Articles | Volume 14, issue 1
https://doi.org/10.5194/tc-14-77-2020
© Author(s) 2020. 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-14-77-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 Jan 2020
Research article |
| 15 Jan 2020
| 15 Jan 2020
Estimation of subsurface porosities and thermal conductivities of polygonal tundra by coupled inversion of electrical resistivity, temperature, and moisture content data
Earth and Environmental Sciences Division, Los Alamos National
Laboratory, Los Alamos, New Mexico, USA
Dylan R. Harp
Earth and Environmental Sciences Division, Los Alamos National
Laboratory, Los Alamos, New Mexico, USA
Ethan T. Coon
Climate Change Science Institute and Environmental Sciences, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
Baptiste Dafflon
Climate and Ecosystem Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
Anh Phuong Tran
Climate and Ecosystem Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
Department of Water Research Engineering and Technology, Water Research Institute, Hanoi, Vietnam
Adam L. Atchley
Earth and Environmental Sciences Division, Los Alamos National
Laboratory, Los Alamos, New Mexico, USA
Youzuo Lin
Earth and Environmental Sciences Division, Los Alamos National
Laboratory, Los Alamos, New Mexico, USA
Cathy J. Wilson
Earth and Environmental Sciences Division, Los Alamos National
Laboratory, Los Alamos, New Mexico, USA
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Geosci. Model Dev., 13, 2259–2276, https://doi.org/10.5194/gmd-13-2259-2020, https://doi.org/10.5194/gmd-13-2259-2020, 2020
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Dylan R. Harp, Vitaly Zlotnik, Charles J. Abolt, Brent D. Newman, Adam L. Atchley, Elchin Jafarov, and Cathy J. Wilson
The Cryosphere Discuss., https://doi.org/10.5194/tc-2020-100, https://doi.org/10.5194/tc-2020-100, 2020
Manuscript not accepted for further review
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Polygon shaped land forms present in relatively flat Arctic tundra result in complex landscape scale water drainage. The drainage pathways and the time to transition from inundated conditions to drained have important implications for heat and carbon transport. Using fundamental hydrologic principles, we investigate the drainage pathways and timing of individual polygons providing insights into the effects of polygon geometry and preferential flow direction on drainage pathways and timing.
Nathan A. Wales, Jesus D. Gomez-Velez, Brent D. Newman, Cathy J. Wilson, Baptiste Dafflon, Timothy J. Kneafsey, Florian Soom, and Stan D. Wullschleger
Hydrol. Earth Syst. Sci., 24, 1109–1129, https://doi.org/10.5194/hess-24-1109-2020, https://doi.org/10.5194/hess-24-1109-2020, 2020
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Widely-used land models project near-surface drying of the terrestrial Arctic despite increases in the net water balance driven by climate change. Drying was generally associated with increases of active-layer depth and permafrost thaw in a warming climate. However, models lack important mechanisms such as thermokarst and soil subsidence that will change the hydrological regime and add to the large uncertainty in the future Arctic hydrological state and the associated permafrost carbon feedback.
Emmanuel Léger, Baptiste Dafflon, Yves Robert, Craig Ulrich, John E. Peterson, Sébastien C. Biraud, Vladimir E. Romanovsky, and Susan S. Hubbard
The Cryosphere, 13, 2853–2867, https://doi.org/10.5194/tc-13-2853-2019, https://doi.org/10.5194/tc-13-2853-2019, 2019
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We propose a new strategy called distributed temperature profiling (DTP) for improving the estimation of soil thermal properties through the use of an unprecedented number of laterally and vertically distributed temperature measurements. We tested a DTP system prototype by moving it sequentially across a discontinuous permafrost environment. The DTP enabled high-resolution identification of near-surface permafrost location and covariability with topography, vegetation, and soil properties.
