
Called "CRPS", "CRPSCL", "CRPS_EMP", and "CRPSCL_EMP" in ECNT output :numref:`table_ES_header_info_es_out_ECNT`

The continuous ranked probability score (CRPS) is the integral, over all possible thresholds, of the Brier scores (:ref:`Gneiting et al., 2004 <Gneiting-2004>`). In MET, the CRPS calculation uses a normal distribution fit to the ensemble forecasts. In many cases, use of other distributions would be better.
The continuous ranked probability score (CRPS) is the integral, over all possible thresholds, of the Brier scores (:ref:`Gneiting et al., 2004 <Gneiting-2004>`). In MET, the CRPS is calculated two ways: using a normal distribution fit to the ensemble forecasts (CRPS and CRPSCL), and using the empirical ensemble distribution (CRPS_EMP and CRPSCL_EMP). In some cases, use of other distributions would be better.

WARNING: The normal distribution is probably a good fit for temperature and pressure, and possibly a not horrible fit for winds. However, the normal approximation will not work on most precipitation forecasts and may fail for many other atmospheric variables.

Expand All @@ -906,12 +906,14 @@ The score can be interpreted as a continuous version of the mean absolute error
CRPS Skill Score
~~~~~~~~~~~~~~~~

Called "CRPSS" in ECNT output :numref:`table_ES_header_info_es_out_ECNT`
Called "CRPSS" and "CRPSS_EMP" in ECNT output :numref:`table_ES_header_info_es_out_ECNT`

The continuous ranked probability skill score (CRPSS) is similar to the MSESS and the BSS, in that it compares its namesake score to that of a reference forecast to produce a positively oriented score between 0 and 1.

.. math:: \text{CRPSS} = 1 - \frac{\text{CRPS}_{fcst}}{ \text{CRPS}_{ref}}

For the normal distribution fit (CRPSS), the reference CRPS is computed using the climatological mean and standard deviation. For the empirical distribution (CRPSS_EMP), the reference CRPS is computed by sampling from the assumed normal climatological distribution defined by the mean and standard deviation.

IGN
~~~

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18 changes: 15 additions & 3 deletions met/docs/Users_Guide/ensemble-stat.rst
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Expand Up @@ -31,7 +31,7 @@ Often, the goal of ensemble forecasting is to reproduce the distribution of obse

The relative position (RELP) is a count of the number of times each ensemble member is closest to the observation. For stochastic or randomly derived ensembles, this statistic is meaningless. For specified ensemble members, however, it can assist users in determining if any ensemble member is performing consistently better or worse than the others.

The ranked probability score (RPS) is included in the Ranked Probability Score (RPS) line type. It is the mean of the Brier scores computed from ensemble probabilities derived for each probability category threshold (prob_cat_thresh) specified in the configuration file. The continuous ranked probability score (CRPS) is the average the distance between the forecast (ensemble) cumulative distribution function and the observation cumulative distribution function. It is an analog of the Brier score, but for continuous forecast and observation fields. (:ref:`Gneiting et al., 2004 <Gneiting-2004>`). The CRPS statistic is included in the Ensemble Continuous Statistics (ECNT) line type, along with other statistics quantifying the ensemble spread and ensemble mean skill.
The ranked probability score (RPS) is included in the Ranked Probability Score (RPS) line type. It is the mean of the Brier scores computed from ensemble probabilities derived for each probability category threshold (prob_cat_thresh) specified in the configuration file. The continuous ranked probability score (CRPS) is the average the distance between the forecast (ensemble) cumulative distribution function and the observation cumulative distribution function. It is an analog of the Brier score, but for continuous forecast and observation fields. The CRPS statistic is computed using two methods: assuming a normal distribution defined by the ensemble mean and spread (:ref:`Gneiting et al., 2004 <Gneiting-2004>`) and using the empirical ensemble distribution (:ref:`Hersbach, 2000 <Hersbach-2000>`). The CRPS statistic is included in the Ensemble Continuous Statistics (ECNT) line type, along with other statistics quantifying the ensemble spread and ensemble mean skill.

