CryoGrid 3 – a new flexible tool for permafrost modeling
Thermal permafrost models based on conductive heat transfer are usually forced by time series of surface or air temperatures, as well as snow depth. Examples are GIPL2 developed at the University of Alaska Fairbanks, CryoGrid 2 by University of Oslo. For a more complete representation of land-surfac...
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ftawi:oai:epic.awi.de:32955 2023-05-15T15:06:08+02:00 CryoGrid 3 – a new flexible tool for permafrost modeling Westermann, Sebastian Langer, Moritz Heikenfeld, Max Boike, Julia 2013-04-15 https://epic.awi.de/id/eprint/32955/ https://hdl.handle.net/10013/epic.41466 unknown Westermann, S. , Langer, M. orcid:0000-0002-2704-3655 , Heikenfeld, M. and Boike, J. orcid:0000-0002-5875-2112 (2013) CryoGrid 3 – a new flexible tool for permafrost modeling , CryoFIM Back work shop Svalbard, Longyearbyen, Svalbard, 15 April 2013 - 19 April 2013 . hdl:10013/epic.41466 EPIC3CryoFIM Back work shop Svalbard, Longyearbyen, Svalbard, 2013-04-15-2013-04-19 Conference notRev 2013 ftawi 2021-12-24T15:38:37Z Thermal permafrost models based on conductive heat transfer are usually forced by time series of surface or air temperatures, as well as snow depth. Examples are GIPL2 developed at the University of Alaska Fairbanks, CryoGrid 2 by University of Oslo. For a more complete representation of land-surface coupling, we have included the surface energy balance as upper boundary of a thermal permafrost model based on CryoGrid 2. This new permafrost model, denoted CryoGrid 3, is for instance capable of reproducing strong near-surface temperature inversions, as they are frequently found under polar night conditions. Furthermore, infiltration of melt- and rainwater in the snowpack is included in CryoGrid 3. We present preliminary results of CryoGrid 3 on modeled ground temperatures, as well as on the radiation budget and turbulent fluxes for validation sites on Svalbard and Northern Siberia. CryoGrid 3 is designed as a flexible platform, which can be adapted and extended with relative ease to include further permafrost processes, such as ground subsidence and thermokarst formation through melting of excess ground ice, or heat transfer processes in Arctic lakes and ponds. Thus, CryoGrid 3 can serve as a development tool for additional process modules in the land-surface schemes of atmospheric models. Conference Object Arctic Ice permafrost polar night Svalbard Thermokarst Alaska Siberia Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Arctic Svalbard Fairbanks |
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Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) |
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Thermal permafrost models based on conductive heat transfer are usually forced by time series of surface or air temperatures, as well as snow depth. Examples are GIPL2 developed at the University of Alaska Fairbanks, CryoGrid 2 by University of Oslo. For a more complete representation of land-surface coupling, we have included the surface energy balance as upper boundary of a thermal permafrost model based on CryoGrid 2. This new permafrost model, denoted CryoGrid 3, is for instance capable of reproducing strong near-surface temperature inversions, as they are frequently found under polar night conditions. Furthermore, infiltration of melt- and rainwater in the snowpack is included in CryoGrid 3. We present preliminary results of CryoGrid 3 on modeled ground temperatures, as well as on the radiation budget and turbulent fluxes for validation sites on Svalbard and Northern Siberia. CryoGrid 3 is designed as a flexible platform, which can be adapted and extended with relative ease to include further permafrost processes, such as ground subsidence and thermokarst formation through melting of excess ground ice, or heat transfer processes in Arctic lakes and ponds. Thus, CryoGrid 3 can serve as a development tool for additional process modules in the land-surface schemes of atmospheric models. |
format |
Conference Object |
author |
Westermann, Sebastian Langer, Moritz Heikenfeld, Max Boike, Julia |
spellingShingle |
Westermann, Sebastian Langer, Moritz Heikenfeld, Max Boike, Julia CryoGrid 3 – a new flexible tool for permafrost modeling |
author_facet |
Westermann, Sebastian Langer, Moritz Heikenfeld, Max Boike, Julia |
author_sort |
Westermann, Sebastian |
title |
CryoGrid 3 – a new flexible tool for permafrost modeling |
title_short |
CryoGrid 3 – a new flexible tool for permafrost modeling |
title_full |
CryoGrid 3 – a new flexible tool for permafrost modeling |
title_fullStr |
CryoGrid 3 – a new flexible tool for permafrost modeling |
title_full_unstemmed |
CryoGrid 3 – a new flexible tool for permafrost modeling |
title_sort |
cryogrid 3 – a new flexible tool for permafrost modeling |
publishDate |
2013 |
url |
https://epic.awi.de/id/eprint/32955/ https://hdl.handle.net/10013/epic.41466 |
geographic |
Arctic Svalbard Fairbanks |
geographic_facet |
Arctic Svalbard Fairbanks |
genre |
Arctic Ice permafrost polar night Svalbard Thermokarst Alaska Siberia |
genre_facet |
Arctic Ice permafrost polar night Svalbard Thermokarst Alaska Siberia |
op_source |
EPIC3CryoFIM Back work shop Svalbard, Longyearbyen, Svalbard, 2013-04-15-2013-04-19 |
op_relation |
Westermann, S. , Langer, M. orcid:0000-0002-2704-3655 , Heikenfeld, M. and Boike, J. orcid:0000-0002-5875-2112 (2013) CryoGrid 3 – a new flexible tool for permafrost modeling , CryoFIM Back work shop Svalbard, Longyearbyen, Svalbard, 15 April 2013 - 19 April 2013 . hdl:10013/epic.41466 |
_version_ |
1766337790845386752 |