Articles | Volume 25, issue 22
https://doi.org/10.5194/acp-25-16215-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-25-16215-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Seasonal and interannual variability on the chemical composition of the Svalbard surface snowpack
Azzurra Spagnesi
Institute of Polar Sciences – National Research Council of Italy (ISP-CNR), Via Torino 155, 30172, Venice, Italy
Department of Environmental Sciences, Informatics and Statistics, Ca' Foscari University of Venice, Via Torino 155, 30172, Venice, Italy
Institute of Polar Sciences – National Research Council of Italy (ISP-CNR), Via Torino 155, 30172, Venice, Italy
Department of Environmental Sciences, Informatics and Statistics, Ca' Foscari University of Venice, Via Torino 155, 30172, Venice, Italy
Matteo Feltracco
Institute of Polar Sciences – National Research Council of Italy (ISP-CNR), Via Torino 155, 30172, Venice, Italy
Department of Environmental Sciences, Informatics and Statistics, Ca' Foscari University of Venice, Via Torino 155, 30172, Venice, Italy
Federico Scoto
Department of Environmental Sciences, Informatics and Statistics, Ca' Foscari University of Venice, Via Torino 155, 30172, Venice, Italy
Institute of Atmospheric Sciences and Climate – National Research Council of Italy (ISAC-CNR), Campus Ecotekne, Lecce, 73100, Italy
Marco Vecchiato
Department of Environmental Sciences, Informatics and Statistics, Ca' Foscari University of Venice, Via Torino 155, 30172, Venice, Italy
Massimiliano Vardè
Institute of Polar Sciences – National Research Council of Italy (ISP-CNR), Via Torino 155, 30172, Venice, Italy
Mauro Mazzola
Institute of Polar Sciences – National Research Council of Italy (ISP-CNR), Via Torino 155, 30172, Venice, Italy
François Burgay
Laboratory of Environmental Chemistry (LUC), Paul Scherrer Institut (PSI), Villigen, 5232, Switzerland
Oeschger Centre for Climate Change Research, University of Bern, Bern, 3012, Switzerland
Federica Bruschi
Department of Chemistry, Biology and Biotechnology, University of Perugia, Via dell'Elce di Sotto 8, 06123, Perugia, Italy
Clara Jule Marie Hoppe
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, 27570 Bremerhaven, Germany
Allison Bailey
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, 27570 Bremerhaven, Germany
Andrea Gambaro
Institute of Polar Sciences – National Research Council of Italy (ISP-CNR), Via Torino 155, 30172, Venice, Italy
Department of Environmental Sciences, Informatics and Statistics, Ca' Foscari University of Venice, Via Torino 155, 30172, Venice, Italy
Carlo Barbante
Institute of Polar Sciences – National Research Council of Italy (ISP-CNR), Via Torino 155, 30172, Venice, Italy
Department of Environmental Sciences, Informatics and Statistics, Ca' Foscari University of Venice, Via Torino 155, 30172, Venice, Italy
Andrea Spolaor
Institute of Polar Sciences – National Research Council of Italy (ISP-CNR), Via Torino 155, 30172, Venice, Italy
Department of Environmental Sciences, Informatics and Statistics, Ca' Foscari University of Venice, Via Torino 155, 30172, Venice, Italy
Data sets
Database manuscript "Seasonal and interannual variability on the chemical composition of the Svalbard surface snowpack" Azzurra Spagnesi and Elena Barbaro https://doi.org/10.5281/zenodo.17243937
Short summary
Svalbard is ideal for studying how warming affects snow’s seasonal chemistry. By comparing the snow chemical composition of the 2019–2020 season with 2018–2019 and 2020–2021, we provide an overview of the seasonal and interannual variability of several chemical species on the Svalbard snowpack, furnishing insights into the interplay between short-term meteorological variability and the long-term climatic impacts of climate changes.
Svalbard is ideal for studying how warming affects snow’s seasonal chemistry. By comparing the...
Altmetrics
Final-revised paper
Preprint