Impact of snow cover on the surface energy balance and its contribution to the extreme cold wave in Spain after snowstorm Filomena

Snow cover can significantly alter the energy fluxes that take part on the surface energy balance (SEB), which subsequently affects surface air temperature. However, studies of the influence of snow cover on the SEB are scarce due to limited observational data and usually constrained to high altitudes or mountainous areas. In this study, the SEB is analysed under two differentiated land surface conditions: with and without snow cover, for a non-mountainous region in the midlatitudes. This is done in order to analyse the physical processes leading to one of the most extreme and disruptive cold waves of the present century in Spain. The cold wave took place in January 2021 after historical snowstorm Filomena left widespread snowfall amounts of 30–50 cm in the interior of Spain. By means of analysis of in-situ observational data from a micrometeorological tower and synoptic fields, we determine the contribution of synoptic and microscale processes to the extremely cold surface air temperatures recorded. The SEB analysis reveals the decisive role of snow cover in the cold wave. Surface albedo increased from 20 % to 80 %, leading to a 60 % decrease in the surface net radiative flux. Together with weak turbulence conditions due to weak synoptic forcing, this allowed extraordinarily low surface air temperatures. Thus, this event stands out from the typical pattern leading to cold waves in this region, characterised by cold air advection. This study highlights the importance of having observational data of micrometeorological variables, which have proven very insightful into the physical mechanisms contributing to the cold wave. • Snow cover has a clear impact on the surface energy balance fluxes, subsequently impacting near-surface atmospheric variables. • Surface net radiative heat flux was reduced up to 60 % due to snow cover, favouring very low surface air temperatures. • Extreme cold spell subsequent to snowstorm Filomena was mainly driven by the enhanced influence of microscale processes. • Contribution of low turbulence and clear-sky conditions to the very cold surface air temperatures.

Authors

Institutions

Publication Details

Journal
Atmospheric Research
Published
2025-02-26
DOI
https://doi.org/10.1016/j.atmosres.2025.108015
Citations
6
Primary Topic
Meteorological Phenomena and Simulations
Type
article
Field-Weighted Citation Impact
7.80

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of snow cover on the surface energy balance and its contribution to the extreme cold wave in Spain after snowstorm Filomena

Pablo Fernández-Castillo, Carlos Yagüe, Carlos Román‐Cascón
6 citations
Atmospheric Research
Meteorological Phenomena and Simulations
7.80
article

Impact of snow cover on the surface energy balance and its contribution to the extreme cold wave in Spain after snowstorm Filomena

Pablo Fernández-Castillo, Carlos Yagüe, Carlos Román‐Cascón
article en
6 citations

Abstract

Snow cover can significantly alter the energy fluxes that take part on the surface energy balance (SEB), which subsequently affects surface air temperature. However, studies of the influence of snow cover on the SEB are scarce due to limited observational data and usually constrained to high altitudes or mountainous areas. In this study, the SEB is analysed under two differentiated land surface conditions: with and without snow cover, for a non-mountainous region in the midlatitudes. This is done in order to analyse the physical processes leading to one of the most extreme and disruptive cold waves of the present century in Spain. The cold wave took place in January 2021 after historical snowstorm Filomena left widespread snowfall amounts of 30–50 cm in the interior of Spain. By means of analysis of in-situ observational data from a micrometeorological tower and synoptic fields, we determine the contribution of synoptic and microscale processes to the extremely cold surface air temperatures recorded. The SEB analysis reveals the decisive role of snow cover in the cold wave. Surface albedo increased from 20 % to 80 %, leading to a 60 % decrease in the surface net radiative flux. Together with weak turbulence conditions due to weak synoptic forcing, this allowed extraordinarily low surface air temperatures. Thus, this event stands out from the typical pattern leading to cold waves in this region, characterised by cold air advection. This study highlights the importance of having observational data of micrometeorological variables, which have proven very insightful into the physical mechanisms contributing to the cold wave. • Snow cover has a clear impact on the surface energy balance fluxes, subsequently impacting near-surface atmospheric variables. • Surface net radiative heat flux was reduced up to 60 % due to snow cover, favouring very low surface air temperatures. • Extreme cold spell subsequent to snowstorm Filomena was mainly driven by the enhanced influence of microscale processes. • Contribution of low turbulence and clear-sky conditions to the very cold surface air temperatures.

Atmospheric ResearchVol. 320
Universidad Complutense de Madrid (ES), Universidad de Cádiz (ES), Instituto de Geociencias (ES)
European Commission, Ministerio de Ciencia e Innovación, Agencia Estatal de Investigación
Affordable and clean energy
Openalex Percentile: Top 2%
Meteorological Phenomena and Simulations
7.80
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.