Advances in the stochastic modeling of satellite-derived rainfall estimates using a sparse calibration dataset

Journal of Hydrometeorology

Volumn 15, Issue 5, 2014, Pages 1810-1831

  Greatrex, Helen ^a,b   Grimes, David ^a   Wheeler, Tim ^a  

^a UNIVERSITY OF READING   (United Kingdom)

^b Lamont Campus   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CALIBRATION; DATA SET; PRECIPITATION ASSESSMENT; RAINFALL; SATELLITE DATA; STOCHASTICITY; UPLAND REGION;

ETHIOPIA;

EID: 84907477343     PISSN: 1525755X     EISSN: 15257541     Source Type: Journal    
DOI: 10.1175/JHM-D-13-0145.1     Document Type: Article

References (54)

1. Ali, A., A. Amani, A. Diedhiou, and T. Lebel, 2005: Rainfall estimation in the Sahel. Part II: Evaluation of rain gauge networks in the CILSS countries and objective intercomparison of rainfall products. J. Appl. Meteor., 44, 1707-1722, doi:10.1175/JAM2305.1.
2. Bacchi, B., and N. T. Kottegoda, 1995: Identification and calibration of spatial correlation patterns of rainfall. J. Hydrol., 165, 311-348, doi:10.1016/0022-1694(94)02590-8.
3. Barancourt, C., J. D. Creutin, and J. Rivoirard, 1992: A method for delineating and estimating rainfall fields. Water Resour. Res., 28, 1133-1144, doi:10.1029/91WR02896.
4. Bellerby, T. J., and J. Sun, 2005: Probabilistic and ensemble representations of the uncertainty in an IR/microwave satellite precipitation product. J. Hydrometeor., 6, 1032-1044, doi:10.1175/JHM454.1.
5. Birhanu, S., and T. Alamirew, 2008: Rainfall intensity-duration-frequency analysis for selected parts of eastern Oromia. Proc. Workshop on Hydrology and Ecology of the Nile River Basin under Extreme Conditions, Addis Ababa, Ethiopia, National Science Foundation, 290. [Available online at http://www2.fiu. edu/;melessea/Nile%20Workshop%20Proceedings_%20June%2016-19,%202008.pdf.]
6. Bouvier, C., L. Cisneros, R. Dominguez, J.-P. Laborde, and T. Lebel, 2003: Generating rainfall fields using principal components (PC) decomposition of the covariance matrix: a case study in Mexico City. J. Hydrol., 278, 107-120, doi:10.1016/S0022-1694(03)00122-7.
7. Carroll, R. J., and D. Ruppert, 1988: Transformation and Weighting Regression. Chapman and Hall, 249 pp.
8. Cole, A. E., and A. J. Kantor, 1963: Tropical and sub-tropical atmospheres. J. Appl. Meteor., 2, 90-98, doi:10.1175/1520-0450(1963)002<0090:TASA>2.0.CO;2.
9. Davis, M., 1987: Production of conditional simulations via the LU triangular decomposition of the covariance matrix. Math. Geol., 19, 91-98, doi:10.1007/BF00898189.
10. Delhomme, J. P., 1978: Kriging in hydrosciences. Water Resour., 1, 251-266, doi:10.1016/0309-1708(78)90039-8.
11. De Michele, C., and P. Bernardara, 2005: Spectral analysis and modeling of space-time rainfall fields. Atmos. Res., 77, 124-136, doi:10.1016/j.atmosres.2004.10.031.
12. Deutsch, C. V., and A. G. Journel, 1998: GSLIB: Geostatistical Software Library and User's Guide. Oxford University Press, 384 pp.
13. de Wit, A. J. W., and C. A. van Diepen, 2008: Crop growth modelling and crop yield forecasting using satellite-derivedmeteorological inputs. Int. J. Appl. Earth Obs. Geoinf., 10, 414-425, doi:10.1016/j.jag.2007.10.004.
14. de Wit, A. J. W., S. de Bruin, and P. J. J. F. Torfs, 2008: Representing uncertainty in continental-scale gridded precipitation fields for agrometeorological modeling. J. Hydrometeor., 9, 1172-1190, doi:10.1175/2008JHM899.1.
15. 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, doi:10.1080/01431160600954688.
16. Dinku, T., S. Chidzambwa, P. Ceccato, S. J. Connor, and C. F. Ropelewski, 2008: Validation of high-resolution satellite rainfall products over complex terrain. Int. J. Remote Sens., 29, 4097-4110, doi:10.1080/01431160701772526.
17. Dinku, T., and Coauthors, 2009: Designing index-based weather insurance for farmers in Adi-Ha, Ethiopia. IRI Tech. Rep. 09-04, 82 pp. [Available online at http://iri.columbia.edu/resources/publications/pub_id/908/.]
