Clear-sky profile database for the development of Land Surface Temperature algorithms

This dataset includes clear sky atmospheric profiles from the European Centre for Medium Range Forecast (ECMWF) version-5 reanalysis (ERA5), specially selected to support the development of algorithms of Land Surface Temperature (LST) retrieval from Earth observation (EO) data. The profiles were re-sampled from an ERA5 dataset covering the 2009-2019 period, with a 1x1 degree spatial resolution, hourly sampling and using the full vertical resolution (137 model levels). The re-sampling technique is based on a dissimilarity criterion applied to profiles of temperature and specific humidity, in order to obtain regular distributions of atmospheric variables of relevance for LST retrieval in the Thermal Infrared (TIR) spectral range. The database is limited to clear-sky conditions over land, being therefore suitable for the development of satellite land products relying on optical and thermal infrared imagery in general, despite targeting especially LST. <strong>Dataset description:</strong> The dataset is divided in multiple netCDF4 files based on the range of skin temperature (Tskin; Kelvin) and the range of total column water vapour (TCWV; mm). Each file includes the following variables: Time Longitude Latitude 2-m temperature (t2m) Surface pressure (sp) Total cloud cover (tcc) Total column water vapour (tcwv) Skin temperature (skt) Surface emissivity (emis) Land cover classification (lcc) Temperature profile (t) Specific humidity profile (q) Ozone profile (o3) Pressure profile (p) All profiles are provided on model levels. For each profile, 6 values of skin temperature and 25 values of emissivity are provided (see publication for details). Emissivity values correspond to the wavelengths of ~11 and ~12 µm. <strong>Credit:</strong> To use this data please cite this dataset and the respective journal publication: Ermida, S.L.; Trigo, I.F. (2022) A Comprehensive Clear-Sky Database for the Development of Land Surface Temperature Algorithms. <em>Remote Sens.</em>, <em>14</em>, 2329. https://doi.org/10.3390/rs14102329 <strong>Access: </strong> Currently, Zenodo does not provide a simple way to download datasets with a large number of files. We recomend trying the Zenodo_get to simplify the download.本数据集收录了源自欧洲中期天气预报中心（European Centre for Medium Range Forecast, ECMWF）第五版再分析资料（ERA5）的晴空大气廓线，经针对性筛选，用于支撑基于对地观测（Earth observation, EO）数据的地表温度（Land Surface Temperature, LST）反演算法的研发。 该廓线数据集源自覆盖2009-2019年时段的ERA5原始数据集，经重采样处理得到，空间分辨率为1°×1°，采样间隔为逐小时，且完整保留了原始数据的垂直分辨率（共计137个模式层）。本次重采样基于温度与比湿廓线的相异度准则，旨在获取与热红外（Thermal Infrared, TIR）波段地表温度反演相关的大气变量的规则分布。本数据库仅涵盖陆地区域的晴空条件，虽以地表温度反演为核心研发目标，但同样适用于一般依赖光学与热红外影像的卫星陆地产品开发。 数据集说明：本数据集按地表温度（Tskin；单位：开尔文）与总柱水汽（Total Column Water Vapour, TCWV；单位：毫米）的取值范围，划分为多个netCDF4格式文件。每个文件包含以下变量：时间、经度、纬度、2米温度（t2m）、地表气压（sp）、总云量（tcc）、总柱水汽（tcwv）、地表温度（skt）、地表发射率（emis）、土地覆盖分类（lcc）、温度廓线（t）、比湿廓线（q）、臭氧廓线（o3）、气压廓线（p）。所有廓线均以模式层格式提供。针对每条廓线，共提供6组地表温度值与25组发射率值（详细信息参见相关发表论文）。其中发射率值对应约11μm与约12μm的波长区间。 引用要求：使用本数据集时，请同时引用本数据集与对应的期刊论文：Ermida, S.L.; Trigo, I.F. (2022) A Comprehensive Clear-Sky Database for the Development of Land Surface Temperature Algorithms. *Remote Sens.*, *14*, 2329. https://doi.org/10.3390/rs14102329 获取方式：目前，Zenodo暂未提供批量下载大量文件数据集的简易途径，建议使用Zenodo_get工具简化下载流程。