Ensemble observation error
~~~~~~~~~~~~~~~~~~~~~~~~~~
Expand Down Expand Up @@ -587,10 +587,10 @@ The format of the STAT and ASCII output of the Ensemble-Stat tool are described
- Number of ensemble values
* - 27
- CRPS
- The Continuous Ranked Probability Score
- The Continuous Ranked Probability Score (normal distribution)
* - 28
- CRPSS
- The Continuous Ranked Probability Skill Score
- The Continuous Ranked Probability Skill Score (normal distribution)
* - 29
- IGN
- The Ignorance Score
Expand All @@ -615,6 +615,18 @@ The format of the STAT and ASCII output of the Ensemble-Stat tool are described
* - 36
- SPREAD_PLUS_OERR
- The square root of the sum of unperturbed ensemble variance and the observation error variance
* - 37
- CRPSCL
- Climatological Continuous Ranked Probability Score (normal distribution)
* - 38
- CRPS_EMP
- The Continuous Ranked Probability Score (empirical distribution)
* - 39
- CRPSCL_EMP
- Climatological Continuous Ranked Probability Score (empirical distribution)
* - 40
- CRPSS_EMP
- The Continuous Ranked Probability Skill Score (empirical distribution)

.. _table_ES_header_info_es_out_RPS:

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2 changes: 1 addition & 1 deletion met/docs/Users_Guide/point-stat.rst
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Expand Up @@ -170,7 +170,7 @@ When the "prob" entry is set as a dictionary to define the field of interest, se
Measures for comparison against climatology
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

For each of the types of statistics mentioned above (categorical, continuous, and probabilistic), it is possible to calculate measures of skill relative to climatology. MET will accept a climatology file provided by the user, and will evaluate it as a reference forecast. Further, anomalies, i.e. departures from average conditions, can be calculated. As with all other statistics, the available measures will depend on the nature of the forecast. Common statistics that use a climatological reference include: the mean squared error skill score (MSESS), the Anomaly Correlation (ANOM_CORR and ANOM_CORR_UNCNTR), scalar and vector anomalies (SAL1L2 and VAL1L2), continuous ranked probability skill score (CRPSS), Brier Skill Score (BSS) (:ref:`Wilks, 2011 <Wilks-2011>`; :ref:`Mason, 2004 <Mason-2004>`).
For each of the types of statistics mentioned above (categorical, continuous, and probabilistic), it is possible to calculate measures of skill relative to climatology. MET will accept a climatology file provided by the user, and will evaluate it as a reference forecast. Further, anomalies, i.e. departures from average conditions, can be calculated. As with all other statistics, the available measures will depend on the nature of the forecast. Common statistics that use a climatological reference include: the mean squared error skill score (MSESS), the Anomaly Correlation (ANOM_CORR and ANOM_CORR_UNCNTR), scalar and vector anomalies (SAL1L2 and VAL1L2), continuous ranked probability skill score (CRPSS and CRPSS_EMP), Brier Skill Score (BSS) (:ref:`Wilks, 2011 <Wilks-2011>`; :ref:`Mason, 2004 <Mason-2004>`).

Often, the sample climatology is used as a reference by a skill score. The sample climatology is the average over all included observations and may be transparent to the user. This is the case in most categorical skill scores. The sample climatology will probably prove more difficult to improve upon than a long term climatology, since it will be from the same locations and time periods as the forecasts. This may mask legitimate forecast skill. However, a more general climatology, perhaps covering many years, is often easier to improve upon and is less likely to mask real forecast skill.

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6 changes: 6 additions & 0 deletions met/docs/Users_Guide/refs.rst
