PPT-Advancements in Operational CMAQ MODIS AOD Data-Assimilation at Baron Advanced Meteorological

Advancements in Operational CMAQ MODIS AOD DataAssimilation at Baron Advanced Meteorological Systems During Forecast Year 2013 John N McHenry Jeff Vukovich Don Olerud and WT Smith Baron Advanced Meteorological Systems. John N. McHenry,. Jeff . Vukovich. , Don . Olerud. , and W.T. Smith. Baron Advanced Meteorological Systems. Review of the MODIS-DA Modeling Component. Review of Preliminary Real-Time Testing Results. data assimilation. and forecast error statistics. Ross Bannister, 11. th. July 2011. University of Reading, r.n.bannister@reading.ac.uk. “All models are wrong …” . (George Box). “All models are wrong and all observations are inaccurate”. CalNex. R. Bradley Pierce. NOAA/NESDIS/STAR. Allen . Lenzen. 1. , . Todd . Schaack. 1. , . Tom . Ryerson. 2. , . John . Holloway. 2. , . Ilana. . Pollack. 2. , . Ann . Middlebrook. 2. , . Roya. . Bahreini. Toward a Multidecadal, Multisensor Global Record. NASA ROSES 2013 NNH13ZDA001N-SNPP. . 2.1.3 Other New NASA Data Products from Suomi NPP Measurements. Watson W. Gregg, Principal Investigator. NASA Global Modeling and Assimilation Office. 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. Operational Readiness Review. June 12, 2017. <number>. Background. Ongoing implementation of NOAA/NWS National Air Quality Forecast Capability (NAQFC) operationally to provide graphical and numerical guidance, as hourly gridded pollutant concentrations, to help prevent loss of life and adverse health impacts from exposure to poor air quality (AQ). (The 10. th. . Adjoint. Workshop). Roanoke. , West Virginia. June . 1. -5, . 2015. The Use of Ensemble-Based Sensitivity with Observations to Improve Predictability of Severe Convective Events. Brian . Antonio . Stanesic. Outline. General information . Croatia supercomputers. Usage of DHMZ supercomputer Viking. OU – DHMZ collaboration. Croatia. 56,542km. 2. . 4,5 . million inhabitants. Croatia. Jun Li. @. , . Timothy J. . Schmit. &. , . Jinlong. Li. @. , Pei Wang. @. , Steve Goodman. #. @. CIMSS/SSEC, University of . Wisconsin-Madison. &Center . for Satellite Applications and Research, . Sid-Ahmed Boukabara. The JCSDA Summer Colloquium, August 7. th. , 2015, Fort Collins, CO. NOAA/NESDIS/STAR & JCSDA. 2. Contents. What Is R2O or R2X in General?. 1. What is an O2R and why is it important?. Is the time right to add lightning-NO to operational air quality forecast models? Dale Allen Dept. of Atmos and Oceanic Sci, UMD-College Park Kenneth Pickering Atmos Chem and Dyn Branch, NASA-GSFC Robert Pinder and Thomas Pierce Exploring Using Artificial Intelligence (AI) for NowCasting and NWP S. Boukabara*, E. Maddy + , A. Neiss + , K. Garrett * , E. Jones + , K. Ide ~ , N. Shahroudi + and K. Kumar + *NOAA/NESDIS Center for Satellite Applications and Research (STAR . VIIRS Snow . and . Ice Product Provisional Maturity Review November 14, 2013. Mike . Ek. , . Jiarui. Dong . and EMC Land Team. NOAA/NCEP/EMC. •. Unified Noah LSM in all NCEP NWP and climate systems, plus in NLDAS/GLDAS.. Jeremy Berman. University at Albany. Thursday 03 May 2018. ATM 419/563. Outline. Data Assimilation (DA). At the end, you should know:. What is it?. How it works?. Why is it important?. Basic DA techniques.