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sci.geo.meteorology (Meteorology) (sci.geo.meteorology) For the discussion of meteorology and related topics. |
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#1
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Hello.
Can someone tell me the advantages/disadvantages of the following numerical weather models in terms of weather forecasting? ETA MRF MOS NOGAPS GEM Specifically, I would like to know what the strengths and weaknesses of these models are when using them to produce a weather forecast. If I am missing any models, feel free to add them. Thanks Ed |
#2
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: Can someone tell me the advantages/disadvantages of the following
numerical : weather models in terms of weather forecasting? See: http://www.hpc.ncep.noaa.gov/mdlbias/biastext.shtml Jan Null, CCM Certified Consulting Meteorologist Golden Gate Weather Services Phone: (510) 657-2246 Email: Webpage: http://ggweather.com "Climate is what you expect, Weather is what you get". ~ R. Heinlein |
#3
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Edgar D. wrote:
Hello. Can someone tell me the advantages/disadvantages of the following numerical weather models in terms of weather forecasting? ETA MRF MOS NOGAPS GEM Specifically, I would like to know what the strengths and weaknesses of these models are when using them to produce a weather forecast. If I am missing any models, feel free to add them. Thanks Ed There's no short answer. You name models that differ in a number of ways. I don't know what GEM is. Advantage of ETA is frequent runs and fine resolution. Disadvantage is North American coverage and only run out to 80 hr on operational displays The advantage of MRF, which is the operational reference to the 00 UTC run of the GFS, is global or hemispheric coverage out to long time periods (10 days) Disadvantage is coarser resolution. I have no experience with the Navy model, NOGAPS, since it is not available on NWS operational displays. I hear it does a nice job with wave heights. MOS is not a model. It stands for Model Output Statistics. MOS is forecast guidance produced from the NGM and GFS models. It is produced with multivariate linear regression of model output parameters and cranks out temp and precip forecasts. Works well in benign conditions. Works less well around weather systems. |
#4
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![]() "Dennis M. Rodgers" wrote in message ... There's no short answer. You name models that differ in a number of ways. I don't know what GEM is. .... Canadian model: if you have full Internet connection, you can see output via Environment Canada site:- http://weatheroffice.ec.gc.ca/charts/index_e.html Martin. |
#5
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In article ,
"Dennis M. Rodgers" wrote: Edgar D. wrote: Can someone tell me the advantages/disadvantages of the following numerical weather models in terms of weather forecasting? ETA MRF MOS NOGAPS GEM [snip] MOS is not a model. It stands for Model Output Statistics. MOS is forecast guidance produced from the NGM and GFS models. It is produced with multivariate linear regression of model output parameters and cranks out temp and precip forecasts. Works well in benign conditions. Works less well around weather systems. That's handy. Cheers, Phred. -- LID |
#6
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Dennis M. Rodgers wrote:
Edgar D. wrote: Hello. Can someone tell me the advantages/disadvantages of the following numerical weather models in terms of weather forecasting? ETA MRF MOS NOGAPS GEM Specifically, I would like to know what the strengths and weaknesses of these models are when using them to produce a weather forecast. If I am missing any models, feel free to add them. Thanks Ed [snip] MOS is not a model. It stands for Model Output Statistics. MOS is forecast guidance produced from the NGM and GFS models. It is produced with multivariate linear regression of model output parameters and cranks out temp and precip forecasts. Works well in benign conditions. Works less well around weather systems. MOS is also produced for the ETA model. MOS can be a powerful tool for cases that happen again and again. For rare events, however, that fall outside the realm of its statistical database, it can go significantly awry. In addition, I seem to recall it becomes progressively more heavily weighted towards climatology as you go out into the future. MOS works well in benign conditions only to the extent that benign conditions occurred frequently when the statistical model was constructed. Scott |
#7
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Scott Lindstrom wrote:
MOS is also produced for the ETA model. MOS can be a powerful tool for cases that happen again and again. For rare events, however, that fall outside the realm of its statistical database, it can go significantly awry. In addition, I seem to recall it becomes progressively more heavily weighted towards climatology as you go out into the future. MOS works well in benign conditions only to the extent that benign conditions occurred frequently when the statistical model was constructed. MOS statistics are continually updated for both the GFS and Eta models. NGM MOS is frozen. When Eta MOS first appeared a few years ago, it did a poor job. Now, it often does better then the GFS and NGM. -db- +-------------------------------------------------------------+ | David O. Blanchard Flagstaff, Arizona | +-------------------------------------------------------------+ |
#8
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Hi Ed,
Working day in day out with models exposes model strength and weakness. The ETA has done an awful job on development and timing of precipitation in the southern US over the past year, especially when southern branch energy is invoved. The ETA is too dry and too slow. It used to be a great model for just this type of weather but not any more. The ETA has been overdeveloping low pressure areas along the southeast coast over the past couple of years, while the GFS can be underdone in the same situation. AVN MOS seems to be the most reliable for high temps when clouds and rain are a good bet. These are some examples and there are many more that will creep up day in day out. Hope this helps www.accuweather.com "Edgar D." wrote in message news:o9Clb.149346$6C4.106098@pd7tw1no... Hello. Can someone tell me the advantages/disadvantages of the following numerical weather models in terms of weather forecasting? ETA MRF MOS NOGAPS GEM Specifically, I would like to know what the strengths and weaknesses of these models are when using them to produce a weather forecast. If I am missing any models, feel free to add them. Thanks Ed |
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