Modifications of a Stochastic Simulation of Daily Rainfall Model
Author: Forrest Thomas Hugh Holemon
Publisher:
Published: 1981
Total Pages: 222
ISBN-13:
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Author: Forrest Thomas Hugh Holemon
Publisher:
Published: 1981
Total Pages: 222
ISBN-13:
DOWNLOAD EBOOKAuthor: Edward Mark Schulman
Publisher:
Published: 1983
Total Pages: 204
ISBN-13:
DOWNLOAD EBOOKAuthor:
Publisher:
Published: 1975
Total Pages: 134
ISBN-13:
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Publisher:
Published: 2004
Total Pages:
ISBN-13:
DOWNLOAD EBOOKCharacterizing the uncertainty in rainfall using stochastic models has been a challenging area of research in the field of operational hydrology for about half a century. Simulated sequences drawn from such models find use in a variety of hydrological applications. Traditionally, parametric models are used for simulating rainfall. But the parametric models are not parsimonious and have uncertainties associated with identification of model form, normalizing transformation, and parameter estimation. None of the models in vogue have gained universal acceptability among practising engineers. This may either be due to lack of confidence in the existing models, or the inability to adopt models proposed in literature because of their complexity or both. In the present study, a new nonparametric Matched Block Bootstrap (MABB) model is proposed for stochastic simulation of rainfall at daily time scale. It is based on conditional matching of blocks formed from the historical rainfall data using a set of predictors (conditioning variables) proposed for matching the blocks. The efficiency of the developed model is demonstrated through application to rainfall data from India, Australia, and USA. The performance of MABB is compared with two non-parametric rainfall simulation models, k-NN and ROG-RAG, for a site in Melbourne, Australia. The results showed that MABB model is a feasible alternative to ROG-RAG and k-NN models for simulating daily rainfall sequences for hydrologic applications. Further it is found that MABB and ROG-RAG models outperform k-NN model. The proposed MABB model preserved the summary statistics of rainfall and fraction of wet days at daily, monthly, seasonal and annual scales. It could also provide reasonable performance in simulating spell statistics. The MABB is parsimonious and requires less computational effort than ROG-RAG model. It reproduces probability density function (marginal distribution) fairly well due to its data driven nature. Results obtaine.
Author: Rebecca Lyn Smith
Publisher:
Published: 1983
Total Pages: 226
ISBN-13:
DOWNLOAD EBOOKAuthor: Firat Y. Testik
Publisher: John Wiley & Sons
Published: 2013-05-02
Total Pages: 500
ISBN-13: 1118671546
DOWNLOAD EBOOKPublished by the American Geophysical Union as part of the Geophysical Monograph Series, Volume 191. Rainfall: State of the Science offers the most up-to-date knowledge on the fundamental and practical aspects of rainfall. Each chapter, self-contained and written by prominent scientists in their respective fields, provides three forms of information: fundamental principles, detailed overview of current knowledge and description of existing methods, and emerging techniques and future research directions. The book discusses Rainfall microphysics: raindrop morphodynamics, interactions, size distribution, and evolution Rainfall measurement and estimation: ground-based direct measurement (disdrometer and rain gauge), weather radar rainfall estimation, polarimetric radar rainfall estimation, and satellite rainfall estimation Statistical analyses: intensity-duration-frequency curves, frequency analysis of extreme events, spatial analyses, simulation and disaggregation, ensemble approach for radar rainfall uncertainty, and uncertainty analysis of satellite rainfall products The book is tailored to be an indispensable reference for researchers, practitioners, and graduate students who study any aspect of rainfall or utilize rainfall information in various science and engineering disciplines.
Author:
Publisher:
Published: 1979
Total Pages: 532
ISBN-13:
DOWNLOAD EBOOKAuthor: H. M. Scoging
Publisher:
Published: 1976
Total Pages: 16
ISBN-13:
DOWNLOAD EBOOKAuthor: Praveen Kumar
Publisher:
Published: 1989
Total Pages: 248
ISBN-13:
DOWNLOAD EBOOKAuthor: Bellie Sivakumar
Publisher: Springer
Published: 2016-11-16
Total Pages: 408
ISBN-13: 9048125529
DOWNLOAD EBOOKThis authoritative book presents a comprehensive account of the essential roles of nonlinear dynamic and chaos theories in understanding, modeling, and forecasting hydrologic systems. This is done through a systematic presentation of: (1) information on the salient characteristics of hydrologic systems and on the existing theories for their modeling; (2) the fundamentals of nonlinear dynamic and chaos theories, methods for chaos identification and prediction, and associated issues; (3) a review of the applications of chaos theory in hydrology; and (4) the scope and potential directions for the future. This book bridges the divide between the deterministic and the stochastic schools in hydrology, and is well suited as a textbook for hydrology courses.