ESA Snow Climate Change Initiative (Snow_cci): Fractional Snow Cover in CryoClim, v1.0 ...
This dataset contains the CryoClim Daily Snow Cover Fraction (snow on ground) product, produced by the Snow project of the ESA Climate Change Initiative programme. Fractional snow cover (FSC) on the ground indicates the area of snow observed from space on land surfaces, in forested areas compensated...
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NERC EDS Centre for Environmental Data Analysis
2023
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Online Access: | https://dx.doi.org/10.5285/f4654030223445b0bac63a23aaa60620 https://catalogue.ceda.ac.uk/uuid/f4654030223445b0bac63a23aaa60620 |
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ftdatacite:10.5285/f4654030223445b0bac63a23aaa60620 2023-10-01T03:50:49+02:00 ESA Snow Climate Change Initiative (Snow_cci): Fractional Snow Cover in CryoClim, v1.0 ... Solberg, Rune Rudjord, Øystein Salberg, Arnt-Børre Killie, Mari Anne Eastwood, Steinar Sørensen, Atle Marin, Carlo Premier, Valentina Schwaizer, Gabriele Nagler, Thomas 2023 application/xml https://dx.doi.org/10.5285/f4654030223445b0bac63a23aaa60620 https://catalogue.ceda.ac.uk/uuid/f4654030223445b0bac63a23aaa60620 en eng NERC EDS Centre for Environmental Data Analysis Public data: access to these data is available to both registered and non-registered users. Use of these data is covered by the following licence: http://artefacts.ceda.ac.uk/licences/specific_licences/esacci_snow_terms_and_conditions.pdf . When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record. http://artefacts.ceda.ac.uk/licences/specific_licences/esacci_snow_terms_and_conditions.pdf None Atmospheric sciences and Earth Observation Imagery Dataset dataset 2023 ftdatacite https://doi.org/10.5285/f4654030223445b0bac63a23aaa60620 2023-09-04T13:27:46Z This dataset contains the CryoClim Daily Snow Cover Fraction (snow on ground) product, produced by the Snow project of the ESA Climate Change Initiative programme. Fractional snow cover (FSC) on the ground indicates the area of snow observed from space on land surfaces, in forested areas compensated for the effect of trees hiding the ground surface snow cover under the forest canopy. The FSC is given in percentage (%) per grid cell. The global snow_cci CryoClim fractional snow cover (FSC) product is available at 0.05° grid size (about 5 km) for all land areas, excluding Antarctica and Greenland ice sheet. The coastal zones of Greenland are included. The CryoClim FSC time series provides daily products for the period 1982 – 2019. The CryoClim FSC product is based on a multi-sensor time-series fusion algorithm combining observations by optical and passive microwave radiometer (PMR) data. The product combines an historical record of AVHRR sensor data with PMR data from the SMMR, SSM/I and SSMIS sensors. The ... Dataset Antarc* Antarctica Greenland Ice Sheet DataCite Metadata Store (German National Library of Science and Technology) Greenland |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Atmospheric sciences and Earth Observation Imagery |
spellingShingle |
Atmospheric sciences and Earth Observation Imagery Solberg, Rune Rudjord, Øystein Salberg, Arnt-Børre Killie, Mari Anne Eastwood, Steinar Sørensen, Atle Marin, Carlo Premier, Valentina Schwaizer, Gabriele Nagler, Thomas ESA Snow Climate Change Initiative (Snow_cci): Fractional Snow Cover in CryoClim, v1.0 ... |
topic_facet |
Atmospheric sciences and Earth Observation Imagery |
description |
This dataset contains the CryoClim Daily Snow Cover Fraction (snow on ground) product, produced by the Snow project of the ESA Climate Change Initiative programme. Fractional snow cover (FSC) on the ground indicates the area of snow observed from space on land surfaces, in forested areas compensated for the effect of trees hiding the ground surface snow cover under the forest canopy. The FSC is given in percentage (%) per grid cell. The global snow_cci CryoClim fractional snow cover (FSC) product is available at 0.05° grid size (about 5 km) for all land areas, excluding Antarctica and Greenland ice sheet. The coastal zones of Greenland are included. The CryoClim FSC time series provides daily products for the period 1982 – 2019. The CryoClim FSC product is based on a multi-sensor time-series fusion algorithm combining observations by optical and passive microwave radiometer (PMR) data. The product combines an historical record of AVHRR sensor data with PMR data from the SMMR, SSM/I and SSMIS sensors. The ... |
format |
Dataset |
author |
Solberg, Rune Rudjord, Øystein Salberg, Arnt-Børre Killie, Mari Anne Eastwood, Steinar Sørensen, Atle Marin, Carlo Premier, Valentina Schwaizer, Gabriele Nagler, Thomas |
author_facet |
Solberg, Rune Rudjord, Øystein Salberg, Arnt-Børre Killie, Mari Anne Eastwood, Steinar Sørensen, Atle Marin, Carlo Premier, Valentina Schwaizer, Gabriele Nagler, Thomas |
author_sort |
Solberg, Rune |
title |
ESA Snow Climate Change Initiative (Snow_cci): Fractional Snow Cover in CryoClim, v1.0 ... |
title_short |
ESA Snow Climate Change Initiative (Snow_cci): Fractional Snow Cover in CryoClim, v1.0 ... |
title_full |
ESA Snow Climate Change Initiative (Snow_cci): Fractional Snow Cover in CryoClim, v1.0 ... |
title_fullStr |
ESA Snow Climate Change Initiative (Snow_cci): Fractional Snow Cover in CryoClim, v1.0 ... |
title_full_unstemmed |
ESA Snow Climate Change Initiative (Snow_cci): Fractional Snow Cover in CryoClim, v1.0 ... |
title_sort |
esa snow climate change initiative (snow_cci): fractional snow cover in cryoclim, v1.0 ... |
publisher |
NERC EDS Centre for Environmental Data Analysis |
publishDate |
2023 |
url |
https://dx.doi.org/10.5285/f4654030223445b0bac63a23aaa60620 https://catalogue.ceda.ac.uk/uuid/f4654030223445b0bac63a23aaa60620 |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Antarc* Antarctica Greenland Ice Sheet |
genre_facet |
Antarc* Antarctica Greenland Ice Sheet |
op_rights |
Public data: access to these data is available to both registered and non-registered users. Use of these data is covered by the following licence: http://artefacts.ceda.ac.uk/licences/specific_licences/esacci_snow_terms_and_conditions.pdf . When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record. http://artefacts.ceda.ac.uk/licences/specific_licences/esacci_snow_terms_and_conditions.pdf None |
op_doi |
https://doi.org/10.5285/f4654030223445b0bac63a23aaa60620 |
_version_ |
1778528160374063104 |