Space–time trends and dependence of precipitation extremes in North‐Western Germany

The assessment of long‐term trends in environmental extremes is a challenging and important subject in the current discussion on global climate change. We propose a new approach for evaluating temporal trends and spatial homogeneity in extremes accounting also for spatial dependence. Based on exceedances over a space–time threshold, we provide estimators for a so‐called scedasis function and the extreme value parameters. Two novel test statistics based on the scedasis function provide a way to assess space–time inhomogeneities. Finally, we propose a procedure to achieve stationarity in space and time and evaluate residual extremal dependence over space through a variogram analysis that includes anisotropy.

• Publication year

  2020

• Venue

  Environmetrics

• Publication date

  2020-05-01

• Fields of study

  Geography, Environmental Science

• Identifiers
  DOI 10.1002/env.2605
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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