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A simple method for generating daily rainfall data.

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TLDR
In this paper, a combination of Markov chain and gamma distribution function is recognized as a simple approach and is demonstrated to be effective in generating daily rainfall data for many environments, however, this method requires that many years of daily weather records be available for estimating the model parameters.
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This article is published in Agricultural and Forest Meteorology.The article was published on 1986-04-01. It has received 208 citations till now. The article focuses on the topics: Gamma distribution.

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Citations
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The DSSAT cropping system model

TL;DR: The benefits of the new, re-designed DSSAT-CSM will provide considerable opportunities to its developers and others in the scientific community for greater cooperation in interdisciplinary research and in the application of knowledge to solve problems at field, farm, and higher levels.
Journal ArticleDOI

An integrated biosphere model of land surface processes, terrestrial carbon balance, and vegetation dynamics

TL;DR: The Integrated Biosphere Simulator (IBIS) as mentioned in this paper is a terrestrial biosphere model that integrates a wide range of biophysical, physiological, and ecological processes in a single, physically consistent modeling framework.
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A global hydrological model for deriving water availability indicators: model tuning and validation

TL;DR: The WaterGAP Global Hydrology Model (WGHM) as discussed by the authors is a submodel of the global water use and availability model, which computes surface runoff, groundwater recharge and river discharge at a spatial resolution of 0.58.
Journal ArticleDOI

The weather generation game: a review of stochastic weather models

TL;DR: The historical development of statistical weather models, from simple analyses of runs of consecutive rainy and dry days at single sites, through to multisite models of daily precipitation, can be found in this article.
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Terrestrial vegetation and water balance-hydrological evaluation of a dynamic global vegetation model

TL;DR: In this paper, the hydrological performance of the Lund-Potsdam-Jena model (LPJ), a prominent dynamic global vegetation model, is evaluated, and it is shown that runoff and evapotranspiration computed by LPJ agree well with respective results from state-of-the-art global hydrologogical models, while in some regions, runoff is significantly over- or underestimated compared to observations.
References
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Book

Continuous univariate distributions

TL;DR: Continuous Distributions (General) Normal Distributions Lognormal Distributions Inverse Gaussian (Wald) Distributions Cauchy Distribution Gamma Distributions Chi-Square Distributions Including Chi and Rayleigh Exponential Distributions Pareto Distributions Weibull Distributions Abbreviations Indexes
Book

Wgen: A Model for Generating Daily Weather Variables

TL;DR: Richardson and Wright as discussed by the authors described a computer simulation model called WGEN (Weather Generator) that provides daily values for precipitation, maximum temperature, minimum temperature, and solar radiation.
Journal ArticleDOI

A Markov chain model for daily rainfall occurrence at Tel Aviv

TL;DR: In this article, a Markov chain probability model is used to fit Tel Aviv data of daily rainfall occurrence, which accounts for the form of the distributions of dry and of wet spells and of weather cycles.
Journal ArticleDOI

Aids for Fitting the Gamma Distribution by Maximum Likelihood

TL;DR: In this article, a new table and some approximating polynomials especially designed to facilitate maximum likelihood estimation of the parameters of the gamma distribution, and also applicable to the a-parameter Type V, are presented.
Journal ArticleDOI

Some remarks on the use of daily rainfall models

T.A. Buishand
- 01 Feb 1978 - 
TL;DR: In this article, the authors described features of daily rainfall processes using data from different sites of the world and modelled the process of rainfall occurrence by an alternating renewal process or by a Markov chain.
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