Canopy structure, topography, and weather are equally important drivers of small-scale snow cover dynamics in sub-alpine forests

<p>In mountain regions, forests that overlap with seasonal snow mostly reside in complex terrain. Due to persisting major observational challenges in these environments, the combined impact of forest structure and topography on seasonal snow cover dynamics is still poorly understood. Recent ad...

Full description

Bibliographic Details
Main Authors: G. Mazzotti, C. Webster, L. Quéno, B. Cluzet, T. Jonas
Format: Article
Language:English
Published: Copernicus Publications 2023-06-01
Series:Hydrology and Earth System Sciences
Online Access:https://hess.copernicus.org/articles/27/2099/2023/hess-27-2099-2023.pdf
_version_ 1827935375989932032
author G. Mazzotti
G. Mazzotti
G. Mazzotti
C. Webster
C. Webster
L. Quéno
B. Cluzet
T. Jonas
author_facet G. Mazzotti
G. Mazzotti
G. Mazzotti
C. Webster
C. Webster
L. Quéno
B. Cluzet
T. Jonas
author_sort G. Mazzotti
collection DOAJ
description <p>In mountain regions, forests that overlap with seasonal snow mostly reside in complex terrain. Due to persisting major observational challenges in these environments, the combined impact of forest structure and topography on seasonal snow cover dynamics is still poorly understood. Recent advances in forest snow process representation and increasing availability of detailed canopy structure datasets, however, now allow for hyper-resolution (<span class="inline-formula"><i>&lt;</i>5</span> m) snow model simulations capable of resolving tree-scale processes. These can shed light on the complex process interactions that govern forest snow dynamics. We present multi-year simulations at 2 m resolution obtained with FSM2, a mass- and energy-balance-based forest snow model specifically developed and validated for metre-scale applications. We simulate an <span class="inline-formula">∼3</span> km<span class="inline-formula"><sup>2</sup></span> model domain encompassing forested slopes of a sub-alpine valley in the eastern Swiss Alps and six snow seasons. Simulations thus span a wide range of canopy structures, terrain characteristics, and meteorological conditions. We analyse spatial and temporal variations in forest snow energy balance partitioning, aiming to quantify and understand the contribution of individual energy exchange processes at different locations and times. Our results suggest that snow cover evolution is equally affected by canopy structure, terrain characteristics, and meteorological conditions. We show that the interaction of these three factors can lead to snow accumulation and ablation patterns that vary between years. We further identify higher snow distribution variability and complexity in slopes that receive solar radiation early in winter. Our process-level insights corroborate and complement existing empirical findings that are largely based on snow distribution datasets only. Hyper-resolution simulations as presented here thus help to better understand how snowpacks and ecohydrological regimes in sub-alpine regions may evolve due to forest disturbances and a warming climate. They could further support the development of process-based sub-grid forest snow cover parameterizations or tiling approaches for coarse-resolution modelling applications.</p>
first_indexed 2024-03-13T07:53:16Z
format Article
id doaj.art-9b02b39ddb414e24abe1b8e9bf756db3
institution Directory Open Access Journal
issn 1027-5606
1607-7938
language English
last_indexed 2024-03-13T07:53:16Z
publishDate 2023-06-01
publisher Copernicus Publications
record_format Article
series Hydrology and Earth System Sciences
spelling doaj.art-9b02b39ddb414e24abe1b8e9bf756db32023-06-02T09:32:14ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382023-06-01272099212110.5194/hess-27-2099-2023Canopy structure, topography, and weather are equally important drivers of small-scale snow cover dynamics in sub-alpine forestsG. Mazzotti0G. Mazzotti1G. Mazzotti2C. Webster3C. Webster4L. Quéno5B. Cluzet6T. Jonas7WSL Institute for Snow and Avalanche Research (SLF), 7260 Davos Dorf, SwitzerlandUniv. Grenoble Alpes, Université de Toulouse, Météo-France, CNRS, CNRM, Centre d'Études de la Neige, 38100 St. Martin d'Hères, FranceInvited contribution by Giulia Mazzotti, recipient of the EGU Hydrological Sciences Virtual Outstanding Student and PhD candidate Presentation Award 2021.WSL Institute for Snow and Avalanche Research (SLF), 7260 Davos Dorf, SwitzerlandDepartment of Geosciences, University of Oslo, 0316 Oslo, NorwayWSL Institute for Snow and Avalanche Research (SLF), 7260 Davos Dorf, SwitzerlandWSL Institute for Snow and Avalanche