Climatology-Focused evaluation of CMORPH and TMPA satellite rainfall products over the Nile Basin

Journal of Applied Meteorology and Climatology

Volumn 51, Issue 12, 2012, Pages 2105-2121

  Habib, Emad ^a   Elsaadani, Mohamed ^a   Haile, Alemseged Tamiru ^a  

^a University of Louisiana at Lafayette   (United States)

Author keywords

Climatology; Rainfall; Satellite observations

Indexed keywords

ANNUAL RAINFALL; CLIMATE PREDICTION CENTERS; COMPLEX TOPOGRAPHIES; EASTERN AFRICA; EQUATORIAL REGIONS; HYDROLOGIC APPLICATIONS; LARGE RIVERS; MORPHING TECHNIQUES; OPERATIONAL UTILITY; RAINFALL CHARACTERISTICS; RAINFALL PATTERNS; SATELLITE OBSERVATIONS; SEASONAL RAINFALL; SURFACE MONITORING; TWO-PRODUCT;

ALGORITHMS; CLIMATOLOGY; GAGES; RAIN GAGES; SATELLITES; SOIL MOISTURE;

RAIN;

ALGORITHM; ANNUAL VARIATION; CLIMATOLOGY; RAINFALL; REMOTE SENSING; SATELLITE DATA; SEASONAL VARIATION; TOPOGRAPHY;

ETHIOPIAN HIGHLANDS; NILE BASIN;

EID: 84872154455     PISSN: 15588424     EISSN: 15588432     Source Type: Journal    
DOI: 10.1175/JAMC-D-11-0252.1     Document Type: Article

References (46)

