Evaluation of Satellite Rainfall Estimates and Gridded Gauge Products over the Upper Blue Nile Region


A relatively dense station network over the Ethiopian highlands is used to evaluate the accuracy of some satellite rainfall estimates and gridded raingauge products. The satellite rainfall estimates evaluated are GPCP, CMAP, RFE, TRMM-3B42, and CMORPH. These products are evaluated at monthly, ten-daily, and daily accumulations and spatial resolutions of 2.5°, 1°, 0.5° and 0.25° lat/long. The two gridded raingauge analyses evaluated are from the Global Precipitation Climatology Centre and University of East Anglia. These monthly products were evaluated at spatial resolutions of 2.5°, 1°, and 0.5°. While satellite rainfall estimates at monthly and ten-daily time scale showed good agreements with the reference raingauge data, results for daily accumulations were not as good. However, the daily products performed reasonably well in detecting the occurrence of rainfall. Very good agreements were observed between the gridded raingauge analyses and the reference raingauge data.


Satellite Rainfall estimation Gridded products 


  1. Adler RF, Huffman GH, Chang A, Ferraro R, Xie P, Janowiak J, Rudolf B, Schneider U, Curtis S, Bolvin D, Gruber A, Susskind J, Arkin PA, Nelkin E (2003) The version-2 global precipitation climatology project (GPCP) monthly precipitation analysis (1979–present). J Hydrometeorol 4:1147–1167CrossRefGoogle Scholar
  2. Dinku T, Ceccato P, Grover-Kopec E, Lemma M, Connor SJ, Ropelewski CF (2007) Validation of satellite rainfall products over East Africa’s complex topography. Int J Rem Sens 28(7):1503–1526CrossRefGoogle Scholar
  3. Dinku T, Chidzambwa S, Ceccato P, Connor SJ, Ropelewski CF (2008a) Validation of high-resolution satellite rainfall products over complex terrain in Africa. Int J Rem Sens 29(14):4097–4110CrossRefGoogle Scholar
  4. Dinku T, Connor SJ, Ceccato P, Ropelewski CF (2008b) Intercomparison of global gridded rainfall products over complex terrain in Africa. Int J Climatol 28:1627–1638CrossRefGoogle Scholar
  5. Fuchs T, Schneider U, Rudolf B (2007) Global precipitation analysis products of the GPCC. Available online at. gpcc.dwd.deGoogle Scholar
  6. Gruber A, Levizzani V (2008) Assessment of global precipitation products, WMO/TD-NO. 1430. Available online at. http://www.isao.bo.cnr.it/~meteosat/papers/AssessmentGlobalPrecipitation-2008.pdf
  7. Herman A, Kumar VB, Arkin PA, Kousky JV (1997) Objectively determined 10-day African rainfall estimates created for famine early warning. Int J Rem Sens 18(10):2147–2159CrossRefGoogle Scholar
  8. Huffman GH, Adler RF, Arkin PA, Chang A, Ferraro R, Gruber G, Janowiak J, McNab A, Rudolf B, Schneider U (1997) The global precipitation climatology project (GPCP) combined precipitation data set. Bull Am Meteorol Soc 78:5–20CrossRefGoogle Scholar
  9. Huffman GJ, Adler RF, Bolvin DT, Gu G, Nelkin EJ, Bowman KP, Hong Y, Stocker EF, Wolf DB (2007) The TRMM multisatellite precipitation analysis (TMPA): quasi-global, multiyear, combined-sensor precipitation estimates at fine scales. J Hydrometeorol 8:38–55CrossRefGoogle Scholar
  10. Huffman GJ, Adler RF, Bolvin DT, Gul G (2009) Improving the global precipitation record: GPCP Version 2.1. Geophys Res Lett 36:L17808CrossRefGoogle Scholar
  11. Joyce RJ, Janowiak JE, Arkin PA, Xie P (2004) CMORPH: a method that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution. J Hydrometeorol 5:487–503CrossRefGoogle Scholar
  12. Levizzani V, Amorati R, Meneguzzo F (2002) A review of satellite-based rainfall estimation methods, Consiglio Nazionale delle Ricerche Istituto di Scienze dell’Atmosfera e del Clima. Available online at. http://www.isao.bo.cnr.it/~meteosat/papers/MUSIC-Rep-Sat-Precip-6.1.pdf
  13. Levizzani V, Bauer P, Turk JF (eds) (2007) Measuring precipitation from space: EURAINSAT and the Future. Springer, Netherlands, 724ppGoogle Scholar
  14. Mitchell TD, Jones PD (2005) An improved method of constructing a database of monthly climate observations and associated high-resolution grids. Int J Climatol 25:693–712. DOI:10.1002/joc.1181CrossRefGoogle Scholar
  15. Schneider U, Fuchs T, Meyer-Christoffer A, Rudolf B (2008) Global precipitation analysis products. Available at. gpcc.dwd.deGoogle Scholar
  16. Wilks DS (2006) statistical methods in the atmospheric sciences. Academic Press, Burlington (USA) 627ppGoogle Scholar
  17. Willmott CJ, Robeson SM (1995) Climatologically aided interpolation (CAI) of terrestrial air temperature. Int J Climatol 15(2):221–229CrossRefGoogle Scholar
  18. Xie P, Arkin PA (1997) Global precipitation: a 17-year monthly analysis based on gauge observations, satellite estimates, and numerical model outputs. Bull Am Meteorol Soc 78:2539–2558CrossRefGoogle Scholar
  19. Xie P, Arkin PA, Janowiak JE (2007) CMAP: the CPC merged analysis of precipitation. In: Levizzani et al (eds) Measuring precipitation from space. Springer, Netherlands, 724ppGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  1. 1.International Research Institute for Climate and Society, The Earth Institute at Columbia UniversityNew YorkUSA

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