PPT-Exploring strategies for coupled 4D-Var data assimilation using an idealised atmosphere-ocean
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Polly Smith Alison Fowler amp Amos Lawless School of Mathematical and Physical Sciences University of Reading UK Introduction 1 Typically initial conditions
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Exploring strategies for coupled 4D-Var data assimilation using an idealised atmosphere-ocean: Transcript
Polly Smith Alison Fowler amp Amos Lawless School of Mathematical and Physical Sciences University of Reading UK Introduction 1 Typically initial conditions for coupled atmosphereocean model forecasts . Rockefeller Jr Memorial PKWY Big Hole NB Cowpens NB Fort Donelson NB Fort Necessity NB Moores Creek NB Petersburg NB Stones River NB Tupelo NB Wilsons Creek NB Kennesaw Mountain NBP Richmond NBP Brices Cross Roads NBS Chickamauga and Chattanooga NMP 1. Min-Jeong Kim. JCSDA 9th Workshop on Satellite Data Assimilation, May 24-25, 2011, M-J. Kim. 2. Fuzhong Weng, . 3. Emily Liu, . 4. Will McCarty, . 3. Yanqiu Zhu, . 3. John Derber, and . 3. Andrew Collard. Michele . Rienecker. Global Modeling and Assimilation Office. NASA/GSFC. WMO CAS Workshop. Sub-seasonal to Seasonal Prediction. Met Office, Exeter. 1 to 3 December 2010 . 2. What do we mean by “coupled data assimilation”?. Coupled Atmosphere-Ocean . Data . Assimilation. Strategies with an . EnKF. and a Low-Order Analogue of the . Climate System. Robert Tardif . Gregory J. Hakim . Chris Snyder. University of Washington. the Upper Troposphere - Lower Stratosphere. K. . Wargan, . S. . Pawson. , . M. . Olsen, . J. . Witte, . A. . Douglass. Global Modeling and Assimilation Office (GMAO). Chemistry and Dynamics Branch. NASA GSFC. Yudong. Gao. 1 observational data analysis. Pictures are from P. W. Chan et al. (2014). Left figure is the reconnaissance data from 9:06 to 9:59 UTC, which is thinning at 3km. . data from 12:00 to 12:12 UTC. The direction of wind was changing as the flight direction.. When one cultural group adapts to another cultural group’s way of life. Language, religion, way of life is abandoned. Cultural differences then disappear. Cultural “uniformity” is created. Can be done voluntarily. calls. CW2015. Kristian. S. . Mogensen. Marine Prediction . Section. k.mogensen@ecmwf.int. Overview of talk:. Baseline:. The focus of this talk is going to be on coupling of IFS and WAM to NEMO. Motivation. June 5-7, 2013, NCWCP, College Park, MD. Utility of . GOES. -R . ABI . and GLM instruments in . regional . data assimilation . for . high-. impact weather. Milija Zupanski. Cooperative . Institute for Research in the Atmosphere. NON - VERTICAL CAVITY LASER ARRAYS BY ZIHE GAO DISSERTATION Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Electrical and Computer Engineering in the . 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.. Mihail. Codrescu. 1. , Stefan Codrescu. 1,2. , . Mariangel. Fedrizzi. 1,2. , and Claudia Borries. 3. 1. Space Weather Prediction Center, Boulder, United States of America (. mihail.codrescu@noaa.gov. and Prospects for the Future. Michele Rienecker. Global Modeling and Assimilation Office. NASA/GSFC. With many . contributions borrowed . from the Ocean Data Assimilation . Community. e. specially. Co-authors of Rienecker et al. OceanObs’09. the 2018 Hurricane Season. Maria . Aristizabal. Scott Glenn. Travis Miles . Benjamin . LaCour. Pat Hogan . MTS Oceans Meeting . 2019. Roy Watlington. Doug Wilson (OCOVI). Improve the intensity forecast of the operational hurricane models.
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