Articles | Volume 13, issue 1
https://doi.org/10.5194/tc-13-197-2019
© 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-13-197-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
23 Jan 2019
Research article |
| 23 Jan 2019
| 23 Jan 2019
Sensitivity of active-layer freezing process to snow cover in Arctic Alaska
Yonghong Yi
CORRESPONDING AUTHOR
Jet Propulsion Laboratory, California Institute of Technology, 4800
Oak Grove Drive, Pasadena, CA, USA
John S. Kimball
Numerical Terradynamic Simulation Group, The University of Montana,
Missoula, MT, USA
Richard H. Chen
Department of Electrical Engineering, University of Southern
California, Los Angeles, CA, USA
Mahta Moghaddam
Department of Electrical Engineering, University of Southern
California, Los Angeles, CA, USA
Charles E. Miller
Jet Propulsion Laboratory, California Institute of Technology, 4800
Oak Grove Drive, Pasadena, CA, USA
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Atmos. Chem. Phys., 18, 185–202, https://doi.org/10.5194/acp-18-185-2018, https://doi.org/10.5194/acp-18-185-2018, 2018
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We developed a global land parameter data record (LPDR; 2002–2015) using satellite microwave observations. The LPDR algorithms exploit multifrequency microwave observations to derive a set of environmental variables, including surface fractional water, atmosphere precipitable water vapor, daily surface air temperatures, vegetation optical depth, and volumetric soil moisture. The resulting LPDR shows favorable accuracy and provides for the consistent monitoring of global environmental changes.
Kristal R. Verhulst, Anna Karion, Jooil Kim, Peter K. Salameh, Ralph F. Keeling, Sally Newman, John Miller, Christopher Sloop, Thomas Pongetti, Preeti Rao, Clare Wong, Francesca M. Hopkins, Vineet Yadav, Ray F. Weiss, Riley M. Duren, and Charles E. Miller
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Youngwook Kim, John S. Kimball, Joseph Glassy, and Jinyang Du
Earth Syst. Sci. Data, 9, 133–147, https://doi.org/10.5194/essd-9-133-2017, https://doi.org/10.5194/essd-9-133-2017, 2017
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A new freeze–thaw (FT) Earth system data record (ESDR) was developed from satellite passive microwave remote sensing that quantifies the daily landscape frozen or non-frozen status over a 25 km resolution global grid and 1979–2014 record. The FT-ESDR shows favorable accuracy and performance, enabling new studies of climate change and frozen season impacts on surface water mobility and ecosystem processes.
Annmarie Eldering, Chris W. O'Dell, Paul O. Wennberg, David Crisp, Michael R. Gunson, Camille Viatte, Charles Avis, Amy Braverman, Rebecca Castano, Albert Chang, Lars Chapsky, Cecilia Cheng, Brian Connor, Lan Dang, Gary Doran, Brendan Fisher, Christian Frankenberg, Dejian Fu, Robert Granat, Jonathan Hobbs, Richard A. M. Lee, Lukas Mandrake, James McDuffie, Charles E. Miller, Vicky Myers, Vijay Natraj, Denis O'Brien, Gregory B. Osterman, Fabiano Oyafuso, Vivienne H. Payne, Harold R. Pollock, Igor Polonsky, Coleen M. Roehl, Robert Rosenberg, Florian Schwandner, Mike Smyth, Vivian Tang, Thomas E. Taylor, Cathy To, Debra Wunch, and Jan Yoshimizu
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Jinyang Du, John S. Kimball, Claude Duguay, Youngwook Kim, and Jennifer D. Watts
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A new automated method for microwave satellite assessment of lake ice conditions at 5 km resolution was developed for lakes in the Northern Hemisphere. The resulting ice record shows strong agreement with ground observations and alternative ice records. Higher latitude lakes reveal more widespread and larger trends toward shorter ice cover duration than lower latitude lakes. The new approach allows for rapid monitoring of lake ice cover changes, with accuracy suitable for global change studies.
Clare K. Wong, Thomas J. Pongetti, Tom Oda, Preeti Rao, Kevin R. Gurney, Sally Newman, Riley M. Duren, Charles E. Miller, Yuk L. Yung, and Stanley P. Sander
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Methane is the second most important greenhouse gas and a target of new emissions regulations in the United States. Despite its importance, its emissions are poorly understood. In this study, we used a remote sensing instrument located on Mount Wilson to estimate the monthly and annual methane emissions from Los Angeles. Derived methane emissions from Los Angeles showed consistent peaks in late summer/early fall and winter during the study period from 2011 to 2015.
