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Comparison of open access global climate services for hydrological data
Hydrological Sciences Journal ( IF 3.5 ) Pub Date : 2020-10-21 , DOI: 10.1080/02626667.2020.1820012
J. Merks 1 , C. Photiadou 2 , F. Ludwig 1 , B. Arheimer 2
Affiliation  

ABSTRACT

There is a high demand for openly accessible hydroclimatic data for climate change adaptation. Different data sources are available, however, discrepancy between the data can confuse users and should be evaluated and explained. This study, investigates how climate impact indicators (CIIs) developed for global users in the Copernicus Climate Change Service (C3S) are comparable to other openly available global data for water and climate. We found that, for temperature, datasets are comparable and climate impacts are thus considered robust. Important discrepancies arise in the precipitation indicators. Of the CIIs analysed in this study, the hydrological CIIs differ most so they should be used with care. These differences are probably caused by model uncertainty (hydrological model, HM; global climate model, GCM), ensemble size and model selection. A HM ensemble, as well as a GCM ensemble combined with improved model performance and selection criteria, should be used to ensure high-quality global water and climate services.



中文翻译:

水文数据开放获取全球气候服务的比较

摘要

对可公开访问的水文气候数据以适应气候变化的需求很高。可以使用不同的数据源,但是,数据之间的差异会使用户感到困惑,应该进行评估和解释。本研究调查了哥白尼气候变化服务 (C3S) 为全球用户开发的气候影响指标 (CII) 如何与其他公开可用的全球水和气候数据进行比较。我们发现,对于温度,数据集具有可比性,因此气候影响被认为是稳健的。降水指标出现了重要的差异。在本研究中分析的 CII 中,水文 CII 差异最大,因此应谨慎使用。这些差异可能是由模式不确定性(水文模式,HM;全球气候模式,GCM)、集合规模和模式选择引起的。

更新日期:2020-10-21
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