Nonparametric error model for a high resolution satellite rainfall product

Water Resources Research

Volumn 47, Issue 7, 2011, Pages

  Gebremichael, Mekonnen ^a   Liao, Gong Yi ^a   Yan, Jun ^a  

^a UNIVERSITY OF CONNECTICUT   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONDITIONAL DISTRIBUTION; CONTINUOUS DISTRIBUTION; ERROR DISTRIBUTIONS; ERROR MODEL; GROUND BASED RADAR; HIGH QUALITY; HIGH RESOLUTION; HIGH RESOLUTION SATELLITES; MODELING APPROACH; NON-PARAMETRIC; NON-PARAMETRIC MODEL; POINT MASS; RADAR RAINFALL; RAINFALL ESTIMATES; RAINFALL-RUNOFF MODELING;

ESTIMATION; GAGES; RADAR; RUNOFF; SATELLITES; SOIL MOISTURE; UNCERTAINTY ANALYSIS;

RAIN;

ERROR ANALYSIS; GROUND-BASED MEASUREMENT; MODEL VALIDATION; RADAR; RAINFALL-RUNOFF MODELING; RAINGAUGE; SPECTRAL RESOLUTION; UNCERTAINTY ANALYSIS;

UNITED STATES;

EID: 79960057071     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2010WR009667     Document Type: Article

References (33)

