Can weather generation capture precipitation patterns across different climates, spatial scales and under data scarcity?

ABSTRACT: Stochastic weather generators can generate very long time series of weather patterns, which are indispensable in earth sciences, ecology and climate research. Yet, both their potential and limitations remain largely unclear because past research has typically focused on eclectic case studies at small spatial scales in temperate climates. In addition, stochastic multi-site algorithms are usually not publicly available, making the reproducibility of results difficult. To overcome these limitations, we investigated the performance of the reduced-complexity multi-site precipitation generator TripleM across three different climatic regions in the United States. By resampling observations, we investigated for the first time the performance of a multi-site precipitation generator as a function of

SUBMITTER: Breinl K 

PROVIDER: S-EPMC5511179 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature