Progress in space-borne studies of permafrost for climate science: Towards a multi-ECV approach
Remotely-sensed climate data records (CDRs) provide a basis for spatially distributed global climate model (GCM) inputs and validation methods. GCMs can take advantage of land surface models (LSMs), which aim to resolve surface energy, water and carbon budgets and hence these LSMs present important...
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ftoslouniv:oai:www.duo.uio.no:10852/62034 2023-05-15T17:55:18+02:00 Progress in space-borne studies of permafrost for climate science: Towards a multi-ECV approach Trofaier, Anna Maria Westermann, Sebastian Bartsch, Annett 2018-01-25T14:01:43Z http://hdl.handle.net/10852/62034 http://urn.nb.no/URN:NBN:no-64619 https://doi.org/10.1016/j.rse.2017.05.021 EN eng http://urn.nb.no/URN:NBN:no-64619 Trofaier, Anna Maria Westermann, Sebastian Bartsch, Annett . Progress in space-borne studies of permafrost for climate science: Towards a multi-ECV approach. Remote Sensing of Environment. 2017, 203, 55-70 http://hdl.handle.net/10852/62034 1551874 info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Remote Sensing of Environment&rft.volume=203&rft.spage=55&rft.date=2017 Remote Sensing of Environment 203 55 70 http://dx.doi.org/10.1016/j.rse.2017.05.021 URN:NBN:no-64619 Fulltext https://www.duo.uio.no/bitstream/handle/10852/62034/4/1-s2.0-S0034425717302201-main.pdf Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/ CC-BY 0034-4257 Journal article Tidsskriftartikkel Peer reviewed PublishedVersion 2018 ftoslouniv https://doi.org/10.1016/j.rse.2017.05.021 2020-06-21T08:51:40Z Remotely-sensed climate data records (CDRs) provide a basis for spatially distributed global climate model (GCM) inputs and validation methods. GCMs can take advantage of land surface models (LSMs), which aim to resolve surface energy, water and carbon budgets and hence these LSMs present important boundary conditions at the land-atmosphere interface. Pertinently, satellite data assimilation approaches are essential for improved land surface modelling for northern high latitudes ecosystems where permafrost degradation is reported to be ongoing. Permafrost, however, is an Essential Climate Variable (ECV) that cannot directly be monitored from space. Here, we advocate that CDRs, such as those compiled under the European Space Agency (ESA) Climate Change Initiative (CCI) programme, may be used in combination with permafrost models to improve our understanding of permafrost extent and degradation in a changing climate system. We describe the current types of remotely-sensed surface feature products that are widely used as indicators for permafrost related features. Furthermore, we highlight issues of using these site-specific permafrost proxies related to spatial scale, as well as the uncertainties in establishing present-day permafrost extent itself. Our assessment of the key ECVs that impact on permafrost, demonstrates how models that incorporate EO CDRs have the potential to boost our knowledge of permafrost conditions through better parametrisation of the thermal regime of permafrost soils. Article in Journal/Newspaper permafrost Universitet i Oslo: Digitale utgivelser ved UiO (DUO) Remote Sensing of Environment 203 55 70 |
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Open Polar |
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Universitet i Oslo: Digitale utgivelser ved UiO (DUO) |
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ftoslouniv |
language |
English |
description |
Remotely-sensed climate data records (CDRs) provide a basis for spatially distributed global climate model (GCM) inputs and validation methods. GCMs can take advantage of land surface models (LSMs), which aim to resolve surface energy, water and carbon budgets and hence these LSMs present important boundary conditions at the land-atmosphere interface. Pertinently, satellite data assimilation approaches are essential for improved land surface modelling for northern high latitudes ecosystems where permafrost degradation is reported to be ongoing. Permafrost, however, is an Essential Climate Variable (ECV) that cannot directly be monitored from space. Here, we advocate that CDRs, such as those compiled under the European Space Agency (ESA) Climate Change Initiative (CCI) programme, may be used in combination with permafrost models to improve our understanding of permafrost extent and degradation in a changing climate system. We describe the current types of remotely-sensed surface feature products that are widely used as indicators for permafrost related features. Furthermore, we highlight issues of using these site-specific permafrost proxies related to spatial scale, as well as the uncertainties in establishing present-day permafrost extent itself. Our assessment of the key ECVs that impact on permafrost, demonstrates how models that incorporate EO CDRs have the potential to boost our knowledge of permafrost conditions through better parametrisation of the thermal regime of permafrost soils. |
format |
Article in Journal/Newspaper |
author |
Trofaier, Anna Maria Westermann, Sebastian Bartsch, Annett |
spellingShingle |
Trofaier, Anna Maria Westermann, Sebastian Bartsch, Annett Progress in space-borne studies of permafrost for climate science: Towards a multi-ECV approach |
author_facet |
Trofaier, Anna Maria Westermann, Sebastian Bartsch, Annett |
author_sort |
Trofaier, Anna Maria |
title |
Progress in space-borne studies of permafrost for climate science: Towards a multi-ECV approach |
title_short |
Progress in space-borne studies of permafrost for climate science: Towards a multi-ECV approach |
title_full |
Progress in space-borne studies of permafrost for climate science: Towards a multi-ECV approach |
title_fullStr |
Progress in space-borne studies of permafrost for climate science: Towards a multi-ECV approach |
title_full_unstemmed |
Progress in space-borne studies of permafrost for climate science: Towards a multi-ECV approach |
title_sort |
progress in space-borne studies of permafrost for climate science: towards a multi-ecv approach |
publishDate |
2018 |
url |
http://hdl.handle.net/10852/62034 http://urn.nb.no/URN:NBN:no-64619 https://doi.org/10.1016/j.rse.2017.05.021 |
genre |
permafrost |
genre_facet |
permafrost |
op_source |
0034-4257 |
op_relation |
http://urn.nb.no/URN:NBN:no-64619 Trofaier, Anna Maria Westermann, Sebastian Bartsch, Annett . Progress in space-borne studies of permafrost for climate science: Towards a multi-ECV approach. Remote Sensing of Environment. 2017, 203, 55-70 http://hdl.handle.net/10852/62034 1551874 info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Remote Sensing of Environment&rft.volume=203&rft.spage=55&rft.date=2017 Remote Sensing of Environment 203 55 70 http://dx.doi.org/10.1016/j.rse.2017.05.021 URN:NBN:no-64619 Fulltext https://www.duo.uio.no/bitstream/handle/10852/62034/4/1-s2.0-S0034425717302201-main.pdf |
op_rights |
Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/ |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1016/j.rse.2017.05.021 |
container_title |
Remote Sensing of Environment |
container_volume |
203 |
container_start_page |
55 |
op_container_end_page |
70 |
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1766163223589945344 |