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ASSESSING THE EFFECT OF SPATIAL PATTERN OF PRECIPITATION IN MODELING STREAM FLOW HYDROGRAPHS

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ASSESSING THE EFFECT OF SPATIAL PATTERN OF PRECIPITATION IN MODELING STREAM FLOW HYDROGRAPHS. / Beven, Keith J.; Hornberger, George M.
In: JAWRA Journal of the American Water Resources Association, Vol. 18, No. 5, 10.1982, p. 823-829.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Beven, KJ & Hornberger, GM 1982, 'ASSESSING THE EFFECT OF SPATIAL PATTERN OF PRECIPITATION IN MODELING STREAM FLOW HYDROGRAPHS', JAWRA Journal of the American Water Resources Association, vol. 18, no. 5, pp. 823-829. https://doi.org/10.1111/j.1752-1688.1982.tb00078.x

APA

Beven, K. J., & Hornberger, G. M. (1982). ASSESSING THE EFFECT OF SPATIAL PATTERN OF PRECIPITATION IN MODELING STREAM FLOW HYDROGRAPHS. JAWRA Journal of the American Water Resources Association, 18(5), 823-829. https://doi.org/10.1111/j.1752-1688.1982.tb00078.x

Vancouver

Beven KJ, Hornberger GM. ASSESSING THE EFFECT OF SPATIAL PATTERN OF PRECIPITATION IN MODELING STREAM FLOW HYDROGRAPHS. JAWRA Journal of the American Water Resources Association. 1982 Oct;18(5):823-829. doi: 10.1111/j.1752-1688.1982.tb00078.x

Author

Beven, Keith J. ; Hornberger, George M. / ASSESSING THE EFFECT OF SPATIAL PATTERN OF PRECIPITATION IN MODELING STREAM FLOW HYDROGRAPHS. In: JAWRA Journal of the American Water Resources Association. 1982 ; Vol. 18, No. 5. pp. 823-829.

Bibtex

@article{cdef971c19f24e609cc4e2ad2d3139c6,
title = "ASSESSING THE EFFECT OF SPATIAL PATTERN OF PRECIPITATION IN MODELING STREAM FLOW HYDROGRAPHS",
abstract = "ABSTRACT: In most approaches to modeling the rainfall/runoff process, a spatially lumped description of precipitation has been assumed adequate for modeling the important characteristics of catchment response. However, theories of catchment hydrology as well as some re cent modeling studies suggest that spatial variability in precipitation may be important in determining the characteristics of stream flow hydrographs. Data from two intensive rainfall recording experiments in Illinois have been used to examine the effects of rainfall pattern on stream hydrographs for summer convective storms. A threshold analysis was introduced to distinguish storms of markedly different pattern. A mixed deterministic/stochastic modeling procedure was used to generate hydrographs resulting from storms of different patterns. It was found that differences in peak timing resulting from different patterns were highly significant, differences in the distributions of peak flow were significant and differences in the distributions of storm flow volumes were insignificant even given a long period of synthetic record. Rainfall pattern per se seems to have only a second order effect on hydrograph characteristics. Assessing the correct volume of input in a highly spatial variable pattern is far more important in predicting stream hydrographs.",
keywords = "catchment hydrology, precipitation, rainfall pattern., rainfall/runoff modeling, storm hydrographs, stream hydro‐graphs",
author = "Beven, {Keith J.} and Hornberger, {George M.}",
year = "1982",
month = oct,
doi = "10.1111/j.1752-1688.1982.tb00078.x",
language = "English",
volume = "18",
pages = "823--829",
journal = "JAWRA Journal of the American Water Resources Association",
issn = "1093-474X",
publisher = "Wiley-Blackwell Publishing Ltd",
number = "5",

}

RIS

TY - JOUR

T1 - ASSESSING THE EFFECT OF SPATIAL PATTERN OF PRECIPITATION IN MODELING STREAM FLOW HYDROGRAPHS

AU - Beven, Keith J.

AU - Hornberger, George M.

PY - 1982/10

Y1 - 1982/10

N2 - ABSTRACT: In most approaches to modeling the rainfall/runoff process, a spatially lumped description of precipitation has been assumed adequate for modeling the important characteristics of catchment response. However, theories of catchment hydrology as well as some re cent modeling studies suggest that spatial variability in precipitation may be important in determining the characteristics of stream flow hydrographs. Data from two intensive rainfall recording experiments in Illinois have been used to examine the effects of rainfall pattern on stream hydrographs for summer convective storms. A threshold analysis was introduced to distinguish storms of markedly different pattern. A mixed deterministic/stochastic modeling procedure was used to generate hydrographs resulting from storms of different patterns. It was found that differences in peak timing resulting from different patterns were highly significant, differences in the distributions of peak flow were significant and differences in the distributions of storm flow volumes were insignificant even given a long period of synthetic record. Rainfall pattern per se seems to have only a second order effect on hydrograph characteristics. Assessing the correct volume of input in a highly spatial variable pattern is far more important in predicting stream hydrographs.

AB - ABSTRACT: In most approaches to modeling the rainfall/runoff process, a spatially lumped description of precipitation has been assumed adequate for modeling the important characteristics of catchment response. However, theories of catchment hydrology as well as some re cent modeling studies suggest that spatial variability in precipitation may be important in determining the characteristics of stream flow hydrographs. Data from two intensive rainfall recording experiments in Illinois have been used to examine the effects of rainfall pattern on stream hydrographs for summer convective storms. A threshold analysis was introduced to distinguish storms of markedly different pattern. A mixed deterministic/stochastic modeling procedure was used to generate hydrographs resulting from storms of different patterns. It was found that differences in peak timing resulting from different patterns were highly significant, differences in the distributions of peak flow were significant and differences in the distributions of storm flow volumes were insignificant even given a long period of synthetic record. Rainfall pattern per se seems to have only a second order effect on hydrograph characteristics. Assessing the correct volume of input in a highly spatial variable pattern is far more important in predicting stream hydrographs.

KW - catchment hydrology

KW - precipitation

KW - rainfall pattern.

KW - rainfall/runoff modeling

KW - storm hydrographs

KW - stream hydro‐graphs

UR - http://www.scopus.com/inward/record.url?scp=0020200461&partnerID=8YFLogxK

U2 - 10.1111/j.1752-1688.1982.tb00078.x

DO - 10.1111/j.1752-1688.1982.tb00078.x

M3 - Journal article

AN - SCOPUS:0020200461

VL - 18

SP - 823

EP - 829

JO - JAWRA Journal of the American Water Resources Association

JF - JAWRA Journal of the American Water Resources Association

SN - 1093-474X

IS - 5

ER -