Research (SLF), 7260 Davos Dorf, SwitzerlandWSL Institute for Snow and Avalanche Research (SLF), 7260 Davos Dorf, Switzerland<p>In mountain regions, forests that overlap with seasonal snow mostly reside in complex terrain. Due to persisting major observational challenges in these environments, the combined impact of forest structure and topography on seasonal snow cover dynamics is still poorly understood. Recent advances in forest snow process representation and increasing availability of detailed canopy structure datasets, however, now allow for hyper-resolution (<span class="inline-formula"><i>&lt;</i>5</span> m) snow model simulations capable of resolving tree-scale processes. These can shed light on the complex process interactions that govern forest snow dynamics. We present multi-year simulations at 2 m resolution obtained with FSM2, a mass- and energy-balance-based forest snow model specifically developed and validated for metre-scale applications. We simulate an <span class="inline-formula">∼3</span> km<span class="inline-formula"><sup>2</sup></span> model domain encompassing forested slopes of a sub-alpine valley in the eastern Swiss Alps and six snow seasons. Simulations thus span a wide range of canopy structures, terrain characteristics, and meteorological conditions. We analyse spatial and temporal variations in forest snow energy balance partitioning, aiming to quantify and understand the contribution of individual energy exchange processes at different locations and times. Our results suggest that snow cover evolution is equally affected by canopy structure, terrain characteristics, and meteorological conditions. We show that the interaction of these three factors can lead to snow accumulation and ablation patterns that vary between years. We further identify higher snow distribution variability and complexity in slopes that receive solar radiation early in winter. Our process-level insights corroborate and complement existing empirical findings that are largely based on snow distribution datasets only. Hyper-resolution simulations as presented here thus help to better understand how snowpacks and ecohydrological regimes in sub-alpine regions may evolve due to forest disturbances and a warming climate. They could further support the development of process-based sub-grid forest snow cover parameterizations or tiling approaches for coarse-resolution modelling applications.</p>https://hess.copernicus.org/articles/27/2099/2023/hess-27-2099-2023.pdf
spellingShingle G. Mazzotti
G. Mazzotti
G. Mazzotti
C. Webster
C. Webster
L. Quéno
B. Cluzet
T. Jonas
Canopy structure, topography, and weather are equally important drivers of small-scale snow cover dynamics in sub-alpine forests
Hydrology and Earth System Sciences
title Canopy structure, topography, and weather are equally important drivers of small-scale snow cover dynamics in sub-alpine forests
title_full Canopy structure, topography, and weather are equally important drivers of small-scale snow cover dynamics in sub-alpine forests
title_fullStr Canopy structure, topography, and weather are equally important drivers of small-scale snow cover dynamics in sub-alpine forests
title_full_unstemmed Canopy structure, topography, and weather are equally important drivers of small-scale snow cover dynamics in sub-alpine forests
title_short Canopy structure, topography, and weather are equally important drivers of small-scale snow cover dynamics in sub-alpine forests
title_sort canopy structure topography and weather are equally important drivers of small scale snow cover dynamics in sub alpine forests
url https://hess.copernicus.org/articles/27/2099/2023/hess-27-2099-2023.pdf
work_keys_str_mv AT gmazzotti canopystructuretopographyandweatherareequallyimportantdriversofsmallscalesnowcoverdynamicsinsubalpineforests
AT gmazzotti canopystructuretopographyandweatherareequallyimportantdriversofsmallscalesnowcoverdynamicsinsubalpineforests
AT gmazzotti canopystructuretopographyandweatherareequallyimportantdriversofsmallscalesnowcoverdynamicsinsubalpineforests
AT cwebster canopystructuretopographyandweatherareequallyimportantdriversofsmallscalesnowcoverdynamicsinsubalpineforests
AT cwebster canopystructuretopographyandweatherareequallyimportantdriversofsmallscalesnowcoverdynamicsinsubalpineforests
AT lqueno canopystructuretopographyandweatherareequallyimportantdriversofsmallscalesnowcoverdynamicsinsubalpineforests
AT bcluzet canopystructuretopographyandweatherareequallyimportantdriversofsmallscalesnowcoverdynamicsinsubalpineforests
AT tjonas canopystructuretopographyandweatherareequallyimportantdriversofsmallscalesnowcoverdynamicsinsubalpineforests