PPT-Use of GPM GMI at the Joint Center for Satellite Data Assimilation

Author : alida-meadow | Published Date : 2018-09-24

Kevin Garrett 123 Sid Boukabara 12 and Erin Jones 123 1 NOAANESDISSTAR 2 Joint Center for Satellite Data Assimilation 3 Riverside Technology Inc Preparation for

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Use of GPM GMI at the Joint Center for Satellite Data Assimilation: Transcript

Kevin Garrett 123 Sid Boukabara 12 and Erin Jones 123 1 NOAANESDISSTAR 2 Joint Center for Satellite Data Assimilation 3 Riverside Technology Inc Preparation for GPM GMI . 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. Hyperspectral. -IR and MW. Sean PF Casey. 12. , . Narges. Shahroudi. 12. , Jack Woollen. 3. , Sid . Boukabara. 2. , Kayo Ide. 1. , Ross Hoffman. 4. , and Robert Atlas. 5. 1. ESSIC/UMD . 2. NOAA/NESDIS/STAR/JCSDA . James Cummings Naval Research Laboratory. Monterey, CA 93943. 2013 Sea Surface Temperature Science Team Meeting. Seattle, Washington, USA. Global HYCOM . 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?. Lecture 1: Theory. Steven J. Fletcher. Cooperative Institute for Research in the Atmosphere. Colorado State University. Overview of Lecture. Motivation. Evidence for non-Gaussian . Behaviour. Distributions and Descriptive Statistics . Abstract:. . NOAA’s focus on developing/improving operational coupled ocean-atmosphere modeling and ecological forecasting requires establishing the data stream for addressing bio-physical feedback mechanisms and global ocean coupled physical-biogeochemical modeling. A. Hyperspectral. -IR and MW. Sean PF Casey. 12. , . Narges. Shahroudi. 12. , Jack Woollen. 3. , Sid . Boukabara. 2. , Kayo Ide. 1. , Ross Hoffman. 4. , and Robert Atlas. 5. 1. ESSIC/UMD . 2. NOAA/NESDIS/STAR/JCSDA . Lecture . 2: Applications. Steven J. Fletcher. Cooperative Institute for Research in the Atmosphere. Colorado State University. Overview of Lecture. Do we linearize the Bayesian problem or do we find the Bayesian Problem for the linear increment?. Science Workshop on Satellite Data Assimilation. 1. Overview. of NESDIS Contributions. to the JCSDA . Activities. Presented by. Sid Ahmed . Boukabara. Senior Data Assimilation Scientist, NESDIS/STAR. 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. JEDI Academy . - 10-13 June 2019. The Joint . Effort for Data assimilation Integration (JEDI). Objectives. Very brief introduction to object oriented and generic programming techniques. Concepts that are the most useful to work with JEDI. Architects: . Yannick Trémolet. , Thomas Auligne. Presenter: Guillaume Vernieres. . The Joint Effort for Data assimilation Integration (JEDI) as a Framework for Interdisciplinary Application. . Joint Center for Satellite Data Assimilation. Workshop. Evaluating a Satellite in Assimilation. Benjamin Ruston. Steve Swadley, Nancy Baker, . Rolf . Langland, Bill Campbell and Elizabeth Satterfield. NRL, . Monterey, . CA. | . 2. U.S. Naval Research Laboratory. Land Surface Data . Assimilation – Part 2 . Patricia de Rosnay. Outline. Part I (Monday 7. . March). . Introduction. Snow analysis. Screen level parameters analysis. ‏. Part II (Tuesday 8. .

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