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

Breinl, Korbinian, Di Baldassarre, Giuliano, Girons Lopez, Marc, Hagenlocher, Michael, Vico, Giulia and Rutgersson, Anna, (2017). Can weather generation capture precipitation patterns across different climates, spatial scales and under data scarcity?. Scientific Reports, (7), 5449-n/a

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  • Sub-type Journal article
    Author Breinl, Korbinian
    Di Baldassarre, Giuliano
    Girons Lopez, Marc
    Hagenlocher, Michael
    Vico, Giulia
    Rutgersson, Anna
    Title Can weather generation capture precipitation patterns across different climates, spatial scales and under data scarcity?
    Appearing in Scientific Reports
    Issue No. 7
    Publication Date 2017-07-14
    Place of Publication Tokyo
    Publisher Macmillan Publishers Limited/Springer Nature
    Start page 5449
    End page n/a
    Language eng
    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 the extent of the gauge network and the network density. The definition of the role of the network density provides new insights into the applicability in data-poor contexts. The performance was assessed using nine different statistical metrics with main focus on the inter-annual variability of precipitation and the lengths of dry and wet spells. Among our study regions, our results indicate a more accurate performance in wet temperate climates compared to drier climates. Performance deficits are more marked at larger spatial scales due to the increasing heterogeneity of climatic conditions.
    Keyword Atmospheric science
    Hydrology
    Natural science
    Copyright Holder Korbinian Breinl
    Copyright Year 2017
    Copyright type Creative commons
    DOI 10.1038/s41598-017-05822-y
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    Created: Tue, 01 Aug 2017, 22:53:20 JST by Aarti Basnyat on behalf of UNU EHS