This file contains the datasets used in a manuscript published in JGR Biogeosciences (Nieberding, F., Wille, C., Ma, Y., Wang, Y., Maurischat, P., Lehnert, L., and Sachs, T.: Winter daytime warming and shift in summer monsoon increase plant cover and net CO2 uptake in a central Tibetan alpine steppe ecosystem, Journal of Geophysical Research: Biogeosciences, 126, e2021JG006441, doi:10.1029/2021JG006441, 2021.). The manuscript contains all the details on how the data was generated and processed and the corresponding code was published in the supplementary material.
Felix Nieberding, 马耀明, Christian Wille, Lukas Lehnert, Yuyang Wang, Philipp Maurischat, Weiqiang Ma, Torsten Sachs
基于雅鲁藏布江流域内已有的262个雨量筒2014—2016年逐月降水数据，利用海拔地形校正和线性校正相结合的方法对China Meteorological Administration (CMA) 和 Global Land Data Assimilation Systems (GLDAS)降水数据进行校正，重建了雅鲁藏布江流域及7个子流域1961–2016年10km分辨率的逐日降水数据。利用该数据驱动VIC水文模型模拟了流域及各子流域径流及冰雪面积，并利用实测径流、MODIS及冰川编目数据进行验证。
苏凤阁, 孙赫
The data include daily precipitation (Precip) amount and daily mean near-surface air temperature (T2M) over the Pan Third Pole region. The data is downscaled by using the Weather Research and Forecasting (WRF) model (3.7.1). The boundary and initial condition come from the fifth-generation global reanalysis product by the European Centre for Medium-Range Weather Forecasts (ECMWF), ERA5. The seasonal cycle and summer mean of precipitation over Tibet is well reproduced in comparison to the in situ observations.
Tinghai Ou
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