Per #1462, after changing from the NCAR to DTCenter organization, re-…

…push Sphix documentation generated from the master_v9.1 branch up to gh-pages.

Users_Guide/appendixF.html

@@ -319,7 +319,7 @@ <h2><span class="section-number">32.5. </span>Python Embedding for Point Observa
 <p>The <strong>read_ascii_point.py</strong> sample script can be found in:</p>
 <ul class="simple">
 <li><p>MET installation directory in <strong>MET_BASE/python</strong>.</p></li>
-<li><p>MET GitHub repository (<a class="reference external" href="https://github.com/NCAR/MET">https://github.com/NCAR/MET</a>) in <strong>met/scripts/python</strong>.</p></li>
+<li><p>MET GitHub repository (<a class="reference external" href="https://github.com/dtcenter/MET">https://github.com/dtcenter/MET</a>) in <strong>met/scripts/python</strong>.</p></li>
 </ul>
 </div>
 <div class="section" id="python-embedding-for-mpr-data">
@@ -328,7 +328,7 @@ <h2><span class="section-number">32.6. </span>Python Embedding for MPR data<a cl
 <p>The <strong>read_ascii_mpr.py</strong> sample script can be found in:</p>
 <ul class="simple">
 <li><p>MET installation directory in <strong>MET_BASE/python</strong>.</p></li>
-<li><p>MET GitHub repository (<a class="reference external" href="https://github.com/NCAR/MET">https://github.com/NCAR/MET</a>) in <strong>met/scripts/python</strong>.</p></li>
+<li><p>MET GitHub repository (<a class="reference external" href="https://github.com/dtcenter/MET">https://github.com/dtcenter/MET</a>) in <strong>met/scripts/python</strong>.</p></li>
 </ul>
 </div>
 </div>

Users_Guide/index.html

@@ -216,7 +216,7 @@ <h1>User’s Guide<a class="headerlink" href="#user-s-guide" title="Permalink to
 <p>The citation for this User’s Guide should be:</p>
 <p>Brown, B., Bullock, R., Fowler, T., Halley Gotway, J., Newman, K., Jensen, T., 2020: The MET Version 9.1 User’s Guide.
 Developmental Testbed Center.
-Available at: <a class="reference external" href="https://github.com/NCAR/MET/releases">https://github.com/NCAR/MET/releases</a></p>
+Available at: <a class="reference external" href="https://github.com/dtcenter/MET/releases">https://github.com/dtcenter/MET/releases</a></p>
 <p><strong>Acknowledgments</strong></p>
 <p>We thank the the National Science Foundation (NSF) along with three organizations within the National Oceanic and Atmospheric Administration (NOAA): 1) Office of Atmospheric Research (OAR); 2) Next Generation Global Prediction System project (NGGPS); and 3) United State Weather Research Program (USWRP), the United States Air Force (USAF), and the United States Department of Energy (DOE) for their support of this work. Funding for the development of MET-TC is from the NOAA’s Hurricane Forecast Improvement Project (HFIP) through the Developmental Testbed Center (DTC). Funding for the expansion of capability to address many methods pertinent to global and climate simulations was provided by NOAA’s Next Generation Global Prediction System (NGGPS) and NSF Earth System Model 2 (EaSM2) projects. We would like to thank James Franklin at the National Hurricane Center (NHC) for his insight into the original development of the existing NHC verification software. Thanks also go to the staff at the Developmental Testbed Center for their help, advice, and many types of support. We released METv1.0 in January 2008 and would not have made a decade of cutting-edge verification support without those who participated in the original MET planning workshops and the now dis-banded verification advisory group (Mike Baldwin, Matthew Sittel, Elizabeth Ebert, Geoff DiMego, Chris Davis, and Jason Knievel).</p>
 <p>The National Center for Atmospheric Research (NCAR) is sponsored by NSF. The DTC is sponsored by the National Oceanic and Atmospheric Administration (NOAA), the United States Air Force, and the National Science Foundation (NSF). NCAR is sponsored by the National Science Foundation (NSF).</p>

Users_Guide/masking.html

@@ -334,7 +334,7 @@ <h4><span class="section-number">6.1.1.2. </span>Optional arguments for gen_vx_m
 </div>
 <div class="section" id="feature-relative-methods">
 <h2><span class="section-number">6.2. </span>Feature-Relative Methods<a class="headerlink" href="#feature-relative-methods" title="Permalink to this headline">¶</a></h2>
-<p>This section contains a description of several methods that may be used to perform feature-relative (or event -based) evaluation. The methodology pertains to examining the environment surrounding a particular feature or event such as a tropical, extra-tropical cyclone, convective cell, snow-band, etc. Several approaches are available for these types of investigations including applying masking described above (e.g. circle or box) or using the “FORCE” interpolation method in the regrid configuration option (see <a class="reference internal" href="data_io.html#data-io-met-configuration-file-options"><span class="std std-numref">Section 3.5.1</span></a>). These methods generally require additional scripting, including potentially storm-track identification, outside of MET to be paired with the features of the MET tools. METplus may be used to execute this type of analysis.  Please refer to the <a class="reference external" href="https://ncar.github.io/METplus/">METplus User’s Guide</a>.</p>
+<p>This section contains a description of several methods that may be used to perform feature-relative (or event -based) evaluation. The methodology pertains to examining the environment surrounding a particular feature or event such as a tropical, extra-tropical cyclone, convective cell, snow-band, etc. Several approaches are available for these types of investigations including applying masking described above (e.g. circle or box) or using the “FORCE” interpolation method in the regrid configuration option (see <a class="reference internal" href="data_io.html#data-io-met-configuration-file-options"><span class="std std-numref">Section 3.5.1</span></a>). These methods generally require additional scripting, including potentially storm-track identification, outside of MET to be paired with the features of the MET tools. METplus may be used to execute this type of analysis.  Please refer to the <a class="reference external" href="https://dtcenter.github.io/METplus/">METplus User’s Guide</a>.</p>
 </div>
 </div>