Charles J. Abolt, Michael H. Young, Adam L. Atchley, and Cathy J. Wilson
The Cryosphere, 13, 237–245, https://doi.org/10.5194/tc-13-237-2019, https://doi.org/10.5194/tc-13-237-2019, 2019
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We present a workflow that uses a machine-learning algorithm known as a convolutional neural network (CNN) to rapidly delineate ice wedge polygons in high-resolution topographic datasets. Our workflow permits thorough assessments of polygonal microtopography at the kilometer scale or greater, which can improve understanding of landscape hydrology and carbon budgets. We demonstrate that a single CNN can be trained to delineate polygons with high accuracy in diverse tundra settings.
Kang Wang, Elchin Jafarov, Irina Overeem, Vladimir Romanovsky, Kevin Schaefer, Gary Clow, Frank Urban, William Cable, Mark Piper, Christopher Schwalm, Tingjun Zhang, Alexander Kholodov, Pamela Sousanes, Michael Loso, and Kenneth Hill
Earth Syst. Sci. Data, 10, 2311–2328, https://doi.org/10.5194/essd-10-2311-2018, https://doi.org/10.5194/essd-10-2311-2018, 2018
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Ground thermal and moisture data are important indicators of the rapid permafrost changes in the Arctic. To better understand the changes, we need a comprehensive dataset across various sites. We synthesize permafrost-related data in the state of Alaska. It should be a valuable permafrost dataset that is worth maintaining in the future. On a wider level, it also provides a prototype of basic data collection and management for permafrost regions in general.
Charles J. Abolt, Michael H. Young, Adam L. Atchley, and Dylan R. Harp
The Cryosphere, 12, 1957–1968, https://doi.org/10.5194/tc-12-1957-2018, https://doi.org/10.5194/tc-12-1957-2018, 2018
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We investigate the relationship between ice wedge polygon topography and near-surface ground temperature using a combination of field work and numerical modeling. We analyze a year-long record of ground temperature across a low-centered polygon, then demonstrate that lower rims and deeper troughs promote warmer conditions in the ice wedge in winter. This finding implies that ice wedge cracking and growth, which are driven by cold conditions, can be impeded by rim erosion or trough subsidence.
Gautam Bisht, William J. Riley, Haruko M. Wainwright, Baptiste Dafflon, Fengming Yuan, and Vladimir E. Romanovsky
Geosci. Model Dev., 11, 61–76, https://doi.org/10.5194/gmd-11-61-2018, https://doi.org/10.5194/gmd-11-61-2018, 2018
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The land model integrated into the Energy Exascale Earth System Model was extended to include snow redistribution (SR) and lateral subsurface hydrologic and thermal processes. Simulation results at a polygonal tundra site near Barrow, Alaska, showed that inclusion of SR resulted in a better agreement with observations. Excluding lateral subsurface processes had a small impact on mean states but caused a large overestimation of spatial variability in soil moisture and temperature.
Anh Phuong Tran, Baptiste Dafflon, and Susan S. Hubbard
The Cryosphere, 11, 2089–2109, https://doi.org/10.5194/tc-11-2089-2017, https://doi.org/10.5194/tc-11-2089-2017, 2017
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Soil organics carbon (SOC) and its influence on terrestrial ecosystem feedbacks to global warming in permafrost regions are particularly important for the prediction of future climate variation. Our study proposes a new surface–subsurface, joint deterministic–stochastic hydrological–thermal–geophysical inversion approach and documents the benefit of including multiple types of data to estimate the vertical profile of SOC content and its influence on hydrological–thermal dynamics.
Haruko M. Wainwright, Anna K. Liljedahl, Baptiste Dafflon, Craig Ulrich, John E. Peterson, Alessio Gusmeroli, and Susan S. Hubbard
The Cryosphere, 11, 857–875, https://doi.org/10.5194/tc-11-857-2017, https://doi.org/10.5194/tc-11-857-2017, 2017
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Snow has a profound impact on permafrost and ecosystem functioning in the Arctic tundra. This paper aims to characterize the variability of end-of-winter snow depth and its relationship to topography in ice-wedge polygon tundra of Arctic Alaska. In addition, we develop a Bayesian geostatistical method to integrate multiscale observational platforms (a snow probe, ground penetrating radar, unmanned aerial system and airborne lidar) for estimating snow depth in high resolution over a large area.
