Mapping the thermal state of permafrost through modeling and remote sensing
With current remote sensing technologies, it is not possible to directly measure the thermal state of the ground from spaceborne platforms. Here, we demonstrate that such limitations can be overcome by exploiting the combined information content of several remote sensing products in a data fusion ap...
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ftawi:oai:epic.awi.de:39337 2023-05-15T16:37:34+02:00 Mapping the thermal state of permafrost through modeling and remote sensing Westermann, Sebastian Langer, Moritz Ostby, Torbjorn Peter, Maria Boike, Julia Gisnas, Kjersti Schuler, Thomas V. Etzelmüller, Bernd 2015-12-18 https://epic.awi.de/id/eprint/39337/ https://agu.confex.com/agu/fm15/meetingapp.cgi/Paper/60341 https://hdl.handle.net/10013/epic.46527 unknown AGU Westermann, S. , Langer, M. orcid:0000-0002-2704-3655 , Ostby, T. , Peter, M. , Boike, J. orcid:0000-0002-5875-2112 , Gisnas, K. , Schuler, T. V. and Etzelmüller, B. (2015) Mapping the thermal state of permafrost through modeling and remote sensing , AGU Fall Meeting, San Francisco, 14 December 2915 - 18 December 2015 . hdl:10013/epic.46527 EPIC3AGU Fall Meeting, San Francisco, 2915-12-14-2015-12-18San Francisco, AGU Conference notRev 2015 ftawi 2021-12-24T15:40:59Z With current remote sensing technologies, it is not possible to directly measure the thermal state of the ground from spaceborne platforms. Here, we demonstrate that such limitations can be overcome by exploiting the combined information content of several remote sensing products in a data fusion approach. For this purpose, time series of remotely sensed land surface temperature, as well as snow cover and snow water equivalent, are employed to force ground thermal models which deliver ground temperatures and thaw depths. First, we present a semi-empirical model approach based on remotely sensed land surface temperatures and reanalysis products from which mean annual ground temperatures (MAGT) can be estimated at a spatial resolution of 1 km at continental scales. The approach is tested for the unglacierized land areas in the North Atlantic region, an area of more than 5 million km2. The results are compared to in-situ temperature measurements in more than 100 boreholes from which the accuracy of the scheme is estimated to approximately 2.5 °C. Furthermore, we explore transient modeling of ground temperatures driven by remotely sensed land surface temperature, snow cover and snow water equivalent. The permafrost model CryoGrid 2 is applied to the Lena River Delta in NE Siberia (~25,000 km2) at 1 km spatial and weekly time resolution for the period 2000-2014. A comparison to in-situ measurements suggests a possible accuracy of around 1 °C for annual average ground temperatures, and around 0.1 m for thaw depths. However, information on subsurface stratigraphies including the distribution of ground ice is required to achieve this accuracy which is currently not available from remote sensing products alone. Finally, we discuss the potential and limitations of such schemes and give a feasibility assessment for both mountain and lowland permafrost regions. Conference Object Ice lena river North Atlantic permafrost Siberia Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) |
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Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) |
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ftawi |
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description |
With current remote sensing technologies, it is not possible to directly measure the thermal state of the ground from spaceborne platforms. Here, we demonstrate that such limitations can be overcome by exploiting the combined information content of several remote sensing products in a data fusion approach. For this purpose, time series of remotely sensed land surface temperature, as well as snow cover and snow water equivalent, are employed to force ground thermal models which deliver ground temperatures and thaw depths. First, we present a semi-empirical model approach based on remotely sensed land surface temperatures and reanalysis products from which mean annual ground temperatures (MAGT) can be estimated at a spatial resolution of 1 km at continental scales. The approach is tested for the unglacierized land areas in the North Atlantic region, an area of more than 5 million km2. The results are compared to in-situ temperature measurements in more than 100 boreholes from which the accuracy of the scheme is estimated to approximately 2.5 °C. Furthermore, we explore transient modeling of ground temperatures driven by remotely sensed land surface temperature, snow cover and snow water equivalent. The permafrost model CryoGrid 2 is applied to the Lena River Delta in NE Siberia (~25,000 km2) at 1 km spatial and weekly time resolution for the period 2000-2014. A comparison to in-situ measurements suggests a possible accuracy of around 1 °C for annual average ground temperatures, and around 0.1 m for thaw depths. However, information on subsurface stratigraphies including the distribution of ground ice is required to achieve this accuracy which is currently not available from remote sensing products alone. Finally, we discuss the potential and limitations of such schemes and give a feasibility assessment for both mountain and lowland permafrost regions. |
format |
Conference Object |
author |
Westermann, Sebastian Langer, Moritz Ostby, Torbjorn Peter, Maria Boike, Julia Gisnas, Kjersti Schuler, Thomas V. Etzelmüller, Bernd |
spellingShingle |
Westermann, Sebastian Langer, Moritz Ostby, Torbjorn Peter, Maria Boike, Julia Gisnas, Kjersti Schuler, Thomas V. Etzelmüller, Bernd Mapping the thermal state of permafrost through modeling and remote sensing |
author_facet |
Westermann, Sebastian Langer, Moritz Ostby, Torbjorn Peter, Maria Boike, Julia Gisnas, Kjersti Schuler, Thomas V. Etzelmüller, Bernd |
author_sort |
Westermann, Sebastian |
title |
Mapping the thermal state of permafrost through modeling and remote sensing |
title_short |
Mapping the thermal state of permafrost through modeling and remote sensing |
title_full |
Mapping the thermal state of permafrost through modeling and remote sensing |
title_fullStr |
Mapping the thermal state of permafrost through modeling and remote sensing |
title_full_unstemmed |
Mapping the thermal state of permafrost through modeling and remote sensing |
title_sort |
mapping the thermal state of permafrost through modeling and remote sensing |
publisher |
AGU |
publishDate |
2015 |
url |
https://epic.awi.de/id/eprint/39337/ https://agu.confex.com/agu/fm15/meetingapp.cgi/Paper/60341 https://hdl.handle.net/10013/epic.46527 |
genre |
Ice lena river North Atlantic permafrost Siberia |
genre_facet |
Ice lena river North Atlantic permafrost Siberia |
op_source |
EPIC3AGU Fall Meeting, San Francisco, 2915-12-14-2015-12-18San Francisco, AGU |
op_relation |
Westermann, S. , Langer, M. orcid:0000-0002-2704-3655 , Ostby, T. , Peter, M. , Boike, J. orcid:0000-0002-5875-2112 , Gisnas, K. , Schuler, T. V. and Etzelmüller, B. (2015) Mapping the thermal state of permafrost through modeling and remote sensing , AGU Fall Meeting, San Francisco, 14 December 2915 - 18 December 2015 . hdl:10013/epic.46527 |
_version_ |
1766027864749113344 |