Spatial patterns in thunderstorm rainfall events and their coupling with watershed hydrological response

Efrat Morin; David C. Goodrich; Robert A. Maddox; Xiaogang Gao; Hoshin V. Gupta; Soroosh Sorooshian

doi:10.1016/j.advwatres.2005.07.014

Spatial patterns in thunderstorm rainfall events and their coupling with watershed hydrological response

Efrat Morin, David C. Goodrich, Robert A. Maddox, Xiaogang Gao, Hoshin V. Gupta, Soroosh Sorooshian

Research output: Contribution to journal › Article › peer-review

133 Scopus citations

Abstract

Weather radar systems provide detailed information on spatial rainfall patterns known to play a significant role in runoff generation processes. In the current study, we present an innovative approach to exploit spatial rainfall information of air mass thunderstorms and link it with a watershed hydrological model. Observed radar data are decomposed into sets of rain cells conceptualized as circular Gaussian elements and the associated rain cell parameters, namely, location, maximal intensity and decay factor, are input into a hydrological model. Rain cells were retrieved from radar data for several thunderstorms over southern Arizona. Spatial characteristics of the resulting rain fields were evaluated using data from a dense rain gauge network. For an extreme case study in a semi-arid watershed, rain cells were derived and fed as input into a hydrological model to compute runoff response. A major factor in this event was found to be a single intense rain cell (out of the five cells decomposed from the storm). The path of this cell near watershed tributaries and toward the outlet enhanced generation of high flow. Furthermore, sensitivity analysis to cell characteristics indicated that peak discharge could be a factor of two higher if the cell was initiated just a few kilometers aside.

Original language	English (US)
Pages (from-to)	843-860
Number of pages	18
Journal	Advances in Water Resources
Volume	29
Issue number	6
DOIs	https://doi.org/10.1016/j.advwatres.2005.07.014
State	Published - Jun 2006

Keywords

Distributed hydrological models
Rain cell
Rainfall
Spatial patterns
Thunderstorms
Weather radar

ASJC Scopus subject areas

Water Science and Technology

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10.1016/j.advwatres.2005.07.014

Cite this

@article{3a58d56c8c4b4bf799a4ee1aac074663,

title = "Spatial patterns in thunderstorm rainfall events and their coupling with watershed hydrological response",

abstract = "Weather radar systems provide detailed information on spatial rainfall patterns known to play a significant role in runoff generation processes. In the current study, we present an innovative approach to exploit spatial rainfall information of air mass thunderstorms and link it with a watershed hydrological model. Observed radar data are decomposed into sets of rain cells conceptualized as circular Gaussian elements and the associated rain cell parameters, namely, location, maximal intensity and decay factor, are input into a hydrological model. Rain cells were retrieved from radar data for several thunderstorms over southern Arizona. Spatial characteristics of the resulting rain fields were evaluated using data from a dense rain gauge network. For an extreme case study in a semi-arid watershed, rain cells were derived and fed as input into a hydrological model to compute runoff response. A major factor in this event was found to be a single intense rain cell (out of the five cells decomposed from the storm). The path of this cell near watershed tributaries and toward the outlet enhanced generation of high flow. Furthermore, sensitivity analysis to cell characteristics indicated that peak discharge could be a factor of two higher if the cell was initiated just a few kilometers aside.",

keywords = "Distributed hydrological models, Rain cell, Rainfall, Spatial patterns, Thunderstorms, Weather radar",

author = "Efrat Morin and Goodrich, {David C.} and Maddox, {Robert A.} and Xiaogang Gao and Gupta, {Hoshin V.} and Soroosh Sorooshian",

note = "Funding Information: This research was funded by grants from the International Arid Lands Consortium (IALC, 00R-11) and the Vaadia-BARD Postdoctoral Award No. FI-303-2000 from BARD, The United States–Israel Binational Agricultural Research and Development Fund. The research is based upon work supported in part by SAHRA (Sustainability of semi-Arid Hydrology and Riparian Areas) under the STC Program of the National Science Foundation, Agreement No. EAR-9876800 and by grants from the Hydrologic Laboratory of the National Weather Service, Grants NA87WHO582 and NA07WH0144. We are thankful to the staff members of the Southwest Watershed Research Center, USDA-ARS, for their assistance and diligent collection of high quality, long-term, watershed data. We thank Jonathan J. Gourley, of the University of Oklahoma, for his help in obtaining the radar data for the Phoenix area and to the staff of the Flood Control District of Maricopa County in providing gauge data for the same area. We also thank the editor and three anonymous reviewers for their beneficial comments that helped to improve this paper. ",

year = "2006",

month = jun,

doi = "10.1016/j.advwatres.2005.07.014",

language = "English (US)",

volume = "29",

pages = "843--860",

journal = "Advances in Water Resources",

issn = "0309-1708",

publisher = "Elsevier Ltd",

number = "6",

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TY - JOUR

T1 - Spatial patterns in thunderstorm rainfall events and their coupling with watershed hydrological response

AU - Morin, Efrat

AU - Goodrich, David C.

