PPT-Programming Techniques Joint Center for Satellite Data Assimilation (JCSDA)

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JEDI Academy 1013 June 2019 The Joint Effort for Data assimilation Integration JEDI Objectives Very brief introduction to object oriented and generic programming

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Programming Techniques Joint Center for Satellite Data Assimilation (JCSDA): Transcript

JEDI Academy 1013 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. 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 . 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 . 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 . 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 . Sean PF Casey. 1,2. , Ross N. Hoffman. 1,2. , Robert Atlas. 2. , and Lidia Cucurull. 2. 1. Cooperative Institute for Marine and Atmospheric Studies/University of Miami. 2. NOAA/OAR/Atlantic Oceanographic and Meteorological Laboratory. Using . the Navy Coastal Ocean Model . (. NCOM) 4D-VAR. Matthew J. Carrier, Hans E. Ngodock, . Scott . R. . Smith, Innocent . Souopgui. , and Brent Bartels. U.S. Naval Research Laboratory. Stennis Space Ctr., MS. 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?. 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. 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.

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