PPT-Motivation: To develop gap-filled satellite ocean color fields for use in data assimilation

Abstract NOAAs focus on developingimproving operational coupled oceanatmosphere modeling and ecological forecasting requires establishing the data stream for addressing biophysical feedback mechanisms and global ocean coupled physicalbiogeochemical modeling A. 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. 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”?. R. Foster, S. Hlaing, A. . Gilerson. , S. Ahmed. Robert Foster, ME, LEED AP. Optical Remote Sensing Laboratory. The City College of New York. CoRP. Science Symposium. September 9-10, 2014. Introduction & Motivation. 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?. Lian. Feng and . Chuanmin. Hu. University of South Florida. NASA MODIS/VIIRS Science Team Meeting. May 18 – 22, 2015, Silver Spring, MD. Problem and Motivation. Cloud . effects on . Chl. -a and FLH. 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 . 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. 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. 1Inter-Color Products from GOCI and MODISRuhul Amin1Richard Gould1Sherwin Ladner1 Igor Shulman1Jason Jolliff1Peter Sakalaukus1Adam Lawson1 Paul Martinolich2and Robert Arnone11Naval Research Laboratory Polly Smith, Alison . Fowler & Amos . Lawless. School of Mathematical and Physical . Sciences, . University of . Reading, UK.. Introduction (1). Typically, . initial conditions for coupled atmosphere-ocean model forecasts . 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. and Prospects for the Future. Michele Rienecker. Global Modeling and Assimilation Office. NASA/GSFC. With many . contributions borrowed . from the Ocean Data Assimilation . Community. e. specially. Co-authors of Rienecker et al. OceanObs’09. 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.