PPT-Coupled Data Assimilation

Author : danika-pritchard | Published Date : 2016-03-10

Michele Rienecker Global Modeling and Assimilation Office NASAGSFC WMO CAS Workshop Subseasonal to Seasonal Prediction Met Office Exeter 1 to 3 December 2010 2

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Coupled Data Assimilation: Transcript

Michele Rienecker Global Modeling and Assimilation Office NASAGSFC WMO CAS Workshop Subseasonal to Seasonal Prediction Met Office Exeter 1 to 3 December 2010 2 What do we mean by coupled data assimilation. Science Advisory Committee Meeting. 26 – 28 August, 2014. National Space Science and Technology Center, Huntsville, AL. Introduction. SPoRT assimilates AIRS, CrIS, and IASI profiles into regional models to demonstrate their impact on NWP and address specific forecast issues. strategies for coupled 4D-Var data assimilation using an idealised atmosphere-ocean model. Polly Smith, Alison . Fowler & Amos . Lawless. School of Mathematical and Physical . Sciences, . University of . Building an idealised coupled system. Polly Smith, Amos . Lawless, Alison Fowler*. School of Mathematical and Physical Sciences, University of Reading, UK. * funded by NERC. Outline. Recap. objectives. 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. Presented By Suru . Saha. (EMC/NCEP). Contributors: . Jack Woollen, Daryl Kleist, Dave . Behringer. , Steve Penny, . Xingren . Wu, Bob . Grumbine. , Mike . Ek. , . Jiarui. Dong, . Shrinivas. . Moorthi. 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. Brandon Kerns*, . Shuyi. S. Chen, . Chiaying. Lee, and . Falko. . Judt. RSMAS/University of Miami. I. nterdepartmental . H. urricane . C. onference Miami, Florida 28 February – 3 March 2011 . . 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.. in the NCEP Global Forecast System. 1. Ting-Chi Wu. 1. , Lewis Grasso. 1. , . Milija. Zupanski. 1. , Heather Cronk. 1. , . James Fluke. 1. , Richard Schulte. 2. , Wesley Berg. 2. , Anton Kliewer. 1. Andrew Collard. IMSG@NOAA/NCEP/EMC. JPSS/GOES-R Risk Reduction Summit . Radiance Data Used in the . NCEP Global Model. JPSS/GOES-R Risk Reduction Summit . Microwave:. AMSU-A. : NOAA-15, 18, 19, . MetOp. 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.

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