Let-It-Rain: a web application for stochastic point rainfall generation at ungaged basins and its applicability in runoff and flood modeling-Reference-Cited by-同舟云学术

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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

Published:2016-03-12 Issue:4 Volume:31 Page:1023-1043
ISSN:1436-3240
Container-title:Stochastic Environmental Research and Risk Assessment
language:en
Short-container-title:Stoch Environ Res Risk Assess

Author:

Kim Dongkyun,Cho Huidae,Onof Christian,Choi Minha

Funder

National Research Foundation of Korea (KR)

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science,Safety, Risk, Reliability and Quality,Water Science and Technology,Environmental Chemistry,Environmental Engineering

Link

http://link.springer.com/content/pdf/10.1007/s00477-016-1234-6.pdf

Reference45 articles.

1. Bathurst JC, Moretti G, El-Hames A, Moaven-Hashemi A, Burton A (2005) Scenario modelling of basin-scale, shallow landslide sediment yield, Valsassina, Italian Southern Alps. Nat Hazards Earth Syst Sci 5(2):189–202

2. Birkinshaw SJ, Bathurst JC, Iroumé A, Palacios H (2011) The effect of forest cover on peak flow and sediment discharge—an integrated field and modelling study in central–southern Chile. Hydrol Process 25(8):1284–1297

3. Blazkov S, Beven K (1997) Flood frequency prediction for data limited catchments in the Czech Republic using a stochastic rainfall model and TOPMODEL. J Hydrol 195(1):256–278

4. Burton A et al (2008) RainSim: a spatial–temporal stochastic rainfall modelling system. Environ Model Softw 23(12):1356–1369

5. Burton A, Fowler HJ, Blenkinsop S, Kilsby CG (2010) Downscaling transient climate change using a Neyman–Scott Rectangular Pulses stochastic rainfall model. J Hydrol 381(1):18–32

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