Articles | Volume 17, issue 6
https://doi.org/10.5194/hess-17-2161-2013
https://doi.org/10.5194/hess-17-2161-2013
Research article
 | 
07 Jun 2013
Research article |  | 07 Jun 2013

Determining spatial variability of dry spells: a Markov-based method, applied to the Makanya catchment, Tanzania

B. M. C. Fischer, M. L. Mul, and H. H. G. Savenije

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Cited articles

Barron, J., Rockström, J., Gichuki, F., and Hatibu, N.: Dry spell analysis and maize yields for two semi-arid locations in East Africa, Agr. Forest Meteorol., 117, 23–37, https://doi.org/10.1016/S0168-1923(03)00037-6, 2003.
Biamah, E. K., Sterk, G., and Sharma, T. C.: Analysis of agricultural drought in Iiuni, Eastern Kenya: Application of a Markov model, Hydrol. Process., 19, 1307–1322, https://doi.org/10.1002/hyp.5556, 2005.
De Groen, M. M.: Modelling interception and transpiration at monthly time steps; introducing daily variability through Markov chains, PhD thesis Delft University of Technology, The Netherlands, 2002.
De Groen, M. M. and Savenije, H. H. G.: A monthly interception equation based on the statistical characteristics of daily rainfall, Water Resour. Res., 42, W12417,https://doi.org/10.1029/2006WR005013, 2006.
Deni, S. M., Jemain, A. A., and Ibrahim, K.: The spatial distribution of wet and dry spells over Peninsular Malaysia, Theor. Appl. Climatol., 94, 163–173, https://doi.org/10.1007/s00704-007-0355-8, 2008.
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