PI: R. Adler (NASA/GSFC) Co-I’s: G. Huffman, G. Gu, S.Curtis Project Title:Global Precipitation Analysis for Climate and Weather Studies PI: R. Adler (NASA/GSFC) Co-I’s: G. Huffman, G. Gu, S.Curtis Science issue: Determine how the characteristics of global precipitation are changing in terms of means, variations and extremes. Approach:Analyze the GPCP record along with other shorter, high quality data sets such as TRMM. Satellite-based data: GPCP, TRMM radar and passive estimates, SSM/I, AMSR, TRMM Multi-satellite Precipitation Analysis (TMPA) 3-hr data Other data and models:Other water cycle/ reanalysis data sets Study Period:1979-present for long-term studies; 1998-present (TRMM period) for focused comparisons and extremes Project status: Year 1 & 2 major finding - Gu et. al 2007 define possible increase in tropical rainfall, impact of volcanoes. Curtis et al. 2007link ENSO to dry and wet extremes globally. Year 3 (now) – focus on surface temperature-rain relations on inter-annual to inter-decadal scale, determination of climatological rain and bias error for water cycle closure, variations in extremes Year 4&5 - understand temp./rain relations, close water cycle and examine variations thereof, critically examine rain trends Gu, G., R. Adler, G. Huffman, and S. Curtis , 2007: Tropical Rainfall Variability on Interannual-to-Interdecadal/Longer-Time Scales Derived from the GPCP Monthly Product, J. Climate, 20, 4033-4046 Curtis, S., A. Salahuddin, R. F. Adler, G. J. Huffman, G. Gu, and Y. Hong, 2007: Precipitation extremes estimated by GPCP and TRMM: ENSO relationships. J. Hydrometeor. (GEWEX Special Issue), 8, 678-689. NEWS linkages: (pull, push, collaborate, external) Wentz, Roads, others-use data sets/results Schlosser - Precip. info. for NEWS “close the water cycle” project Houser - Analyze precip. in central U.S. for weather extremes Bosilovich- Evaluate re-analysis with GPCP data Rodell/Peters-Lidard –TMPA data for evaluation Contributes to the GEWEX through GPCP production and analysis of water cycle Tropical rain variations (1979-2006) showing possible increasing trend-mainly over oceans-Gu et al. (2007)