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The Climate Hazards group InfraRed Precipitation (CHIRP) with Stations (CHIRPS): Development and Validation Overview Estimating precipitation variations.

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Presentation on theme: "The Climate Hazards group InfraRed Precipitation (CHIRP) with Stations (CHIRPS): Development and Validation Overview Estimating precipitation variations."— Presentation transcript:

1 The Climate Hazards group InfraRed Precipitation (CHIRP) with Stations (CHIRPS): Development and Validation Overview Estimating precipitation variations in space and time is an important aspect of drought early warning and environmental monitoring. An evolving drier- than-normal season must be placed in historical context so that the severity of rainfall deficits may quickly be evaluated. To this end, scientists at the U.S. Geological Survey Earth Resources Observation and Science Center, working closely with collaborators at the University of California, Santa Barbara Climate Hazard Group (CHG), have developed a quasi-global (50 o S-50 o N, 180 o E-180 o W), 0.05 o resolution, 1981 to near-present gridded precipitation time series: the Climate Hazard group InfraRed Precipitation with Station (CHIRPS) data archive. The primary time step is the pentad which is used to create 6-hourly, daily, dekad, monthly and 3-monthly precipitation products. Quick preliminary pentad and daily CHIRPS are available every pentad on the 2 nd day of the following pentad. Final products for all time steps are produced after the 15 th of the following month to allow for the acquisition of all available station data. Citations Funk, C., J. Michaelsen, and M. Marshall, 2012: Mapping recent decadal climate variations in precipitation and temperature across Eastern Africa and the Sahel. Remote Sensing of Drought: Innovative Monitoring Approaches, M. A. a. J. V. B. Wardlow, Ed., Taylor and Francis, 25 pages. Huffman, G. J., and Coauthors, 2007: The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-Global, Multiyear, Combined-Sensor Precipitation Estimates at Fine Scales. Journal of Hydrometeorology, 8, Janowiak, J. E., R. J. Joyce, and Y. Yarosh, 2001: A real-time global half-hourly pixel-resolution infrared dataset and its applications. Bull. Amer. Meteor. Soc., 82, Joyce, R. J., J. E. Janowiak, P. A. Arkin, and P. Xie, 2004: CMORPH: A method that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution. J. Hydromet., 5. Knapp, K. R., and Coauthors, 2011: Globally gridded satellite (GriSat) observations for climate studies. Bulletin of the American Meteorological Society 92, Peterson, T. C., and R. S. Vose, 1997: An overview of the Global Historical Climatology Network temperature database. Bulletin of the American Meteorological Society, 78, CHIRP Validation - How good is CHIRPS? Trends chg.geog.ucsb.edu Pete Peterson 1, Chris C Funk 2,1, Gregory J Husak 1, Diego H Pedreros 2, Martin Landsfeld 1, James P Verdin 2 and Shraddhanand Shukla 1 1 Geography, University of California, Santa Barbara, CA, United States. 2 US Geological Survey B1 IR coverage CHIRPS = CHIRP + Blended Stations Three worst seasonal (MAM) rainfall deficits for Horn of Africa Regress Cold Cloud Duration (CCD) to TRMM-V7 pentad precipitation at each pixel, for each month ( ) and use to calculate near real time precipitation (IRP) from CPC-IR (½ hourly). Apply to B1 IR data (3-hourly) from to extend IRP time series. CHG Station Climatology Database (CSCD) 22 sources (global – regional - national) 198,000 stations (some duplicates) 500 million daily rainfall data since 1981 Another 500 million back to million daily temperature data since 1833 American Geophysical Union Fall Meeting, , San Francisco, CA, USA GPCC 2.5 o, CHIRPS 0.05 o GPCC ends in 2012, CHIRPS topped off in near-real time Independent stations Scott Adams © CHPclim is the CHG Precipitation gridded 0.05 o monthly climatology derived from station data.


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