Climate variables for cities in Europe from 2008 to 2017 (Deprecated 10-05-2024)

The dataset contains air temperature, specific humidity, relative humidity and wind speed for 100 European cities for the current climate.
The data were generated using the urban climate model UrbClim, developed at VITO. This model was designed to simulate and study the urban heat island effect (UHI) and other urban climate variables at a spatial resolution of 100 metres. The unique capabilities of UrbClim allow to generate spatially explicit timeseries of hourly variables from which a variety of indicators can be retrieved in postprocessing at the scale of a city neighbourhood.
For this specific dataset, the ERA5 reanalysis large-scale weather conditions are downscaled to agglomeration-scale. UrbClim then computes the impact of urban development on the most frequent weather parameters, such as temperature and humidity.
The 100 European cities for the urban simulations were selected based on user requirements within the health community. Furthermore, a high spatial distribution was aimed with specific focus on Eastern European countries that often lack access to relevant information.
The data was produced on behalf of the Copernicus Climate Change Service.

本数据集收录了100个欧洲城市当前气候下的空气温度、比湿、相对湿度和风速数据。该数据集通过VITO开发的都市气候模型UrbClim生成，该模型旨在模拟和研究城市热岛效应（UHI）及其他都市气候变量，其空间分辨率为100米。UrbClim的独特功能使得能够生成具有空间明确性的时序数据，从而在后续处理中，以城市社区规模提取多种指标。对于本数据集，ERA5再分析的大规模天气条件被缩小至聚落尺度。随后，UrbClim计算了城市发展对最常见的天气参数，如温度和湿度的影响。选择100个欧洲城市进行都市模拟是基于健康领域用户的需求，同时追求高空间分布，特别关注那些通常缺乏相关信息的中东欧国家。数据系代表Copernicus气候变化服务生成。