Xiyan Xu, William J. Riley, Charles D. Koven, Dave P. Billesbach, Rachel Y.-W. Chang, Róisín Commane, Eugénie S. Euskirchen, Sean Hartery, Yoshinobu Harazono, Hiroki Iwata, Kyle C. McDonald, Charles E. Miller, Walter C. Oechel, Benjamin Poulter, Naama Raz-Yaseef, Colm Sweeney, Margaret Torn, Steven C. Wofsy, Zhen Zhang, and Donatella Zona
Biogeosciences, 13, 5043–5056, https://doi.org/10.5194/bg-13-5043-2016, https://doi.org/10.5194/bg-13-5043-2016, 2016
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Wetlands are the largest global natural methane source. Peat-rich bogs and fens lying between 50°N and 70°N contribute 10–30% to this source. The predictive capability of the seasonal methane cycle can directly affect the estimation of global methane budget. We present multiscale methane seasonal emission by observations and modeling and find that the uncertainties in predicting the seasonal methane emissions are from the wetland extent, cold-season CH4 production and CH4 transport processes.
Sha Feng, Thomas Lauvaux, Sally Newman, Preeti Rao, Ravan Ahmadov, Aijun Deng, Liza I. Díaz-Isaac, Riley M. Duren, Marc L. Fischer, Christoph Gerbig, Kevin R. Gurney, Jianhua Huang, Seongeun Jeong, Zhijin Li, Charles E. Miller, Darragh O'Keeffe, Risa Patarasuk, Stanley P. Sander, Yang Song, Kam W. Wong, and Yuk L. Yung
Atmos. Chem. Phys., 16, 9019–9045, https://doi.org/10.5194/acp-16-9019-2016, https://doi.org/10.5194/acp-16-9019-2016, 2016
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We developed a high-resolution land–atmosphere modelling system for urban CO2 emissions over the LA Basin. We evaluated various model configurations, FFCO2 products, and the impact of the model resolution. FFCO2 emissions outpace the atmospheric model resolution to represent the CO2 concentration variability across the basin. A novel forward model approach is presented to evaluate the surface measurement network, reinforcing the importance of using high-resolution emission products.
Le Kuai, John R. Worden, King-Fai Li, Glynn C. Hulley, Francesca M. Hopkins, Charles E. Miller, Simon J. Hook, Riley M. Duren, and Andrew D. Aubrey
Atmos. Meas. Tech., 9, 3165–3173, https://doi.org/10.5194/amt-9-3165-2016, https://doi.org/10.5194/amt-9-3165-2016, 2016
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This paper describes the retrieval algorithm to estimate the lower tropospheric methane concentrations using Hyperspectral Thermal Emission Spectrometer (HyTES) airborne measurements. This project aims to map and detect methane plumes from the oil leaking or dairy emission. Our results demonstrate an example of the quantitative retrievals, imaged a big methane plume from storage tanks near Kern River Oil Field. The methane enhancement is well above the uncertainties of the estimates.
Glynn C. Hulley, Riley M. Duren, Francesca M. Hopkins, Simon J. Hook, Nick Vance, Pierre Guillevic, William R. Johnson, Bjorn T. Eng, Jonathan M. Mihaly, Veljko M. Jovanovic, Seth L. Chazanoff, Zak K. Staniszewski, Le Kuai, John Worden, Christian Frankenberg, Gerardo Rivera, Andrew D. Aubrey, Charles E. Miller, Nabin K. Malakar, Juan M. Sánchez Tomás, and Kendall T. Holmes
Atmos. Meas. Tech., 9, 2393–2408, https://doi.org/10.5194/amt-9-2393-2016, https://doi.org/10.5194/amt-9-2393-2016, 2016
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Using data from a new airborne Hyperspectral Thermal Emission Spectrometer (HyTES) instrument, we present a technique for the detection and wide-area mapping of emission plumes of methane and other atmospheric trace gas species over challenging and diverse environmental conditions with high spatial resolution, that permits direct attribution to sources in complex environments.
