Evaluation and bias correction of satellite rainfall data for drought monitoring in Indonesia

Hydrology and Earth System Sciences

Volumn 16, Issue 1, 2012, Pages 133-146

  Vernimmen, R R E ^a   Hooijer, A ^a   Mamenun, ^b   Aldrian, E ^b   Van Dijk, A I J M ^c  

^a DELTARES   (Netherlands)

^b Meteorological Climatological and Geophysical Agency of Indonesia (BMKG)   (Indonesia)

^c CSIRO   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ANNUAL RAINFALL; BIAS CORRECTION; COST EFFICIENCY; DROUGHT CONDITIONS; DROUGHT MONITORING; DRY SEASONS; GRID CELLS; GROUND STATIONS; INDONESIA; PERSIANN; RAINFALL DATA; RAINFALL ESTIMATES; ROOT MEAN SQUARE ERRORS; SATELLITE RAINFALL DATA; SPACE AND TIME; SPATIAL COVERAGE;

DROUGHT; ESTIMATION; GROUND STATE; MEAN SQUARE ERROR; SATELLITES; SOIL MOISTURE;

RAIN;

ACCURACY ASSESSMENT; CORRECTION; COST-BENEFIT ANALYSIS; DATA SET; DROUGHT; ERROR ANALYSIS; GROUND-BASED MEASUREMENT; MONITORING SYSTEM; RAINFALL; SATELLITE DATA;

INDONESIA;

EID: 84855802088     PISSN: 10275606     EISSN: 16077938     Source Type: Journal    
DOI: 10.5194/hess-16-133-2012     Document Type: Article

References (33)

