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  • This briefing by the Stockholm Environment Institute describes a non-parametric statistical downscaling methodology using the k-nearest neighbors (k-NN) method to generate synthetic regional climate series for temperature and precipitation between 2020 and 2100. These series are designed to inform the Water Evaluation and Planning (WEAP) system to help water service providers and environmental agencies develop robust adaptation alternatives and vulnerability analyses for water systems.

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    This summary is written by a language model reading the source document. It is not the publisher's words and is not a substitute for the original.

    Themes: climate changedownscalingwater resource planningk-nncmip5
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    precipitationtemperature
    Stockholm Environment Institute

    Document type: Briefing

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