Assessment of a multidimensional satellite rainfall error model for ensemble generation of satellite rainfall data

IEEE Geoscience and Remote Sensing Letters

Volumn 3, Issue 3, 2006, Pages 419-423

  Hossain, Faisal ^a   Anagnostou, Emmanouil N ^b  

^a Tennessee Technological University   (United States)

^b UNIVERSITY OF CONNECTICUT   (United States)

Author keywords

Ensemble satellite rainfall generation; Global energy; Infrared (IR); Inverse model; Multidimensional error structure; Passive microwave (PMW); Scale; Water cycle

Indexed keywords

ALGORITHMS; ERROR ANALYSIS; MATHEMATICAL MODELS; RAIN; SATELLITES;

ENSEMBLE SATELLITE RAINFALL GENERATION; GLOBAL ENERGY; INVERSE MODEL; MULTIDIMENSIONAL ERROR STRUCTURE; PASSIVE MICROWAVE (PMW); SCALE; WATER CYCLE;

REMOTE SENSING;

EID: 33746582801     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2006.873686     Document Type: Article

References (29)

1. P. A. Arkin and B. N. Meisner, "The relationship between large-scale convective rainfall and cold cloud cover Western Hemisphere during 1982-1984," Mon. Weather Rev., vol. 115, no. 1, pp. 51-74, 1987.
2. I. Astin, "A survey of studies into errors in large scale space-time averages of rainfall, cloud cover, sea surface processes and the earth's radiation budget as derived from low orbit satellite instruments because of their incomplete temporal and spatial coverage," Surv. Geophys., vol. 18, no. 4, pp. 385-403, Jul. 1997.
3. E. N. Anagnostou, "Overview of overland satellite rainfall estimation for hydro-meteorological applications," Surv. Geophys., vol. 25, no. 5-6, pp. 511-537, 2004.
4. _, "Assessment of satellite rain retrieval error propagation in the prediction of land surface hydrologic variables," in Measuring Precipitation From Space: EURAINSAT and the Future, V. Levizzani, P. Bauer, and F. J. Turk, Eds. Norwell, MA: Kluwer, 2005.
5. E. E. Ebert, "Ability of a poor man's ensemble to predict the probability and distribution of precipitation," Mon. Weather Rev., vol. 129, no. 10, pp. 2461-2480, 2001. (Corrigendum on vol. 130, pp. 1661-1663).
6. R. A. Fulton, J. P. Breidenbach, D.-J. Seo, D. A. Miller, and T. O'Bannon, "The WSR-88D rainfall algorithm," Weather Forecast., vol. 13, no. 2, pp. 377-395, 1998.
7. M. Gebremichael and W. Krajewski, "Characterization of temporal sampling error in space-time-averaged rainfall estimates from satellites," J. Geophys. Res. - Atmos., vol. 109, no. D11, D11110, 2004.
8. G. C. Griffith, W. L. Woodley, and P. G. Grube, "Rain estimation from geosynchronous satellite imagery-visible and infrared studies," Mon. Weather Rev., vol. 106, no. 8, pp. 1153-1171, 1978.
9. F. Hossain and E. N. Anagnostou, "Assessment of current passive microwave and infrared based satellite rainfall remote sensing for flood prediction," J. Geophys. Res. - Atmos., vol. 109, no. D7, D07102, 2004.
10. _, "A two-dimensional satellite rainfall error model," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 6, pp. 1511-1522, Jun. 2006.
11. _, "Numerical investigation of the impact of uncertainties in satellite rainfall and land surface parameters on simulation of soil moisture," Adv. Water Resour., vol. 28, no. 12, pp. 1336-1350, 2005.
12. _, "Using a multi-dimensional satellite rainfall error model to characterize uncertainty in soil moisture fields simulated by an offline land surface model," Geophys. Res. Lett., vol. 32, no. 15, L15402, 2005, DOI: 10.1029/2005GL023122.
13. G. J. Huffman, R. F. Adler, and M. M. Morrissey et al., "Global precipitation at one-degree daily resolution from multisatellite observations," J. Hydrometeorol., vol. 2, no. 1, pp. 36-50, 2001.