18. Dinku, T., K. Hailemariam, R. Maidment, E. Tarnavsky, and S. Connor, 2013: Combined use of satellite estimates and rain gauge observations to generate high-quality historical rainfall time series over Ethiopia. Int. J. Climatol., 34, 2489-2504, doi:10.1002/joc.3855.
19. Diro, G. T., E. Black, and D. I. F. Grimes, 2008: Seasonal forecasting of Ethiopian spring rains. Meteor. Appl., 15, 73-83, doi:10.1002/met.63.
20. Diro, G. T., D. I. F. Grimes, and E. Black, 2011a: Teleconnections between Ethiopian summer rainfall and sea surface temperature: Part I-Observation and modelling. Climate Dyn., 37, 103-119, doi:10.1007/s00382-010-0837-8.
21. Diro, G. T., D. I. F. Grimes, and E. Black, 2011b: Teleconnections between Ethiopian summer rainfall and sea surface temperature: Part II. Seasonal forecasting. Climate Dyn., 37, 121-131, doi:10.1007/s00382-010-0896-x.
22. Germann, U., M. Berenguer, D. Sempere-Torres, and M. Zappa, 2009: REAL-Ensemble radar precipitation estimation for hydrology in a mountainous region. Quart. J. Roy. Meteor. Soc., 135, 445-456, doi:10.1002/qj.375.
23. Gissila, T., E. Black, D. I. F. Grimes, and J. M. Slingo, 2004: Seasonal forecasting of the Ethiopian summer rains. Int. J. Climatol., 24, 1345-1358, doi:10.1002/joc.1078.
24. Greatrex, H., 2012: The application of seasonal rainfall forecasts and satellite rainfall estimates to seasonal crop yield forecasting for Africa. Ph.D. thesis, University of Reading, 320 pp. [Available online at http://ethos.bl.uk/OrderDetails.do?uin5 uk.bl.ethos.578012.]
25. Grimes, D. I. F., 2008: An ensemble approach to uncertainty estimation for satellite-based rainfall estimates. Hydrological Modelling and the Water Cycle, S. Sorooshian et al., Eds., Water Science and Technology Library, Vol. 63, Springer, 145-162, doi:10.1007/978-3-540-77843-1_7.
26. Grimes, D. I. F., and E. Pardo-Igúzquiza, 2010: Geostatistical analysis of rainfall. Geogr. Anal., 42, 136-160, doi:10.1111/j.1538-4632.2010.00787.x.
27. Grimes, D. I. F., E. Pardo-Igúzquiza, and R. Bonifacio, 1999: Optimal areal rainfall estimation using raingauges and satellite data. J. Hydrol., 222, 93-108, doi:10.1016/S0022-1694(99)00092-X.
28. Grimes, D. I. F., E. Coppola, M. Verdecchia, and G. Visconti, 2003: A neural network approach to real-time rainfall estimation for Africa using satellite data. J. Hydrometeor., 4, 1119-1133, doi:10.1175/1525-7541(2003)004<1119:ANNATR>2.0.CO;2.
29. Haberlandt, U., and C. Gattke, 2004: Spatial interpolation vs. simulation of precipitation for rainfall-runoff modelling-A case study in the Lippe River basin. Hydrology Science and Practice for the 21st Century, Vol. 1, B. Webb et al., Eds., British Hydrological Society, 120-127.
30. Hellmuth, M. E., D. E. Osgood, U. Hess, A. Moorhead, and H. Bhojwani, 2009: Index insurance and climate risk: Prospects for development and disaster management. Climate and Society No. 2, IRI Rep., Columbia University, 122 pp.
31. Herman, A., V. B. Kumar, P. A. Arkin, and J. V. Kousky, 1997: Objectively determined 10-day African rainfall estimates created for famine early warning. Int. J. Remote Sens., 18, 2147-2159, doi:10.1080/014311697217800.
32. Huffman, G. J., and Coauthors, 2007: The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-global, multiyear, combined-sensor precipitation estimates at fine scales. J. Hydrometeor., 8, 38-55, doi:10.1175/JHM560.1.
33. Ines, A. V. M., and J. W. Hansen, 2006: Bias correction of daily GCM rainfall for crop simulation studies. Agric. For. Meteor., 138, 44-53, doi:10.1016/j.agrformet.2006.03.009.
34. Jobard, I., F. Chopin, J. C. Berges, and R. Roca, 2011: An intercomparison of 10-day satellite precipitation products during West African monsoon. Int. J. Remote Sens., 32, 2353-2376, doi:10.1080/01431161003698286.
35. 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, doi:10.1175/1525-7541(2004)005<0487:CAMTPG>2.0.CO;2.
36. Lebel, T., and L. Le Barbé, 1997: Rainfall monitoring during HAPEXSahel: 2. Point and areal estimation at the event and seasonal scales. J. Hydrol., 188-189, 97-122, doi:10.1016/S0022-1694(96)03325-2.
