PPT-GPCP  TRMM  

Author : ButterflyKisses | Published Date : 2022-08-01

La Nina Jul10Jan11 July January pairs at right mark the strongest El Nino and strongest La Nina periods since TRMM data began January 1998 19982008 TRMM AMIP

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GPCP  TRMM  : Transcript

La Nina Jul10Jan11 July January pairs at right mark the strongest El Nino and strongest La Nina periods since TRMM data began January 1998 19982008 TRMM AMIP overlap El Nino Jul09Jan10. Robert A. Houze, Jr.. University of Washington. ISSCP at 30, New York, 22 April 2013. Radars in Space. CloudSat. 2006-. TRMM. 1997-. Epic Floods . in . Pakistan. 2010, 2011, 2012. 25N. 30N. 65. E. 7. 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 . , . 2. Richard Blakeslee, . 2. William Koshak, and . 3. Douglas Mach. with contributions from the GOES-R GLM AWG and Science Team. 1. GOES-R Program Senior Scientist, NOAA/NESDIS GPO. http://www.goes-r.gov. Heather Grams, Pierre . Kirstetter. CIMMS/NSSL, Norman, OK. J.J. . Gourley. , Robert Rabin. NOAA/NSSL, Norman, OK. 146 WSR-88Ds . 30 Canadian Radars . The Multi-Radar/Multi-Sensor System (MRMS). Robert A. Houze, Jr.. University of Washington. with: K. L. Rasmussen, M. D. Zuluaga, and S. R. Brodzik. European Geosciences Union General Assembly, Vienna, Austria 17 April 2015 . The TRMM Satellite. Robert A. Houze, Jr.. University of Washington. with: K. L. Rasmussen, M. D. Zuluaga, and S. R. Brodzik. Presented at:. AGU Fall Meeting, San Francisco, 18 December 2015 . The TRMM Satellite. 1997-2014. Image ID: theb1365, Historic C&GS Collection . Location: Stratford, Texas . Photo. . Date. : . April. 18, 1935 . Credit. : NOAA George E. . Marsh. Album. Drought. Soil moisture percentile (-). ?. 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. Converging to the “Real” Oceanic Precipitation George J. Huffman 1 , Ali Behrangi 2 , Jian-Jian Wang 3 1 Code 612, NASA /GSFC , 2 JPL, 3 Univ. of Maryland /ESSIC Earth Sciences Division - Atmospheres Precipitation (%). . Tropical rainfall intensification. Daily precipitation was sorted by intensity. Bin boundaries were calculated and monthly anomalies in frequency in each bin computed. Linear regression with SST was applied to estimate precipitation response to warming (Fig. 2). 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. Kengo. . Matsubayashi. Japan Meteorological Agency. The Met Office. Outline. Motivation. Observation and evaluation method. Evaluation result. Summary. In many convection schemes, water substances are empirically modelled.. use of GPM in . Flood and Landslide Hazard Estimation. Robert . Adler . Earth System Science Interdisciplinary Center . University of Maryland, College Park, MD. Rainfall input from satellite information. R. Houze, K. . Virts. , A. K. Rowe, M. D. . Zuluaga. University of Washington. CloudSat Science Team Meeting, Alexandria, VA, 5 November 2014. —as seen by. A-Train and TRMM. Johnson & Houze 1987.

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