PPT-Representative Meteorological Data for AERMOD: A Case Study of WRF-Extracted Data Versus

October 23 2017 Brian Holland Tiffany Stefanescu Qiguo Jing Weiping Dai Introduction Met data for nearfield air dispersion modeling C losest airport station to facility being modeled . The former represents a centralized approach while the latter represents a decentralized approach The centralized IT department suits some organizations better than others However it is becoming increasingly obvious that organizations may often cons 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. 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 . By: Ashley, Kristen, Chealsa, and Melinda. Objective. Extract oils from both walnuts and hazelnuts and compare IR and GC-MS results to the standards. Extract oil from nutmeg and caraway seeds and compare the IR and GC-MS data to that of the standards, eugenol, limonene, and carvone. . 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. 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. 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. Manager. Wanderlust. Collaborative exploration for a more interesting world. Dave:. Design. Jim:. Documentation. Josiah:. Development. Carolyn:. Testing. Overview. Problem & Solution. Contextual Inquiry. 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. 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. Benjamin . Lamptey,PhD. (Meteorologist). Regional Maritime University, Accra Ghana. bllamptey@gmail.com. An update on the google-funded UCAR Meningitis Weather Project. Abudulai. Adams-. Forgor. , Patricia . 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.