Anh Phuong Tran, Baptiste Dafflon, Susan S. Hubbard, Michael B. Kowalsky, Philip Long, Tetsu K. Tokunaga, and Kenneth H. Williams
Hydrol. Earth Syst. Sci., 20, 3477–3491, https://doi.org/10.5194/hess-20-3477-2016, https://doi.org/10.5194/hess-20-3477-2016, 2016
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Quantifying water and heat fluxes in the shallow subsurface is particularly important due to their strong control on recharge, evaporation and biogeochemical processes. This study developed and tested a new inversion scheme to estimate subsurface hydro-thermal parameters by joint using different hydrological, thermal and geophysical data. It is especially useful for the increasing number of studies that are taking advantage of autonomously collected measurements to explore ecosystem dynamics.
Kevin Schaefer and Elchin Jafarov
Biogeosciences, 13, 1991–2001, https://doi.org/10.5194/bg-13-1991-2016, https://doi.org/10.5194/bg-13-1991-2016, 2016
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Respiration in frozen soils is limited to within the thin water films surrounding soil particles. We parameterize volumetric water content (VWC) in frozen soil to represent the fraction of thawed carbon to simulate substrate availability. Simulated VWC and respiration match in situ and soil incubation data. The parameterization is most applicable when simulating carbon dynamics in permafrost for time scales of 100 years or greater.
Elchin Jafarov and Kevin Schaefer
The Cryosphere, 10, 465–475, https://doi.org/10.5194/tc-10-465-2016, https://doi.org/10.5194/tc-10-465-2016, 2016
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To improve the uncertainty in modeling of the permafrost carbon emission associated with the predicted climate warming, it is important to improve the simulation of the current permafrost carbon stock. This work shows how simulation of the frozen carbon in land system models can be improved by better addressing the coupling between plant photosynthesis, soil biogeochemistry, and soil thermodynamics.
A. A. Ali, C. Xu, A. Rogers, R. A. Fisher, S. D. Wullschleger, E. C. Massoud, J. A. Vrugt, J. D. Muss, N. G. McDowell, J. B. Fisher, P. B. Reich, and C. J. Wilson
Geosci. Model Dev., 9, 587–606, https://doi.org/10.5194/gmd-9-587-2016, https://doi.org/10.5194/gmd-9-587-2016, 2016
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We have developed a mechanistic model of leaf utilization of nitrogen for assimilation (LUNA V1.0) to predict the photosynthetic capacities at the global scale based on the optimization of key leaf-level metabolic processes. LUNA model predicts that future climatic changes would mostly affect plant photosynthetic capabilities in high-latitude regions and that Earth system models using fixed photosynthetic capabilities are likely to substantially overestimate future global photosynthesis.
D. R. Harp, A. L. Atchley, S. L. Painter, E. T. Coon, C. J. Wilson, V. E. Romanovsky, and J. C. Rowland
The Cryosphere, 10, 341–358, https://doi.org/10.5194/tc-10-341-2016, https://doi.org/10.5194/tc-10-341-2016, 2016
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This paper investigates the uncertainty associated with permafrost thaw projections at an intensively monitored site. Permafrost thaw projections are simulated using a thermal hydrology model forced by a worst-case carbon emission scenario. The uncertainties associated with active layer depth, saturation state, thermal regime, and thaw duration are quantified and compared with the effects of climate model uncertainty on permafrost thaw projections.
A. L. Atchley, S. L. Painter, D. R. Harp, E. T. Coon, C. J. Wilson, A. K. Liljedahl, and V. E. Romanovsky
Geosci. Model Dev., 8, 2701–2722, https://doi.org/10.5194/gmd-8-2701-2015, https://doi.org/10.5194/gmd-8-2701-2015, 2015
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Development and calibration of a process-rich model representation of thaw-depth dynamics in Arctic tundra is presented. Improved understanding of polygonal tundra thermal hydrology processes, of thermal conduction, surface and subsurface saturation and snowpack dynamics is gained by using measured field data to calibrate and refine model structure. The refined model is then used identify future data needs and observational studies.
