代理(统计)
气候变化
句号(音乐)
地理
历史记录
气候学
环境科学
计算机科学
历史
地质学
海洋学
物理
机器学习
声学
回忆录
艺术史
作者
Niko Wanders,Christel Prudhomme,Jean‐Philippe Vidal,Katie Smith,James H. Stagge
出处
期刊:Elsevier eBooks
[Elsevier]
日期:2024-01-01
卷期号:: 525-561
标识
DOI:10.1016/b978-0-12-819082-1.00015-1
摘要
In this chapter, we provide an assessment of how to generate reliable data for analysing drought in three key periods; the distant past, the instrumental period and the future, with the overarching aim to better understand drought behaviour across time, including observed trends and future changes. We discuss how to obtain historical records using proxy data (distant past), how to extend observed time series in space and time (instrumental period) and finally, how to generate hydrological time series based on climate projections. We look at difficulties in obtaining long-term records and how uncertainty plays a role in those long-term records. Finally, we look at changes in drought indices (distant past and instrumental period) and the use of climate change projections for future drought characterisation. This chapter can help you to understand the challenges and opportunities that you get when studying past, recent and future droughts.
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