Articles | Volume 13, issue 8
https://doi.org/10.5194/tc-13-2087-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-13-2087-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
01 Aug 2019
Research article |
| 01 Aug 2019
| 01 Aug 2019
Permafrost variability over the Northern Hemisphere based on the MERRA-2 reanalysis
Earth System Science Interdisciplinary Center, University of Maryland, College Park, Maryland, USA
Global Modeling and Assimilation Office, NASA Goddard Space Flight
Center, Greenbelt, Maryland, USA
now at: Climate and Ecosystem Sciences Division, Lawrence Berkeley
National Laboratory, Berkeley, California, USA
now at: Department of Civil and Environmental Engineering, University of Washington, Seattle, Washington, USA
Randal D. Koster
Global Modeling and Assimilation Office, NASA Goddard Space Flight
Center, Greenbelt, Maryland, USA
Rolf H. Reichle
Global Modeling and Assimilation Office, NASA Goddard Space Flight
Center, Greenbelt, Maryland, USA
Barton A. Forman
Department of Civil and Environmental Engineering, University of
Maryland, College Park, Maryland, USA
Yuan Xue
Department of Civil and Environmental Engineering, University of
Maryland, College Park, Maryland, USA
now at: Department of Geography and GeoInformation Science, George Mason University, Fairfax, Virginia, USA
Richard H. Chen
Department of Electrical Engineering, University of Southern
California, Los Angeles, California, USA
Mahta Moghaddam
Department of Electrical Engineering, University of Southern
California, Los Angeles, California, USA
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22 citations as recorded by crossref.
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- Toward the Detection of Permafrost Using Land-Surface Temperature Mapping J. Batbaatar et al. 10.3390/rs12040695
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- Evaluation of the Climate Forecast System Reanalysis data for hydrological model in the Arctic watershed Målselv M. Bui et al. 10.2166/wcc.2021.346
- Effects of Arctic Wetland Dynamics on Tower-Based GNSS Reflectometry Observations L. Steiner et al. 10.1109/TGRS.2021.3129604
- Monitoring the spatial distribution and changes in permafrost with passive microwave remote sensing H. Gao et al. 10.1016/j.isprsjprs.2020.10.011
- A first assessment of satellite and reanalysis estimates of surface and root-zone soil moisture over the permafrost region of Qinghai-Tibet Plateau Z. Xing et al. 10.1016/j.rse.2021.112666
- Evaluation of MERRA-2 land surface temperature dataset and its application in permafrost mapping over China A. Wen et al. 10.1016/j.atmosres.2022.106373
- CMIP6 model projections leave no room for permafrost to persist in Western Siberia under the SSP5-8.5 scenario G. Alexandrov et al. 10.1007/s10584-021-03292-w
- Surface temperature inversion characteristics in dissimilar valleys, Yukon Canada N. Noad & P. Bonnaventure 10.1139/as-2021-0048
- Evaluation of Merra-2 Land Surface Temperature Dataset and its Application in Permafrost Mapping Over China A. Wen et al. 10.2139/ssrn.4067275
- Evaluating the impact of peat soils and snow schemes on simulated active layer thickness at pan-Arctic permafrost sites J. Tao et al. 10.1088/1748-9326/ad38ce
- Monitoring Freeze-Thaw State by Means of GNSS Reflectometry: An Analysis of TechDemoSat-1 Data D. Comite et al. 10.1109/JSTARS.2020.2986859
- Discrepancies in the Simulated Global Terrestrial Latent Heat Flux from GLASS and MERRA-2 Surface Net Radiation Products X. Guo et al. 10.3390/rs12172763
- Electronic Atlas of Climatic Changes in the Western Russian Arctic in 1950–2021 as Geoinformatic Support of Railway Development A. Gvishiani et al. 10.3390/app13095278
- The ERA5-Land soil temperature bias in permafrost regions B. Cao et al. 10.5194/tc-14-2581-2020
- QUASI-DYNAMIC MODEL OF THE INTERCONNECTED POWER SYSTEM OF UKRAINE FOR A FREQUENCY STABILITY STUDY V. Pavlovsky et al. 10.15407/publishing2022.63.022
- Climate change in the western part of the Russian Arctic in 1980–2021. Part 2. Soil temperature, snow, humidity I. Serykh & A. Tolstikov 10.30758/0555-2648-2022-68-4-352-369
22 citations as recorded by crossref.
