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<!DOCTYPE html>
<html>
<!--
This file `hrrr_FAQ.html` and `index.html` are identical (linked) so that
whatever CHPC did, the URL http://hrrr.chpc.utah.edu directs to this page.
-->
<head>
<title>HRRR Archive FAQ</title>
<script src="./js/site/siteopen.js"></script>
<!--
The following script makes the HRRR archive findable by Google's dataset search
https://toolbox.google.com/datasetsearch/search?query=HRRR&docid=Klwq8fZSQuBEtzuGAAAAAA%3D%3D
-->
<script type="application/ld+json">
{
"@context":"http://schema.org/",
"@type":"Dataset",
"name":"High Resolution Rapid Refresh Model",
"description":"The High Resolution Rapid Refresh Model archive at the University of Utah",
"url":"http://hrrr.chpc.utah.edu/",
"creator":{
"@type":"Organization",
"url": "http://www.emc.ncep.noaa.gov/",
"name":"NOAA/NCEP/EMC > Environmental Modeling Center, National Centers For Environmental Prediction, NOAA, U.S. Department of Commerce",
"contactPoint": {
"@type": "ContactPoint",
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"url": "https://home.chpc.utah.edu/~u0553130/Brian_Blaylock/home.html",
"contactType": "Customer Service"
}
},
"distribution":[
{
"@type":"DataDownload",
"encodingFormat":"GRIB2",
"contentUrl":"https://home.chpc.utah.edu/~u0553130/Brian_Blaylock/hrrr_script_tips.html"
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],
"temporalCoverage":"2016-07-15/Present",
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<body>
<a name="TOP"></a>
<script src="./js/site/sitemenu.js"></script>
<br>
<div id="content" itemscope itemtype="http://schema.org/Dataset">
<h1 align="center">HRRR Archive at the University of Utah</h1>
<br>
<div class="alert alert-warning">
<p style='font-size:15px'>Thank you for visiting this resource. With the expanded availability of archived HRRR grib2-formatted data now courtesy of <a href="https://registry.opendata.aws/noaa-hrrr-pds/" target="_blank">NOAA and the Registry of Open Data on AWS</a>, this archive hosted at the University of Utah is now being reduced. Users interested in the grib2 format are encouraged to switch to using the AWS archive, or a similar archive operated within the <a href="https://console.cloud.google.com/marketplace/product/noaa-public/hrrr?project=python-232920&pli=1" target="_blank">Google Cloud</a>.<br><br>For users interested in subsets of HRRR data, our research group is now supporting a parallel archive in <a href="https://mesowest.utah.edu/html/hrrr/" target="_blank">Zarr format</a>. This new Zarr archive is also hosted by the <a href="https://hrrrzarr.s3.amazonaws.com/index.html" target="_blank">Registry of Open Data on AWS</a>.
</div>
<br>
<h2 align="center"><i class="fa fa-info-circle fa-fw"></i>Frequently Asked Questions</h2>
<script src='./js/pando_status.js'></script>
<script src='./js/HRRR_status.js'></script>
<div class="row" id="content">
<div class="col-md-3">
<a href="https://home.chpc.utah.edu/~u0553130/Brian_Blaylock/hrrr_FAQ.html"
class="btn btn-success btn-block active">
<i class="fa fa-info-circle"></i> HRRR FAQ</a>
</div>
<div class="col-md-3">
<a href="https://home.chpc.utah.edu/~u0553130/Brian_Blaylock/hrrr_practices.html"
class="btn btn-warning btn-block">
<i class="far fa-handshake"></i> Best Practices</a>
</div>
<div class="col-md-3">
<a href="https://home.chpc.utah.edu/~u0553130/Brian_Blaylock/cgi-bin/hrrr_download.cgi"
class="btn btn-primary btn-block">
<i class="fa fa-cloud-download-alt"></i>Pando Web Download Page</a>
</div>
<div class=" col-md-3">
<a href="https://registry.opendata.aws/noaa-hrrr-pds/"
class="btn btn-danger btn-block" target="_blank">
<i class="fa fa-cloud-download-alt"></i> AWS HRRR Archive</a>
</div>
</div>
<br>
<!-- Tabs -->
<ul class="nav nav-tabs">
<li class="active"><a data-toggle="tab" href="#tab1"><i class="fa fa-globe"></i> About the HRRR archive</a>
</li>
<li><a data-toggle="tab" href="#tab2"><i class="fa fa-user"></i> Archive Project History</a></li>
<li><a data-toggle="tab" href="#tab3"><i class="fa fa-database"></i> Where is the archive?</a></li>
<li><a data-toggle="tab" href="#tab4"><i class="fa fa-paint-brush"></i> Gallery</a></li>
</ul>
<div class="tab-content">
<div id="tab1" class="tab-pane fade in active">
<!--<img align=right width="450px" style="padding:5px 15px 5px 5px" src="https://rapidrefresh.noaa.gov/hrrr/hrrrcrefimage">-->
<iframe align=right width="430" height="300" src="https://www.youtube.com/embed/R8d10nMWY1I?rel=0"
frameborder="0" allow="autoplay; encrypted-media" allowfullscreen></iframe>
<h2><i class="fa fa-globe"></i> About the HRRR archive</h2>
<h3>What is this HRRR archive?</h3>
<p>This HRRR archive is a collection of output from NCEP's High Resolution Rapid Refresh model. This
is a model developed by <a href="https://rapidrefresh.noaa.gov/hrrr/" target='_blank'>NOAA ESRL</a>
and is run operationally every hour at NCEP's Environmental Modeling Center.
