Articles | Volume 9, issue 4
https://doi.org/10.5194/tc-9-1343-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/tc-9-1343-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
22 Jul 2015
Research article |
| 22 Jul 2015
Site-level model intercomparison of high latitude and high altitude soil thermal dynamics in tundra and barren landscapes
Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany
Department of Applied Environmental Science (ITM) and Bolin Centre for Climate Research, Stockholm University, Stockholm, Sweden
S. Chadburn
Earth System Sciences, Laver Building, University of Exeter, Exeter, UK
N. Chaudhary
Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden
L. H. Hajdu
Department of Geography, University of Cambridge, Cambridge, England
A. Marmy
Department of Geosciences, University of Fribourg, Fribourg, Switzerland
S. Peng
CNRS and Université Grenoble Alpes, LGGE, 38041, Grenoble, France
Laboratoire des Sciences du Climat et de l'Environnement, Gif-sur-Yvette, France
Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung, Potsdam, Germany
Met Office Hadley Centre, Exeter, UK
A. D. Friend
Department of Geography, University of Cambridge, Cambridge, England
Department of Geosciences, University of Fribourg, Fribourg, Switzerland
G. Krinner
CNRS and Université Grenoble Alpes, LGGE, 38041, Grenoble, France
M. Langer
CNRS and Université Grenoble Alpes, LGGE, 38041, Grenoble, France
Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung, Potsdam, Germany
P. A. Miller
Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden
C. Beer
Department of Applied Environmental Science (ITM) and Bolin Centre for Climate Research, Stockholm University, Stockholm, Sweden
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41 citations as recorded by crossref.
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- Improving Permafrost Modeling by Assimilating Remotely Sensed Soil Moisture S. Zwieback et al. 10.1029/2018WR023247
- Long-term energy balance measurements at three different mountain permafrost sites in the Swiss Alps M. Hoelzle et al. 10.5194/essd-14-1531-2022
- A 20-year record (1998–2017) of permafrost, active layer and meteorological conditions at a high Arctic permafrost research site (Bayelva, Spitsbergen) J. Boike et al. 10.5194/essd-10-355-2018
- Using Gravity Recovery and Climate Experiment data to derive corrections to precipitation data sets and improve modelled snow mass at high latitudes E. Robinson & D. Clark 10.5194/hess-24-1763-2020
- The GRENE-TEA model intercomparison project (GTMIP): overview and experiment protocol for Stage 1 S. Miyazaki et al. 10.5194/gmd-8-2841-2015
- Modelling past, present and future peatland carbon accumulation across the pan-Arctic region N. Chaudhary et al. 10.5194/bg-14-4023-2017
- Thaw processes in ice-rich permafrost landscapes represented with laterally coupled tiles in a land surface model K. Aas et al. 10.5194/tc-13-591-2019
- Sensitivity of Arctic CH4 emissions to landscape wetness diminished by atmospheric feedbacks P. de Vrese et al. 10.1038/s41558-023-01715-3
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- Effects of short-term variability of meteorological variables on soil temperature in permafrost regions C. Beer et al. 10.5194/tc-12-741-2018
- Projecting Permafrost Thaw of Sub‐Arctic Tundra With a Thermodynamic Model Calibrated to Site Measurements A. Garnello et al. 10.1029/2020JG006218
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Short summary
This paper compares the performance of different land models in estimating soil thermal regimes at distinct cold region landscape types. Comparing models with different processes reveal the importance of surface insulation (snow/moss layer) and soil internal processes (heat/water transfer). The importance of model processes also depend on site conditions such as high/low snow cover, dry/wet soil types.
This paper compares the performance of different land models in estimating soil thermal regimes...
