Developing machine learning‐based snow depletion curves and analysing their sensitivity over complex mountainous areas-Reference-Cited by-同舟云学术

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Developing machine learning‐based snow depletion curves and analysing their sensitivity over complex mountainous areas

Published:2021-08 Issue:8 Volume:35 Page:
ISSN:0885-6087
Container-title:Hydrological Processes
language:en
Short-container-title:Hydrological Processes

Author:

Hou Jinliang¹^ORCID,Huang Chunlin¹,Chen Weijing²,Zhang Ying¹

Affiliation:

1. Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote Sensing Experimental Research Station Northwest Institute of Eco‐Environment and Resources, Chinese Academy of Sciences Lanzhou China

2. Jackson School of Geosciences, Department of Geological Sciences The University of Texas at Austin Austin Texas

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/hyp.14303

Reference43 articles.

1. Assimilating remotely sensed snow observations into a macroscale hydrology model

2. Generating Observation-Based Snow Depletion Curves for Use in Snow Cover Data Assimilation

3. LIBSVM

4. Assimilation of snow covered area information into hydrologic and land-surface models

5. Fractional snow cover estimation in complex alpine-forested environments using an artificial neural network

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improving climate model skill over High Mountain Asia by adapting snow cover parameterization to complex-topography areas;The Cryosphere;2023-12-04

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