50 likes | 168 Views
Focus Group 9 Space Radiation & Climatology . what long-term variables are in data sets we know about? E.g. solar wind velocity, Dst, GOES >2 MeV, POLAR, SAMPEX. How do we use them for climatology? Numerical techniques for discovering long-term variability
E N D
Focus Group 9Space Radiation & Climatology • what long-term variables are in data sets we know about? E.g. solar wind velocity, Dst, GOES >2 MeV, POLAR, SAMPEX. How do we use them for climatology? • Numerical techniques for discovering long-term variability • Reanalysis over a (near?) solar cycle or 鉄uppose you had a full solar cycle time series of the global radiation belt, ring current, plasmasphere etc, what would you do with it? • How is our driven, coupled system different from terrestrial weather/climate modeling?6. General research updates
Web page for FG9 http://virbo.org/wiki/index.php/GEMFG9 • E-mail distribution to keep current on FG 9 activities between meetings • Links to notes from past meetings • Etc.
Scientists around the world use the reanalysis data for: Climate studies Seasonal climate prediction Climate variability studies Initial/boundary conditions for regional/sub-grid-scale models Diagnostic studies Verification of climate models Testbed for operational models The US atmospheric science community produces a standardized 40 year ‘reanalysis’ (via NCEP and NCAR) The reanalysis is built by going back as far as the data allows and running a consistent standard data assimilative physics-based global analysis model The reanalysis provides numerous climate and weather data for the entire globe on a standard grid. The reanalysis is run after the fact, when all data are available. July 29, 2004 Reanalysis:Air Temp at Sea Level (K) Introduction to Reanalysis Figure courtesy US National Climate Reanalysis Project
Precipitation Distribution: Solar-cycle Dependence 1992-2008 SAMPEX NOAA POES