Related subject area
Discipline: Frozen ground | Subject: Arctic (e.g. Greenland)
Validation of pan-Arctic soil temperatures in modern reanalysis and data assimilation systems
Characterization of atmospheric methane release in the outer Mackenzie River delta from biogenic and thermogenic sources
Accelerated mobilization of organic carbon from retrogressive thaw slumps on the northern Taymyr Peninsula
The importance of freeze–thaw cycles for lateral tracer transport in ice-wedge polygons
The cryostratigraphy of the Yedoma cliff of Sobo-Sise Island (Lena delta) reveals permafrost dynamics in the central Laptev Sea coastal region during the last 52 kyr
Thermokarst lake inception and development in syngenetic ice-wedge polygon terrain during a cooling climatic trend, Bylot Island (Nunavut), eastern Canadian Arctic
The current state and 125 kyr history of permafrost on the Kara Sea shelf: modeling constraints
A distributed temperature profiling method for assessing spatial variability in ground temperatures in a discontinuous permafrost region of Alaska
New insights into the environmental factors controlling the ground thermal regime across the Northern Hemisphere: a comparison between permafrost and non-permafrost areas
Circumpolar patterns of potential mean annual ground temperature based on surface state obtained from microwave satellite data
Tyler C. Herrington, Christopher G. Fletcher, and Heather Kropp
The Cryosphere, 18, 1835–1861, https://doi.org/10.5194/tc-18-1835-2024, https://doi.org/10.5194/tc-18-1835-2024, 2024
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Here we validate soil temperatures from eight reanalysis products across the pan-Arctic and compare their performance to a newly calculated ensemble mean soil temperature product. We find that most product soil temperatures have a relatively large RMSE of 2–9 K. It is found that the ensemble mean product outperforms individual reanalysis products. Therefore, we recommend the ensemble mean soil temperature product for the validation of climate models and for input to hydrological models.
Daniel Wesley, Scott Dallimore, Roger MacLeod, Torsten Sachs, and David Risk
The Cryosphere, 17, 5283–5297, https://doi.org/10.5194/tc-17-5283-2023, https://doi.org/10.5194/tc-17-5283-2023, 2023
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The Mackenzie River delta (MRD) is an ecosystem with high rates of methane production from biologic and geologic sources, but little research has been done to determine how often geologic or biogenic methane is emitted to the atmosphere. Stable carbon isotope analysis was used to identify the source of CH4 at several sites. Stable carbon isotope (δ13C-CH4) signatures ranged from −42 to −88 ‰ δ13C-CH4, indicating that CH4 emission in the MRD is caused by biologic and geologic sources.
Philipp Bernhard, Simon Zwieback, and Irena Hajnsek
The Cryosphere, 16, 2819–2835, https://doi.org/10.5194/tc-16-2819-2022, https://doi.org/10.5194/tc-16-2819-2022, 2022
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With climate change, Arctic hillslopes above ice-rich permafrost are vulnerable to enhanced carbon mobilization. In this work elevation change estimates generated from satellite observations reveal a substantial acceleration of carbon mobilization on the Taymyr Peninsula in Siberia between 2010 and 2021. The strong increase occurring in 2020 coincided with a severe Siberian heatwave and highlights that carbon mobilization can respond sharply and non-linearly to increasing temperatures.
