Spatial and temporal characteristics of rainfall in Africa: Summary statistics for temporal downscaling

Water Resources Research

Volumn 51, Issue 4, 2015, Pages 2668-2679

  Kaptué, Armel T ^a   Hanan, Niall P ^a   Prihodko, Lara ^a   Ramirez, Jorge A ^b  

^a SOUTH DAKOTA STATE UNIVERSITY   (United States)

^b Engineering Research Center and Hydraulics Laboratory   (United States)

Author keywords

downscaling; gamma distribution; rainfall statistics; transition propabilities

Indexed keywords

PRECIPITATION (METEOROLOGY); PROBABILITY DENSITY FUNCTION; RAIN GAGES; STATISTICS;

DOWN-SCALING; GAMMA DISTRIBUTION; LAND SURFACE MODELING; RAINFALL CHARACTERISTICS; RAINFALL STATISTICS; TEMPORAL CHARACTERISTICS; TRANSITION PROPABILITIES; TROPICAL RAINFALL MEASURING MISSIONS;

RAIN;

BIOGEOCHEMICAL CYCLE; DOWNSCALING; LAND SURFACE; PRECIPITATION INTENSITY; REGIONAL CLIMATE; SPATIOTEMPORAL ANALYSIS; TEMPORAL PERIOD; TRMM;

AFRICA;

EID: 85027945256     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/2014WR015918     Document Type: Article

References (62)

