Random forests as a tool to understand the snow depth distribution and its evolution in mountain areas-Reference-Cited by-同舟云学术

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Random forests as a tool to understand the snow depth distribution and its evolution in mountain areas

Published:2020-11-02 Issue:26 Volume:34 Page:5384-5401
ISSN:0885-6087
Container-title:Hydrological Processes
language:en
Short-container-title:Hydrological Processes

Author:

Revuelto Jesús¹²^ORCID,Billecocq Paul¹³^ORCID,Tuzet François¹⁴,Cluzet Bertrand¹^ORCID,Lamare Maxim¹^ORCID,Larue Fanny⁴^ORCID,Dumont Marie¹^ORCID

Affiliation:

1. Université Grenoble Alpes Université de Toulouse, Météo‐France‐CNRS, CNRM, Centre d’Etudes de la Neige Grenoble France

2. Instituto Pirenaico de Ecología Consejo Superior de Investigaciones Científicas (IPE‐CSIC) Zaragoza Spain

3. GRIMP Université de Sherbrooke Sherbrooke Quebec Canada

4. UGA,CNRS Institut des Géosciences de l’Environnement (IGE) Grenoble France

Funder

FRAXA Research Foundation

Université Grenoble Alpes

AXA Research Fund

Publisher

Wiley

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/hyp.13951

Reference78 articles.

1. Evaluation of spatial variability in snow water equivalent for a high mountain catchment

2. Potential impacts of a warming climate on water availability in snow-dominated regions

3. A comparison between two statistical and a physically-based model in snow water equivalent mapping

4. Simulation of Discharge using Different Methods of Meteorological Data Distribution, Basin Discretization and Snow Modelling

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