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Expand Up @@ -132,6 +132,12 @@ References
| forecasts. *Monthly Weather Review*, 129, 550-560.
|
.. _Hersbach-2000:

| Hersbach, H., 2000: Decomposition of the Continuous Ranked Probability Score
| for Ensemble Prediction Systems. *Weather and Forecasting*, 15, 559-570.
|
.. _Jolliffe-2012:

| Jolliffe, I.T., and D.B. Stephenson, 2012: *Forecast verification. A*
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22 changes: 13 additions & 9 deletions met/docs/Users_Guide/release-notes.rst
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Expand Up @@ -29,22 +29,26 @@ Version `10.0.0-beta3 <https://github.com/dtcenter/MET/projects/25>`_ release no

* When reading MET NetCDF files, parse the "init_time" and "valid_time" attributes (`#1346 <http://github.com/dtcenter/MET/issues/1346>`_).
* Python embedding enhancements:
* Complete support for Python XArray embedding (`#1534 <http://github.com/dtcenter/MET/issues/1534>`_).
* Correct error messages from Python embedding (`#1473 <http://github.com/dtcenter/MET/issues/1473>`_).

* Complete support for Python XArray embedding (`#1534 <http://github.com/dtcenter/MET/issues/1534>`_).
* Correct error messages from Python embedding (`#1473 <http://github.com/dtcenter/MET/issues/1473>`_).

* Application code:

* Enhance Plot-Point-Obs to support regridding in the config file (`#1627 <http://github.com/dtcenter/MET/issues/1627>`_).
* Update ASCII2NC and Point2Grid to create empty output files for zero input observations instead of erroring out (`#1630 <http://github.com/dtcenter/MET/issues/1630>`_).
* Point2Grid Tool:
* Improve the Point2Grid runtime performance (`#1421 <http://github.com/dtcenter/MET/issues/1421>`_).
* Process point observations by variable name instead of GRIB code (`#1408 <http://github.com/dtcenter/MET/issues/1408>`_).
* Support the 2-dimensional time variable in Himawari data files (`#1580 <http://github.com/dtcenter/MET/issues/1580>`_).

* Improve the Point2Grid runtime performance (`#1421 <http://github.com/dtcenter/MET/issues/1421>`_).
* Process point observations by variable name instead of GRIB code (`#1408 <http://github.com/dtcenter/MET/issues/1408>`_).
* Support the 2-dimensional time variable in Himawari data files (`#1580 <http://github.com/dtcenter/MET/issues/1580>`_).

* TC-Gen Tool:
* Overhaul the Tropical Cyclone genesis matching logic, add the development and operational scoring algorithms, and add many config file options (`#1448 <http://github.com/dtcenter/MET/issues/1448>`_).
* Add config file options to filter data by initialization time (init_inc and init_exc) and hurricane basin (basin_mask) (`#1626 <http://github.com/dtcenter/MET/issues/1626>`_).
* Add the genesis matched pair (GENMPR) output line type (`#1597 <http://github.com/dtcenter/MET/issues/1597>`_).
* Add a gridded NetCDF output file with counts for genesis events and track points (`#1430 <http://github.com/dtcenter/MET/issues/1430>`_).

* Overhaul the Tropical Cyclone genesis matching logic, add the development and operational scoring algorithms, and add many config file options (`#1448 <http://github.com/dtcenter/MET/issues/1448>`_).
* Add config file options to filter data by initialization time (init_inc and init_exc) and hurricane basin (basin_mask) (`#1626 <http://github.com/dtcenter/MET/issues/1626>`_).
* Add the genesis matched pair (GENMPR) output line type (`#1597 <http://github.com/dtcenter/MET/issues/1597>`_).
* Add a gridded NetCDF output file with counts for genesis events and track points (`#1430 <http://github.com/dtcenter/MET/issues/1430>`_).

Version `10.0.0-beta2 <https://github.com/dtcenter/MET/projects/24>`_ release notes (20201207)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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