Elchin E. Jafarov, Daniil Svyatsky, Brent Newman, Dylan Harp, David Moulton, and Cathy Wilson
The Cryosphere, 16, 851–862, https://doi.org/10.5194/tc-16-851-2022, https://doi.org/10.5194/tc-16-851-2022, 2022
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Recent research indicates the importance of lateral transport of dissolved carbon in the polygonal tundra, suggesting that the freeze-up period could further promote lateral carbon transport. We conducted subsurface tracer simulations on high-, flat-, and low-centered polygons to test the importance of the freeze–thaw cycle and freeze-up time for tracer mobility. Our findings illustrate the impact of hydraulic and thermal gradients on tracer mobility, as well as of the freeze-up time.
Sebastian Wetterich, Alexander Kizyakov, Michael Fritz, Juliane Wolter, Gesine Mollenhauer, Hanno Meyer, Matthias Fuchs, Aleksei Aksenov, Heidrun Matthes, Lutz Schirrmeister, and Thomas Opel
The Cryosphere, 14, 4525–4551, https://doi.org/10.5194/tc-14-4525-2020, https://doi.org/10.5194/tc-14-4525-2020, 2020
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In the present study, we analysed geochemical and sedimentological properties of relict permafrost and ground ice exposed at the Sobo-Sise Yedoma cliff in the eastern Lena delta in NE Siberia. We obtained insight into permafrost aggradation and degradation over the last approximately 52 000 years and the climatic and morphodynamic controls on regional-scale permafrost dynamics of the central Laptev Sea coastal region.
Frédéric Bouchard, Daniel Fortier, Michel Paquette, Vincent Boucher, Reinhard Pienitz, and Isabelle Laurion
The Cryosphere, 14, 2607–2627, https://doi.org/10.5194/tc-14-2607-2020, https://doi.org/10.5194/tc-14-2607-2020, 2020
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We combine lake mapping, landscape observations and sediment core analyses to document the evolution of a thermokarst (thaw) lake in the Canadian Arctic over the last millennia. We conclude that temperature is not the only driver of thermokarst development, as the lake likely started to form during a cooler period around 2000 years ago. The lake is now located in frozen layers with an organic carbon content that is an order of magnitude higher than the usually reported values across the Arctic.
Anatoliy Gavrilov, Vladimir Pavlov, Alexandr Fridenberg, Mikhail Boldyrev, Vanda Khilimonyuk, Elena Pizhankova, Sergey Buldovich, Natalia Kosevich, Ali Alyautdinov, Mariia Ogienko, Alexander Roslyakov, Maria Cherbunina, and Evgeniy Ospennikov
The Cryosphere, 14, 1857–1873, https://doi.org/10.5194/tc-14-1857-2020, https://doi.org/10.5194/tc-14-1857-2020, 2020
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The geocryological study of the Arctic shelf remains insufficient for economic activity. The article presents a study of its evolution by methods of math modeling of heat transfer in rocks. As a result, a model of the evolution and current state of the cryolithozone of the Kara shelf was created based on ideas about the history of its geocryological development over the past 125 kyr. The modeling results are correlated to the available field data and are presented as a geocryological map.
Emmanuel Léger, Baptiste Dafflon, Yves Robert, Craig Ulrich, John E. Peterson, Sébastien C. Biraud, Vladimir E. Romanovsky, and Susan S. Hubbard
The Cryosphere, 13, 2853–2867, https://doi.org/10.5194/tc-13-2853-2019, https://doi.org/10.5194/tc-13-2853-2019, 2019
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We propose a new strategy called distributed temperature profiling (DTP) for improving the estimation of soil thermal properties through the use of an unprecedented number of laterally and vertically distributed temperature measurements. We tested a DTP system prototype by moving it sequentially across a discontinuous permafrost environment. The DTP enabled high-resolution identification of near-surface permafrost location and covariability with topography, vegetation, and soil properties.
Olli Karjalainen, Miska Luoto, Juha Aalto, and Jan Hjort
The Cryosphere, 13, 693–707, https://doi.org/10.5194/tc-13-693-2019, https://doi.org/10.5194/tc-13-693-2019, 2019
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Using a statistical modelling framework, we examined the environmental factors controlling ground thermal regimes inside and outside the Northern Hemisphere permafrost domain. We found that climatic factors were paramount in both regions, but with varying relative importance and effect size. The relationships were often non-linear, especially in permafrost conditions. Our results suggest that these non-linearities should be accounted for in future ground thermal models at the hemisphere scale.
