Increasing the Physical Representation of Forest‐Snow Processes in Coarse‐Resolution Models: Lessons Learned From Upscaling Hyper‐Resolution Simulations-Reference-Cited by-同舟云学术

Increasing the Physical Representation of Forest‐Snow Processes in Coarse‐Resolution Models: Lessons Learned From Upscaling Hyper‐Resolution Simulations

Published:2021-05 Issue:5 Volume:57 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Res

Author:

Mazzotti Giulia¹²^ORCID,Webster Clare¹^ORCID,Essery Richard³^ORCID,Jonas Tobias¹^ORCID

Affiliation:

1. WSL Institute for Snow and Avalanche Research SLF Davos Dorf Switzerland

2. Laboratory of Hydraulics, Hydrology and Glaciology ETHZ Zurich Switzerland

3. School of Geosciences University of Edinburgh Edinburgh UK

Funder

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Natural Environment Research Council

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2020WR029064

Reference81 articles.

1. Vegetation masking effect on future warming and snow albedo feedback in a boreal forest region of northern Eurasia according to MIROC‐ESM

2. Snowmelt rate dictates streamflow

3. Modified treatment of intercepted snow improves the simulated forest albedo in the Canadian Land Surface Scheme

4. The Joint UK Land Environment Simulator (JULES), model description – Part 1: Energy and water fluxes

5. Measurements and modelling of snowmelt and turbulent heat fluxes over shrub tundra

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