%0 Dataset
%T Evapotranspiration dataset of Arctic land vegetation significantly greening areas (1982-2015)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/561b09b3-00d0-4f14-b438-fbb9db817eec
%W NCDC
%R 10.12072/ncdc.arctic-change.db7151.2026
%A Yu Linfei
%K Arctic;multi-source data;land evapotranspiration
%X This dataset provides evapotranspiration (ET) data for the vegetation significantly greening areas in July and August over Arctic land from 1982 to 2015, with a spatial resolution of 10 km and projected using the Equal-Area Scalable Earth Grid (EASE-Grid 2.0). The dataset is constructed by integrating multiple evapotranspiration products, combining three mainstream ET products—GLEAM, SynthesizedET, and TerraClimate—with robustness and spatiotemporal coverage enhanced through ensemble averaging. The delineation of significantly greening vegetation areas is based on multi-source remote sensing and reanalysis NDVI data. Through long-term trend analysis and significance testing, pixels that exhibited sustained significant greening (p < 0.05) during July and August from 1982 to 2015 were extracted to form a dynamically changing "significantly greening area mask." Building on this, multi-source evapotranspiration products were fused and cropped within this mask to generate a gridded evapotranspiration dataset specific to vegetation greening areas. Data quality control includes consistency verification and bias correction of multi-source ET products, independent validation based on FLUXNET flux tower observations, and uncertainty propagation assessment of the greening mask.