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A framework for developing high-resolution multi-model climate projections: 21st century scenarios for the UK

机译:开发高分辨率多模式气候预测的框架:英国的21世纪场景

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This article proposes a framework for building climate projections from an ensemble of global circulation models (GCMs) at the local scale required for impact studies. The proposed method relies on a fine-scale gridded baseline climatology and consists of the following steps: (1) building appropriate precipitation and temperature time series from land areas covered by GCM sea cells; (2) correction of GCM outputs inherent biases through 'quantile-based mapping'; and (3) disaggregation of bias-corrected outputs with monthly spatial anomalies between GCM-specific and observed spatial scales. The overall framework is applied to derive 21st century seasonal climate projections and inter-annual variability for the UK based on an ensemble of six GCMs run under two different emissions scenarios. Results show a large dispersion of changes within the multi-GCM ensemble, along with a good comparison between scenarios from individual ensemble members and from previous UK and European studies using dynamically downscaled outputs from corresponding GCMs. The framework presented in this article provides appropriate outputs to take account of the uncertainty in global model configuration within impacts studies that are influencing current decisions on major investments in flood risk management and water resources. Copyright (C) 2007 Royal Meteorological Society.
机译:本文提出了一个框架,用于根据影响研究所需的本地规模的全球循环模型(GCM)集合建立气候预测。所提出的方法依赖于细尺度的网格基线气候,并包括以下步骤:(1)从GCM海细胞覆盖的陆地区域建立适当的降水和温度时间序列; (2)通过“基于分位数的映射”校正GCM输出的固有偏差; (3)按GCM特定值和观察到的空间尺度之间每月空间异常对偏差校正输出进行分解。基于在两种不同排放情景下运行的六个GCM的集合,整个框架可用于得出21世纪英国的季节气候预测和年际变化。结果显示,在多个GCM集成中,变化的分散程度很大,并且使用了相应GCM的动态缩减后的输出,很好地比较了各个集成成员的情景以及来自先前英国和欧洲研究的情景。本文提供的框架提供了适当的输出,以考虑影响研究的全球模型配置的不确定性,这些影响影响当前对洪水风险管理和水资源重大投资的决策。皇家气象学会(C)2007。

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