Flood forecasting

<h2 id="see-also">See also</h2>
<ul><li><a href="/facts/Runoff_model_(reservoir)/U73ncvKt">Runoff model (reservoir)</a></li>
<li><a href="/facts/Flood_alert/4FESDB7e">Flood alert</a></li>
<li><a href="/facts/Flood_Modeller_Pro/8zowFRoy">Flood Modeller Pro</a></li>
<li><a href="/facts/Weather_forecasting/nzqyMFCa">Weather forecasting</a></li></ul>

<h2 id="external-links">External links</h2>
<ul><li><a href="http://www.iwaponline.com/nh/up/nh2014168.htm">Application of self-organising maps and multi-layer perceptron-artificial neural networks for streamflow and water level forecasting in data-poor catchments: the case of the Lower Shire floodplain, Malawi</a></li>
<li><a href="http://www.delft-fews.com">Delft-FEWS, state of the art system for flood forecasting and operational water management (most advanced system available, used on national scale in Europe and the USA)</a></li>
<li><a href="http://www.waterlog.info/software.htm">RainOff</a>, a conceptual rainfall-runoff model using a nonlinear reservoir</li>
<li><a href="http://www.hepex.org">hepex.org the Hydrologic Ensemble Prediction EXperiment</a>, an informal yet highly active group of researchers in the field of predictive hydrologic uncertainty.</li></ul>

<h2 id="references">References</h2>

<ol>
<li id="fn:1"><p>Nearing, Grey; Cohen, Deborah; Dube, Vusumuzi; Gauch, Martin; Gilon, Oren; Harrigan, Shaun; Hassidim, Avinatan; Klotz, Daniel; Kratzert, Frederik; Metzger, Asher; Nevo, Sella; Pappenberger, Florian; Prudhomme, Christel; Shalev, Guy; Shenzis, Shlomo (March 2024). "Global prediction of extreme floods in ungauged watersheds". Nature. 627 (8004): 559–563. Bibcode:2024Natur.627..559N. doi:10.1038/s41586-024-07145-1. ISSN 1476-4687. PMC 10954541. PMID 38509278. <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10954541" target="_blank">https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10954541</a> <a href="#fnref:1" class="footnote-back-ref">↩</a></p></li>
<li id="fn:2"><p>"AMS Glossary". allenpress.com. Archived from the original on 16 July 2012. Retrieved 9 July 2015. <a href="https://web.archive.org/web/20120716194926/http://amsglossary.allenpress.com/glossary/browse?s=f&p=18" target="_blank">https://web.archive.org/web/20120716194926/http://amsglossary.allenpress.com/glossary/browse?s=f&p=18</a> <a href="#fnref:2" class="footnote-back-ref">↩</a></p></li>
<li id="fn:3"><p>Nevo, Sella; Morin, Efrat; Gerzi Rosenthal, Adi; Metzger, Asher; Barshai, Chen; Weitzner, Dana; Voloshin, Dafi; Kratzert, Frederik; Elidan, Gal; Dror, Gideon; Begelman, Gregory; Nearing, Grey; Shalev, Guy; Noga, Hila; Shavitt, Ira (2022-08-05). "Flood forecasting with machine learning models in an operational framework". Hydrology and Earth System Sciences. 26 (15): 4013–4032. arXiv:2111.02780. Bibcode:2022HESS...26.4013N. doi:10.5194/hess-26-4013-2022. ISSN 1027-5606. <a href="https://hess.copernicus.org/articles/26/4013/2022/" target="_blank">https://hess.copernicus.org/articles/26/4013/2022/</a> <a href="#fnref:3" class="footnote-back-ref">↩</a></p></li>
<li id="fn:4"><p>Chang, Li-Chiu; Shen, Hung-Yu; Chang, Fi-John (2014-11-27). "Regional flood inundation nowcast using hybrid SOM and dynamic neural networks". Journal of Hydrology. 519 (Part A): 476–489. Bibcode:2014JHyd..519..476C. doi:10.1016/j.jhydrol.2014.07.036. <a href="/wiki/Bibcode_(identifier)" target="_blank">/wiki/Bibcode_(identifier)</a> <a href="#fnref:4" class="footnote-back-ref">↩</a></p></li>
</ol>

Flood forecasting open-in-new

Flood forecasting