1. Adler, R. F., et al., (2003), The version-2 Global Precipitation Climatology Project (GPCP) monthly precipitation analysis (1979-present), J. Hydrometeorol., 4, 1147-1167.
2. Becker, E. J., E. H. Berbery, and, R. W. Higgins, (2009), Understanding the characteristics of daily precipitation over the United States using the North American Regional Analysis, J. Clim., 22, 6268-6286.
3. Blöschl, G., (2005), Statistical upscaling and downscaling in hydrology, in Encyclopedia of Hydrological Sciences, edited by, M. G. Anderson, pp. 135-154, John Wiley, Chichester, U. K.
4. Boone, A., et al., (2009), The AMMA land surface model intercomparison project (ALMIP), Bull. Am. Meteorol. Soc., 90, 1865-1880.
5. Coe, R., and, R. D. Stern, (1984), Fitting models to daily rainfall data, J. Appl. Meteorol., 21, 1024-1031.
6. Cooper, P. J. M., J. Dimes, K. P. C. Rao, B. Shapiro, B. Shiferaw, and, S. Twomlow, (2008), Copping better with current climate variability in the rain-fed farming systems of sub-Saharan Africa: An essential first step to future climate change?, Agric. Ecosyst. Environ., 126, 24-35.
7. Dai, A., (2006), Precipitation characteristics in eighteen coupled climate models, J. Clim., 19, 4605-4630.
8. de Wit, M., and, J. Stankiewiciz, (2006), Changes in surface water supply across Africa with predicted climate change, Science, 311, 1917-1921.
9. Dunkerley, D., (2008), Rain event properties in nature and in rainfall simulation experiments: A comparative review with recommendations for increasingly systematic study and reporting, Hydrol. Processes, 22, 4415-4435.
10. Eagleson, P. S., (1978), Climate, soil and vegetation. 2. Distribution of annual precipitation derived from observed storm sequences, Water Resour. Res., 14, 713-721.
11. Fekete, B. M., and, C. J. Vörösmarty, (2004), Uncertainties in precipitation and their impact on runoff estimates, J. Clim., 17, 294-304.
12. Fowler, H. J., S. Blenkinsop, and, C. Tebaldi, (2007), Linking climate change modeling to impacts studies: Recent advances in downscaling techniques for hydrological modlling, Int. J. Climatol., 27, 1547-1578.
13. Frappart, F., et al., (2009), Rainfall regime accross the Sahel band in the Gourma region, Mali, J. Hydrol., 375, 128-142.
14. Gabriel, K. R., and, J. Neumann, (1962), A Markov chain model for daily rainfall occurrence at Tel Aviv, Q. J. R. Meteorol. Soc., 88, 90-95.
15. Good, S. P., and, K. K. Caylor, (2011), Climatogical determinants of woody cover in Africa, Proc. Natl. Acad. Sci. U. S. A., 108, 4902-4907.
16. Groisman, P. Y., et al., (1999), Changes in the probability of heavy precipitation: Important indicators of climatic change, Climatic Change, 42, 243-283.
17. Haile, A. T., T. H. M. Reintjes, E. Habib, V. Jetten, and, M. Gebremichael, (2011), Rain event properties at the source of the Blue Nile River, Hydrol. Earth Syst. Sci., 15, 1023-1034.
18. Harris, I., P. D. Jones, T. J. Osborn, and, D. H. Lister, (2013), Updated high-resolution grids of monthly climatic observations-The CRU TS3.10 dataset, Int. J. Climatol., 34, 623-642.
19. 2 forces abrupt vegetation shifts locally but not globally, Nature, 488, 209-213.
20. Huffman, G. J., et al., (2007), The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-global, multiyear, combined-sensor precipitation estimates at fine scales, J. Hydrometeorol., 8, 38-55.
21. Husak, G. J., J. Michaelsen, and, C. Funk, (2007), Use of the gamma distribution to represent monthly rainfall in Africa for drought monitoring applications, Int. J. Climatol., 7, 935-944.
22. 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 (9), 2353-2376.
23. Kang, B., and, J. A. Ramirez, (2010), A coupled stochastic space-time intermittent random cascade model for rainfall downscaling, Water Resour. Res., 46, W10534, doi: 10.1029/2008WR007692.
24. Kaptué, A. T., S. M. de Jong, J.-L. Roujean, C. Favier, and, C. Mering, (2011), Ecosystem mapping at the African continental scale using a hybrid clustering approach based on 1-km resolution multi-annual data from SPOT/VEGETATION, Remote Sens. Environ., 115, 452-464.
25. Kaptué, A. T., N. P. Hanan, and, P. Lara, (2013), Characterization of the spatial and temporal variability of surface water in the Soudan-sahel region of Africa, J. Geophys. Res. Biogeosci., 118, 1472-1483, doi: 10.1002/jgrg.20121.
26. Katz, R. W., (1977), Precipitation as a chain-dependant process, J. Appl. Meteorol., 16, 671-676.
27. Kruger, A. C., (2006), Observed trends in daily precipitation indices in South Africa: 1910-2004, Int. J. Climatol., 26, 2275-2285.
28. Kusumastuti, D. I., I. Struthers, M. Sivapalan, and, D. A. Reynolds, (2007), Threshold effects in catchment storm response and the occurrence and magnitude of flood events: Implications for flood frequency, Hydrol. Earth Syst. Sci., 11, 1515-1528.
29. Lal, R., (1995), Global soil erosion by water and carbon dynamics, in Soils and Global Change, edited by, R. Lal, et al., pp. 131-141, CRC Press, Boca Raton, Fla.
30. Lebel, T., and, A. Ali, (2009), Recent trends in the Central and Western Sahel rainfall regime (1990-2007), J. Hydrol., 375, 52-64.
31. Liebmann, B., I. Bladé, G. N. Kiladis, L. M. V. Carvalho, G. B. Senay, D. Allured, S. Leroux, and, C. Funck, (2012), Seasonality of African precipitation from 1996 to 2009, J. Clim., 25, 4304-4322.
32. Meyer-Christoffer, A., A. Becker, P. Finger, B. Rudolf, U. Schneider, and, M. Ziese, (2011), GPCC Climatology Version 2011 at 0.25°: Monthly land-surface precipitation climatology for every month and the total year from rain-gauges built on GTS-based and historic data, doi: 10.5676/DWD-GPCC/CLIM-M-V2011-025.
