PPT-Coupled Model Data Assimilation:

Author : faustina-dinatale | Published Date : 2016-03-10

Building an idealised coupled system Polly Smith Amos Lawless Alison Fowler School of Mathematical and Physical Sciences University of Reading UK funded by NERC

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Coupled Model Data Assimilation:: Transcript

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. 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. 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. 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”?. Integration over multidimensional current space. Mutual Flux . Weakly Coupled Circuits. Two Coupled Inductors. General Integration Path. Conservative magnetic field. Energy independent of path of integration. Benjamin Ruston. Steve Swadley, Nancy Baker, . Rolf . Langland. NRL, . Monterey, . CA. Outline. Gather information about instrument: . What are previous sensors or instruments, how have they been used?. 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 . Intern: Erick Yanez . Mentor: Shea Ferring. NASA Space Grant Robotics Team. Manipulators. Manipulators are the platform through which a robot interacts with its environment . Manipulators . Inside those manipulators and the robots there exist a plethora of different parts and circuits. . 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. 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. 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. 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. 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. for Use in Radiation Shielding Applications. by. Dermott E. Cullen. Lawrence Livermore National Laboratory. &. Robert E. MacFarlane. Los Alamos National Laboratory. presented at the Twelfth Biennial Topical Meeting of the Radiation Protection and Shielding Division, of the American Nuclear Society, to be held April 14-17, 2002 in Santa Fe, New Mexico.

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