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Premium member Presentation Transcript 12 km MM5 Modeling Issues: 12 km MM5 Modeling Issues Susan Kemball-Cook, Yiqin Jia, Chris Emery and Ralph Morris, ENVIRON Corporation Int., Novato, CA Zion Wang and Gail Tonnesen University of California, Riverside WRAP Modeling Forum Meeting, San Francisco, CA March 8-9, 2005New WRAP 12 km Run Configuration: New WRAP 12 km Run Configuration 12 km configuration identical to 36 km grid, except for cumulus scheme where the Betts-Miller scheme was used with the 36 km configurationSlide3: All 12 km subdomains within benchmark WRAP January Wind 12km vs. 36kmSlide4: All 12 km subdomains within benchmark WRAP March Wind 12km vs. 36kmSlide5: WRAP July Wind 12km vs. 36kmSlide6: WRAP October Wind 12km vs. 36kmSlide7: WRAP December Wind 12km vs. 36kmSlide8: WRAP January Temp 12km vs. 36kmSlide9: WRAP March Temp 12km vs. 36km Cold bias, slight improvement with 12km gridSlide10: WRAP July Temp 12km vs. 36kmSlide11: WRAP October Temp 12km vs. 36kmSlide12: WRAP December Temp 12km vs. 36kmSlide13: WRAP Jan Humidity 12km vs. 36kmSlide14: WRAP March Humidity 12km vs. 36kmSlide15: WRAP July Humidity 12km vs. 36kmSlide16: WRAP Oct Humidity 12km vs. 36kmSlide17: WRAP Dec Humidity 12km vs. 36kmConclusions: 12 km vs. 36 km MM5 Performance for Surface Met: Conclusions: 12 km vs. 36 km MM5 Performance for Surface Met Improvement in surface wind performance Improvement in temperature performance, reduces, but does not eliminate, winter cold bias Generally, slight improvement in humidity (reduces wet bias in SW)Slide19: January Precipitation Precipitation predicted with good skill overall Overprediction in North subdomain Rainfall too intense in parts of pacNW subdomain Little difference between 12km an 36km 12km 36kmSlide20: March Precipitation Good agreement with observations for both MM5 12 km and 36 km simulations 12km 36kmSlide21: July Precipitation Widespread over prediction of rainfall—no cumulus parameterization in 12km MM5 precipitation field more granular than observations Maxima are too intense, although general pattern ok in southwestern US 12km better performance than 36km 12km 36km 12km 36kmSlide22: October Precipitation Good agreement for both MM5 simulations with observations 12km 36kmSlide23: December Precipitation Fairly good agreement with observations MM5 too intense in lower Sierra Nevada and Vancouver area 12km 36kmSummary of 36/12 km Results: Summary of 36/12 km Results The new 36 km and 12 km runs show improvement in the modeled precipitation fields, particularly in the summer in the southwest and in winter in the Pacific Northwest. Reduction in the overprediction of summer convective rainfall in both 36 and 12 km runs. Wet biases in the surface humidity and cold biases in the surface temperature reduced in the North and DesertSW subdomains in the summer months. New WRAP run was optimized for summer performance over the WRAP region, but winter performance in the west did not deteriorate significantly. Summary of 36 /12 km Results: Summary of 36 /12 km Results Surface wind performance improved throughout the year due to observational nudging of surface winds. Showed improved temperature performance in summer in the west, and slightly worse performance in winter in western U.S. Small overall degradation in performance in the east. Some of this was the result of eliminating surface analysis nudging of temperature and moisture that was done in WRAP_0. Also due to change from Kain-Fritsch to Betts-Miller CUP. Summary of 12 km Results: Summary of 12 km Results 12 km run is within or near performance benchmarks for surface wind and humidity over the annual cycle of 2002. Surface temperature generally falls outside the bias benchmark. It is possible that this is due to terrain resolution effects – improved temperature performance is seen going from 36 km to 12 km grid. The new 12 km WRAP run has been significantly improved in terms of its surface performance relative to the WRAP_0 12 km run. Improvement in summer rainfall and surface humidity performance in the WRAP region reduces biases of original 12 km run. Conclusions: 12km vs. 36km MM5: Conclusions: 12km vs. 36km MM5 Better surface meteorology and precipitation model performance in western US using a 12 km grid Whether this results in better air quality model performance remains to be seen 12 km MM5 runs are available, so decision on need for 12 km modeling should be based on emissions and air quality modeling issues You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.
