PPT-Impact of Glider Data Assimilation on Operational Ocean Models During

the 2018 Hurricane Season Maria Aristizabal Scott Glen Travis Miles Avichal Mehra HyunSook Kim Pat Hogan Gregg Jacobs Sue Chen Assess the impact of glider data assimilation on the operational hurricane models . 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. 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. 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”?. An. Overview . and Prospects for the Future. Michele Rienecker. Global Modeling and Assimilation Office. NASA/GSFC. With many . contributions borrowed . from the Ocean Data Assimilation . Community. 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?. Gregory Carmichael(1), . Pablo . E. . Saide. (NCAR), . Meng. . Gao. (1), Maryam . Abdioskouei. (1), . Arlindo da Silva (NASA GSFC), R. Brad Pierce (NOAA NESDIS-STAR), David G. Streets (ANL), . Jhoon. 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. HOW DO OCEAN GLIDERS WORK? Ocean gliders sink and “glide” downward from the sea surface – when its computer triggers a piston that draws in some seawater and therefore extra weight. Near the bottom, a reverse action causes the glider to rise and “glide” upward towards the surface. As the glider saw-tooths its way through the ocean it measures ocean properties (e.g., temperature) . Every few hours, the glider pauses at the surface and transmits its data via satellite back to the laboratory – thus providing us with a 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. 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. 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 . 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.