1. Adler, R. F., and A. J. Negri, 1988 Asatellite infrared technique to estimate tropical convective and stratiform rainfall. J. Appl. Meteor., 27, 30-51.
2. Arkin, P. A., and B. N. Meisner, 1987 The relationship between large-scale convective rainfall and cold cloud over the Western Hemisphere during 1982-1984. Mon. Wea. Rev., 115, 51-74.
3. Artan, G., H. Gadain, J. Smith, K. Asante, C. J. Bandaragoda, and J. Verdin, 2007 Adequacy of satellite derived rainfall data for streamflow modeling. Nat. Hazards, 43, 167-185.
4. Bellerby, T., M. Todd, D. Kniveton, and C. Kidd, 2000 Rainfall estimation from a combination of TRMM precipitation radar and GOES multispectral satellite imagery through the use of an artificial neural network. J. Appl. Meteor., 39, 2115-2128.
5. Bitew, M. M., and M. Gebremichael, 2010 Evaluation through independent measurements: Complex terrain and humid tropical region in Ethiopia. Satellite Rainfall Applications for Surface Hydrology, M. Gebremichael and F. Hossain, Eds., Springer-Verlag, 205-214.
6. Camberlin, P., 2009 Nile basin climates. The Nile: Origin, Environments, Limnology and Human Use, H. J. Dumont, Ed., Monographiae Biologicae, Springer, 307-333.
7. Dinku, T., P. Ceccato, E. Grover-Kopec, M. Lemma, S. J. Connor, and C. F. Ropelewski, 2007 Validation of satellite rainfall products over East Africa's complex topography. Int. J. Remote Sens., 28, 1503-1526.
8. Dinku, T, S. J. Connor, P. Ceccato, and C. F. Ropelewski, 2008 Intercomparison of global gridded rainfall products over complex terrain in Africa. Int. J. Climatol., 28, 1627-1638.
9. Dinku, T, S. J. Connor, and P. Ceccato, 2010 Comparison of CMORPH and TRMM-3B42 over mountainous regions of Africa and South America. Satellite Rainfall Applications for Surface Hydrology, M. Gebremichael and F. Hossaim, Eds., Springer-Verlag, 193-204.
10. Ebert, E. E., J. E. Janowiak, and C.Kidd, 2007 Comparison of nearreal-time precipitation estimates from satellite observations and numerical models. Bull. Amer. Meteor. Soc., 88, 47-64.
11. Ekman, A. M. L., C. Wang, J. Wilson, and J. Strom, 2004 Explicit simulations of aerosol physics in a cloud-resolving model: A sensitivity study based on an observed convective cloud. Atmos. Chem. Phys., 4, 773-791.
12. Gebremichael, M., W. F. Krajewski, M. L. Morrissey, G. J. Huffman, and R. F. Adler, 2005 A detailed evaluation of GPCP 18 daily rainfall estimates over the Mississippi River basin. J. Appl. Meteor., 44, 665-681.
13. Habib, E., A. Henschke, and R. F. Adler, 2009 Evaluation of TMPA satellite-based research and real-time rainfall estimates during six tropical-related heavy rainfall events over Louisiana, USA. Atmos. Res., 94, 373-388.
14. Hirpa, F. A., M. Gebremichael, and T. Hopson, 2010 Evaluation of high-resolution satellite precipitation products over very complex terrain in Ethiopia. J. Appl. Meteor. Climatol., 49, 1044-1051.
15. Hong, Y., K. Hsu, H. Moradkhani, and S. Sorooshian, 2006 Uncertainty quantification of satellite precipitation estimation and Monte Carlo assessment of the error propagation into hydrologic response. WaterResour.Res., 42, W08421, doi:10.1029/ 2005WR004398.
16. Hossain, F., and E. N. Anagnostou, 2004 Assessment of current passive-microwave and infrared-based satellite rainfall remote sensing for flood prediction. J. Geophys. Res., 109 D07102, doi:10.1029/2003JD003986.
17. Hossain, F, and G. J. Huffman, 2008 Investigating error metrics for satellite rainfall at hydrologically relevant scales. J. Hydrometeor., 9, 563-575.
18. Huffman, G. J., and Coauthors, 1997 The Global Precipitation Climatology Project (GPCP) combined precipitation dataset. Bull. Amer. Meteor. Soc., 78, 5-20.
19. Huffman, G. J, R. Adler, D. Bolvin, G. Gu, E. Nelkin, K. Bowman, E. Stocker, and D. Wolff, 2007 The TRMM Multi-satellite Precipitation Analysis: Quasi-global, multi-year, combinedsensor precipitation estimates at fine scale. J. Hydrometeor., 8, 38-55.
20. Joyce, R. J., and P. Xie, 2011 Kalman filter-based CMORPH. J. Hydrometeor., 12, 1547-1563.
21. Joyce, R. J, J. E. Janowiak, P. A. Arkin, and P. Xie, 2004 CMORPH: A method that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution. J. Hydrometeor., 5, 487-503.
22. Kidd, C., D. R. Kniveton, M. C. Todd, and T. Bellerby, 2003 Satellite rainfall estimation using combined passive microwave and infrared algorithms. J. Hydrometeor., 4, 1088-1104.
