HydEF (Hydrological extremes and feedbacks in the changing water cycle) project: Thames catchment daily weather data (NERC grant NE/I006656/1)

This is a daily weather dataset that was produced to support hydrological modelling of the Thames catchment including use of the JULES land surface model https://jules.jchmr.org/ . It contains daily values of each of seven weather variables: air pressure, precipitation, wind speed, air temperature, wet bulb temperature, short wave radiation and cloud cover. The dataset was developed from the Met Office Integrated Data Archive System (MIDAS) to enable the calibration of multisite, multivariate weather generators that could be used to provide inputs to JULES using the Rglimclim software package (http://www.homepages.ucl.ac.uk/~ucakarc/work/glimclim.html). The inputs were to be provided both at the station locations, and over a 5x5km2 grid located over the Kennet subcatchment. Topographic and other relevant information is provided for all relevant locations. The weather data contain many missing values: no attempt has been made to restore or interpolate these, since (a) the amount of missing data is so large that any interpolation exercise could have induce substantial biases in the final results of the hydrological modelling (b) Rglimclim does not require complete data records to produce a coherent weather generator.

本数据集为每日气象数据集，旨在支持泰晤士河流域的水文模型构建，包括对JULES陆地表面模型的运用（https://jules.jchmr.org/）。数据集涵盖了七个气象变量的每日数值，包括气压、降水量、风速、气温、露点温度、短波辐射和云量。该数据集由气象局综合数据存档系统（MIDAS）开发，旨在校准多站点、多变量的气象生成器，这些生成器可用于向JULES提供输入，具体通过Rglimclim软件包（http://www.homepages.ucl.ac.uk/~ucakarc/work/glimclim.html）实现。输入数据既包括站点位置，也包括覆盖肯尼特子流域的5x5km²网格区域。为所有相关位置提供了地形和其他相关信息。气象数据中包含大量缺失值：由于（a）缺失数据量巨大，任何插值操作都可能对水文模型最终结果产生显著的偏差；（b）Rglimclim软件无需完整的数据记录即可生成连贯的气象生成器，因此未尝试恢复或插补这些缺失值。