Stream flow prediction using TIGGE ensemble precipitation forecast data for Sabarmati river basin
Stream flow prediction using TIGGE ensemble precipitation forecast data for Sabarmati river basin
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Publisher
London: IWA Publishing
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Language
English
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Publisher
London: IWA Publishing
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Contents
Flooding is the most prevalent natural disaster globally. Increasing flood frequency affects developing nations as these countries lack strong forecasting systems. The most flood-prone urban regions are near the coast or riverbanks. Using The International Grand Global Ensemble (TIGGE) data, a coupled atmospheric-hydrologic ensemble flood forecasti...
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Full title
Stream flow prediction using TIGGE ensemble precipitation forecast data for Sabarmati river basin
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TN_cdi_doaj_primary_oai_doaj_org_article_5f58c2c644e44821b3967e48aec95356
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5f58c2c644e44821b3967e48aec95356
Other Identifiers
ISSN
1606-9749
E-ISSN
1607-0798
DOI
10.2166/ws.2022.362
