Data and Code for paper "Revegetation Impacts on Moisture Recycling and Precipitation Trends in the Chinese Loess Plateau"

Code.zip: Code can be successfully run on MATLAB R2018b;

E_track_continental_full1981-2020-timetracking0.mat: The output of the WAM-2Layers model;

Timeseries of moisture tracking results.xlsx: The results of the moisture tracking process and the component of the precipitation;

Other files: The organized timeseries data, including P, E, ER, NINO3.4, DMI, LAI, RH, Ta, Rn, SM and WS, at annual, rainy season and dry season scale. These files are the input data of the sensitivity and attribution analysis and Stepwise Selection Method.