Dekadal RFE
Dekadal Period
Afghanistan
Product Documentation
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As of January 1, 2001, RFE version 2.0 has been implemented by NOAA's Climate Prediction Center. Created by Ping-Ping Xie, this replaces RFE 1.0, the previous rainfall estimation algorithm that was operational from 1995 through 2000 (Herman et al., 1997). RFE 1.0 used an interpolation method to combine Meteosat and Global Telecommunication System (GTS) data, and included warm cloud information for the dekadal estimates. RFE 2.0 uses additional techniques to better estimate precipitation while continuing the use of cold cloud duration, or CCD (derived from cloud top temperature), and station rainfall data. Meteosat 7 geostationary satellite infrared data are acquired in 30-minute intervals, and areas depicting cloud top temperatures of less than 235K are used to estimate convective rainfall. WMO GTS data from ~1000 stations provide station rain gauge totals, and are taken to be the true rainfall within 15-km radii of each station. Two new satellite rainfall estimation instruments are incorporated into RFE 2.0, namely, the Special Sensor Microwave/Imager (SSM/I) on board Defense Meteorological Satellite Program satellites, and the Advanced Microwave Sounding Unit (AMSU) on board NOAA satellites. SSM/I estimates are acquired at 6-hour intervals, while AMSU rainfall estimates are available every 12 hours. RFE 2.0 obtains the final daily rainfall estimation using a two part merging process, then sums daily totals to produce dekadal estimates. All satellite data are first combined using the maximum likelihood estimation method, then GTS station data are used to remove bias. For more information on the FEWS RFE algorithm, please refer to the RFE 2.0 documents at http://www.cpc.ncep.noaa.gov/products/fews/rfe.shtml. Note: Scroll to the bottom of the page.
The daily data are in geographic coordinates. The daily totals are summed to produce the dekadal total. References: Xie, P. and P. A. Arkin, 1997. A 17-year monthly analysis based on gauge observations, satellite estimates, and numerical model outputs. Bulletin of the American Meteorological Society 78(11): 2539-58" |