14. G. J. Huffman, R. F. Adler, E. F. Stocker, E. J. Bolvin, and E. J. Nelkin, "Analysis of TRMM 3-hourly multi-satellite precipitation estimates computed in both real and post-real time," in Proc. 12th Conf. Satell. Meteorol. Oceanogr., Long Beach, CA, Feb. 9-13, 2003, vol. 2, p. 4.11.
15. G. J. Huffman, R. F. Adler, D. T. Bolvin, and E. J. Nelkin, "The status of the multi-satellite precipitation analysis and insights gained from adding new data sources," in Proc. 2nd Int. Precipitation Working Group Workshop, Monterey, CA, Oct. 25-28, 2004, pp. 123-127.
16. S. V. Kumar, C. D. Peters-Lidard, Y. Tian, J. Geiger, P. R. Houser, S. Olden, L. Lighty, J. L. Eastman, P. Dirmeyer, B. Doty, J. Adams, E. Wood, and J. Sheffield, "Land information system: An interoperable framework for high resolution land surface modeling," Environ. Model. Softw., 2005. In press, DOI: 10.1016/j.envsoft.2005.07.2004.
17. H. Moradkhani, K.-L. Hsu, H. Gupta, and S. Sorooshian, "Uncertainty assessment of hydrologic model states and parameters: Sequential data assimilation using the particle filter," Water Resour. Res., vol. 41, no. 5, W05012, 2005, DOI: 10.1029/2004WR003604.
18. A. J. Negri and R. F. Adler, "An inter-comparison of three satellite rainfall techniques over Japan and surrounding waters," J. Appl. Meteorol., vol. 32, pp. 357-373, 1993.
19. B. Nijssen and D. P. Lettenmaier, "Effect of precipitation sampling error on simulated hydrological fluxes and states: Anticipating the global precipitation measurement satellites," J. Geophys. Res., vol. 109, no. D2, D02103, 2004.
20. M. Roddell, P. R. Houser, U. Jambor, J. Gottschalck, K. Mitchell, C.-J. Meng, K. Arsenault, B. Cosgrove, J. Radakovich, M. Bosilovich, J. K. Entin, J. P. Walker, D. Lohmann, and D. Toll, "The global land data assimilation system," Bull. Amer. Meteorol. Soc., vol. 85, no. 3, pp. 381-394, 2004.
21. D.-J. Seo, J. P. Breidenbach, and R. Fulton et al., "Real-time adjustment of range-dependent biases in WSR-88D rainfall estimates due to non-uniform vertical profile of reflectivity," J. Hydrometeorol., vol. 1, no. 3, pp. 222-240, 2000.
22. D.-J. Seo, J. P. Breidenbach, and E. R. Johnson, "Real-time estimation of mean field bias in radar rainfall data," J. Hydrol., vol. 223, no. 3/4, pp. 131-147, 1999.
23. E. Smith et al., "The international global precipitation measurement (GPM) program and mission: An overview," in Measuring Precipitation From Space: EURAINSAT and the Future, V. Levizzani and F. J. Turk, Eds. Norwell, MA: Kluwer, 2004.
24. M. Steiner, T. L. Bell, Y. Zhang, and E. F. Wood, "Comparison of two methods for estimating the sampling-related uncertainty of satellite rainfall averages based on a large radar dataset." J. Climate, vol. 16, no. 22, pp. 3759-3778, 2003.
25. M. Steiner, "Uncertainty in estimates of monthly areal rainfall for temporally sparse remote observations," Water Resour. Res., vol. 32, no. 2, pp. 373-388, 1996.
26. B. Tutsison, D. Harris, and E. Foufoula-Georgiou, "Scale issues in verification of precipitation forecasts," J. Geophys. Res. - Atmos., vol. 106, no. D11, pp. 11 775-11 784, 2002.
27. B. Tutsison, E. Foufoula-Georgiou, and D. Harris, "Scale-recursive estimation for multi-sensor quantitative precipitation forecast verification," J. Geophys. Res. - Atmos., vol. 108, no. D8, 8377, 2002, DOI: 10.1029/2001JDOO10735.
28. V. Venugopal, S. Basu, and E. Foufoula-Georgiou, "A new metric for comparing precipitation patterns with an application to ensemble forecasts," J. Geophys. Res. - Atmos., vol. 110, no. D8, D08111, 2005, DOI: 10.1029/2004JD0053945.
29. J. P. Walker and P. Houser, "Requirements of a global near-surface soil moisture satellite mission: Accuracy, repeat time, and spatial resolution," Adv. Water Resour., vol. 27, no. 8, pp. 785-801, Aug. 2004.