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Flooding is a destructive and dangerous hazard and climate change appears to be increasing the frequency of catastrophic flooding events around the world.
Random forests
Leo Breiman · 2001
Earlier work this paper cites.
Flood Hazards - A National Threat, 2019
USGS · 2006
Earlier work this paper cites.
Qualitative comparison of streamflow information programs of the us geological survey and three non-federal agencies
J Michael Norris, Michael Lewis, Michael Dorsey, Robert Kimbrough, Robert R Holmes Jr, and Ward Staubitz · 2008
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Shuttle Radar Topography Mission (SRTM) 1 Arc-Second Global (30 meters), 2014
USGS Earth Resources Observation and Science (EROS) Center · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization, 2014
Diederik P. Kingma and Jimmy Ba · 2014
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Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
Earlier work this paper cites.
FLASH Flood Observation Data, USGS Event Data, 2016
FLASH · 2016
Earlier work this paper cites.
The Stream-Catchment (StreamCat) Dataset: A Database of Watershed Metrics for the Conterminous United States, 2016
Ryan A. Hill, Marc H. Weber, Scott G. Leibowitz, Anthony R. Olsen, and Darren J. Thornbrugh · 2016
Cited alongside, same era.
National land cover dataset, percent developed imperviousness, 2016
Multi-Resolution Land Characteristics Consortium · 2016
Cited alongside, same era.
XGBoost: A scalable tree boosting system
Tianqi Chen and Carlos Guestrin · 2016
Cited alongside, same era.
Urban water flow and water level prediction based on deep learning
Haytham Assem, Salem Ghariba, Gabor Makrai, Paul Johnston, Laurence Gill, and Francesco Pilla · 2017
Cited alongside, same era.
A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at haraz watershed, northern iran
Khabat Khosravi, Binh Thai Pham, Kamran Chapi, Ataollah Shirzadi, Himan Shahabi, Inge Revhaug, Indra Prakash, and Dieu Tien Bui · 2018
Cited alongside, same era.
A global dataset of river network geometry
Emanuele Giachetta and Sean D. Willett · 2018
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EM-DAT: The International Disaster Database, 2019
Universite Catholique de Louvain - Centre for Research on the Epidemiology of Disasters · 2019
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The national water model, 2019
The Office of Water Prediction · 2019
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U.S. Flood and Climate Outlook for Spring 2019, 2019
NOAA · 2019
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National water information system, 2019
USGS · 2019
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Prism climate data, 2019
Oregon State University PRISM Climate Group · 2019
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Towards global remote discharge estimation: Using the few to estimate the many
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Flood hydrograph prediction using machine learning methods
Gokmen Tayfur, Vijay Singh, Tommaso Moramarco, and Silvia Barbetta · 2018
Cited alongside, same era.
Rainfall–runoff modelling using long short-term memory (lstm) networks
Frederik Kratzert, Daniel Klotz, Claire Brenner, Karsten Schulz, and Mathew Herrnegger · 2018
Cited alongside, same era.
Flood Related Hazards, 2019a
National Weather Service
Cited in the paper.
National Weather Service River Forecasts, 2019b
National Weather Service
Cited in the paper.
Advanced hydrologic prediction service, 2019c
National Weather Service
Cited in the paper.
Iowa environmental mesonet
Iowa State University Department of Agronomy
Cited in the paper.
Yotam Gigi, Gal Elidan, Avinatan Hassidim, Yossi Matias, Zach Moshe, Sella Nevo, Guy Shalev, and Ami Wiesel · 2019
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