Estimating Seasonally Frozen Ground Depth From Historical Climate Data and Site Measurements Using a Bayesian Model
Author:
Affiliation:
1. State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic EngineeringTsinghua University Beijing China
2. Earth and Environmental Sciences AreaLawrence Berkeley National Laboratory Berkeley CA USA
Funder
China Scholarship Council
National Natural Science Foundation of China
Publisher
American Geophysical Union (AGU)
Subject
Water Science and Technology
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1029/2017WR022185
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