PPT-Technical Note: Evaluation of the WRF-

Chem Aerosol Chemicals to Aerosol Optical Properties Module using data from the MILAGRO campaign J C Barnard J D Fast G ParedesMiranda W P Arnott and A Laskin Atmos Chem Phys. 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. J. A. Ruiz-Arias. MMM/NCAR, . University. of Jaén. Spain. J. . Dudhia. MMM/NCAR. 13th . Annual. WRF . User’s. . Workshop. , 25-29 June 2012, Boulder, CO. C.A. . Gueymard. Solar . Consulting. . Michael D. McAtee. Environmental Satellite Systems Division (ESSD). User Applications and Integration (UA&I). The Aerospace Corporation. ESSD/UA&I. May 2014. Approved for Public Release – Distribution Unlimited . 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. 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. of wet scavenging for the May 29, 2012 DC3 severe storm . case. Megan . Bela. . (. U. Colorado). , . Mary . Barth. . (. NCAR), . John . Wong, . O. Brian . Toon. . (U. Colorado), . Hugh . Morrison, Morris Weisman, Kevin Manning, Glen Romine, Wei . 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. Preprocessing. System: . Description of General Functions. Michael Duda. 1. 1. National Center for Atmospheric Research*, NESL. *NCAR is funded by the Nationa. l. Science Foundation. 1. Purpose of this Lecture. Gregory Carmichael(1), . Pablo . E. . Saide. (NCAR), . Meng. . Gao. (1), Maryam . Abdioskouei. (1), . Arlindo da Silva (NASA GSFC), R. Brad Pierce (NOAA NESDIS-STAR), David G. Streets (ANL), . Jhoon. 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. Investigating . physics sensitivity, . multi. -scale predictability, . and . model performance. UAlbany:. Massey Bartolini,. Justin Minder (lead faculty),. Ryan Torn,. Dan Keyser. NWS Focal Points:. David . Nonhydrostatic. atmosphere and hydrostatic ocean models based . on unstructured . centroidal. . Voronoi. (. hexagonal. ) meshes using C-grid staggering and selective grid refinement.. Jointly . developed, primarily by. 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.