For decades, the Svalbard archipelago has been an area of interest for physical, chemical and biological investigations of snow and ice, due to its vulnerable location for climatic interactions and air-mass transport pathways. However, despite the many and demanding field campaigns carried out during the last decades, it has been difficult to link the findings from different projects to obtain the larger picture of snow research in Svalbard, and therefore its importance to the Arctic system is likely underestimated. This is in part related to the heterogeneity of sampling locations and sampling times, which does not promote direct comparisons between the different projects and also to the often mono-disciplinary nature of the research being carried out. Here, we present some of the lessons learned during SnowNet, a collaborative research initiative, developed to foster interdisciplinary Arctic field research. We will discuss key aspects to ensure that the collected data are consistent and comparable, ranging from protocol development, sample collection strategies and data processing and formatting, as well as some of the difficulties encountered. By coordinating our efforts in the field, we can optimize the use of logistics and financial resources, while minimizing our environmental footprint.

Lessons Learned from Interdisciplinary Snow Research in Svalbard

Elena Barbaro;Andrea Spolaor;
2018

Abstract

For decades, the Svalbard archipelago has been an area of interest for physical, chemical and biological investigations of snow and ice, due to its vulnerable location for climatic interactions and air-mass transport pathways. However, despite the many and demanding field campaigns carried out during the last decades, it has been difficult to link the findings from different projects to obtain the larger picture of snow research in Svalbard, and therefore its importance to the Arctic system is likely underestimated. This is in part related to the heterogeneity of sampling locations and sampling times, which does not promote direct comparisons between the different projects and also to the often mono-disciplinary nature of the research being carried out. Here, we present some of the lessons learned during SnowNet, a collaborative research initiative, developed to foster interdisciplinary Arctic field research. We will discuss key aspects to ensure that the collected data are consistent and comparable, ranging from protocol development, sample collection strategies and data processing and formatting, as well as some of the difficulties encountered. By coordinating our efforts in the field, we can optimize the use of logistics and financial resources, while minimizing our environmental footprint.
2018
Istituto di Scienze Polari - ISP
Inglese
POLAR 2018 - Where the Poles come together
2299
2299
1
978-0-948277-54-2
Sì, ma tipo non specificato
19-23/06/2018
Davos, Switzerland
environmental footprint
chemical and biological investigations of snow and ice
2
info:eu-repo/semantics/conferenceObject
none
274
04 Contributo in convegno::04.02 Abstract in Atti di convegno
Catherine Larose ; Elena Barbaro; Adrien Boniface; Mats Bjorkman; JeanCharles Gallet; Jack Kohler; Krystyna Kozio; Bartek Luks; Tonu Martma; Andrea Sp...espandi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/406247
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