A spatial rainfall simulator for crop production modeling in Southern Africa
نویسندگان
چکیده
منابع مشابه
The Nature of Rainfall at a Typical Semi-Arid Tropical Ecotope in Southern Africa and Options for Sustainable Crop Production
Climate plays an important role in crop biomass production. Extreme climatic conditions and high seasonal variability of climatic parameters could adversely affect productivity (Li et al., 2006) since rainfall determines the crop yields and the choice of the crops that can be grown. The pattern and amount of rainfall are among the most important factors that affect cropping systems. The analysi...
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Crops that are not part of the customary diet of the local population and grown primarily for their high cash values and export potentials are categorized as nontraditional. Recently, several African countries have gone into the production of nontraditional fruits and vegetables of temperate origin in order to diversify their agricultural exports and increase hard currency earning. Most develop...
متن کاملThe Critical Diameters for Rainfall Attenu- Ation in Southern Africa
This paper investigates the influence of critical raindrop diameters on the specific rain attenuation in Durban (29◦52′S, 30◦58′E), South Africa. The total rainfall attenuation is evaluated by integrating over all the raindrop sizes and the differential change in the attenuation is observed over a given range of drop size diameters. The major contribution to the specific attenuation for the dro...
متن کاملCirculation patterns identified by spatial rainfall and ocean wave fields in Southern Africa
This paper presents the application of Fuzzy Rule Based Circulation Patterns (CPs) classification in the description and modeling of two different physical processes: rainfall regimes and ocean waves. Large ocean waves are typically generated over fetches of the order of thousands of kilometers far off shore, whereas rainfall is generated by local atmospheric variables including temperature, hu...
متن کاملSpatial Interpolation Using Copula for non-Gaussian Modeling of Rainfall Data
‎One of the most useful tools for handling multivariate distributions of dependent variables in terms of their marginal distribution is a copula function‎. ‎The copula families capture a fair amount of attention due to their applicability and flexibility in describing the non-Gaussian spatial dependent data‎. ‎The particular properties of the spatial copula are rarely ...
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ژورنال
عنوان ژورنال: Mathematical and Computer Modelling
سال: 2002
ISSN: 0895-7177
DOI: 10.1016/s0895-7177(02)00097-3