Global assessment of spatiotemporal variability of wet, normal and dry conditions using multiscale entropy-based approach.

ABSTRACT: In recent decades, human-induced climate change has caused a worldwide increase in the frequency/intensity/duration of extreme events, resulting in enormous disruptions to life and property. Hence, a comprehensive understanding of global-scale spatiotemporal trends and variability of extreme events at different intensity levels (e.g., moderate/severe/extreme) and durations (e.g., short-term/long-term) of normal, dry and wet conditions is essential in predicting/forecasting/mitigating future extreme events. This article analyses these aspects using estimates of a non-stationary standardized precipitation evapotranspiration index corresponding to different accumulation periods for 0.5° resolution CRU grids at globe-scale. Results are analyzed with respect to changes in land-use/landcover and

SUBMITTER: Sreeparvathy V 

PROVIDER: S-EPMC9192772 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature