CAMELE: Collocation-Analyzed Multi-Source Ensembled Land Evapotranspiration data provide an estimation of global land total evapotranspiration at 0.1°-8daily and 0.25°-daily resolutions. The 0.1°-8daily collection covers the period from 20010101 to 20190829, while the 0.25°-daily provides the estimation from 19810101 to 20200831. TCA-based algorithms are used to evaluate the uncertainties and the error cross-correlation value of five widely used global land evapotranspiration products, including ERA5-land total evaporation, FLUXCOM-RS, PMLV2 (Penman-Monteith-Leuning model version 2 global evaporation), GLEAM v3.3a and GLDASv2.1 Noah. By minimizing the mean square error, the optimal weights of each product for linear combination are given using the evaluation results. Multiple information including the core collection method, synthetic experiments, site-based validation and evaluation of the merging data were described in our paper.
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该数据集记录了1981-2020年青海省分行业分地区非私营单位在岗职工工资总额和指数的统计数据，数据是按数据是按农林牧渔业、生产和供应业、和信息技术服务业、设施管理业、其他服务业、文化体育和娱乐业、公共管理、社会保障业来划分的。数据整理自青海省统计局发布的青海省统计年鉴。数据集包含26个数据表，各数据表结构相同。例如2013年的数据表共有10个字段： 字段1：项目 字段2：全省合计 字段3：西宁市 字段4：海东地区 字段5：海北州 字段6：黄南州 字段7：海南州 字段8：果洛州 字段9：玉树州 字段10：海西州
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技术支持：中国科学院十三五信息化专项科学大数据工程项目
2021-10-28
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