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What was known: Weather forecast availability and communication in conflict-affected countries.

Authors :
Jaime, Catalina
Coughlan de Perez, Erin
van Aalst, Maarten
Raju, Emmanuel
Sheaffer, Alexandra
Source :
International Journal of Disaster Risk Reduction; Dec2022, Vol. 83, pN.PAG-N.PAG, 1p
Publication Year :
2022

Abstract

Armed conflict increases people's vulnerability to climate extremes. Since many of these climate extremes are predictable beforehand, Early Warning Early Action (EWEA) can help protect people's lives, livelihoods, and wellbeing. While such EWEA systems exist in several countries, there is limited scientific knowledge about EWEA in conflict-affected countries where communities experience the compounding effects of both disaster and conflict risks. By doing a retrospective analysis of the most severe disaster events and historical forecast information, this paper examines whether global forecast models predicted historical floods in conflict-affected regions and whether forecast information was communicated for droughts . It analyses the historical forecast availability and communication for the most severe disaster events in 20 countries affected by protracted conflict over the last 20 years. These 72 disaster events were reported to affect approximately 150 million individuals and more than 150,000 were reported dead. The results show that heavy rainfall was predicted in advance for 48 out of 50 flood events, with lead times of more than three days and probabilities between 10 and 90%. In addition, in 16 out of 20 major drought events a low rainfall forecast was communicated in advance of the disaster declaration. We conclude that forecasts exist and could be used to provide early warnings in conflict-affected areas. Further research is needed as to what extent forecast warnings did lead to early action to protect populations affected by conflict. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
22124209
Volume :
83
Database :
Supplemental Index
Journal :
International Journal of Disaster Risk Reduction
Publication Type :
Academic Journal
Accession number :
160439149
Full Text :
https://doi.org/10.1016/j.ijdrr.2022.103421