33. Naumann, G., P. Barbosa, H. Carrao, A. Singleton, and, J. Vogt, (2012), Monitoring drought conditions and their uncertainties in Africa using TRMM data, J. Appl. Meteorol. Clim., 51, 1867-1874.
34. New, M., et al., (2006), Evidence of trends in daily climate extremes over southern and west Africa, J. Geophys. Res., 111, D14102, doi: 10.1029/2005JD006289.
35. Ngongondo, C., C.-Y. Xu, L. Gottschalk, and, B. Alemaw, (2011), Evaluation of spatial and temporal characteristics of rainfall in Malawi: A case of data scarce region, Theor. Appl. Climatol., 160, 79-93.
36. Nicholson, S. E., et al., (2003), Validation of TRMM and other rainfall estimates with a high-density gauge dataset for West Africa. Part II: Validation of TRMM rainfall products, J. Appl. Meteorol., 42, 1355-1368.
37. Novella, N. S., and, W. M. Thiaw, (2013), African rainfall climatology version 2 for early warning systems, J. Appl. Meteorol. Climatol., 52, 588-606.
38. Osborn, T. J., and, M. Hulme, (2002), Evidence for trends in heavy rainfall events over the UK, Philos. Trans. R. Soc. London A, 360, 1-13.
39. Panorska, A. K., A. Gershunov, and, T. J. Koyubowski, (2007), From diversity to volatility: Probability of daily precipitation extremes, in Nonlinear Dynamics in Geosciences, edited by, A. Tsonis, and, J. Elsner, pp. 465-484, Springer, N. Y.
40. Pierre, C., G. Bergametti, B. Marticorena, E. Mougin, T. Lebel, and, A. Ali, (2011), Pluriannual comparisons of satellite-based rainfall products over the Sahelian belt for seasonal vegetation modeling, J. Geophys. Res., 116, D18201, doi: 10.1029/2011JD016115.
41. Prudhomme, C., N. Reynard, and, S. Crooks, (2002), Downscaling of global climate models for flood frequency, Hydrol. Processes, 16, 1137-1150.
42. R Development Core Team (2011), R: A Language and Environment for Statistical Computing, R Found. for Stat. Comput., Vienna. [Available at http://www.R-project.org/.]
43. Ramirez-Cobo, P., X. Marzo, A. V. Olivares-Nadal, J. A. Francos, E. Carrizosa, and, M. F. Pita, (2014), The Markovian arrival process: A statistical model for daily precipitation amounts, J. Hydrol., 510, 459-471.
44. Rao, C., A. D. Lopez, and, Y. Hemed, (2006), Causes of death, in Disease and Mortality in Sub-Saharan Africa, edited by, D. T. Jamison, et al., pp. 43-58, World Bank, Washington, D. C.
45. Ratan, R., and, V. Venugopal, (2013), Wet and dry spells characteristics of global tropical rainfall, Water Resour. Res., 49, 3830-3841, doi: 10.1002/wrcr.20275.
46. Reiser, H., and, H. Kutiel, (2009), Rainfall uncertainty in the Mediterranean: Definitions of the daily rainfall threshold (DRT) and the rainy season length (RSL), Theor. Appl. Climatol., 97, 151-162.
47. Sankaran, M., et al., (2005), Determinants of woody cover in African savannas, Nature, 438, 846-849.
48. Sun, Y., S. Solomon, A. Dai, and, R. W. Portman, (2006), How often does it rain, J. Clim., 19, 916-934.
49. Sylla, M. B., F. Giorgi, E. Coppola, and, L. Mariotti, (2013), Uncertainties in daily rainfall over Africa: Assessment of gridded observation products and evaluation of a regional climate model simulation, Int. J. Climatol., 33, 1805-1817.
50. Symeonakis, E., and, N. Drake, (2010), 10-daily soil erosion modeling over sub-saharan Africa, Environ. Monit. Assess., 161, 369-387.
51. Tarnavsky, E., M. Mulligan, and, G. Husak, (2012), Spatial disaggregation and intensity correction of TRMM-based rainfall time series for hydrological applications in dryland catchments, Hydrol. Sci. J., 57, 248-264.
52. Trenberth, K. E., et al., (2007), Observations: Surface and atmospheric climate change, in Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, edited by, S. Solomon, et al., pp. 235-336, Cambridge Univ. Press, Cambridge, U. K.
53. Thom, H. C. S., (1958), A note on the gamma distribution, Mon. Weather Rev., 86, 117-122.
54. Vrieling, A., (2006), Satellite remote sensing for water erosion assessment: A review, Catena, 65, 2-18.
55. Wang, D., G. Wang, and, E. N. Anagnostou, (2005), Use of satellite-based precipitation observation in improving the parametrization of canopy hydrological processess in land surface models, J. Hydrometeorol., 6, 745-763.
56. Wei, W., L. Chen, and, B. Fu, (2009), Effects of rainfall change on water erosion processes in terrestrial ecosystems: A review, Prog. Phys. Geogr., 33, 307-318.
57. Williams, C. A., N. Hanan, R. J. Scholes, and, W. Kutsch, (2009), Complexity in water and carbon dioxide fluxes following rain pulses in an African savanna, Oecologia, 161, 469-480.
58. Wilks, D. S., (2011), Statistical Methods in the Atmospheric Sciences, 3rd ed., 676 pp. Elsevier, Amsterdam.
59. Wilks, D. S., and, R. L. Wilby, (1999), The weather generation game: A review of stochastic weather models, Prog. Phys. Geogr., 23, 329-357.
60. Yamana, T. K., and, E. A. B. Eltahir, (2011), On the use of satellite-based estimates of rainfall temporal distribution to simulate to simulate the potential for malaria transmission in rural Africa, Water Resour. Res., 47, W02540, doi: 10.1029/2010WR009744.
61. Yang, S., and, S. W. Nesbitt, (2014), Statistical properties of precipitation as observed by the TRMM precipitation radar, Geophys. Res. Lett., 41, 5636-5643, doi: 10.1002/2014GL060683.
62. Zipser, E., C. Liu, D. Cecil, S. Nesbitt, and, D. Yorty, (2006), Where are the most intense thunderstorms on Earth?, Bull. Am. Meteorol. Soc., 87, 1057-1071.