<p>The operational HRRR generates hourly forecasts gridded at 3 km
for 18 hours over the contiguous United States making it the
highest spatial and temporal resolution forecast system run by NCEP.
<p><a class="btn btn-info"
href="https://home.chpc.utah.edu/~u0553130/Brian_Blaylock/HRRR_archive/hrrr_sfc_table_f00-f01.html">
HRRR Variable Details
</a>
<a class="btn btn-info" href="https://rapidrefresh.noaa.gov/RAP_var_diagnosis.html">
RAP/HRRR Diagnostic Details
</a>
<p>HRRR analyses and forecasts are exceptionally valuable to the research community. For our research efforts, we maintained an archive of grib2-formatted HRRR files, which we also made accessible through this resource. With NOAA now having accessible archives of HRRR as well, our research group has now migrated to developing and supporting an archive of HRRR model data in Zarr format for research and other initiatives. This archive is supported by the Registry of Open Data on AWS, and more information on this new Zarr-formatted HRRR archive can be now be found via <a href="https://mesowest.utah.edu/html/hrrr/zarr_documentation/" target="_blank">this resource here</a>.
<br><br>
We expect to maintain some of this original grib2 archive for a period of time, but we do encourage users who are interested in the grib2 format to migrate to the cloud resources now supported by NOAA.</p>
<hr>
<h3>What files are contained in the remaining HRRR archive at the University of Utah?</h3>
<p>Output files, in GRIB2 format, contained in the archive include:
<div class="panel-group" id="accordion" style="max-width:700px; margin:auto">
<div class="panel panel-default">
<div class="panel-heading">
<h4 class="panel-title">
<a data-toggle="collapse" data-parent="#accordion" href="#collapse1"><i
class="fa fa-fw fa-globe"></i> Operational HRRR</a>
</h4>
</div>
<div id="collapse1" class="panel-collapse collapse">
<div class="panel-body">
<ul style="padding-left:40px">
<li><b>sfc</b>: Surface fields for analyses and forecasts
<ul style="padding-left:40px">
<li>File format: <span
style="font-family:monospace">hrrr.t[00-23]z.wrfsfcf[00-18].grib2</span>
<li>File size: ~120 MB
</ul>
<li><b>prs</b>: Pressure fields for analyses
<ul style="padding-left:40px">
<li>File format: <span
style="font-family:monospace">hrrr.t[00-23]z.wrfprsf00.grib2</span>
<li>File size: ~380 MB
</ul>
<li><strike><b>bufr</b>: Vertical profiles available for KSLC, KODG, and KPVU
<ul style="padding-left:40px">
<li>File format: <span
style="font-family:monospace">[KSLC,KODG,KPVU]_[YYYYMMDDHH].buf</span>
<li>File size: ~75 KB
</ul></strike>
</ul>
</div>
</div>
</div>
<div class="panel panel-default">
<div class="panel-heading">
<h4 class="panel-title">
<a data-toggle="collapse" data-parent="#accordion" href="#collapse2"><i
class="fa fa-fw fa-flask"></i> Experimental HRRR</a>
</h4>
</div>
<div id="collapse2" class="panel-collapse collapse">
<div class="panel-body">
<ul style="padding-left:40px">
<li><b>sfc</b>: Surface fields for analyses
<ul style="padding-left:40px">
<li>File format: <span
style="font-family:monospace">hrrr.t[00-23]z.wrfsfcf00.grib2</span>
<li>File size: ~120 MB
</ul>
</ul>
<p>Note: Not all hours are available for the experimental runs.