- Newly collected data across Alaska reveal remarkable biases in solar radiation products K. Wang & G. Clow 10.1002/joc.6634
- Evaluating integrated surface/subsurface permafrost thermal hydrology models in ATS (v0.88) against observations from a polygonal tundra site A. Jan et al. 10.5194/gmd-13-2259-2020
- Improved ELMv1-ECA simulations of zero-curtain periods and cold-season CH<sub>4</sub> and CO<sub>2</sub> emissions at Alaskan Arctic tundra sites J. Tao et al. 10.5194/tc-15-5281-2021
- Toward the Detection of Permafrost Using Land-Surface Temperature Mapping J. Batbaatar et al. 10.3390/rs12040695
- Investigating the sensitivity of soil heterotrophic respiration to recent snow cover changes in Alaska using a satellite-based permafrost carbon model Y. Yi et al. 10.5194/bg-17-5861-2020
- How to minimise the cost of green hydrogen with hybrid supply: A regional case study in China J. Huang & P. Balcombe 10.1016/j.apenergy.2023.122194
- Sensitivity evaluation of the Kudryavtsev permafrost model K. Wang et al. 10.1016/j.scitotenv.2020.137538
- Evaluation of the Climate Forecast System Reanalysis data for hydrological model in the Arctic watershed Målselv M. Bui et al. 10.2166/wcc.2021.346
- Effects of Arctic Wetland Dynamics on Tower-Based GNSS Reflectometry Observations L. Steiner et al. 10.1109/TGRS.2021.3129604
- Monitoring the spatial distribution and changes in permafrost with passive microwave remote sensing H. Gao et al. 10.1016/j.isprsjprs.2020.10.011
- A first assessment of satellite and reanalysis estimates of surface and root-zone soil moisture over the permafrost region of Qinghai-Tibet Plateau Z. Xing et al. 10.1016/j.rse.2021.112666
- Evaluation of MERRA-2 land surface temperature dataset and its application in permafrost mapping over China A. Wen et al. 10.1016/j.atmosres.2022.106373
- CMIP6 model projections leave no room for permafrost to persist in Western Siberia under the SSP5-8.5 scenario G. Alexandrov et al. 10.1007/s10584-021-03292-w
- Surface temperature inversion characteristics in dissimilar valleys, Yukon Canada N. Noad & P. Bonnaventure 10.1139/as-2021-0048
- Evaluation of Merra-2 Land Surface Temperature Dataset and its Application in Permafrost Mapping Over China A. Wen et al. 10.2139/ssrn.4067275
- Evaluating the impact of peat soils and snow schemes on simulated active layer thickness at pan-Arctic permafrost sites J. Tao et al. 10.1088/1748-9326/ad38ce
- Monitoring Freeze-Thaw State by Means of GNSS Reflectometry: An Analysis of TechDemoSat-1 Data D. Comite et al. 10.1109/JSTARS.2020.2986859
- Discrepancies in the Simulated Global Terrestrial Latent Heat Flux from GLASS and MERRA-2 Surface Net Radiation Products X. Guo et al. 10.3390/rs12172763
- Electronic Atlas of Climatic Changes in the Western Russian Arctic in 1950–2021 as Geoinformatic Support of Railway Development A. Gvishiani et al. 10.3390/app13095278
- The ERA5-Land soil temperature bias in permafrost regions B. Cao et al. 10.5194/tc-14-2581-2020
- QUASI-DYNAMIC MODEL OF THE INTERCONNECTED POWER SYSTEM OF UKRAINE FOR A FREQUENCY STABILITY STUDY V. Pavlovsky et al. 10.15407/publishing2022.63.022
- Climate change in the western part of the Russian Arctic in 1980–2021. Part 2. Soil temperature, snow, humidity I. Serykh & A. Tolstikov 10.30758/0555-2648-2022-68-4-352-369
Latest update: 14 Dec 2024
Short summary
The active layer thickness (ALT) in middle-to-high northern latitudes from 1980 to 2017 was produced at 81 km2 resolution by a global land surface model (NASA's CLSM) with forcing fields from a reanalysis data set, MERRA-2. The simulated permafrost distribution and ALTs agree reasonably well with an observation-based map and in situ measurements, respectively. The accumulated above-freezing air temperature and maximum snow water equivalent explain most of the year-to-year variability of ALT.
The active layer thickness (ALT) in middle-to-high northern latitudes from 1980 to 2017 was...
