Derived Optimal Linear Combination Evapotranspiration - DOLCE v3.0
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DOLCE V3.0 is an observationally constrained hybrid Evapotranspiration (ET) dataset with uncertainty estimates. It is derived by merging four global ET datasets: ERA5-land (Muñoz S. J., 2019) FLUXCOM METEO+RS (Jung et al., 2019) GLEAM v3.5a and GLEAM v3.5b (Martens B. et al., 2017). The combination of these parent datasets is based on their performance against flux tower ET, and accounts for their error dependency. The weights assigned to the parent datasets vary by seasons (Dec-May / Jun-Nov) and climate regimes based on a simplified climate regime map. DOLCE V3.0 provides time-variant estimates of its uncertainty errors. Similar to DOLCE V2.1, DOLCE V3.0 is monthly, has 0.25-degree spatial resolution, available over 1980 - 2018, and covers the global land. DOLCE V3.0 is suitable for time-series and trends analysis. The reduced number of participating datasets compared to previous versions is to ensure temporal consistency throughout the covered time period.In comparison, DOLCE V2.1, which was derived from the combination of 11 global datasets, is suitable for climatological analysis, and is less biased against flux tower observations than DOLCE V3.0. However, temporal inconsistencies around the years 2001 and 2016 were detected in DOLCE V2.1 over the tropics. These inconsistencies result from the different lengths of records of the parent datasets. We, therefore, advise the user to select an appropriate dataset for their research based on the application. References Muñoz Sabater, J., (2019): ERA5-Land monthly averaged data from 1981 to end of 2018. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). (Accessed on 01-08-2020 ), 10.24381/cds.68d2bb3 Martens, B., Miralles, D.G., Lievens, H., van der Schalie, R., de Jeu, R.A.M., Fernández-Prieto, D., Beck, H.E., Dorigo, W.A., and Verhoest, N.E.C.: GLEAM v3: satellite-based land evaporation and root-zone soil moisture, Geoscientific Model Development, 10, 1903–1925, doi: 10.5194/gmd-10-1903-2017, 2017. Jung, M., Koirala, S., Weber, U. et al. The FLUXCOM ensemble of global land-atmosphere energy fluxes. Sci Data 6, 74 (2019). doi: 10.1038/s41597-019-0076-8 Acknowledgements We thank Franklin (Pete) Robertson (NASA Marshall Space Flight Center) for his valuable contribution to DOLCE V3.0.
DOLCE V3.0是一款受观测约束的混合蒸散量（Evapotranspiration，ET）数据集，附带不确定性估算结果。它通过融合四款全球蒸散量数据集构建而成： ERA5-land（穆尼奥斯·萨巴特，2019）、FLUXCOM METEO+RS（荣格等，2019）、GLEAM v3.5a与GLEAM v3.5b（马滕斯等，2017）。 上述源数据集的融合依据其针对通量塔蒸散量观测的表现，并考虑了各数据集的误差相关性。分配给各源数据集的权重随季节（12月-次年5月/6月-11月）和气候分区变化，权重分配基于简化的气候分区地图。DOLCE V3.0提供时变的不确定性误差估算结果。 与DOLCE V2.1类似，DOLCE V3.0为月度数据集，空间分辨率为0.25度，时间覆盖范围为1980年至2018年，全域覆盖全球陆地区域。 DOLCE V3.0适用于时间序列与趋势分析。相较于前代版本，本次参与融合的源数据集数量有所减少，目的是确保覆盖时段内的时间一致性。相较而言，DOLCE V2.1由11款全球数据集融合构建，适用于气候学分析，且相较于DOLCE V3.0，其针对通量塔观测的偏差更小。但在DOLCE V2.1中，热带区域在2001年和2016年前后被检测到存在时间不一致性问题，该问题源于各源数据集的记录时长存在差异。因此，我们建议用户根据自身研究的应用场景选择合适的数据集。 参考文献 穆尼奥斯·萨巴特（Muñoz Sabater, J.），2019年：1981年至2018年末的ERA5-Land逐月平均数据，哥白尼气候变化服务局（Copernicus Climate Change Service，C3S）气候数据存储库（Climate Data Store，CDS），（2020年8月1日获取），DOI: 10.24381/cds.68d2bb3。 马滕斯（Martens, B.）、米拉尔莱斯（Miralles, D.G.）、利文斯（Lievens, H.）、范德沙利（van der Schalie, R.）、德容（de Jeu, R.A.M.）、费尔南德斯-普列托（Fernández-Prieto, D.）、贝克（Beck, H.E.）、多里戈（Dorigo, W.A.）与维尔霍斯特（Verhoest, N.E.C.）：《GLEAM v3：基于卫星的陆地蒸发与根区土壤湿度》，《地球科学模型开发》，10卷，1903–1925页，DOI: 10.5194/gmd-10-1903-2017，2017年。 荣格（Jung, M.）、科伊拉拉（Koirala, S.）、韦伯（Weber, U.）等：《全球陆地-大气能量通量的FLUXCOM集合》，《科学数据》，6卷，74页（2019年），DOI: 10.1038/s41597-019-0076-8。 致谢 感谢富兰克林（“皮特”）·罗伯逊（美国国家航空航天局（NASA）马歇尔太空飞行中心）为DOLCE V3.0提供的宝贵贡献。