</div>
</div>
</div>
<div class="panel panel-default">
<div class="panel-heading">
<h4 class="panel-title">
<a data-toggle="collapse" data-parent="#accordion" href="#collapse3"><i
class="fa fa-fw fa-cogs"></i> HRRR - Alaska</a>
</h4>
</div>
<div id="collapse3" class="panel-collapse collapse">
<div class="panel-body">
<p>Became operational after July 12, 2018.
<ul style="padding-left:40px">
<li><b>sfc</b>: Surface fields for analyses and forecast hours
<ul style="padding-left:40px">
<li>File format: <span
style="font-family:monospace">hrrr.t[00,03,06,09,12,15,18,21]z.wrfsfcf[00-36].grib2</span>
<li>File size: ~100 MB
</ul>
<strike>
<li><b>prs</b>: Pressure fields for analyses
<ul style="padding-left:40px">
<li>File format: <span
style="font-family:monospace">hrrr.t[00,03,06,09,12,15,18,21]z.wrfprsf00.grib2</span>
<li>File size: ~205 MB
</ul>
</strike>
</ul>
<p>Note: Not all hours are available for the experimental runs.
</div>
</div>
</div>
</div>
<p>Note: Some days and hours in our archive may not be available. Either the forecast wasn't run that
hour (typical for the experimental models), or our download scripts failed to download everything.
<hr>
<h3>What are GRIB2 files?</h3>
<p><a href="https://en.wikipedia.org/wiki/GRIB">GRIB2</a>, or Gridded Binary Version 2, is a standard
file format used by meteorologists for model data sets. There are several useful tools for working
with the data.
<ul style="padding-left:50px">
<li><a href="http://www.cpc.noaa.gov/products/wesley/wgrib2/">wgrib2</a>: a command line utility
used to read GRIB2 files.
<li><a href="https://pypi.python.org/pypi/pygrib">pygrib</a>: a Python module used to read GRIB2
files.
<li><a href="https://pypi.org/project/cfgrib/">cfgrib</a>: a new Python module used to read GRIB2
files (version > 0.9.7 works with HRRR data). Works on Windows 😎
<li><a href="https://www.unidata.ucar.edu/software/idv/">IDV</a>: a desktop application that can
view many types of weather data.
<li><a href="https://www.ncdc.noaa.gov/wct/">NOAA Toolkit</a>: graphical software that can read and
visualize GRIB2 files. <span style='color:red'>I highly recommend this tool if you haven't used
GRIB2 files before</span>.
</ul>
<hr>
<h3>Where do the HRRR output files come from?</h3>
<p>The operational HRRR (hrrr) and HRRR Alaska (hrrrak) is downloaded via HTTP from the <a
href="http://nomads.ncep.noaa.gov/">NOMADS server</a>.
<p>Experimental HRRR (hrrrX) is downloaded via FTP from NOAA ESRL (credentials required).
<hr>
<h3>HRRR Version Information</h3>
<p><b>HRRRv1</b> was the operational model prior to August 23, 2016.
<p><b>HRRRv2</b> was implemented at NCEP on August 23, 2016 beginning
with the 12z run. We download the operational version from <a
href="http://nomads.ncep.noaa.gov/pub/data/nccf/com/hrrr/prod/">NOMADS</a>.
For more details on the HRRRv2 implementation, read the <a
href="http://www.nws.noaa.gov/om/notification/tin16-26rap_hrrrraaa.htm">announcement</a>
<p><b>HRRRv3</b> was implemented at NCEP on July 12, 2018 beginning with the 12z run.
Version 3 extends the forecast period for the 00, 06, 12, and 18 run out to 36 hours, but we have
decided not to archive the f19-f36 files. Improvements in version 3 include updated Thompson
microphysics, improved MYNN PBL scheme, updated land surface model with 15 second MODIS data,
refined roughness lengths for certain land use types, and additional improvements in assimilation
methods including lightning, radar radial velocity, and TAMDAR.
<p><b>HRRRv4</b> was implemented at NCEP on Dec 2, 2020 beginning with the 12z run.
This version makes more use of ensemble
modeling methods and many improvements to model physics.
