Improving Permafrost Modeling by Assimilating Remotely Sensed Soil Moisture

Knowledge of soil moisture conditions is important for modeling soil temperatures, as soil moisture influences the thermal dynamics in multiple ways. However, in permafrost regions, soil moisture is highly heterogeneous and difficult to model. Satellite soil moisture data may fill this gap, but the...

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Published in:Water Resources Research
Main Authors: Zwieback, S., Westermann, S., Langer, Moritz, Boike, J., Marsh, P., Berg, A.
Format: Article in Journal/Newspaper
Language:unknown
Published: 2019
Subjects:
Online Access:https://epic.awi.de/id/eprint/49277/
https://doi.org/10.1029/2018WR023247
https://hdl.handle.net/10013/epic.71f49a8a-cd7d-4444-9c34-725f0d99e299
id ftawi:oai:epic.awi.de:49277
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spelling ftawi:oai:epic.awi.de:49277 2024-09-15T18:29:44+00:00 Improving Permafrost Modeling by Assimilating Remotely Sensed Soil Moisture Zwieback, S. Westermann, S. Langer, Moritz Boike, J. Marsh, P. Berg, A. 2019 https://epic.awi.de/id/eprint/49277/ https://doi.org/10.1029/2018WR023247 https://hdl.handle.net/10013/epic.71f49a8a-cd7d-4444-9c34-725f0d99e299 unknown Zwieback, S. , Westermann, S. , Langer, M. orcid:0000-0002-2704-3655 , Boike, J. orcid:0000-0002-5875-2112 , Marsh, P. and Berg, A. (2019) Improving Permafrost Modeling by Assimilating Remotely Sensed Soil Moisture , Water Resources Research, 55 . doi:10.1029/2018WR023247 <https://doi.org/10.1029/2018WR023247> , hdl:10013/epic.71f49a8a-cd7d-4444-9c34-725f0d99e299 EPIC3Water Resources Research, 55, ISSN: 00431397 Article isiRev 2019 ftawi https://doi.org/10.1029/2018WR023247 2024-06-24T04:22:11Z Knowledge of soil moisture conditions is important for modeling soil temperatures, as soil moisture influences the thermal dynamics in multiple ways. However, in permafrost regions, soil moisture is highly heterogeneous and difficult to model. Satellite soil moisture data may fill this gap, but the degree to which they can improve permafrost modeling is unknown. To explore their added value for modeling soil temperatures, we assimilate fine‐scale satellite surface soil moisture into the CryoGrid‐3 permafrost model, which accounts for the soil moisture's influence on the soil thermal properties and the surface energy balance. At our study site in the Canadian Arctic, the assimilation improves the estimates of deeper (>10 cm) soil temperatures during summer but not consistently those of the near‐surface temperatures. The improvements in the deeper temperatures are strongly contingent on soil type: They are largest for porous organic soils (30%), smaller for thin organic soil covers (20%), and they essentially vanish for mineral soils (only synthetic data available). That the improvements are greatest over organic soils reflects the strong coupling between soil moisture and deeper temperatures. The coupling arises largely from the diminishing soil thermal conductivity with increasing desiccation thanks to which the deeper soil is kept cool. It is this association of dry organic soils being cool at depth that lets the assimilation revise the simulated soil temperatures toward the actually measured ones. In the future, the increasing availability of satellite soil moisture data holds promise for the operational monitoring of soil temperatures, hydrology, and biogeochemistry. Article in Journal/Newspaper permafrost Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Water Resources Research 55 3 1814 1832
institution Open Polar
collection Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center)
op_collection_id ftawi
language unknown
description Knowledge of soil moisture conditions is important for modeling soil temperatures, as soil moisture influences the thermal dynamics in multiple ways. However, in permafrost regions, soil moisture is highly heterogeneous and difficult to model. Satellite soil moisture data may fill this gap, but the degree to which they can improve permafrost modeling is unknown. To explore their added value for modeling soil temperatures, we assimilate fine‐scale satellite surface soil moisture into the CryoGrid‐3 permafrost model, which accounts for the soil moisture's influence on the soil thermal properties and the surface energy balance. At our study site in the Canadian Arctic, the assimilation improves the estimates of deeper (>10 cm) soil temperatures during summer but not consistently those of the near‐surface temperatures. The improvements in the deeper temperatures are strongly contingent on soil type: They are largest for porous organic soils (30%), smaller for thin organic soil covers (20%), and they essentially vanish for mineral soils (only synthetic data available). That the improvements are greatest over organic soils reflects the strong coupling between soil moisture and deeper temperatures. The coupling arises largely from the diminishing soil thermal conductivity with increasing desiccation thanks to which the deeper soil is kept cool. It is this association of dry organic soils being cool at depth that lets the assimilation revise the simulated soil temperatures toward the actually measured ones. In the future, the increasing availability of satellite soil moisture data holds promise for the operational monitoring of soil temperatures, hydrology, and biogeochemistry.
format Article in Journal/Newspaper
author Zwieback, S.
Westermann, S.
Langer, Moritz
Boike, J.
Marsh, P.
Berg, A.
spellingShingle Zwieback, S.
Westermann, S.
Langer, Moritz
Boike, J.
Marsh, P.
Berg, A.
Improving Permafrost Modeling by Assimilating Remotely Sensed Soil Moisture
author_facet Zwieback, S.
Westermann, S.
Langer, Moritz
Boike, J.
Marsh, P.
Berg, A.
author_sort Zwieback, S.
title Improving Permafrost Modeling by Assimilating Remotely Sensed Soil Moisture
title_short Improving Permafrost Modeling by Assimilating Remotely Sensed Soil Moisture
title_full Improving Permafrost Modeling by Assimilating Remotely Sensed Soil Moisture
title_fullStr Improving Permafrost Modeling by Assimilating Remotely Sensed Soil Moisture
title_full_unstemmed Improving Permafrost Modeling by Assimilating Remotely Sensed Soil Moisture
title_sort improving permafrost modeling by assimilating remotely sensed soil moisture
publishDate 2019
url https://epic.awi.de/id/eprint/49277/
https://doi.org/10.1029/2018WR023247
https://hdl.handle.net/10013/epic.71f49a8a-cd7d-4444-9c34-725f0d99e299
genre permafrost
genre_facet permafrost
op_source EPIC3Water Resources Research, 55, ISSN: 00431397
op_relation Zwieback, S. , Westermann, S. , Langer, M. orcid:0000-0002-2704-3655 , Boike, J. orcid:0000-0002-5875-2112 , Marsh, P. and Berg, A. (2019) Improving Permafrost Modeling by Assimilating Remotely Sensed Soil Moisture , Water Resources Research, 55 . doi:10.1029/2018WR023247 <https://doi.org/10.1029/2018WR023247> , hdl:10013/epic.71f49a8a-cd7d-4444-9c34-725f0d99e299
op_doi https://doi.org/10.1029/2018WR023247
container_title Water Resources Research
container_volume 55
container_issue 3
container_start_page 1814
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