Recommendations to improve the interpretation of global flood forecasts to support international humanitarian operations for tropical cyclones
Abstrak
Abstract International humanitarian organisations increasingly turn to forecast teams to support the coordination of efforts to respond to disasters caused by hazards such as tropical cyclones and large‐scale fluvial floods. Such disasters often occur where there is limited local capacity or information available to support decision making and so global forecasting capacity is utilised to provide impact‐based flood forecast bulletins. A multidisciplinary team joined together to provide forecast bulletins and expertise for such events through the UK Foreign and Commonwealth Development Office (FCDO). This paper captures the successes and challenges from two cyclones: Hurricane Iota in Central America (November 2020) and Cyclone Eloise in Mozambique (January 2021). Recommendations to improve global forecasting systems are made which will benefit the international community of researchers and practitioners involved in disaster prediction, anticipatory action and response. These include the need for additional data and expertise to support the interpretation of global models, clear documentation to support decision makers faced with multiple sources of information, and the development of user relevant metrics to assess the skill of global models. We discuss the value of effective partnerships and improving synergies between global models and local contexts, highlighting how global forecasting can help build local forecasting capability.
Topik & Kata Kunci
Penulis (22)
Linda Speight
Elizabeth Stephens
Laurence Hawker
Calum Baugh
Jeffrey Neal
Hannah Cloke
Stephen Grey
Helen Titley
Katherine Marsden
Tim Sumner
Andrea Ficchi
Christel Prudhomme
Leanne Archer
Juan Bazo
Jânio Dambo
Siobhan Dolan
Anna Lena Huhn
Francesca Moschini
James Savage
Andy Smith
Jamie Towner
Maureen Wanzala
Akses Cepat
- Tahun Terbit
- 2025
- Sumber Database
- DOAJ
- DOI
- 10.1111/jfr3.12952
- Akses
- Open Access ✓