[Skywarn] National Blend of Global Models

[Lloyd Colston]

The COMET Program is pleased to announce the publication of the new lesson,
"Additional Statistical Methods in the NWS National Blend of Global Models
<https://www.meted.ucar.edu/training_module.php?id=1299>” (
https://www.meted.ucar.edu/training_module.php?id=1299). Versions 2.0 and
3.0 of the National Blend of global Models (NBM) provide forecasts for
precipitation, relative humidity, cloud ceiling heights, surface
visibility, and ocean wind speed and direction. This lesson introduces
learners to the UnRestricted Mesoscale Analysis (URMA, the analysis of
record) used to calibrate the NBM’s bias and error estimates. Learners will
also explore the bias correction, weighting, and post-processing procedures
used to produce the new forecast elements. For those unfamiliar with the
NBM, we recommend the following prerequisites:
“Gridded Products in the NWS National Blend of Global Models
<https://www.meted.ucar.edu/training_module.php?id=1213>” (
https://www.meted.ucar.edu/training_module.php?id=1213)
"Statistical Methods in the NWS National Blend of Global Models
<https://www.meted.ucar.edu/training_module.php?id=1227>” (
https://www.meted.ucar.edu/training_module.php?id=1227)

The intended audience for "Additional Statistical Methods in the NWS
National Blend of Global Models" includes National Weather Service and
other operational weather forecasters, and those with general interest in
numerical weather prediction. Users of NWS forecast products across various
sectors--including emergency management and planning--might also be
interested in the calculations and procedures used to generate these
blended forecasts.

For best viewing of content on the MetEd website, please ensure that you
have a browser updated to its latest version, with JavaScript enabled. For
technical support, please visit our Registration and Support FAQs (
https://www.meted.ucar.edu/resources_faq.php).

We welcome any comments or questions you may have regarding the content,
instructional approach, or use of this lesson. Please e-mail your comments
or questions to Dr. Bill Bua (bua AT ucar.edu) or Vanessa Vincente
(vincente AT ucar.edu).

-- 


Lloyd Colston   director
Altus Emergency Management
Altus, OK      http://www.altusok.gov
Phone:  580.481.2260
Fax:  580.482.4738

Præparate Ante malum.


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