Hydrological model preselection with a filter sequence for the national flood forecasting system in Kenya-Reference-Cited by-同舟云学术

Hydrological model preselection with a filter sequence for the national flood forecasting system in Kenya

Published:2022-08-22 Issue: Volume: Page:
ISSN:1753-318X
Container-title:Journal of Flood Risk Management
language:en
Short-container-title:J Flood Risk Management

Author:

Wanzala Maureen A.¹^ORCID,Stephens Elisabeth M.¹²³,Cloke Hannah L.¹²⁴⁵,Ficchi Andrea¹⁶

Affiliation:

1. Department of Geography & Environmental Science University of Reading Reading UK

2. Department of Meteorology University of Reading Reading UK

3. Red Cross Red Crescent Climate Centre The Hague Netherlands

4. Department of Earth Sciences Uppsala University Uppsala Sweden

5. Centre of Natural Hazards and Disaster Science, CNDS Uppsala Sweden

6. Department of Electronics, Information and Bioengineering Politecnico di Milano Milan Italy

Funder

Commonwealth Scholarship Commission

Society for Historians of the Early American Republic

Publisher

Wiley

Subject

Water Science and Technology,Safety, Risk, Reliability and Quality,Geography, Planning and Development,Environmental Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jfr3.12846

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4. Key factors for improving large‐scale hydrological model performance;Andersson J.;European Water,2015

5. Artan G. Verdin J. &Asante K.(2001).A wide‐area flood risk monitoring model[Conference presentation]. Fifth International Workshop on Application of Remote Sensing in Hydrology Montpellier France (Vol. 2).

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