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Let-It-Rain: a web application for stochastic point rainfall generation at ungaged basins and its applicability in runoff and flood modeling

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Title: Let-It-Rain: a web application for stochastic point rainfall generation at ungaged basins and its applicability in runoff and flood modeling
Authors: Kim, D
Cho, H
Onof, C
Choi, M
Item Type: Journal Article
Abstract: We present a web application named Let-It-Rain that is able to generate a 1-h temporal resolution synthetic rainfall time series using the modified Bartlett–Lewis rectangular pulse (MBLRP) model, a type of Poisson stochastic rainfall generator. Let-It-Rain, which can be accessed through the web address http://www.LetItRain.info, adopts a web-based framework combining ArcGIS Server from server side for parameter value dissemination and JavaScript from client side to implement the MBLRP model. This enables any desktop and mobile end users with internet access and web browser to obtain the synthetic rainfall time series at any given location at which the parameter regionalization work has been completed (currently the contiguous United States and Republic of Korea) with only a few mouse clicks. Let-It-Rain shows satisfactory performance in its ability to reproduce observed rainfall mean, variance, auto-correlation, and probability of zero rainfall at hourly through daily accumulation levels. It also shows a reasonably good performance in reproducing watershed runoff depth and peak flow. We expect that Let-It-Rain can stimulate the uncertainty analysis of hydrologic variables across the world.
Issue Date: 12-Mar-2016
Date of Acceptance: 1-Mar-2016
URI: http://hdl.handle.net/10044/1/30902
DOI: https://dx.doi.org/10.1007/s00477-016-1234-6
ISSN: 1436-3259
Publisher: Springer Verlag (Germany)
Start Page: 1023
End Page: 1043
Journal / Book Title: Stochastic Environmental Research and Risk Assessment
Volume: 31
Issue: 4
Copyright Statement: © Springer-Verlag Berlin Heidelberg 2016. The final publication is available at Springer via http://dx.doi.org/10.1007/s00477-016-1234-6.
Keywords: Science & Technology
Technology
Life Sciences & Biomedicine
Physical Sciences
Engineering, Environmental
Engineering, Civil
Environmental Sciences
Statistics & Probability
Water Resources
Engineering
Environmental Sciences & Ecology
Mathematics
Poisson cluster rainfall simulation
Modified Bartlett-Lewis rectangular pulse model
Neyman-Scott rectangular pulse model
Rainfall disaggregation
Rainfall downscaling
Climate change
RECTANGULAR PULSES MODEL
CLIMATE-CHANGE
INTERANNUAL VARIABILITY
STATISTICS
FREQUENCY
REGIONALIZATION
DISAGGREGATION
CATCHMENT
IMPACTS
VALUES
09 Engineering
01 Mathematical Sciences
Strategic, Defence & Security Studies
Publication Status: Published
Appears in Collections:Civil and Environmental Engineering
Faculty of Engineering