Drought risk management using satellite-based rainfall estimates

Tarnavsky, E. ORCID: https://orcid.org/0000-0003-3403-0411 and Bonifacio, R. (2020) Drought risk management using satellite-based rainfall estimates. In: Levizzani, V., Kidd, C., Kirschbaum, D. B., Kummerow, C. D., Nakamura, K. and Turk, F. J. (eds.) Satellite Precipitation Measurement. Advances in Global Chance Research, 2 (69). Springer, pp. 1029-1053. ISBN 9783030357979 doi: 10.1007/978-3-030-35798-6_28

Abstract/Summary

In this chapter, we present an overview of the role of satellite-based rainfall estimates (SREs) in drought risk management applications, ranging from simple anomaly and index-based approaches to cross-cutting drought early warning systems (EWS) and financial instruments such as weather index-based insurance (WII) schemes. We contend that meteorological, hydrological, agricultural, and socioeconomic are aspects – not types – of drought, and a universally acceptable drought definition is not a prerequisite for the effective and efficient assessment of the impacts of drought using SREs and other satellite-based datasets and/or models. This is illustrated through examples from the work of the co-authors, as well as the wider community. The chapter concludes with a synthesis of the challenges for SREs and the current trends in the development and application of SREs in drought risk management, including an outlook of the priorities for future research and applications.

Item Type	Book or Report Section
URI	https://reading-clone.eprints-hosting.org/id/eprint/91052
Item Type	Book or Report Section
Refereed	Yes
Divisions	Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Publisher	Springer
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