AU - Maddox, Robert A.

AU - Gao, Xiaogang

AU - Gupta, Hoshin V.

AU - Sorooshian, Soroosh

N1 - Funding Information: This research was funded by grants from the International Arid Lands Consortium (IALC, 00R-11) and the Vaadia-BARD Postdoctoral Award No. FI-303-2000 from BARD, The United States–Israel Binational Agricultural Research and Development Fund. The research is based upon work supported in part by SAHRA (Sustainability of semi-Arid Hydrology and Riparian Areas) under the STC Program of the National Science Foundation, Agreement No. EAR-9876800 and by grants from the Hydrologic Laboratory of the National Weather Service, Grants NA87WHO582 and NA07WH0144. We are thankful to the staff members of the Southwest Watershed Research Center, USDA-ARS, for their assistance and diligent collection of high quality, long-term, watershed data. We thank Jonathan J. Gourley, of the University of Oklahoma, for his help in obtaining the radar data for the Phoenix area and to the staff of the Flood Control District of Maricopa County in providing gauge data for the same area. We also thank the editor and three anonymous reviewers for their beneficial comments that helped to improve this paper.

PY - 2006/6

Y1 - 2006/6

N2 - Weather radar systems provide detailed information on spatial rainfall patterns known to play a significant role in runoff generation processes. In the current study, we present an innovative approach to exploit spatial rainfall information of air mass thunderstorms and link it with a watershed hydrological model. Observed radar data are decomposed into sets of rain cells conceptualized as circular Gaussian elements and the associated rain cell parameters, namely, location, maximal intensity and decay factor, are input into a hydrological model. Rain cells were retrieved from radar data for several thunderstorms over southern Arizona. Spatial characteristics of the resulting rain fields were evaluated using data from a dense rain gauge network. For an extreme case study in a semi-arid watershed, rain cells were derived and fed as input into a hydrological model to compute runoff response. A major factor in this event was found to be a single intense rain cell (out of the five cells decomposed from the storm). The path of this cell near watershed tributaries and toward the outlet enhanced generation of high flow. Furthermore, sensitivity analysis to cell characteristics indicated that peak discharge could be a factor of two higher if the cell was initiated just a few kilometers aside.

AB - Weather radar systems provide detailed information on spatial rainfall patterns known to play a significant role in runoff generation processes. In the current study, we present an innovative approach to exploit spatial rainfall information of air mass thunderstorms and link it with a watershed hydrological model. Observed radar data are decomposed into sets of rain cells conceptualized as circular Gaussian elements and the associated rain cell parameters, namely, location, maximal intensity and decay factor, are input into a hydrological model. Rain cells were retrieved from radar data for several thunderstorms over southern Arizona. Spatial characteristics of the resulting rain fields were evaluated using data from a dense rain gauge network. For an extreme case study in a semi-arid watershed, rain cells were derived and fed as input into a hydrological model to compute runoff response. A major factor in this event was found to be a single intense rain cell (out of the five cells decomposed from the storm). The path of this cell near watershed tributaries and toward the outlet enhanced generation of high flow. Furthermore, sensitivity analysis to cell characteristics indicated that peak discharge could be a factor of two higher if the cell was initiated just a few kilometers aside.

KW - Distributed hydrological models

KW - Rain cell

KW - Rainfall

KW - Spatial patterns

KW - Thunderstorms

KW - Weather radar

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U2 - 10.1016/j.advwatres.2005.07.014

DO - 10.1016/j.advwatres.2005.07.014

M3 - Article

AN - SCOPUS:33645878604

SN - 0309-1708

VL - 29

SP - 843

EP - 860

JO - Advances in Water Resources

JF - Advances in Water Resources

IS - 6

ER -

Spatial patterns in thunderstorm rainfall events and their coupling with watershed hydrological response

Abstract

Keywords

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