23. Kummerow, C., and Coauthors, 2001 The evolution of the Goddard profiling algorithm (GPROF) for rainfall estimation from passive microwave sensors. J. Appl. Meteor., 40, 1801-1820.
24. Liu, C., E. J. Zipser, and S. W. Nesbitt, 2007 Global distribution of tropical deep convection: Different perspective from TRMM infrared and radar data. J. Climate, 20, 489-503.
25. McCollum, J. R., A. Gruber, and M. B. Ba, 2000 Discrepancy between gauges and satellite estimates of rainfall in equatorial Africa. J. Appl. Meteor., 39, 666-679.
26. McCollum, J. R, W. F. Krajewski, R. R. Ferraro, and M. B. Ba, 2002 Evaluation of biases of satellite rainfall estimation algorithms over the continental United States. J. Appl. Meteor., 41, 1065-1080.
27. Nesbitt, S. W., E. J. Zipser, and C. D. Kummerow, 2004 An examination of version-5 rainfall estimates from the TRMM Microwave Imager, precipitation radar, and rain gauges on global, regional, and storm scales. J. Appl. Meteor., 43, 1016-1036.
28. Nesbitt, S. W, D. J. Gochis, and T. J. Lang, 2008 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. Hydrometeor., 9, 728-743.
29. New, M., D. Lister, M. Hulme, and I. Makin, 2002 A highresolution data set of surface climate over global land areas. Climate Res., 21, 1-25.
30. Nicholson, S. E., and Coauthors, 2003 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. J. Appl. Meteor., 42, 1337-1354.
31. Parker, D., E. Good, and R. Chadwick, 2011 Reviews of observational data available over Africa for monitoring, attribution and forecast evaluation. Hadley Centre Tech. Note 86, 63 pp. [Available online at www.metoffice.gov.uk/media/pdf/b/o/ HCTN_86_revised.pdf.]
32. Petersen, W. A., and S. A. Rutledge, 2001 Regional variability in tropical convection: Observations fromTRMM. J. Climate, 14, 3566-3586.
33. Peterson, T. C., R. Vose, R. Schmoyer, and V. Razuvaev, 1997 Global Historical Climatology Network (GHCN) quality control of monthly temperature data. Int. J. Climatol., 18, 1169-1180.
34. Romilly, T. G., and M. Gebremichael, 2011 Evaluation of satellite rainfall estimates over Ethiopian river basins. Hydrol. Earth Syst. Sci., 15, 1505-1514.
35. Rudolf, B., 1993 Management and analysis of precipitation data on a routine basis. Proceedings of the International Symposium on Precipitation and Evaporation, B. Sevruk and M. Lapin, Eds., Vol. 1, Slovak Hydrometeorology Institution, 69-76.
36. Shahin, M., 1985 Hydrology of the Nile Basin. Developments in Water Science, Vol. 21, Elsevier, 575 pp.
37. Sorooshian, S., K. Hsu, X. Gao, H. V. Gupta, B. Imam, and D. Braithwaite, 2000 Evaluation of PERSIANN system satellitebased estimates of tropical rainfall. Bull. Amer. Meteor. Soc., 81, 2035-2046.
38. Sutcliffe, J. V., and Y. P. Parks, 1999 The Hydrology of the Nile. IAHS Special Publ. 5, International Association of Hydrological Sciences, Wallingford, United Kingdom, 179 pp.
39. Tesfagiorgis, K., S. E.Mahani, N.Y.Krakauer, andR.Khanbilvardi, 2011 Bias correction of satellite rainfall estimates using a radar-gauge product-A case study in Oklahoma (USA). Hydrol. Earth Syst. Sci., 15, 2631-2647.
40. Thorne, V., P. Coakeley, D. Grimes, and G. Dugdale, 2001 Comparison of TAMSAT and CPC rainfall estimates with raingauges, for southern Africa. Int. J. Remote Sens., 22, 1951-1974.
41. Tian, Y., C. D. Peters-Lidard, B. J. Choudhury, and M. Garcia, 2007 Multitemporal analysis of TRMM-based satellite precipitation products for land data assimilation applications. J. Hydrometeor., 8, 1165-1183.
42. Tian, Y., C. D. Peters-Lidard, and J. B. Eylander, 2010 Real-time bias reduction for satellite-based precipitation estimates. J. Hydrometeor., 11, 1275-1285.
43. Turk, F. J., and S. D. Miller, 2005 Toward improving estimates of remotely-sensed precipitation with MODIS/AMSR-E blended data techniques. IEEE Trans. Geosci. Remote Sens., 43, 1059-1069.
44. Vose, R. S., R. L. Schmoyer, P. M. Steurer, T. C. Peterson, R.Heim, T. R. Karl, and J. Eischeid, 1992 The Global Historical Climatology Network: Long-term monthly temperature, precipitation, sea level pressure, and station pressure data. ORNL/CDIAC-53, NDP-041, 325 pp. [Available from Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, P.O. Box 2008, Oak Ridge, TN 37831.]
45. Yin, X., and S. E. Nicholson, 1998 The water balance of Lake Victoria. J. Hydrol. Sci., 43, 789-811.
46. Zipser, E. J., D. J. Cecil, C. Liu, S. W. Nesbitt, and D. P. Yorty, 2006 Where are the most intense thunderstorms on Earth? Bull. Amer. Meteor. Soc., 87, 1057-1071.