Comparison of rainfall sampling schemes using a calibrated stochastic rainfall generator

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Accurate rainfall measurements are critical to river flow predictions. Areal and gauge rainfall measurements create different descriptions of the same storms. The purpose of this study is to characterize those differences. A stochastic rainfall generator was calibrated using an automatic search algorithm. Statistics describing several rainfall characteristics of interest were used in the error function. The calibrated model was then used to generate storms which were exhaustively sampled, sparsely sampled and sampled areally with 4 x 4 km grids. The sparsely sampled rainfall was also kriged to 4 x 4 km blocks. The differences between the four schemes were characterized ... continued below

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107 p.

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Welles, E. December 31, 1994.

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Description

Accurate rainfall measurements are critical to river flow predictions. Areal and gauge rainfall measurements create different descriptions of the same storms. The purpose of this study is to characterize those differences. A stochastic rainfall generator was calibrated using an automatic search algorithm. Statistics describing several rainfall characteristics of interest were used in the error function. The calibrated model was then used to generate storms which were exhaustively sampled, sparsely sampled and sampled areally with 4 x 4 km grids. The sparsely sampled rainfall was also kriged to 4 x 4 km blocks. The differences between the four schemes were characterized by comparing statistics computed from each of the sampling methods. The possibility of predicting areal statistics from gauge statistics was explored. It was found that areally measured storms appeared to move more slowly, appeared larger, appeared less intense and have shallower intensity gradients.

Physical Description

107 p.

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OSTI as DE97053792

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  • Other Information: TH: Thesis (M.S.)

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  • Other: DE97053792
  • Report No.: DOE/OR/00033--T760
  • Grant Number: AC05-76OR00033
  • DOI: 10.2172/671862 | External Link
  • Office of Scientific & Technical Information Report Number: 671862
  • Archival Resource Key: ark:/67531/metadc707444

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  • December 31, 1994

Added to The UNT Digital Library

  • Sept. 12, 2015, 6:31 a.m.

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  • Nov. 4, 2015, 4:02 p.m.

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Welles, E. Comparison of rainfall sampling schemes using a calibrated stochastic rainfall generator, report, December 31, 1994; United States. (digital.library.unt.edu/ark:/67531/metadc707444/: accessed September 22, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.