PPT-Coupled ocean-atmosphere modeling on horizontally icosahedr

isopycnic grids Rainer Bleck Shan Sun Haiqin Li Stan Benjamin NOAA Earth System Research Laboratory Boulder Colorado April 2016 Design goals some reached some pending Global domain. 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 . 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”?. Coupled Atmosphere-Ocean . Data . Assimilation. Strategies with an . EnKF. and a Low-Order Analogue of the . Climate System. Robert Tardif . Gregory J. Hakim . Chris Snyder. University of Washington. Geosc040, Lecture . 9 . Feb9, 2016. Somewhere . Beyond The . Sea, . Sinatra. Ocean Avenue. Yellowcard. . Thanks to . Caitlyn N. and . Alexandra B.. Thermohaline. circulation. On-line . Assignments 4 & 5 . Fast . vs. Slow Carbon Cycles. There’s a “Fast” cycle, and a “Slow” cycle. Fast Carbon Cycle. – rapid interchange between . surface ocean. , atmosphere, and top layer of soil and biosphere. Time scales of days to ~decade.. Oceanic Biogenic Volatile Organic Compounds (BVOCs): formation processes and ocean-atmosphere exchange Hang Qu Ruixiong Zhang April 16 2014 Outline Introduction OVOCs f ormation processes Ocean-atmosphere exchange 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. 1. Saha-UMAC-09Aug2016. Atmosphere. , Land, Ocean, . Seaice. , Wave, . Chemistry, . Ionosphere. Data Assimilation cycle. Analysis frequency H. ourly. Forecast length . 9 . hours. Resolution . 10 . Presented By: . Bob . Grumbine. (. NWS/NCEP). Contributors: . Hendrik Tolman . 2. Operational System Attribute(s). System Name. Acronym. Areal. . Coverage. Horz. Res. Cycle . Freq. Fcst. Length (. Asynchronous I/O. Navy ESPC (global coupled model). COAMPS (regional coupled model). Radiative transfer model (experimental). [New] NEPTUNE (global atmosphere). [New] NAAPS/aerosol model. Space Science Division . Participationin COREs(Coordinated Ocean-ice Coupled OceanCoupled Ocean--Ice Models Ice Models within the CSM Frameworkwithin the CSM Framework -HYCOM PanAm2.1 (hybri-Normally 2-26 vertical layers-CI 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 . April 19 and 20, 2018. Mark A. Bourassa. 1. Ernesto Rodriguez. 2. . and Sarah Gille. 3. Center for Ocean-Atmospheric Prediction Studies. and Department of Earth, Ocean and Atmospheric Science, Florida State University.