kabagg 2018-10-22 10:49:37

Good general overview. Know your acronyms going in.

mark.keehn 2018-08-06 12:47:03

This lesson was as interesting as watching pain dry. The information was important, but presented in a manner to be difficult for a non-modeler to understand.

jessicaneiles 2018-05-29 23:01:32

Great lesson, thank you.

2018-05-21 22:03:22

could use more visuals, flowcharts are okay, but that kind of info never sticks in my head long-term. course quiz was hard!

2018-04-27 21:20:38

understand the blend process

mike.koziara 2018-03-16 11:07:42

I would recommend some audio to reinforce important points. It is rather boring to read slides almost exclusively.

2017-03-19 09:25:10

No comments.

2017-02-10 11:31:23

None.

Slashman 2017-01-05 08:34:53

Prefer to have an instructor presenting and explaining the material. Information in this module was a bit more in depth than probably needed for the operational meteorologist.

stormy1one 2016-12-27 10:29:45

good information, although the wording of some of the quiz questions was a little confusing...mainly the T/F questions about the MOS.

ChrisBuonanno 2016-12-24 05:45:57

good overall review

essayr27 2016-10-05 19:15:35

Audio!

arichey 2016-09-30 10:56:38

A well thought out and put together lesson relevant to my everyday work duties.

After completing the lesson, you will be able to:

• List the five different products used in the Blend.
• Describe the model type, resolution, assimilation scheme, and number of daily cycles for each model used in the Blend.
• Explain how the model guidance is interpolated to the grid level using gridded MOS and EKDMOS.
• Explain the strengths and limitations of the MOS.

numerical weather prediction, models, blend, grids, ensemble, model output statistics, EKDMOS, GMOS, NWS.

Latest update 12/19/2016

Two new direct model output sources have been added for version 2 of the National Blend of Global Models (NBM): the North American Mesoscale Model and the North American Mesoscale Model Nests. These two sources provide additional data for Blend forecasts of various weather elements across different domains. Updated details of forecast frequency, resolution, data assimilation technique and other features for all direct model output sources are described. Future developments to improve the Blend and expand its suite of forecast elements are discussed at the end of the lesson.