Reis Cláudia, Lopes António, Nouri A Santos
Universidade de Lisboa, Institute of Geography and Spatial Planning (IGOT), Centre of Geographical Studies, Rua Branca Edmée Marques, Cidade Universitária, 1600-276 Lisboa, Portugal.
Associated Laboratory Terra, Portugal.
Data Brief. 2022 May 17;42:108292. doi: 10.1016/j.dib.2022.108292. eCollection 2022 Jun.
Here we provide Urban Heat Island (UHI) by local weather types (LWT) maps for the Lisbon Metropolitan Area (LMA). These maps were produced from the Copernicus Land Monitoring Service climate variables dataset that contains hourly air temperature raster data for 100 European cities (2008-2017), namely Lisbon and part of its metropolitan area. Over 61000 maps (2008-2014) were extracted in NetCDF format and processed in geographic-information-systems (GIS). An urban mask was created from the recently updated Local Climate Zones (LCZ) classification for this area and a cell of the LCZ class "Low Plants" (non-urban) was chosen to calculate the temperature difference. UHI intensity was estimated using an script. The outputs of this process were divided by thermal seasons and LWT. Ultimately, average UHI intensity by LWT was estimated. Average UHI according to meteorological conditions is available in raster format (Appendix 1), with a spatial resolution of 100 × 100m pixels, as well as hourly average UHI for each LWT (Appendix 2 to 16). This data may provide valuable information for urban planners, designers and architects in the process of pinpointing recurrent hot and cool spots/neighborhoods in the city and its heating/cooling degrees. Moreover, these maps may contribute to a construction of an early warning system that anticipates which weather conditions we might expect an significant increase in thermal discomfort on those critical areas in the city.
在此，我们提供了里斯本大都市区（LMA）按当地天气类型（LWT）划分的城市热岛（UHI）地图。这些地图是根据哥白尼陆地监测服务气候变量数据集制作的，该数据集包含100个欧洲城市（2008 - 2017年）的每小时气温栅格数据，即里斯本及其大都市区的一部分。以NetCDF格式提取了超过61000张地图（2008 - 2014年），并在地理信息系统（GIS）中进行处理。根据该地区最新更新的局部气候区（LCZ）分类创建了城市掩码，并选择LCZ类“低植被”（非城市）的一个像元来计算温度差。使用一个脚本估计城市热岛强度。该过程的输出按热季和当地天气类型进行划分。最终，估计了按当地天气类型划分的平均城市热岛强度。按气象条件划分的平均城市热岛以栅格格式提供（附录1），空间分辨率为100×100米像素，以及每个当地天气类型的每小时平均城市热岛（附录2至16）。这些数据可为城市规划师、设计师和建筑师在确定城市中反复出现的热点和冷点/社区及其供热/制冷程度的过程中提供有价值的信息。此外，这些地图可能有助于构建一个预警系统，预测在哪些天气条件下我们可能预计城市中那些关键区域的热不适会显著增加。