Christine Kroisleitner, Annett Bartsch, and Helena Bergstedt
The Cryosphere, 12, 2349–2370, https://doi.org/10.5194/tc-12-2349-2018, https://doi.org/10.5194/tc-12-2349-2018, 2018
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Knowledge about permafrost extent is required with respect to climate change. We used borehole temperature records from across the Arctic for the assessment of surface status information (frozen or unfrozen) derived from space-borne microwave sensors for permafrost extent mapping. The comparison to mean annual ground temperature (MAGT) at the coldest sensor depth revealed that not only extent but also temperature can be obtained from C-band-derived surface state with a residual error of 2.22 °C.
Cited articles
Abolt, C. J., Young, M. H., Atchley, A. L., and Harp, D. R.:
Microtopographic control on the ground thermal regime in ice wedge polygons,
The Cryosphere, 12, 1957–1968, https://doi.org/10.5194/tc-12-1957-2018,
2018.
Alifanov, O., Artyukhin, E., and Rumyantsev, S.: Extreme Methods for
Solving Ill-posed Problems with Application to Inverse Heat Transfer
Problems. Begell House, New York, 1996.
Archie, G. E.: The electrical resistivity log as an aid in determining some
reservoir characteristics, Society of Petroleum Engineers, T. AIME, 146,
54–62, 1942.
Atchley, A. L., Painter, S. L., Harp, D. R., Coon, E. T., Wilson, C. J., Liljedahl, A. K., and Romanovsky, V. E.: Using field observations to inform thermal hydrology models of permafrost dynamics with ATS (v0.83), Geosci. Model Dev., 8, 2701–2722, https://doi.org/10.5194/gmd-8-2701-2015, 2015.
Beck, J., Clair, C. S., and Blackwell, B.: Inverse Heat Conduction:
Ill-Posed Problems, Wiley, New York, 1985.
Biskaborn, B. K., Smith, S. L., and Noetzli, J.: Permafrost is warming at a global scale, Nat. Commun., 10, 264,
https://doi.org/10.1038/s41467-018-08240-4, 2019.
Boike, J. and Roth, K.: Time domain reflectometry as a field method for
measuring water content and soil water electrical conductivity at a
continuous permafrost site, Permafrost Periglac., 8, 359–370, 1997.
Dafflon, B., Oktem, R., Peterson, J., Ulrich, C., Tran, A. P., Romanovsky,
V., and Hubbard, S.: Coincident above and below-ground autonomous monitoring
strategy: Development and use to monitor Arctic ecosystem freeze thaw
dynamics, J. Geophys. Res.-Biogeo., 122, 1321–1342,
https://doi.org/10.1002/2016JG003724, 2017.
Doherty, J.: PEST-ASP user's manual, Watermark Numerical Computing, Brisbane, Australia, 2001.
Hansen, P. C.: Rank-Deficient and Discrete Ill-Posed Problems:
Numerical Aspects of Linear Inversion, Society for Industrial and Applied
Mathematics, 263 pp., https://doi.org/10.1137/1.9780898719697, 1998.
Harp, D. R., Atchley, A. L., Painter, S. L., Coon, E. T., Wilson, C. J., Romanovsky, V. E., and Rowland, J. C.: Effect of soil property uncertainties on permafrost thaw projections: a calibration-constrained analysis, The Cryosphere, 10, 341–358, https://doi.org/10.5194/tc-10-341-2016, 2016.
Hjort, J., Karjalainen, O., Aalto, J., Westermann, S., Romanovsky, V. E.,
Nelson, F. E. Etzelmüller, B., and Luoto, M.: Degrading permafrost puts
Arctic infrastructure at risk by mid-century, Nat. Commun.,
9, 5147, https://doi.org/10.1038/s41467-018-07557-4, 2018.