Check out the <a href="https://rapidrefresh.noaa.gov/hrrr/">Official HRRR Webpage</a>
for more information. Key upgrades include:
<ul>
<li>Forecasts for the 00/06/12/18z are made out to 48 hours</li>
<li>MYNN PBL update for better sub-grid clouds</li>
<li>Aerosols sources/sinks</li>
<li>Improved Land surface</li>
<li>Assimilate GOES-16 Radiances and Motion Vectors and VIIRS/MODIS fire radiative power</li>
<li>Ensemble 3km data assimilation</li>
<li>Addition of smoke forecast variables (more information on these are available via <a href="https://rapidrefresh.noaa.gov/hrrr/HRRRsmoke/HRRR_Smoke_IMET_Fire_QuickGuide_Aug14.pdf" target="_blank">this guide</a>)</li>
</ul>
</div>
<div id="tab2" class="tab-pane fade">
<h3><i class="fa fa-user"></i> HRRR Archive Project History</h3>
<p>This HRRR archive at the University of Utah was managed by Brian Blaylock and the
<a href="http://meso1.chpc.utah.edu/mesowest_overview/" target="_blank">MesoWest group</a>
on resources at Utah's <a href="https://www.chpc.utah.edu/" target="_blank">Center for High
Performance Computing</a>.
<div align="center">
<a href="https://www.atmos.utah.edu/"><img align="center" src="./images/UU_logo.png"></a>
<a href="https://mesowest.org/"><img align="center" src="./images/MesoWest/MesoWest_20th_black.png"
style="padding-left:15px"></a>
<a href="https://www.chpc.utah.edu/"><img align="center" src="./images/chpc_logo3.jpg"
style="height:110px;padding-left:15px"></a>
<a href="https://hive.utah.edu/"><img align="center" src="./images/hive.png"
style="height:100px;padding-left:15px"></a>
</div>
<hr>
<h3>Why did we archive the HRRR?</h3>
<img align=right class='style11' width=400 style="margin-left:20px" src="./images/June2017_NCAR.PNG">
<p>When this project began, there was no official HRRR
archive that was publicly and easily available, to our knowledge.
<p>This HRRR archive had been created to support various research
endeavors in the
Department of Atmospheric Sciences at the University of Utah.
Things we do include:
<ol style="padding-left: 60;">
<li>Initialize the Weather Research and Forecast (WRF) model with HRRR analyses as initial
and boundary conditions. <a
href="https://home.chpc.utah.edu/~u0553130/Brian_Blaylock/hrrr.html">More info here</a>.
<li>Model verification, where HRRR analyses and forecasts are compared to observed conditions.
<li>Retrospective analysis of high-impact weather events.
<li>Basic statistics of variables (max, min, mean, percentiles).
<li>Potential work with machine learning applications.
</ol>
</div>
<div id="tab3" class="tab-pane fade">
<img src="./images/HRRR_pando.jpg" align="right" width="250px" class="style11" style="margin-left:20px">
<h3><i class="fa fa-database"></i> Where is the remaining HRRR archive at the University of Utah?</h3>
<p>The remaining archive is physically located at the University of Utah
Downtown Data Center in Salt Lake City, Utah. It is hosted on
Utah's Center for High Performance Computing Pando archive storage
system.
<p>This object storage system is similar to Amazon's S3 storage
<a class="btn btn-danger" href="https://home.chpc.utah.edu/~u0553130/Brian_Blaylock/Pando_archive/">
Pando Archive Usage
</a>
<hr>
<h3>
<i class="fa fa-server"></i> What is the Pando archive?</h3>
<p><b>Pando</b> is a colony of quaking aspen trees in southern Utah,
thought to be the oldest and largest living organism in the world,
linked together by the same root system.
According to <a href="https://en.wikipedia.org/wiki/Pando_%28tree%29">Wikipedia</a>,
Pando is Latin for "I spread".
The name is fitting for the CHPC object storage system
because of its resilience and scalability, like
the tree system.
<p>The underlying software running Pando is
<a href="http://ceph.com/">Ceph</a>, a project supported by RedHat.
While Ceph can be configured in a few ways, in this archive Ceph
manages the data objects with the Amazon S3 API. It is a separate
"island" from the rest of CHPC file system so that output from
other programs cannot write directly to it. Instead, files are
copied to Pando through utilities like rclone or s3cmd.
<p>Pando is built in three parts. All of these can be scaled to
meet needs of the growing archive.
<ul style="padding-left:50px">
<li>9 OSD Servers (16 8TB drives, each) - These contain the data objects.
