Analysing Daily Rainfall Measurements to Give Agronomically Useful Results. II. A Modelling Approach
- 1 January 1982
- journal article
- research article
- Published by Cambridge University Press (CUP) in Experimental Agriculture
- Vol. 18 (3), 237-253
- https://doi.org/10.1017/s0014479700013806
Abstract
SUMMARY A probabilistic model of daily rainfall can be used to derive results of potential value to agriculture. A simple example shows how this model works, but more realistic models are also fitted, using standard statistical computer packages, and examples of the results are presented graphically. The modelling approach is compared and contrasted with direct methods of analysing daily rainfall.Keywords
This publication has 12 references indexed in Scilit:
- The use of rainfall models in agricultural planningAgricultural Meteorology, 1982
- Analysing Daily Rainfall Measurements to Give Agronomically Useful Results. I. Direct MethodsExperimental Agriculture, 1982
- A comparison of the rainfall climate of eleven places in West Africa using a two-part model for daily rainfallArchives for Meteorology, Geophysics, and Bioclimatology Series B, 1981
- The start of the rains in West AfricaJournal of Climatology, 1981
- Stochastic Modelling of Daily Rainfall Sequences.Journal of the Royal Statistical Society Series C: Applied Statistics, 1979
- On Markov Chain Modeling to Some Weather DataJournal of Applied Meteorology, 1976
- A Stochastic Model ofn-Day PrecipitationJournal of Applied Meteorology, 1975
- Generalized Linear ModelsJournal of the Royal Statistical Society. Series A (General), 1972
- A first-order Markov model for assessing rainfall discontinuity in central AustraliaArchives for Meteorology, Geophysics, and Bioclimatology Series B, 1967
- A Markov chain model for daily rainfall occurrence at Tel AvivQuarterly Journal of the Royal Meteorological Society, 1962