1. Aldrian, E. and Djamil, Y. S.: Spatio-temporal climatic change of rainfall in East Java Indonesia, Int. J. Climatol., 28, 435-448, 2008. (Pubitemid 351454599)
2. Aldrian, E. and Susanto, R. D.: Identification of three dominant rainfall regions within Indonesia and their relationship to sea surface temperature, Int. J. Climatol., 23, 1435-1452, 2003. (Pubitemid 37358583)
3. Behrangi, A., Khakbaz, B., Jaw, T. C., AghaKouchak, A., Hsu, K., and Sorooshian, S.: Hydrologic evaluation of satellite precipitation products over a mid-size basin, J. Hydrol., 397, 225-237, 2011.
4. Brünig, E. F.: On the seasonality of droughts in the lowlands of Sarawak (Borneo), Erdkunde, 23, 127-133, 1969.
5. Crow, W. T. and Ryu, D.: A new data assimilation approach for improving runoff prediction using remotely-sensed soil moisture retrievals, Hydrol. Earth Syst. Sci., 13, 1-16, doi:10.5194/hess-13-1-2009, 2009.
6. Curtis, S., Crawford, T. W., and Lecce, S. A.: A comparison of TRMM to other basin-scale estimates of rainfall during the 1999 Hurricane Floyd flood. Nat. Hazards, 43, 187-198, 2007. (Pubitemid 47555148)
7. Ebert, E. E., Janowiak, J. E., and Kidd, C.: Comparison of nearreal-time precipitation estimates from satellite observations and numerical models, B. Am. Meteorol. Soc., 88, 47-64, 2007. (Pubitemid 46351194)
8. ESA: GlobCover Land Cover v2.2, European Space Agency Glob-Cover Project, led by MEDIAS-France, available at: http://ionia1.esrin.esa.int/index.asp, last access: 25 August 2009, 2008.
9. Field, R. D., Wang, Y., Roswintiarti, O., and Guswanto: A droughtbased predictor of recent haze events in western Indonesia, Atmos. Environ., 38, 1869-1878, 2004. (Pubitemid 38402026)
10. Franchito, S. H., Rao, V. B., Vasques, A. C., Santo, C. M. E., and Conforte, J. C.: Validation of TRMM precipitation radar monthly rainfall estimates over Brazil, J. Geophys. Res., 114, D02105, doi:10.1029/2007JD009580, 2009.
11. Fylstra, D., Lasdon, L., Watson, J., and Waren, A.: Design and use of the Microsoft Excel solver, Interfaces, 28, 29-55, 1998.
12. Hirpa, F. A., Gebremichael, M., and Hopson, T.: Evaluation of high-resolution satellite precipitation products over very complex terrain in Ethiopia, J. Appl. Meteorol. Climatol., 49, 1044-1051, 2010.
13. Hsu, K., Gao, X., Sorooshian, S., and Gupta, H. V.: Precipitation estimation from remotely sensed information using artificial neural networks, J. Appl. Meteorol., 36, 1176-1190, 1997.
14. Huffman, G. J. and Bolvin, D. T.: Real-Time TRMM Multi-Satellite Precipitation Analysis data set documentation, laboratory for atmospheres, NASA Goddard space flight center and science systems and applications, Inc., 2010, available at: ftp://meso-a.gsfc. nasa.gov/pub/trmmdocs/rt/3B4XRT doc.pdf, last access: February 2011, 2010.
15. 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. Hydrometeorol., 8, 38-55, 2007. (Pubitemid 46444451)
16. Jarvis, A., Reuter, H. I., Nelson, A., and Guevara, E.: Holefilled seamless SRTM data V4, International Centre for Tropical Agriculture (CIAT), available at: http://srtm.csi.cgiar.org, last access: 3 July 2008, 2008.
17. 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, 487-503, 2004. (Pubitemid 38978529)
18. Katsanos, D., Lagouvardos, K., Kotroni, V., and Huffmann, G. J.: Statistical evaluation of MPA-RT high-resolution precipitation estimates from satellite platforms over the central and eastern Mediterranean, Geophys. Res. Lett., 31, L06116, doi:10.1029/2003GL019142, 2004.
19. Klein Tank, A. M. G. and Coauthors:. Daily dataset for climate extremes analyses in Southeast Asia, in preparation, Data and metadata available at: http://saca-bmkg.knmi.nl, last access: 22 March 2011, 2011.
20. Kirono, D. G. C. and Tapper, N. J.: ENSO rainfall variability and impacts on crop production in Indonesia, Phys. Geogr., 20, 508-519, 1999. (Pubitemid 30432643)
21. Naylor, R. L., Falcon, W. P., Rochberg, D., and Wada, N.: Using El Nino/Southern Oscillation climate data to predict rice production in Indonesia, Climatic Change, 50, 255-265, 2001. (Pubitemid 32665119)
22. Oldeman, L. R., Las, I., and Darwis, S. N.: An agroclimatic map of Sumatra, Contributions, Central Research Institute for Agriculture, Bogor, No. 52, 35 pp., 1979.
23. Oldeman, L. R., Las, I., and Muladi: The agroclimatic maps of Kalimantan, Maluku, Irian Jaya and Bali, West and East Nusa Tenggara, Contributions, Central Research Institute for Agriculture, Bogor, No. 60, 32 pp., 1980.
24. Romilly, T. G. and Gebremichael, M.: Evaluation of satellite rainfall estimates over Ethiopian river basins, Hydrol. Earth Syst. Sci., 15, 1505-1514, doi:10.5194/hess-15-1505-2011, 2011.
25. Sapiano, M. R. P. and Arkin, P. A.: An intercomparison and validation of high-resolution satellite precipitation estimates with 3-hourly gauge data, J. Hydrometeorol., 10, 149-166, doi:10.1175/2008JHM1052.1, 2009.
26. Scheel, M. L. M., Rohrer, M., Huggel, Ch., Santos Villar, D., Silvestre, E., and Huffman, G. J.: Evaluation of TRMM Multi-satellite Precipitation Analysis (TMPA) performance in the Central Andes region and its dependency on spatial and temporal resolution, Hydrol. Earth Syst. Sci., 15, 2649-2663, doi:10.5194/hess-15-2649-2011, 2011.
27. Sheffield, J., Wood, E. F., Lettenmaier, D. P., and Lipponen, A.: Experimental Drought Monitoring for Africa, GEWEX News, 8, 2008.
28. Sorooshian, S., Hsu, K., Gao, X., Gupta, H. V., Imam, B., and Braithwaite, D.: Evaluation of PERSIANN system satellitebased estimates of tropical rainfall, B. Am. Meteorol. Soc., 81, 2035-2046, 2000.
29. Smith, E., Asrar, G., Furuhama, Y., et al.: International Global Precipitation Measurement (GPM) Program and Mission: An Overview, in: Measuring Precipitation From Space, edited by: Levizzani, V., Bauer, P., and Turk, F. J., Springer Netherlands, 611-653, 2007.
30. Su, F., Hong, Y., and Lettenmaier, D.: Evaluation of TRMM Multi-Satellite Precipitation Analysis (TMPA) and its utility in hydrologic prediction in La Plata Basin, J. Hydrometeorol., 9, 622-640, 2008.
31. van Dijk, A. I. J. M. and Renzullo, L. J.: Water resource monitoring systems and the role of satellite observations, Hydrol. Earth Syst. Sci., 15, 39-55, doi:10.5194/hess-15-39-2011, 2011.
32. Villarini, G. and Krajewski, W. F.: Evaluation of the research version TMPA three-hourly 0.25-×0.25-rainfall estimates over Oklahoma, Geophys. Res. Lett., 34, L05402, doi:10.1029/2006GL029147, 2007. (Pubitemid 46864507)
33. Wyrtki, K.: The rainfall over the Indonesian waters, Verhandelingen, Kementrian Perhubungan Lembaga Meteorologi dan Geofisika, Jakarta, No. 49, 24 pp., 1956.