<li>3 Monitors - Monitors keep a map of the data objects. When a request for data is made, these
monitors are contacted for the object map and return the object's ID.
<li>1 RADOS Gateway node - You, as the client, make requests through this gateway for data
downloads.
</ul>
<center><small><img src="./images/PANDO_Diagram.png" width="550px"><br>Adapted from Sam Liston</small>
</center>
<br>
</div>
<div id="tab4" class="tab-pane fade">
<h3><i class="fa fa-paint-brush"></i> Gallery</h3>
<h3>Herbie</h3>
<p><a href='https://github.com/blaylockbk/Herbie'>Herbie</a> is a python package to download GRIB2 model data from NOAA Big Data Program partners, like downloading HRRR data from AWS, GCP, or Pando.
<p style='text-align:center'>
<a href="https://github.com/blaylockbk/Herbie">
<img src="https://raw.githubusercontent.com/blaylockbk/Herbie/master/docs/_static/HerbieLogo2_tan_transparent.png" width=50%>
</a>
<h3>Online Tools</h3>
<center>
<div class="row" id="content">
<div class=" col-md-1">
</div>
<div class=" col-md-2">
<a class='btn btn-danger' role='button'
href="https://home.chpc.utah.edu/~u0553130/Brian_Blaylock/hrrr_golf.html"
style="width:100%"> <i class="fa fa-map-marker"></i> Point Forecast</a>
</div>
<div class="col-md-2">
<a class='btn btn-danger' role='button'
href="https://home.chpc.utah.edu/~u0553130/Brian_Blaylock/hrrr_fires.html"
style="width:100%"><i class="fas fa-fire-extinguisher"></i> Fires Forecast</a>
</div>
<div class="col-md-2">
<a class='btn btn-danger' role='button'
href="https://home.chpc.utah.edu/~u0553130/Brian_Blaylock/hrrr_custom.html"
style="width:100%"> <i class="far fa-map"></i> Custom Maps</a>
</div>
<div class="col-md-2">
<a class='btn btn-danger' role='button'
href="https://home.chpc.utah.edu/~u0553130/Brian_Blaylock/cgi-bin/hrrrX-hrrr.cgi"
style="width:100%"> <i class="fa fa-map"></i> Compare Maps</a>
</div>
</div>
</center>
<hr>
<img src='./images/OSG_logo.jpg' width='250px' align=RIGHT>
<h3>HRRR Statistics with Open Science Grid</h3>
<p>I'm using the Open Science Grid to calculate long term statistics,
calculated for +/- 15 days for every hour of the day for all
the HRRR files in our archive.
I calculate the following percentiles [0,1,2,3,4,5,10,25,33,50,66,75,90,95,96,97,98,99,100].
<p><a href="https://github.com/blaylockbk/pyBKB_v2/tree/master/OpenScienceGrid">Tell me more!</a>
<div class='row'>
<div class='col-md-6'>
<p style="text-align:center;">
<img src="./images/HRRR_gallery/HRRR_wind_95percentile.png" width="95%" class='style11'>
<figcaption style="text-align:center;"></figcaption>
</div>
<div class='col-md-6'>
<p style="text-align:center;">
<img src="./images/HRRR_gallery/HRRR_freezing_percentiles.png" width="95%" class='style11'>
<figcaption style="text-align:center;"></figcaption>
</div>
</div>
<p>The HRRR analyses mean winds are comparable with the results of
<a href="http://www.sciencedirect.com/science/article/pii/S0960148116309363" target="_blank">
James et al. 2017</a>.
<hr>
<h3>Plot HRRR Data with Python</h3>
<p>A handy-dandy <a
href="https://github.com/blaylockbk/pyBKB_v2/blob/master/demos/plot_HRRR_variables_on_map.ipynb">Jupyter
Notebook</a>
for making various maps.
<p>Also, a <a
href="https://github.com/blaylockbk/pyBKB_v2/blob/master/BB_goes16/mapping_GOES16_data.ipynb">
notebook</a> on overlaying GOES-16 images with HRRR data.
<blockquote class="twitter-tweet" data-lang="en">
<p lang="en" dir="ltr">Overlaying HRRR and <a
href="https://twitter.com/hashtag/GOES16?src=hash&ref_src=twsrc%5Etfw">#GOES16</a> data
in Python <a href="https://t.co/wYY4TaxWpQ">pic.twitter.com/wYY4TaxWpQ</a></p>— Brian
Blaylock (@blaylockbk) <a
href="https://twitter.com/blaylockbk/status/911327100560273408?ref_src=twsrc%5Etfw">September
22, 2017</a>
</blockquote>
<script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
<hr>
<h3>Initialize WRF</h3>
<p>I use the HRRR analyses to initialize WRF's boundary and initial conditions.
