Hydrology-related climate impact indicators from 1970 to 2100 derived from bias adjusted European climate projections

This dataset provides water variables and indicators based on hydrological impact modelling, forced by bias adjusted regional climate simulations from the European Coordinated Regional Climate Downscaling Experiment (EURO-CORDEX). The dataset contains Essential Climate Variable (ECV) data in the form of daily mean river discharge and a set of climate impact indicators (CIIs) for both water quantity and quality.
ECV datasets provide the empirical evidence needed to understand the current climate and predict future changes.
CIIs contain condensed climate information which facilitate relatively quick and efficient subsequent analysis. Therefore, CIIs make climate information accessible to application focussed users within a sector.
The ECVs and CIIs provided here were derived within the water management sectoral information service to address questions specific to the water sector. However, the products are provided in a generic form and are relevant for a range of sectors, for example agriculture and energy.
The data represent the current state-of-the-art in Europe for regional climate and hydrological modelling and indicator production. Eight bias adjusted model simulations from the EURO-CORDEX EUR-11 were used to force a multi-model setup of the hydrological model E-HYPEcatch at a pan-European domain. A total of 18 water quality and quantity CIIs and 1 water ECV are provided in this dataset at catchment scale and on a 5km x 5km grid.
The CIIs are provided as mean values over a 30-year time period. For the reference period (1971-2000) data is provided as absolute values, for the future periods the data is provided as absolute values and as the relative or absolute change from the reference period. The future periods cover 3 fixed time periods (2011-2040, 2041-2070 and 2071-2100) and 3 "degree scenario" periods defined by when global warming exceeds a given threshold (1.5 °C, 2.0 °C and 3.0 °C). The global warming is calculated from the global climate model (GCM) used, therefore the actual time period of the degree scenarios will be different for each GCM.
The river discharge ECV data meet the technical specification set by the Global Climate Observing System (GCOS), as such they are provided on a daily time step. Note these are model output data, not observation data as is the general case for ECVs.
This dataset is produced and quality assured by the Swedish Meteorological and Hydrological Institute on behalf of the Copernicus Climate Change Service.

本数据集基于水文影响模拟，提供了由欧洲区域气候协调降尺度实验（EURO-CORDEX）区域气候模拟偏差调整后的水变量和指标。数据集包含基本气候变量（ECV）数据，形式为日平均河流径流以及一组针对水量和质量的气候影响指标（CIIs）。ECV数据集提供了理解当前气候和预测未来变化的实证依据。CIIs包含了浓缩的气候信息，便于后续快速高效的分析，因此，CIIs使得气候信息对于关注应用领域的用户变得易于获取。此处提供的ECVs和CIIs是在水管理领域的信息服务中生成的，旨在解决特定于水行业的问题。然而，这些产品以通用形式提供，适用于多个领域，例如农业和能源。数据代表了欧洲在区域气候和水文建模以及指标生产方面的最新技术水平。数据集使用了EURO-CORDEX EUR-11的八个偏差调整模型模拟，以驱动E-HYPEcatch水文模型在整个欧洲域的多模型设置。在本数据集中，提供了在流域尺度上以5km x 5km网格提供的18个水质和水量CIIs以及1个水质ECV。CIIs以30年时间段内的平均值提供。对于参考期（1971-2000），数据以绝对值提供，对于未来时期，数据以绝对值以及相对于参考期的相对或绝对变化提供。未来时期包括3个固定时间段（2011-2040，2041-2070和2071-2100）以及3个“度数情景”时间段，这些时间段由全球变暖超过特定阈值（1.5°C，2.0°C和3.0°C）的时间定义。全球变暖由使用的全球气候模型（GCM）计算，因此，每个GCM的度数情景的实际时间期将有所不同。河流径流ECV数据符合全球气候观测系统（GCOS）设定的技术规范，因此它们以每日时间步提供。请注意，这些是模型输出数据，而非观测数据，这是ECVs的一般情况。本数据集由瑞典气象和水文研究所代表哥白尼气候变化服务生产并保证质量。