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Evaluation of Satellite Rainfall Estimates Over Ethiopian River Basins : Volume 15, Issue 5 (19/05/2011)

By Romilly, T. G.

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Book Id: WPLBN0003974753
Format Type: PDF Article :
File Size: Pages 10
Reproduction Date: 2015

Title: Evaluation of Satellite Rainfall Estimates Over Ethiopian River Basins : Volume 15, Issue 5 (19/05/2011)  
Author: Romilly, T. G.
Volume: Vol. 15, Issue 5
Language: English
Subject: Science, Hydrology, Earth
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2011
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

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Romilly, T. G., & Gebremichael, M. (2011). Evaluation of Satellite Rainfall Estimates Over Ethiopian River Basins : Volume 15, Issue 5 (19/05/2011). Retrieved from http://hawaiilibrary.net/


Description
Description: Civil & Environmental Engineering, University of Connecticut, CT, USA. High resolution satellite-based rainfall estimates (SREs) have enormous potential for use in hydrological applications, particularly in the developing world as an alternative to conventional rain gauges which are typically sparse. In this study, three SREs have been evaluated against collocated rain gauge measurements in Ethiopia across six river basins that represent different rainfall regimes and topography. The comparison is made using five-year (2003–2007) averages, and results are stratified by river basin, elevation and season. The SREs considered are: the Climate Prediction Center morphing method (CMORPH), Precipitation Estimation from Remotely Sensed Information Using Neural Networks (PERSIANN) and the real-time version of the Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) 3B42RT. Overall, the microwave-based products TMPA 3B42RT and CMORPH outperform the infrared-based product PERSIANN: PERSIANN tends to underestimate rainfall by 43 %, while CMORPH tends to underestimate by 11 % and TMPA 3B42RT tends to overestimate by 5 %. The bias in the satellite rainfall estimates depends on the rainfall regime, and, in some regimes, the elevation. In the northwest region, which is characterized mainly by highland topography, a humid climate and a strong Intertropical Convergence Zone (ITCZ) effect, elevation has a strong influence on the accuracy of the SREs: TMPA 3B42RT and CMORPH tend to overestimate at low elevations but give reasonably accurate results at high elevations, whereas PERSIANN gives reasonably accurate values at low elevations but underestimates at high elevations. In the southeast region, which is characterized mainly by lowland topography, a semi-arid climate and southerly winds, elevation does not have a significant influence on the accuracy of the SREs, and all the SREs underestimate rainfall across almost all elevations.

Summary
Evaluation of satellite rainfall estimates over Ethiopian river basins

Excerpt
Awulachew, S. B., Yilma, A. D., Loulseged, M., Loiskandl, W., Ayana, M., and Alamirew, T.: Water Resources and Irrigation Development in Ethiopia, Colombo, Sri Lanka: International Water Management Institute, 2007.; Bitew, M. M. and Gebremichael M.: Evaluation Through Independent Measurements: Complex Terrain and Humid Tropical Region in Ethiopia, in: Satellite Rainfall Applications for Surface Hydrology, edited by: Gebremichael, M. and Hossain, F., Springer Science+Business Media B.V., 2009.; Dinku, T., Chidzambwa, S., Ceccato, P., Connor, S. J., and Ropelewski, C. F.: Validation of high-resolution satellite rainfall products over complex terrain, Int. J. Remote Sens., 29(14), 4097–4110, doi:10.1080/01431160701772526, 2008.; Dinku, T., Connor, S. J., and Ceccato, P.:Comparison of CMORPH and TRMM-3B42 over Mountainous Regions of Africa and South America, in: Satellite Rainfall Applications for Surface Hydrology, edited by: Gebremichael, M. and Hossaim, F., 193–204. Springer Science+Business Media B.V., 2010.; Ethiopian Meteorological Agency, (EMA), Monthly Rain Gauge Data (2003 to 2007), Addis Ababa, Ethiopia, 2003–2007.; Gebremichael, M., Krajewski, W. F., Morrissey, M., Huffman, G., and Adler, R.: A detailed evaluation of GPCP one-degree daily rainfall estimates over the Mississippi River Basin, J. Appl. Meteorol., 44(5), 665–681, 2005.; Gottschalck, J., Meng, J., Rodell, M., and Houser, P.: Analysis of Multiple Precipitation Products and Preliminary Assessment of Their Impact on Global Land Data Assimilation System Land Surface States, J. Hydrometeorol., 6(5), 573–598, 2005.; Hirpa, F. A., Gebremichael, M., and Hopson, T.: Evaluation of High Resolution Satellite Precipitation Products over Very Complex Terrain in Ethiopia, J. Appl. Meteorol. Clim. – IPWG Special Collection, 49(5), 1044–1051, doi:10.1175/2009JAMC2298.1, 2010.; Hong, Y., Gochis, D., Cheng, J., Hsu, K., and Sorooshian, S.: Evaluation of PERSIANN-CCS Rainfall Measurement Using the NAME Event Rain Gauge Network, Journal of Hydrometeorology, 8(3), 469–482, doi:10.1175/JHM574.1, 2007.; Hsu, K., Gao, X., Sorooshian, S., and Gupta, H. V.: Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks, J. Appl. Meteorol., 36(9), 1176–1190, 1997.; Huffman, G. J., Adler, R. F., Bolvin, D. T., Gu, G., Nelkin, E. J., Bowman, K. P., Hong, Y., Stocker, E. F., and Wolff, D. B.: The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-Global, Multiyear, Combined-Sensor Precipitation Estimates at Fine Scales, J. Hydromteorol., 8(1), 38–55, doi:10.1175/JHM560.1, 2007.; Joyce, R. J., Janowiak, J. E., Arkin, P. A., and Xie, P.: CMORPH: A Method that Produces Global Precipitation Estimates from Passive Microwave and Infrared Data at High Spatial and Temporal Resolution, J. Hydrometeorol., 5(3), 487–503, 2004.; Kummerow, C., Olson, W. S., and Giglio, L.: A Simplified Scheme for Obtaining Precipitation and Vertical Hydrometeor Profiles from Passive Microwave Sensors, IEEE T. Geosci. Remote, 34(5), 1213–1232, doi:10.1109/36.536538, 1996; Nesbitt, S. W., Gochis, D. J., and Lang, T. J.: The Diurnal Cycle of Clouds and Precipitation along the Sierra Madre Occidental Observed during NAME-2004: Implications for Warm Season Precipitation Estimation in Complex Terrain, J. Hydrometeorol., 9(4), 728–743, doi:10.1175/2008JHM939.1, 2008.; Olson, W. S., Kummerow, C. D., Hong, Y., and Tao, W. K.: Atmospheric Latent Heating Distributions in the Tropics Derived from Satellite Passive Microwave Radiometer Measurements, J. Appl. Meteorol., 38(6), 633–664, 1999.; Segele, Z. T., Lamb, P. J., and Leslie

 

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