Finnish Meteorological Institute, PO Box 503, FIN-00101, Helsinki, Finland.
Climate Research Divison, Environment and Climate Change Canada, 4905 Dufferin Street Toronto, Ontario, M3H 5T4, Canada.
Sci Data. 2021 Jul 1;8(1):163. doi: 10.1038/s41597-021-00939-2.
We describe the Northern Hemisphere terrestrial snow water equivalent (SWE) time series covering 1979-2018, containing daily, monthly and monthly bias-corrected SWE estimates. The GlobSnow v3.0 SWE dataset combines satellite-based passive microwave radiometer data (Nimbus-7 SMMR, DMSP SSM/I and DMSP SSMIS) with ground based synoptic snow depth observations using bayesian data assimilation, incorporating the HUT Snow Emission model. The original GlobSnow SWE retrieval methodology has been further developed and is presented in its current form in this publication. The described GlobSnow v3.0 monthly bias-corrected dataset was applied to provide continental scale estimates on the annual maximum snow mass and its trend during the period 1980 to 2018.
我们描述了涵盖 1979-2018 年的北半球陆地雪水当量(SWE)时间序列,其中包含每日、每月和每月经过偏差校正的 SWE 估计值。GlobSnow v3.0 SWE 数据集结合了基于卫星的被动微波辐射计数据(Nimbus-7 SMMR、DMSP SSM/I 和 DMSP SSMIS)和地面同步雪深观测数据,使用贝叶斯数据分析,纳入了 HUT 雪发射模型。原始的 GlobSnow SWE 检索方法得到了进一步的开发,并在本出版物中以当前的形式呈现。所描述的 GlobSnow v3.0 每月经过偏差校正的数据集被应用于提供 1980 年至 2018 年期间年度最大雪量及其趋势的大陆尺度估计值。