PPT-II. WRF Set-Up

12 km Parent Domain 4 km Nested Domain Present Day Land Type over Baffin Island Insolation Present day Min ampMax Summer Temperature Avg Cold Warm Topography Realistic GCM. 1. , Eric Stevens. 1. , Xiangdong Zhang. 1. ,Tom Heinrichs. 1. , Scott Macfarlane. 1. , Don Morton,. 2. Melissa Kreller. 3. , and Bradley Zavodsky. 4. . Affiliations:. 1 . Geographic Information Network of Alaska, UAF. Bradley Zavodsky. 1 . , Danielle Kozlowski. 2. 1. NASA Short-term Prediction Research and Transition (SPoRT) Center, Huntsville, Alabama. 2. Soil, Environmental and Atmospheric Science Department, University of Missouri, Columbia, Missouri. Kristen . Lani. Rasmussen. Robert A. Houze, Jr. . ICAM 2013, . Kranjska. Gora, June 6th. Convective . “. h. ot spots. ”. occur near major mountain ranges (. Zipser. et al. 2006). Most Intense Thunderstorms on Earth. Bart Brashers, ENVIRON. Jared Heath Bowden, UNC. 3SAQS WRF Modeling Recommendations. Week long simulations for beginning of January and July. Tests included:. ECMWF vs. NAM Initial and Boundary Conditions. Update from Santa Cruz meeting. Matt Higgins. John Cassano. May 18, 2010. 1. SLP Bias Issue. As . mentioned at the Santa Cruz meeting, . WRF atmospheric simulations have shown significant high. SLP bias in the N. Pacific. In the context of diagnosing the bias in the wintertime 2m air temperature and surface temperature over land in coupled RASM simulations, I have been looking more closely at whether the area that shows a temperature bias corresponds to any of the VIC soil or vegetation fields. There is definitely a well-defined area with enhanced downward . Adam Varble. WRF Users Meeting. 10/26/15. Use Modules: new .. tchsrc. and .. custom.csh. files. https://www.chpc.utah.edu/documentation/software/. modules.php. . Loading Modules Rather than Sourcing. Three-State Data Warehouse (3SDW). 2011 WRF Modeling . Model Performance Evaluation Summary. University of North Carolina (UNC-IE). Cooperative Institute for Research in the Atmosphere (CIRA). ENVIRON International Corporation (ENVIRON. Mireia Udina. 1. , MR Soler. 1. , S Viana. 2. , C Yagüe. 3. 1. Mesoscale & . microscale. meteorology group, University of Barcelona, . Catalunya. , Spain. 2. Agencia . Estatal. de . Meteorología. Intel Corporation. Workshop on Programming weather, climate, and earth-system models. on heterogeneous multi-core platforms. September 7, 2011. Opportunity of . Improving . WRF . Performance Through . Investigating . physics sensitivity, . multi. -scale predictability, . and . model performance. UAlbany:. Massey Bartolini,. Justin Minder (lead faculty),. Ryan Torn,. Dan Keyser. NWS Focal Points:. David . Observation and Simulation . Yongqiang Sun, Michael Ying, . Shuguang. Wang, . Fuqing. Zhang. Group meeting. 07-19-2013. Wheeler and . Kiladis. . 1999. . . Kiladis. . et al. 2009. 2-Day. Motivation: . Negin Sobhani . 1,2. , . Davide. Del Vento. 2. ,David Gill. 2. , Sam Elliot. 3,2. ,and . Srinath. Vadlamani. 4. 1. 1 . University of Iowa . 2. National Center for atmospheric Research(NCAR) . 3. Targeting Intel Multicore . and Manycore Architectures. Samm Elliott. Mentor – Davide Del Vento. The WRF Model. The Weather Research and Forecasting (WRF) Model is a . mesoscale. . numerical weather prediction system designed for both atmospheric research and operational forecasting needs.