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Updated: Sep 8, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
Protocol to discover terrain-precipitation relationships with interpretable artificial intelligence
Hao Xu1, Yuntian Chen2, Zhenzhong Zeng3
1Zhejiang Key Laboratory of Industrial Intelligence and Digital Twin, Eastern Institute of Technology, Ningbo, Zhejiang 315200, China; Ningbo Institute of Digital Twin, Eastern Institute of Technology, Ningbo, Zhejiang 315200, P.R. China; Department of Electrical Engineering, Tsinghua University, Beijing 100084, P.R. China.
Abstract:
The relationship between terrain and precipitation is a crucial aspect of climate science. Here, we describe a protocol for uncovering the underlying laws governing this relationship via interpretable artificial intelligence. We describe the steps for preparing datasets, constructing algorithms, and discovering explicit equations. We then detail the construction of an iterative optimization of knowledge generation and utilization for the projection of future precipitation. For complete details on the use and execution of this protocol, please refer to Xu et al.1.
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