Extension of the TAMSAT Satellite-Based Rainfall Monitoring over Africa and from 1983 to Present
Tóm tắt
Tropical Applications of Meteorology Using Satellite Data and Ground-Based Observations (TAMSAT) rainfall monitoring products have been extended to provide spatially contiguous rainfall estimates across Africa. This has been achieved through a new, climatology-based calibration, which varies in both space and time. As a result, cumulative estimates of rainfall are now issued at the end of each 10-day period (dekad) at 4-km spatial resolution with pan-African coverage. The utility of the products for decision making is improved by the routine provision of validation reports, for which the 10-day (dekadal) TAMSAT rainfall estimates are compared with independent gauge observations. This paper describes the methodology by which the TAMSAT method has been applied to generate the pan-African rainfall monitoring products. It is demonstrated through comparison with gauge measurements that the method provides skillful estimates, although with a systematic dry bias. This study illustrates TAMSAT’s value as a complementary method of estimating rainfall through examples of successful operational application.
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Tài liệu tham khảo
Adler, 2003, The version-2 Global Precipitation Climatology Project (GPCP) Monthly Precipitation Analysis (1979-present), J. Hydrometeor., 4, 1147, 10.1175/1525-7541(2003)004<1147:TVGPCP>2.0.CO;2
Arkin, 1979, The relationship between fractional coverage of high cloud and rainfall accumulations during GATE over the B-scale array, Mon. Wea. Rev., 107, 1382, 10.1175/1520-0493(1979)107<1382:TRBFCO>2.0.CO;2
Arkin, 1987, The relationship between large-scale convective rainfall and cold cloud over the Western Hemisphere during 1982–84, Mon. Wea. Rev., 115, 51, 10.1175/1520-0493(1987)115<0051:TRBLSC>2.0.CO;2
Asadullah, 2008, Evaluation of five satellite products for estimation of rainfall over Uganda, 53, 1137, 10.1623/hysj.53.6.1137
Behrangi, 2009, PERSIANN-MSA: A precipitation estimation method from satellite-based multispectral analysis, J. Hydrometeor., 10, 1414, 10.1175/2009JHM1139.1
Behrangi, 2010, REFAME: Rain estimation using forward-adjusted advection of microwave estimates, J. Hydrometeor., 11, 1305, 10.1175/2010JHM1248.1
Bergès, 2010, EPSAT-SG: A satellite method for precipitation estimation; its concepts and implementation for the AMMA experiment, Ann. Geophys., 28, 289, 10.5194/angeo-28-289-2010
Boyd, 2013, Building resilience to face recurring environmental crisis in African Sahel, Nat. Climate Change, 3, 631, 10.1038/nclimate1856
Chadwick, 2010, The TAMORA algorithm: Satellite rainfall estimates over West Africa using multi-spectral SEVIRI data, Adv. Geosci., 25, 3, 10.5194/adgeo-25-3-2010
Challinor, 2003, Toward a combined seasonal weather and crop productivity forecasting system: Determination of the working spatial scale, J. Appl. Meteor., 42, 175, 10.1175/1520-0450(2003)042<0175:TACSWA>2.0.CO;2
Dinku, 2007, Validation of satellite rainfall products over East Africa’s complex topography, Int. J. Remote Sens., 28, 1503, 10.1080/01431160600954688
Dugdale, 1991, 65
Dybkjær, 2003, A simple self-calibrating cold cloud duration technique applied in West Africa and Bangladesh, Dan. J. Geogr., 103, 83, 10.1080/00167223.2003.10649482
FAO/GIEWS, 2014: FAO/GIEWS livestock and market assessment mission to Karamoja Region, Uganda. FAO Special Rep., 32 pp. [Available online at www.fao.org/docrep/019/I3674e/I3674e.pdf.]
Flitcroft, 1989, Relating point to area average rainfall in semiarid West Africa and the implications for rainfall estimates derived from satellite data, J. Appl. Meteor., 28, 252, 10.1175/1520-0450(1989)028<0252:RPTAAR>2.0.CO;2
Grimes, 1999, Optimal areal rainfall estimation using raingauges and satellite data, J. Hydrol., 222, 93, 10.1016/S0022-1694(99)00092-X
Herman, 1997, Objectively determined 10-day African rainfall estimates created for famine early warning systems, Int. J. Remote Sens., 18, 2147, 10.1080/014311697217800
Hooker, 2013
Hsu, 2008
Hsu, 1997, Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks, J. Appl. Meteor., 36, 1176, 10.1175/1520-0450(1997)036<1176:PEFRSI>2.0.CO;2
Huffman, 1997, The Global Precipitation Climatology Project (GPCP) combined precipitation dataset, Bull. Amer. Meteor. Soc., 5, 10.1175/1520-0477(1997)078<0005:TGPCPG>2.0.CO;2
Huffman, 2007, The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-global, multiyear, combined-sensor precipitation estimates at fine scales, J. Hydrometeor., 8, 38, 10.1175/JHM560.1
Jobard, 2011, An intercomparison of 10-day satellite precipitation products during West African monsoon, Int. J. Remote Sens., 32, 2353, 10.1080/01431161003698286
Joyce, 2004, CMORPH: A method that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution, J. Hydrometeor., 5, 487, 10.1175/1525-7541(2004)005<0487:CAMTPG>2.0.CO;2
Kucera, 2013, Precipitation from space: Advancing Earth system science, Bull. Amer. Meteor. Soc., 94, 365, 10.1175/BAMS-D-11-00171.1
Kummerow, 2000, The status of the Tropical Rainfall Measuring Mission (TRMM) after two years in orbit, J. Appl. Meteor., 39, 1965, 10.1175/1520-0450(2001)040<1965:TSOTTR>2.0.CO;2
Laurent, 1998, Validation of satellite and ground-based estimates of precipitation over the Sahel, Atmos. Res., 47-48, 651, 10.1016/S0169-8095(98)00051-9
Maidment, 2013, Evaluation of satellite-based and model re-analysis rainfall estimates for Uganda, Meteor. Appl., 20, 308, 10.1002/met.1283
Milford, 1984
Milford, 1994
Novella, 2013, African Rainfall Climatology version 2 for famine early warning systems, J. Appl. Meteor. Climatol., 52, 588, 10.1175/JAMC-D-11-0238.1
Rembold, 2013
Richards, 1981, On the relationship between satellite-observed cloud cover and precipitation, Mon. Wea. Rev., 109, 1081, 10.1175/1520-0493(1981)109<1081:OTRBSO>2.0.CO;2
Snijders, 1991, Rainfall monitoring based on Meteosat data—A comparison of techniques applied to the western Sahel, Int. J. Remote Sens., 12, 1331, 10.1080/01431169108929729
Teo, 2006
Thorne, 2001, Comparison of TAMSAT and CPC rainfall estimates with raingauges, for southern Africa, Int. J. Remote Sens., 22, 1951, 10.1080/01431160118816
Todd, 1995, Satellite identification of rain days over the upper Nile River basin using an optimum infrared rain/no-rain threshold temperature model, J. Appl. Meteor., 34, 2600, 10.1175/1520-0450(1995)034<2600:SIORDO>2.0.CO;2
Todd, 1999, Estimation of daily rainfall over the upper Nile river basin using a continuously calibrated satellite infrared technique, Meteor. Appl., 6, 201, 10.1017/S1350482799001206
Tucker, 2001, A comparison of Meteosat rainfall estimation techniques in Kenya, Meteor. Appl., 8, 107, 10.1017/S1350482701001098
Vancutsem, 2012