Check out my instructions for initializing WRF with the HRRR here:
<a href="https://home.chpc.utah.edu/~u0553130/Brian_Blaylock/hrrr.html">
https://home.chpc.utah.edu/~u0553130/Brian_Blaylock/hrrr.html</a>
<hr>
<h3>2017 Solar Eclipse</h3>
<blockquote class="twitter-tweet" data-lang="en">
<p lang="en" dir="ltr">Solar radiation from <a
href="https://twitter.com/mesowestutah?ref_src=twsrc%5Etfw">@mesowestutah</a>, operational
HRRR, and experimental HRRR during <a
href="https://twitter.com/hashtag/Eclipse2017?src=hash&ref_src=twsrc%5Etfw">#Eclipse2017</a>
Thanks, <a href="https://twitter.com/NOAA_ESRL?ref_src=twsrc%5Etfw">@NOAA_ESRL</a> <a
href="https://t.co/hHoBNWVW2m">pic.twitter.com/hHoBNWVW2m</a></p>— Brian Blaylock
(@blaylockbk) <a
href="https://twitter.com/blaylockbk/status/900034286916485120?ref_src=twsrc%5Etfw">August 22,
2017</a>
</blockquote>
<script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
<hr>
<h3>Model Verification</h3>
<p><b>2-day Time Series</b>: Time series graphs of observed values for select
MesoWest stations and HRRR values for f00, f06, f12, and f18
for the last two days.
Check out the <a href="https://home.chpc.utah.edu/~u0553130/Brian_Blaylock/hrrr_golf.html">
HRRR Point Forecasts</a> page, and select the clock next to a
station to view verification of the HRRR model for the last two
days.
<center>
<div><img src='https://home.chpc.utah.edu/~u0553130/oper/HRRR_anlys/KSLC/h20.png' width="450px">
</div>
</center>
<br>
<p><b>"Hovmoller" Diagram:</b> Imagine a Hovmoller diagram with
forecast hour on the y-axis and valid time on the x-axis.
These are created for a variable over each HRRR
forecast hour and compare with the observed value.
On the <a href="https://home.chpc.utah.edu/~u0553130/Brian_Blaylock/hrrr_golf.html">
HRRR Point Forecasts</a> page, select the clock next to a
station and click "Hovmoller".
<a href="https://github.com/blaylockbk/pyPlots_v2/blob/master/HRRR/HRRR_hovomoller.py"><i
class="fa fa-github"></i> GitHub Code</a>
<center>
<div><img src='https://home.chpc.utah.edu/~u0553130/oper/HRRR_hovmoller/KSLC/KSLC_air_temp.png'
width="450px">
<img src='https://home.chpc.utah.edu/~u0553130/oper/HRRR_hovmoller/KSLC/KSLC_wind_speed.png'
width="450px">
</div>
</center>
<hr>
<hr>
<p>Quantify inversion strength during the Utah Fine Particulate Air Quality Study, January 2017.</p>
<iframe width="560" height="315" src="https://www.youtube.com/embed/jup9D_xbG1o?rel=0" frameborder="0"
allowfullscreen></iframe>
<hr>
<p>New England Snow Storm, March 13-14 2017</p>
<iframe width="560" height="315" src="https://www.youtube.com/embed/73vZOPvtQDc?rel=0" frameborder="0"
allowfullscreen></iframe>
<hr>
<p>Great Salt Lake surface temperature (before HRRR assimilation was fixed)</p>
<iframe width="560" height="315" src="https://www.youtube.com/embed/PC72-dsTrS4?rel=0" frameborder="0"
allowfullscreen></iframe>
<hr>
<h3>Other People</h3>
<p> Matt Lammers from NASA combined HRRR 925 mb winds with
GMI and IMERG precipitation data for visualization of Hurricanes.
<ul style="padding-left:50px">
<li><a href="https://storm.pps.eosdis.nasa.gov/storm/cesium/Spiral.html">Harvey</a>
<li><a href="https://storm.pps.eosdis.nasa.gov/storm/cesium/SpiralLongMatthew.html">Matthew</a>
</ul>
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