PPT-Real-data WRF:

Verification with MET package ATM 419563 Spring 2017 Fovell 1 Terms AGL above local ground level MSL above mean sea level ASOS Automated Surface Observing System MET Model Evaluation Tools package. 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. Chem. “Aerosol Chemicals to Aerosol Optical Properties” Module using data from the MILAGRO campaign. J. C. Barnard, J. D. Fast, G. Paredes-Miranda, W. P. Arnott, and A. . Laskin. Atmos. Chem. Phys. R. esearch and . F. orecasting – . S. tochastic . T. ime-. I. nverted . L. agrangian. . T. ransport . (. WRF. -. STILT). . model. Derek Mallia. STILT tutorial. v. 08/20/2015. Derek.Mallia@. utah.edu. Kristen . Lani. Rasmussen. Robert A. Houze, Jr. ., Anil Kumar. 2013 Mesoscale Processes, Portland, OR . 9 August 2013. Convective . “. h. ot spots. ”. occur near major mountain ranges (. Zipser. Passcode. 69801. Potential . Vorticity. and Its Application in Operations. Philip N. Schumacher. 11 December 2007. This talk is based on work done with Dr. Martin Baxter of Central Michigan University and Josh Boustead of WFO OAX.. 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. Towards Improving Cold Air Pools. Jared Bowden. Kevin . Talgo. UNC Chapel Hill. Institute for the Environment. Feb. 25, 2015 . Motivation. Strong and persistent low-level atmosphere temperature inversions . WRF: Setup and run. ATM 419. Spring 2016. Fovell. 1. References. ARW users guide (PDF available). http://www2.mmm.ucar.edu/wrf/users/docs/user_guide_V3/contents.html. Technical description of WRF (PDF). 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. 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. Swati . Singhal. . 1. Alan Sussman . The 2nd International Workshop on Data Reduction for Big Scientific . Data. UMIACS and Department of Computer Science. D. ata. reduction is growing concern for scientific computing. 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.