Jafarov, E. E., Marchenko, S. S., and Romanovsky, V. E.: Numerical modeling of permafrost dynamics in Alaska using a high spatial resolution dataset, The Cryosphere, 6, 613–624, https://doi.org/10.5194/tc-6-613-2012, 2012.
Jafarov, E. E., Coon E. T., Harp, D. R., Wilson, C. J., Painter, S. L.,
Atchley, A. L., and Romanovsky, V. E.: Modeling the role of preferential
snow accumulation in through talik development and hillslope groundwater
flow in a transitional permafrost landscape, Environ. Res. Lett., 13, 105006,
https://doi.org/10.1088/1748-9326/aadd30, 2018.
Johansen, O.: Thermal Conductivity of Soils No. CRREL-TL-637 Cold
Regions Research and Engineering Lab, Hanover, NH, 1977.
Kern, J. S.: Spatial Patterns of Soil Organic Carbon in the Contiguous
United States, Soil Sci. Soc. Am. J., 58, 439–455, 1994.
Koven, C. D., Riley, W. J., and Stern, A.: Analysis of permafrost thermal
dynamics and response to climate change in the CMIP5 earth system models, J.
Climate, 26, 1877–1900, https://doi.org/10.1175/JCLI-D-12--00228.1, 2013.
Levenberg, K.: A method for the solution of certain non-linear problems in
least squares, Quart. Appl. Math., 2, 164–168, 1944.
Liljedahl, A. K., Boike, J., Daanen, R. P., Fedorov, A. N., Frost, G. V., Grosse, G., Hinzman, L. D., Iijma, Y., Jorgenson, J. C., Matveyeva, N., Necsoiu, M., Raynolds, M. K., Romanovsky, V. E., Schulla, J., Tape, K. D., Walker, D. A., Wilson, C. J., Yabuki, H., and Zona, D.: Pan-Arctic ice-wedge degradation in warming permafrost and its influence on tundra hydrology, Nat. Geosci., 9, 312–318, 2016.
Marquardt, D. W.: An algorithm for least-squares estimation of nonlinear
parameters, J. Soc. Ind. Appl. Math., 11, 431–441, 1963.
McKay, M. D., Beckman, R. J., and Conover, W. J.: A Comparison of Three
Methods for Selecting Values of Input Variables in the Analysis of Output
from a Computer Code, American Statistical Association, 21, 239–245,
https://doi.org/10.2307/1268522, 1979.
McGuire, A. D., Lawrence, D. M., Koven, C., Clein, J. S., Burke, El., Chen, G., Jafarov, E., MacDougall, A. H., Marchenko, S., Nicolsky, D., Peng, S., Rinke, A., Ciais, P., Gouttevin, I., Hayes, D. J., Ji, D., Krinner, G., Moore, J. C., Romanovsky, V., Schädel, C., Schaefer, K., Schuur, E. A. G., and Zhuang, Q.: The dependence of the evolution of carbon dynamics
in the northern permafrost region on the trajectory of climate change, P.
Natl. Acad. Sci. USA, 115, 3882–3887, 2018.
Minsley, B. J., Wellman, T. P., Walvoord, M. A., and Revil, A.: Sensitivity of airborne geophysical data to sublacustrine and near-surface permafrost thaw, The Cryosphere, 9, 781–794, https://doi.org/10.5194/tc-9-781-2015, 2015.
Nicolsky, D. J., Romanovsky, V. E., and Tipenko, G. S.: Using in-situ temperature measurements to estimate saturated soil thermal properties by solving a sequence of optimization problems, The Cryosphere, 1, 41–58, https://doi.org/10.5194/tc-1-41-2007, 2007.
Nicolsky, D. J., Romanovsky, V. E., and Panteleev, G. G.: Estimation of soil
thermal properties using in-situ temperature measurements in the active
layer and permafrost, Cold Reg. Sci. Technol., 55, 120–129, 2009.
