European in-situ snow measurements: practices and purposes

In-situ snow measurements conducted by European institutions for operational, research, and energy business applications were surveyed in the framework of the European Cooperation in Science and Technology (COST) Action ES1404, called “A European network for a harmonised monitoring of snow for the b...

Full description

Bibliographic Details
Published in:Sensors
Main Authors: Pirazzini, Roberta, Leppänen, Leena, Picard, Ghislain, López-Moreno, Juan I., Marty, Christoph, Macelloni, Giovanni, Kontu, Anna, Lerber, Annakaisa von, Tanis, Cemal Melih, Schneebeli, Martin, Rosnay, Patricia de, Arslan, Ali Nadir
Other Authors: European Commission
Format: Article in Journal/Newspaper
Language:unknown
Published: Multidisciplinary Digital Publishing Institute 2018
Subjects:
Online Access:http://hdl.handle.net/10261/167919
https://doi.org/10.3390/s18072016
https://doi.org/10.13039/501100000780
id ftcsic:oai:digital.csic.es:10261/167919
record_format openpolar
spelling ftcsic:oai:digital.csic.es:10261/167919 2024-02-11T10:08:34+01:00 European in-situ snow measurements: practices and purposes Pirazzini, Roberta Leppänen, Leena Picard, Ghislain López-Moreno, Juan I. Marty, Christoph Macelloni, Giovanni Kontu, Anna Lerber, Annakaisa von Tanis, Cemal Melih Schneebeli, Martin Rosnay, Patricia de Arslan, Ali Nadir European Commission 2018-06-22 http://hdl.handle.net/10261/167919 https://doi.org/10.3390/s18072016 https://doi.org/10.13039/501100000780 unknown Multidisciplinary Digital Publishing Institute #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/EC/H2020/727890 Publisher's version https://doi.org/10.3390/s18072016 Sí Sensors 18(7): 2016 (2018) 1424-8220 http://hdl.handle.net/10261/167919 doi:10.3390/s18072016 http://dx.doi.org/10.13039/501100000780 29932447 open Snow properties In-situ measurements Instruments artículo http://purl.org/coar/resource_type/c_6501 2018 ftcsic https://doi.org/10.3390/s1807201610.13039/501100000780 2024-01-16T10:31:58Z In-situ snow measurements conducted by European institutions for operational, research, and energy business applications were surveyed in the framework of the European Cooperation in Science and Technology (COST) Action ES1404, called “A European network for a harmonised monitoring of snow for the benefit of climate change scenarios, hydrology, and numerical weather prediction”. Here we present the results of this survey, which was answered by 125 participants from 99 operational and research institutions, belonging to 38 European countries. The typologies of environments where the snow measurements are performed range from mountain to low elevated plains, including forests, bogs, tundra, urban areas, glaciers, lake ice, and sea ice. Of the respondents, 93% measure snow macrophysical parameters, such as snow presence, snow depth (HS), snow water equivalent (SWE), and snow density. These describe the bulk characteristics of the whole snowpack or of a snow layer, and they are the primary snow properties that are needed for most operational applications (such as hydrological monitoring, avalanche forecast, and weather forecast). In most cases, these measurements are done with manual methods, although for snow presence, HS, and SWE, automatized methods are also applied by some respondents. Parameters characterizing precipitating and suspended snow (such as the height of new snow, precipitation intensity, flux of drifting/blowing snow, and particle size distribution), some of which are crucial for the operational services, are measured by 74% of the respondents. Parameters characterizing the snow microstructural properties (such as the snow grain size and shape, and specific surface area), the snow electromagnetic properties (such as albedo, brightness temperature, and backscatter), and the snow composition (such as impurities and isotopes) are measured by 41%, 26%, and 13% of the respondents, respectively, mostly for research applications. The results of this survey are discussed from the perspective of the need of ... Article in Journal/Newspaper Sea ice Tundra Digital.CSIC (Spanish National Research Council) Sensors 18 7 2016
institution Open Polar
collection Digital.CSIC (Spanish National Research Council)
