Validation of TRMM and Other Rainfall Estimates with a High-Density Gauge Dataset for West Africa. Part II: Validation of TRMM Rainfall Products

Gauge data from a West African network of 920 stations are used to assess Tropical Rainfall Measuring Mission (TRMM) satellite and blended rainfall products for 1998. In this study, mean fields, scattergrams, and latitudinal transects for the months of May‐September and for the 5-month season are presented. Error statistics are also calculated. This study demonstrates that both the TRMM-adjusted Geostationary Observational Environmental Satellite precipitation index (AGPI) and TRMM-merged rainfall products show excellent agreement with gauge data over West Africa on monthly-to-seasonal timescales and 2.5 83 2.58 latitude/longitude space scales. The root-mean-square error of both is on the order of 0.6 mm day 21 at seasonal resolution and 1 mm day21 at monthly resolution. The bias of the AGPI is only 0.2 mm day21, whereas the TRMM-merged product shows no bias over West Africa. Performance at 1.0 83 1.08 latitude/longitude resolution is also excellent at the seasonal scale and good for the monthly scale. A comparison with standard rainfall products that predate TRMM shows that AGPI and the TRMM-merged product perform as well as, or better than, those products. The AGPI shows marked improvement when compared with the GPI, in reducing the bias and in the scatter of the estimates. The TRMM satellite-only products from the precipitation radar and the TRMM Microwave Imager do not perform well over West Africa. Both tend to overestimate gauge measurements.

[1]  U. Schneider,et al.  Global precipitation estimates based on a technique for combining satellite-based estimates, rain gauge analysis, and NWP model precipitation information , 1995 .

[2]  G. Huffman,et al.  Global tropical rain estimates from microwave‐adjusted geosynchronous IR data , 1994 .

[3]  Robert F. Adler,et al.  Estimation of Monthly Rainfall over Japan and Surrounding Waters from a Combination of Low-Orbit Microwave and Geosynchronous IR Data , 1993 .

[4]  U. Schneider,et al.  Terrestrial Precipitation Analysis: Operational Method and Required Density of Point Measurements , 1994 .

[5]  P. Xie,et al.  An Intercomparison of Gauge Observations and Satellite Estimates of Monthly Precipitation , 1995 .

[6]  T. N. Krishnamurti,et al.  The status of the tropical rainfall measuring mission (TRMM) after two years in orbit , 2000 .

[7]  Sharon E. Nicholson,et al.  Validation of TRMM and Other Rainfall Estimates with a High-Density Gauge Dataset for West Africa. Part I: Validation of GPCC Rainfall Product and Pre-TRMM Satellite and Blended Products , 2003 .

[8]  M. L. Morrissey,et al.  Comparison of Two Satellite-based Rainfall Algorithms Using Pacific Atoll Raingage Data , 1993 .

[9]  Ralph Ferraro,et al.  Special sensor microwave imager derived global rainfall estimates for climatological applications , 1997 .

[10]  M. Shafer,et al.  The Pacific Rain Gage Rainfall Database , 1995 .

[11]  D. Rosenfeld TRMM observed first direct evidence of smoke from forest fires inhibiting rainfall , 1999 .

[12]  B. N. Meisner,et al.  The Relationship between Large-Scale Convective Rainfall and Cold Cloud over the Western Hemisphere during 1982-84 , 1987 .

[13]  David T. Bolvin,et al.  Tropical Rainfall Distributions Determined Using TRMM Combined with Other Satellite and Rain Gauge Information , 2000 .

[14]  D. Legates,et al.  Mean seasonal and spatial variability in gauge‐corrected, global precipitation , 1990 .

[15]  J. Janowiak,et al.  The Global Precipitation Climatology Project (GPCP) combined precipitation dataset , 1997 .