Oleson, K. W., Lawrence, D. M., Gordon, B., Bonan, G. B., Drewniak, B.,
Huang, M., Koven, C. D., Levis, S., Li, F., Riley, J. W., Subin, Z. M.,
Swenson, S. C., and Thornton, P. E.: Technical description of version 4.5 of
the Community Land Model (CLM), NCAR Technical Note NCAR/TN-503CSTR, 420 pp., https://doi.org/10.5065/D6RR1W7M, 2013.
Painter, S. L. and Karra, S.: Constitutive model for unfrozen water
content in subfreezing unsaturated soils, Vadose Zone J., 13, https://doi.org/10.2136/vzj2013.04.0071, 2014.
Painter, S. L., Coon, E. T., Atchley, A. L., Berndt, M., Garimella, R.,
Moulton, J. D., Svyatskiy, D., and Wilson, C. J.: Integrated
surface/subsurface permafrost thermal hydrology: model formulation and
proof-of-concept simulations, Water Resour. Res., 52, 6062–6077, 2016.
Peters-Lidard, C. D., Blackburn, E., Liang, X., and Wood, E. F.: The
effect of thermal conductivity parameterization on surface energy fluxes and
temperatures, J. Atmos., 55, 1209–1224, 1998.
Rücker, C., Günther, T., and Spitzer, K.: Three-dimensional
modelling and inversion of DC resistivity data incorporating topography –
I. modelling, Geophys. J. Int., 166, 495–505,
https://doi.org/10.1111/j.1365-246X.2006.03010.x, 2006
Schuster, P. F., Schaefer, K. M., Aiken, G. R., Antweiler, R. C., DeWild, J. F., Gryziec, J. D., Gusmeroli, A., Hugelius, G., Jafarov, E., Krabbenhoft, D. P., Liu, L., Herman-Mercer, N., Mu, C., Roth, D. A., Schaefer, T., Striegl, R. G., Wickland, K. P., and Zhang, T.: Permafrost stores globally significant amount
of mercury, Geophys. Res. Lett, 45, GRL56886,
https://doi.org/10.1002/2017GL075571, 2018.
Smith, M. and Tice, A.: Measurement of the unfrozen water content of soils
comparison of NMR and TDR methods, CRREL Report 88-18, US Army Cold Regions
Research and Engineering Lab, 16 pp., 1988.
Tran, A. P., Dafflon, B., and Hubbard, S. S.: Coupled land surface–subsurface hydrogeophysical inverse modeling to estimate soil organic carbon content and explore associated hydrological and thermal dynamics in the Arctic tundra, The Cryosphere, 11, 2089–2109, https://doi.org/10.5194/tc-11-2089-2017, 2017.
Vogel, C. R.: Computational Methods for Inverse Problems,
SIAM, 183 pp., ISBN: 9780898715507, 2002.
Wang, K., Jafarov, E., Overeem, I., Romanovsky, V., Schaefer, K., Clow, G., Urban, F., Cable, W., Piper, M., Schwalm, C., Zhang, T., Kholodov, A., Sousanes, P., Loso, M., and Hill, K.: A synthesis dataset of permafrost-affected soil thermal conditions for Alaska, USA, Earth Syst. Sci. Data, 10, 2311–2328, https://doi.org/10.5194/essd-10-2311-2018, 2018.
Yoshikawa, K., Overduin, P., and Harden, J.: Moisture content measurements
of moss (Sphagnum spp.) using commercial sensors, Permafrost Periglac., 15,
309–318, 2004.
Short summary
Improved subsurface parameterization and benchmarking data are needed to reduce current uncertainty in predicting permafrost response to a warming climate. We developed a subsurface parameter estimation framework that can be used to estimate soil properties where subsurface data are available. We utilize diverse geophysical datasets such as electrical resistance data, soil moisture data, and soil temperature data to recover soil porosity and soil thermal conductivity.
Improved subsurface parameterization and benchmarking data are needed to reduce current...
