Gap-filled Multivariate Observations of Global Land-climate Interactions

The NETCDF encompasses monthly time series spans the years 1995-2020 globally at 0.5-degree resolution with gap-free estimates of nine variables, gap-filled using the CLIMFILL (CLIMate data gapFILL) framework [1,2] The nine variables are: - surface layer soil moisture from the Climate Change Initiative (CCI) of the European Space Agency (ESA), - land surface temperature and - diurnal temperature range from the Moderate Resolution Imaging Spectroradiometer (MODIS), - precipitation from the Global Precipitation Measurement (GPM), - terrestrial water storage from the Gravity Recovery and Climate Experiment (GRACE), - ESA-CCI burned area, - ESA-CCI snow cover fraction, - two-meter temperature and precipitation from the Climate Research Unit (CRU). Note: this dataset is only validated and tested for the use cases in the accompanying study (DOI to come). Please have caution using the data for analysis that might include trends in high latitude, in regions where the variable has high fraction of missing values, or in mountainous regions. References: [1] Bessenbacher, V., Seneviratne, S.I. and Gudmundsson, L. (2022): CLIMFILL v0.9: a framework for intelligently gap filling Earth observations. Geosci. Model Dev., 15, 4569–4596, 2022 https://doi.org/10.5194/gmd-15-4569-2022 [2] https://github.com/climachine/climfill/releases/tag/1.0本NETCDF数据集涵盖1995至2020年的逐月时间序列数据，全球覆盖，分辨率为0.5度，包含9个变量的无间隙估算结果，所有缺失值通过CLIMFILL（CLIMate data gapFILL）框架[1,2]完成填补。 该数据集包含的9个变量如下： - 欧洲空间局（European Space Agency, ESA）气候变化倡议（Climate Change Initiative, CCI）提供的表层土壤湿度； - 中分辨率成像光谱仪（Moderate Resolution Imaging Spectroradiometer, MODIS）获取的地表温度与昼夜温差； - 全球降水测量任务（Global Precipitation Measurement, GPM）的降水数据； - 重力恢复与气候实验（Gravity Recovery and Climate Experiment, GRACE）的陆地水储量数据； - ESA-CCI火烧面积数据； - ESA-CCI积雪覆盖分数数据； - 气候研究单元（Climate Research Unit, CRU）提供的2米气温与降水数据。 注意：本数据集仅针对配套研究（DOI待发布）中的应用场景完成验证与测试。若将该数据用于包含高纬度地区趋势分析、变量缺失值占比偏高区域，或山区的分析工作，请谨慎使用。 参考文献： [1] Bessenbacher, V., Seneviratne, S.I. 与 Gudmundsson, L. (2022): CLIMFILL v0.9：地球观测数据智能间隙填补框架. 《Geosci. Model Dev.》（地球科学模型开发）, 15, 4569–4596, 2022 https://doi.org/10.5194/gmd-15-4569-2022 [2] https://github.com/climachine/climfill/releases/tag/1.0