1. Bell, T. L., and P. K. Kundu (2000), Dependence of satellite sampling error on monthly averaged rain rates: Comparison of simple models and recent studies, J. Clim., 13, 449-462. (Pubitemid 30195132)
2. Bell, T. L., A. Abdullah, R. L. Martin, and G. R. North (1990), Sampling errors for satellite-derived tropical rainfall: Monte Carlo study using a space-time stochastic model, J. Geophys. Res., 95, 2195-2205, doi:10.1029/JD095iD03p02195.
3. Bitew, M. M., M. Gebremichael, F. A. Hirpa, Y. Michael, Y. Seleshi, and Y. Girma (2009), On the local-scale spatial variability of daily rainfall in the highlands of the Blue Nile: Observational evidence, Hydrol. Processes, 23(26), 3670-3674, doi:10.1002/hyp.7468.
4. Fulton, R. A., J. P. Breidenbach, D.-J. Seo, D. A. Miller, and T. OBannon (1998), The WSR-88D rainfall algorithm, Weather Forecasting, 13, 377-395. (Pubitemid 29120690)
5. Gebremichael, M., and W. F. Krajewski (2004), Characterization of the temporal sampling error in space-time averaged rainfall estimates from satellites, J. Geophys. Res., 109, D11110, doi:10.1029/2004JD004509. (Pubitemid 39103540)
6. Gebremichael, M., and W. F. Krajewski (2005a), Effect of temporal sampling error on inferred rainfall spatial statistics, J. Appl. Meteorol., 44(10), 1626-1633. (Pubitemid 41694300)
7. Gebremichael, M., and W. F. Krajewski (2005b), Modeling distribution of temporal sampling errors in area-time-averaged rainfall estimates, Atmos. Res., 73(3-4), 243-259.
8. Gebremichael, M., and W. F. Krajewski (2007), Application of copulas to modeling temporal sampling errors in satellite-derived rainfall estimates, J. Hydrol. Eng., 12(4), 404-408. (Pubitemid 47023286)
9. Gebremichael, M., W. F. Krajewski, M. Morrissey, D. Langerud, G. Huffman, and R. Adler (2003), Error uncertainty analysis of GPCP monthly rainfall products: A data-based simulation study, J. Appl. Meteorol., 42(12), 1837-1848. (Pubitemid 38127155)
10. Gebremichael, M.,W. F. Krajewski, M. Morrissey, G. Huffman, and R. Adler (2005), A detailed evaluation of GPCP one-degree daily rainfall estimates over theMississippi River Basin, J. Appl. Meteorol., 44(5), 665-681. (Pubitemid 41030145)
11. Gebremichael, M., T. M. Over, and W. F. Krajewski (2006), Comparison of the scaling characteristics of rainfall derived from space-based and ground-based radar observations, J. Hydrometeorol., 7(6), 1277-1294. (Pubitemid 46111236)
12. Gilks, W. R., N. G. Best, and K. K. C. Tan (1995), Adaptive rejection metropolis sampling within Gibbs sampling, Appl. Stat., 44, 455-472.
13. Hirpa, F. A., M. Gebremichael, and T. Hopson (2010), Evaluation of highresolution satellite precipitation products over very complex terrain in Ethiopia, J. Appl. Meteorol. Clim., 49, 1044-1051, doi:10.1175/2009JAMC2298.1.
14. Hong, Y., K. L. Hsu, S. Sorooshian, and X. Gao (2004), Precipitation estimation from remotely sensed imagery using an artificial neural network cloud classification system, J. Appl. Meteorol., 43(12), 1834-1852. (Pubitemid 40191256)
15. Hong, Y., K. L. Hsu, H. Moradkhani, and S. Sorooshian (2006), Uncertainty quantification of satellite precipitation estimation and Monte Carlo assessment of the error propagation into hydrologic response, Water Resour. Res., 42, W08421, doi:10.1029/2005WR004398.
16. Hong, Y., D. Gochis, J. Cheng, K. Hsu, and S. Sorooshian (2007), Evaluation of PERSIANN-CCS rainfall measurement using the NAME event rain gauge network, J. Hydrometeorol., 8(3), 469-482, doi:10.1175/JHM574.1. (Pubitemid 47091131)
17. Hossain, F., and E. N. Anagnostou (2006), A two-dimensional satellite rainfall error model, IEEE Trans. Geosci. Remote Sens., 44(6), 1511-1522. (Pubitemid 43824498)
18. Hyndman, R. J., D. M. Bashtannyk, and G. K. Grunwald (1996), Estimating and visualizing conditional densities, J. Comput. Graphical Stat., 5, 315-336. (Pubitemid 126312701)
19. Joyce, R. J., J. E. Janowiak, P. A. Arkin, and P. Xie (2004), CMORPH: A method that produces global precipitation estimation from passive microwave and infrared data at high spatial and temporal resolution, J. Hydrometeorol., 5, 487-503. (Pubitemid 38978529)
20. Kuczera, G., D. Kavetski, S. Franks, and M. Thyer (2006), Towards a Bayesian total error analysis of conceptual rainfall-runoff models: Characterising model error using storm-dependent parameters, J. Hydrol., 331, 161-177. (Pubitemid 44646456)
21. Moradkhani, H., and T. T. Meskele (2010), Probabilistic assessment of the satellite rainfall retrieval error translation to hydrologic response, in Satellite Rainfall Applications for Surface Hydrology, edited by M. Gebremichael and F. Hossain, Springer, New York.
22. Moradkhani, H., K. Hsu, Y. Hong, and S. Sorooshian (2006), Investigating the impact of remotely sensed precipitation and hydrologic model uncertainties on the ensemble streamflow forecasting, Geophys. Res. Lett., 33, L12401, doi:10.1029/2006GL026855. (Pubitemid 44687708)
23. 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. Hydrometeorol., 9(4), 728-743, doi:10.1175/2008JHM939.1.
24. Nijssen, B., and D. P. Lettenmaier (2004), Effect of precipitation sampling error on simulated hydrological fluxes and states: Anticipating the Global Precipitation Measurement satellites, J. Geophys. Res., 109(2), D02103, doi:10.1029/2003JD003497.
25. North, G. R., S. S. P. Shen, and R. Upson (1993), Sampling errors in rainfall estimates by multiple satellites, J. Appl. Meteorol., 32, 399-410. (Pubitemid 23381909)
26. Oki, R., and A. Sumi (1994), Sampling simulation of TRMMrainfall estimation using radar-AMeDAS composites, J. Appl. Meteorol., 33, 1597-1608.
27. Peel, M. C., B. L. Finlayson, and T. A. McMahon (2007), Updated world map of the Köppen-Geiger climate classification, Hydrol. Earth Syst. Sci., 11, 1633-1644. (Pubitemid 47581348)
28. Sorooshian, S., K. L. Hsu, X. Gao, H. V. Gupta, B. Imam, and D. Braithwaite (2000), Evaluation of PERSIANN system satellite-based estimates of tropical rainfall, Bull. Am. Meteorol. Soc., 81, 2035-2046.
29. Steiner, M., T. L. Bell, Y. Zhang, and E. F. Wood (2003), Comparison of two methods for estimating the sampling-related uncertainty of satellite rainfall averages based on a large radar dataset, J. Clim., 16, 3759-3778. (Pubitemid 38070238)
30. Wilheit, T. T. (1988), Error analysis for the Tropical Rainfall Measuring Mission (TRMM), in Tropical Rainfall Measurements, edited by J. S. Theon and N. Fugono, pp. 377-385, A. Deepak, Hampton, Va.
31. Yan, J., and M. Gebremichael (2009), Estimating actual rainfall from satellite rainfall products, Atmos. Res., 92(4), 481-488, doi:10.1016/j. atmosres.2009.02.004.
32. Zeweldi, D. A., and M. Gebremichael (2009a), Evaluation of CMORPH precipitation products at fine space-time scales, J. Hydrometeorol., 10(1), 300-307, doi:10.1175/2008JHM1041.1.
33. Zeweldi, D. A., and M. Gebremichael (2009b), Sub-daily scale validation of satellite-based high-resolution rainfall products, Atmos. Res., 92(4), 427-433, doi:10.1016/j.atmosres.2009.01.001.