12km MM5 Issues Mar8 9 2005 Nivedi Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINTLite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 51 Category: Entertainment License: All Rights Reserved Like it (0) Dislike it (0) Added: October 29, 2007 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript 12 km MM5 Modeling Issues: 12 km MM5 Modeling Issues Susan Kemball-Cook, Yiqin Jia, Chris Emery and Ralph Morris, ENVIRON Corporation Int., Novato, CA Zion Wang and Gail Tonnesen University of California, Riverside WRAP Modeling Forum Meeting, San Francisco, CA March 8-9, 2005New WRAP 12 km Run Configuration: New WRAP 12 km Run Configuration 12 km configuration identical to 36 km grid, except for cumulus scheme where the Betts-Miller scheme was used with the 36 km configurationSlide3: All 12 km subdomains within benchmark WRAP January Wind 12km vs. 36kmSlide4: All 12 km subdomains within benchmark WRAP March Wind 12km vs. 36kmSlide5: WRAP July Wind 12km vs. 36kmSlide6: WRAP October Wind 12km vs. 36kmSlide7: WRAP December Wind 12km vs. 36kmSlide8: WRAP January Temp 12km vs. 36kmSlide9: WRAP March Temp 12km vs. 36km Cold bias, slight improvement with 12km gridSlide10: WRAP July Temp 12km vs. 36kmSlide11: WRAP October Temp 12km vs. 36kmSlide12: WRAP December Temp 12km vs. 36kmSlide13: WRAP Jan Humidity 12km vs. 36kmSlide14: WRAP March Humidity 12km vs. 36kmSlide15: WRAP July Humidity 12km vs. 36kmSlide16: WRAP Oct Humidity 12km vs. 36kmSlide17: WRAP Dec Humidity 12km vs. 36kmConclusions: 12 km vs. 36 km MM5 Performance for Surface Met: Conclusions: 12 km vs. 36 km MM5 Performance for Surface Met Improvement in surface wind performance Improvement in temperature performance, reduces, but does not eliminate, winter cold bias Generally, slight improvement in humidity (reduces wet bias in SW)Slide19: January Precipitation Precipitation predicted with good skill overall Overprediction in North subdomain Rainfall too intense in parts of pacNW subdomain Little difference between 12km an 36km 12km 36kmSlide20: March Precipitation Good agreement with observations for both MM5 12 km and 36 km simulations 12km 36kmSlide21: July Precipitation Widespread over prediction of rainfall—no cumulus parameterization in 12km MM5 precipitation field more granular than observations Maxima are too intense, although general pattern ok in southwestern US 12km better performance than 36km 12km 36km 12km 36kmSlide22: October Precipitation Good agreement for both MM5 simulations with observations 12km 36kmSlide23: December Precipitation Fairly good agreement with observations MM5 too intense in lower Sierra Nevada and Vancouver area 12km 36kmSummary of 36/12 km Results: Summary of 36/12 km Results The new 36 km and 12 km runs show improvement in the modeled precipitation fields, particularly in the summer in the southwest and in winter in the Pacific Northwest. Reduction in the overprediction of summer convective rainfall in both 36 and 12 km runs. Wet biases in the surface humidity and cold biases in the surface temperature reduced in the North and DesertSW subdomains in the summer months. New WRAP run was optimized for summer performance over the WRAP region, but winter performance in the west did not deteriorate significantly. Summary of 36 /12 km Results: Summary of 36 /12 km Results Surface wind performance improved throughout the year due to observational nudging of surface winds. Showed improved temperature performance in summer in the west, and slightly worse performance in winter in western U.S. Small overall degradation in performance in the east. Some of this was the result of eliminating surface analysis nudging of temperature and moisture that was done in WRAP_0. Also due to change from Kain-Fritsch to Betts-Miller CUP. Summary of 12 km Results: Summary of 12 km Results 12 km run is within or near performance benchmarks for surface wind and humidity over the annual cycle of 2002. Surface temperature generally falls outside the bias benchmark. It is possible that this is due to terrain resolution effects – improved temperature performance is seen going from 36 km to 12 km grid. The new 12 km WRAP run has been significantly improved in terms of its surface performance relative to the WRAP_0 12 km run. Improvement in summer rainfall and surface humidity performance in the WRAP region reduces biases of original 12 km run. Conclusions: 12km vs. 36km MM5: Conclusions: 12km vs. 36km MM5 Better surface meteorology and precipitation model performance in western US using a 12 km grid Whether this results in better air quality model performance remains to be seen 12 km MM5 runs are available, so decision on need for 12 km modeling should be based on emissions and air quality modeling issues