37. Lebel, T., G. Bastin, C. Obled, and J. D. Creutin, 1987: On the accuracy of areal rainfall estimation: A case study. Water Resour. Res., 23, 2123-2134, doi:10.1029/WR023i011p02123.
38. Maidment, R. I., 2014: Development and exploitation of a 30-year African rainfall climatology and time-series. Ph.D. thesis, University of Reading, 234 pp.
39. Maidment, R. I., D. I. F. Grimes, R. P. Allan, H. Greatrex, O. Rojas, and O. Leo, 2012: Evaluation of satellite-based and model reanalysis rainfall estimates for Uganda. Meteor. Appl., 20, 308-317, doi:10.1002/met.1283.
40. Novella, N. S., and W.M. Thiaw, 2013: African Rainfall Climatology version 2 for famine early warning systems. J. Appl. Meteor. Climatol, 52, 588-606, doi:10.1175/JAMC-D-11-0238.1.
41. Oxfam America, 2014: R4 Rural Resilience Initiative: Quarterly report, January-March 2014. Oxfam Rep., 24 pp. [Available online at http://www.oxfamamerica.org/static/media/files/R4_Rural_Resilience:Initative_January_to_March_2014_WEB.pdf.]
42. Parameswaran, K., and Coauthors, 2000: Altitude profiles of temperature from 4 to 80 km over the tropics from MST radar and lidar. J. Atmos. Sol.-Terr. Phys., 62, 1327-1337, doi:10.1016/S1364-6826(00)00124-3.
43. Pardo-Igúzquiza, E., 1998: Optimal selection of number and location of rainfall gauges for areal rainfall estimation using geostatistics and simulated annealing. J. Hydrol., 210, 206-220, doi:10.1016/S0022-1694(98)00188-7.
44. Roca, R., P. Chambon, I. Jobard, P.-E. Kirstetter, M. Gosset, and J. C. Bergès, 2010: Comparing satellite and surface rainfall products over West Africa at meteorologically relevant scales during the AMMA campaign using error estimates. J. Appl. Meteor. Climatol., 49, 715-731, doi:10.1175/2009JAMC2318.1.
45. Rosema, A., M. De Weirdt, and S. Foppes, 2010: METEOSAT based agrometeorological monitoring and crop yield forecasting using the energy and water balance monitoring system. Workshop Proceedings: Remote Sensing to Support Crop Yield Forecasts and Area Estimates, ISPRS, 117-122.
46. Skinner, C. J., 2013: Ensemble-characterisation of satellite rainfall uncertainty and its impacts on the hydrological modelling of a sparsely gauged basin in western Africa. Ph.D. thesis, University of Hull, 338 pp. [Available online at https://hydra.hull.ac.uk/assets/hull:7199a/content.]
47. 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. Amer. Meteor. Soc., 81, 2035-2046, doi:10.1175/1520-0477(2000)081<2035:EOPSSE>2.3.CO;2.
48. Syngenta, cited 2014: The Kalimo Salama Project. [Available online at www.syngentafoundation.org/index.cfm?pageID5562.]
49. Teo, C., and D. I. F. Grimes, 2007: Stochastic modelling of rainfall from satellite data. J. Hydrol., 346, 33-50, doi:10.1016/j.jhydrol.2007.08.014.
50. Thiemig, V., R. Rojas, M. Zambrano-Bigiarini, V. Levizzani, and A. De Roo, 2012: Validation of satellite-based precipitation products over sparsely gauged African river basins. J. Hydrometeor., 13, 1760-1783, doi:10.1175/JHM-D-12-032.1.
51. 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, doi:10.1080/01431160118816.
52. Thornton, P. K., W. T. Bowen, A. C. Ravelo, P. W. Wilkens, G. Farmer, J. Brock, and J. E. Brink, 1997: Estimating millet production for famine early warning: An application of crop simulation modelling using satellite and ground-based data in Burkina Faso. Agric. For. Meteor., 83, 95-112, doi:10.1016/S0168-1923(96)02348-9.
53. Tompson, A. F. B., R. Ababou, and L. W. Gelhar, 1989: Implementation of the three-dimensional turning bands random field generator. Water Resour. Res., 25, 2227-2243, doi:10.1029/WR025i010p02227.
54. Velpuri, N. M., G. B. Senay, J. Rowland, J. P. Verdin, and H. Alemu, 2014: Africa-wide monitoring of small surface water bodies using multisource satellite data: A monitoring system for FEWS NET. Nile River Basin, A. M. Melesse, W. Abtew, and S. G. Setegn, Eds., Springer, 69-95.