op_collection_id ftcsic
language unknown
topic Snow properties
In-situ measurements
Instruments
spellingShingle Snow properties
In-situ measurements
Instruments
Pirazzini, Roberta
Leppänen, Leena
Picard, Ghislain
López-Moreno, Juan I.
Marty, Christoph
Macelloni, Giovanni
Kontu, Anna
Lerber, Annakaisa von
Tanis, Cemal Melih
Schneebeli, Martin
Rosnay, Patricia de
Arslan, Ali Nadir
European in-situ snow measurements: practices and purposes
topic_facet Snow properties
In-situ measurements
Instruments
description In-situ snow measurements conducted by European institutions for operational, research, and energy business applications were surveyed in the framework of the European Cooperation in Science and Technology (COST) Action ES1404, called “A European network for a harmonised monitoring of snow for the benefit of climate change scenarios, hydrology, and numerical weather prediction”. Here we present the results of this survey, which was answered by 125 participants from 99 operational and research institutions, belonging to 38 European countries. The typologies of environments where the snow measurements are performed range from mountain to low elevated plains, including forests, bogs, tundra, urban areas, glaciers, lake ice, and sea ice. Of the respondents, 93% measure snow macrophysical parameters, such as snow presence, snow depth (HS), snow water equivalent (SWE), and snow density. These describe the bulk characteristics of the whole snowpack or of a snow layer, and they are the primary snow properties that are needed for most operational applications (such as hydrological monitoring, avalanche forecast, and weather forecast). In most cases, these measurements are done with manual methods, although for snow presence, HS, and SWE, automatized methods are also applied by some respondents. Parameters characterizing precipitating and suspended snow (such as the height of new snow, precipitation intensity, flux of drifting/blowing snow, and particle size distribution), some of which are crucial for the operational services, are measured by 74% of the respondents. Parameters characterizing the snow microstructural properties (such as the snow grain size and shape, and specific surface area), the snow electromagnetic properties (such as albedo, brightness temperature, and backscatter), and the snow composition (such as impurities and isotopes) are measured by 41%, 26%, and 13% of the respondents, respectively, mostly for research applications. The results of this survey are discussed from the perspective of the need of ...
author2 European Commission
format Article in Journal/Newspaper
author Pirazzini, Roberta
Leppänen, Leena
Picard, Ghislain
López-Moreno, Juan I.
Marty, Christoph
Macelloni, Giovanni
Kontu, Anna
Lerber, Annakaisa von
Tanis, Cemal Melih
Schneebeli, Martin
Rosnay, Patricia de
Arslan, Ali Nadir
author_facet Pirazzini, Roberta
Leppänen, Leena
Picard, Ghislain
López-Moreno, Juan I.
Marty, Christoph
Macelloni, Giovanni
Kontu, Anna
Lerber, Annakaisa von
Tanis, Cemal Melih
Schneebeli, Martin
Rosnay, Patricia de
Arslan, Ali Nadir
author_sort Pirazzini, Roberta
title European in-situ snow measurements: practices and purposes
title_short European in-situ snow measurements: practices and purposes
title_full European in-situ snow measurements: practices and purposes
title_fullStr European in-situ snow measurements: practices and purposes
title_full_unstemmed European in-situ snow measurements: practices and purposes
title_sort european in-situ snow measurements: practices and purposes
publisher Multidisciplinary Digital Publishing Institute
publishDate 2018
url http://hdl.handle.net/10261/167919
https://doi.org/10.3390/s18072016
https://doi.org/10.13039/501100000780
genre Sea ice
Tundra
genre_facet Sea ice
Tundra
op_relation #PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/EC/H2020/727890
Publisher's version
https://doi.org/10.3390/s18072016

Sensors 18(7): 2016 (2018)
1424-8220
http://hdl.handle.net/10261/167919
doi:10.3390/s18072016
http://dx.doi.org/10.13039/501100000780
29932447
op_rights open
op_doi https://doi.org/10.3390/s1807201610.13039/501100000780
container_title Sensors
container_volume 18
container_issue 7
container_start_page 2016
_version_ 1790607953135403008