PPT-Calibration of GOES-R ABI cloud products and TRMM/GPM obser

Author : pasty-toler | Published Date : 2016-06-26

Heather Grams Pierre Kirstetter CIMMSNSSL Norman OK JJ Gourley Robert Rabin NOAANSSL Norman OK 146 WSR88Ds 30 Canadian Radars The MultiRadarMultiSensor System

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Calibration of GOES-R ABI cloud products and TRMM/GPM obser: Transcript

Heather Grams Pierre Kirstetter CIMMSNSSL Norman OK JJ Gourley Robert Rabin NOAANSSL Norman OK 146 WSR88Ds 30 Canadian Radars The MultiRadarMultiSensor System MRMS. Limitations. R. Houze. University of Washington. CaPPM. Meeting, JPL, Pasadena, October 1, 2014. TRMM. GPM. CloudSat .  . EarthCare. TRMM and CloudSat analyses in the tropics: Advantages and . of . MODIS Sea-Surface Temperatures . – an Essential Climate Variable. Peter J. . Minnett & Robert H. Evans . Meteorology and Physical Oceanography. Rosenstiel School of Marine and Atmospheric Science. Public Health. Pietro. . Ceccato. Vector-Borne Diseases. Mosquito. Sandfly. Malaria. Leishmaniasis. How Does Climate . I. nformation Help?. Improve . understanding of the . mechanisms. . of . climate . 1 July 2015. Presented By:. Bob Kuligowski. NOAA/NESDIS/STAR. Yaping. Li, Yan . Hao. I. M. Systems Group. 2. Outline. Background. Motivation. Satellite QPE Basics. The Basic GOES-R Rainfall Rate Algorithm. Dependency on Environmental and Meteorological Parameters. Presented by. Jodi K. . Haponski. (GSSP Summer Program). Mentors. Radina P. Soebiyanto (USRA/NASA). Richard K. Kiang(NASA). Background. Most common disease. AWIPS/AWIPS2 Examples and Product Information. GOES-EAST MVFR Probability. AWIPS. AWIPS2. This is the probability that the cloud ceiling is below 3000 . ft. and/or the surface visibility is less than 5 mi. ?. Himalayas. Andes. Rockies. New Fellows Presentation, . AGU, San Francisco, . 5 . December 2012. Robert A. Houze, Jr.. University of Washington. Radars in Space. TRMM. 1997-. CloudSat. 2006-. Typical Tropical Convective Cloud Population. USGS EROS. rmorfitt@usgs.gov. Work Performed by. SGT: Mike Choate, . Mark . Lubke, . Obaidul. . Haque. , . Ajit. . Sampath. , Jim . Storey. , . and . Esad. . Micijevic. SDSU: . Dennis . Helder. , and Ashish Shrestha . (non FEWS related changes). 11/14/2013. CHPS-4.0.1. CHPS-4.0.1 is coming. OHD and RFC beta testing is complete. Special Thanks to MARFC, MBRFC, LMRFC, WGRFC, SERFC, and CNRFC. “Final” package with HSD for final phase of testing (installation). NOAA/NESDIS. Steve Wanzong, Andi Walther, Pat Heck, William . Straka. , . Marek. . Rogal. . UW/CIMSS. Patrick . Minnis. NASA/. LaRC. Outline. Enhancements . Current Activities. Validation Progress. ). Report from 2016 Meeting of. the GSICS Research Working Group (GRWG). Overview. Intro. GSICS Research Working Group. Sub-Group. IR, VIS/NIR, MW, UV. Issues for Executive Panel & GSICS . Users. Presented by. Jodi K. . Haponski. (GSSP Summer Program). Mentors. Radina P. Soebiyanto (USRA/NASA). Richard K. Kiang(NASA). Background. Most common disease. Annually Infects 5-15% of global population. La Nina:. Jul10+Jan11. July . /. January pairs at right mark the strongest El Nino and strongest La Nina periods since TRMM data began January 1998).. 1998-2008:. TRMM / AMIP overlap. El Nino:. Jul09+Jan10. Add 12 event classes for SVX detector. .  . Done. Generate calibration parameters for Q-vector and flattening run by run .  . on-going. Status of centrality calibration. The calibrations for run-343031-347349 are good to use..

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