PPT-1 Reanalysis Coupled Data Assimilation at NCEP

Author : spottletoefacebook | Published Date : 2020-06-25

Presented By Suru Saha EMCNCEP Contributors Jack Woollen Daryl Kleist Dave Behringer Steve Penny Xingren Wu Bob Grumbine Mike Ek Jiarui Dong Shrinivas

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1 Reanalysis Coupled Data Assimilation at NCEP: Transcript

Presented By Suru Saha EMCNCEP Contributors Jack Woollen Daryl Kleist Dave Behringer Steve Penny Xingren Wu Bob Grumbine Mike Ek Jiarui Dong Shrinivas Moorthi. 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 . P. Lewis. What is Data Assimilation?. Optimal merging of models and data. Models. Expression of current understanding about process. E.g. terrestrial C model. Data. Observations. E.g. EO. . Some basic stats. and Reanalyses . for Climate. . . Kevin E. Trenberth . NCAR. . Boulder . CO. Data Assimilation. merges observations & model predictions to provide a superior state estimate.. . It . provides a dynamically- consistent estimate of the state of the system using the best blend of past, current, and perhaps future observations.. 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”?. Andrew Collard, Daryl . Keist. , David Parrish, Ed Safford, Emily Liu, Manuel . Pondeca. , . Miodrag. . Rancic. , Lidia . Cucurull. , . Haixia. Liu, . XiuJuan. Su, Shun Liu, Wan-. Shu. Wu, Paul van . related. . activities. Y.Harada. , . Shinya Kobayashi. , . Y.Ota. , . H.Onoda. , . A.Ebita. , . M.Moriya. , . Kazutoshi. . Onogi. , . H.Kamahori. , . C.Kobayashi. , . H.Endo. , . K.Miyaoka. , . R.Kumabe. 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.. of the . SPARC Reanalysis . Intercomparison. Project . (S-RIP) . Masatomo. Fujiwara (Hokkaido Univ., Japan), . . Lesley Gray (Oxford Univ., UK), . Gloria . Manney. (NWRA, USA). . http://s-rip.ees.hokudai.ac.jp/. V14.0.0 Schedule. Milestone (NCEP). Date. Status. Initial coordination with SPA team. 8/1/16. Complete. Submit frozen codes to NCO to setup real-time and retrospective . runs. 10/28/2016 .  10/17/2016. Plateau. -A joint . project between University of Gothenburg (Sweden) and Penn State University . (. United States. ). Tinghai Ou, . Xingchao. Chen, . Fuqing. Zhang, . Deliang. . Chen. University of Gothenburg, Sweden. Kevin Garrett. 1,2,3. , Sid Boukabara. 1,2. , . and Erin Jones. 1,2,3. 1. NOAA/NESDIS/STAR. 2. Joint Center for Satellite Data Assimilation. 3.. Riverside Technology, Inc.. Preparation for GPM GMI . 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. 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.

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