Anna Karion, Colm Sweeney, John B. Miller, Arlyn E. Andrews, Roisin Commane, Steven Dinardo, John M. Henderson, Jacob Lindaas, John C. Lin, Kristina A. Luus, Tim Newberger, Pieter Tans, Steven C. Wofsy, Sonja Wolter, and Charles E. Miller
Atmos. Chem. Phys., 16, 5383–5398, https://doi.org/10.5194/acp-16-5383-2016, https://doi.org/10.5194/acp-16-5383-2016, 2016
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Northern high-latitude carbon sources and sinks, including those resulting from degrading permafrost, are thought to be sensitive to the rapidly warming climate. Here we use carbon dioxide and methane measurements from a tower near Fairbanks AK to investigate regional Alaskan fluxes of CO2 and CH4 for 2012–2014.
Susan Kulawik, Debra Wunch, Christopher O'Dell, Christian Frankenberg, Maximilian Reuter, Tomohiro Oda, Frederic Chevallier, Vanessa Sherlock, Michael Buchwitz, Greg Osterman, Charles E. Miller, Paul O. Wennberg, David Griffith, Isamu Morino, Manvendra K. Dubey, Nicholas M. Deutscher, Justus Notholt, Frank Hase, Thorsten Warneke, Ralf Sussmann, John Robinson, Kimberly Strong, Matthias Schneider, Martine De Mazière, Kei Shiomi, Dietrich G. Feist, Laura T. Iraci, and Joyce Wolf
Atmos. Meas. Tech., 9, 683–709, https://doi.org/10.5194/amt-9-683-2016, https://doi.org/10.5194/amt-9-683-2016, 2016
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To accurately estimate source and sink locations of carbon dioxide, systematic errors in satellite measurements and models must be characterized. This paper examines two satellite data sets (GOSAT, launched 2009, and SCIAMACHY, launched 2002), and two models (CarbonTracker and MACC) vs. the TCCON CO2 validation data set. We assess biases and errors by season and latitude, satellite performance under averaging, and diurnal variability. Our findings are useful for assimilation of satellite data.
P. Dass, M. A. Rawlins, J. S. Kimball, and Y. Kim
Biogeosciences, 13, 45–62, https://doi.org/10.5194/bg-13-45-2016, https://doi.org/10.5194/bg-13-45-2016, 2016
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Productivity of the vegetation of northern Eurasia has been found to be increasing over the last few decades. Using statistical tools we investigate major factors driving the increase in photosynthetic activity. Most of this change is explained by rising temperatures, which drive an increase in productivity. However, the contribution of changing patterns of rainfall and cloudiness is also significant, especially in the southern parts of the region which exhibit higher drought vulnerability.
Y. Yi, J. S. Kimball, M. A. Rawlins, M. Moghaddam, and E. S. Euskirchen
Biogeosciences, 12, 5811–5829, https://doi.org/10.5194/bg-12-5811-2015, https://doi.org/10.5194/bg-12-5811-2015, 2015
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We found that regional warming promotes widespread deepening of soil thaw in the pan-Arctic area; continued warming will most likely promote permafrost degradation in the warm permafrost areas. We also found that deeper snowpack enhances soil respiration from deeper soil carbon pool more than temperature does, particularly in the cold permafrost areas, where a large amount of soil carbon is stored in deep perennial frozen soils but is potentially vulnerable to mobilization from climate change.
J. M. Henderson, J. Eluszkiewicz, M. E. Mountain, T. Nehrkorn, R. Y.-W. Chang, A. Karion, J. B. Miller, C. Sweeney, N. Steiner, S. C. Wofsy, and C. E. Miller
Atmos. Chem. Phys., 15, 4093–4116, https://doi.org/10.5194/acp-15-4093-2015, https://doi.org/10.5194/acp-15-4093-2015, 2015
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This paper describes the atmospheric modeling that underlies the science analysis for the NASA Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE). Summary statistics of the WRF meteorological model performance on a 3.3 km grid indicate good overall agreement with surface and radiosonde observations. The high quality of the WRF meteorological fields inspires confidence in their use to drive the STILT transport model for the purpose of computing surface influence fields (“footprints”).
K. W. Wong, D. Fu, T. J. Pongetti, S. Newman, E. A. Kort, R. Duren, Y.-K. Hsu, C. E. Miller, Y. L. Yung, and S. P. Sander
Atmos. Chem. Phys., 15, 241–252, https://doi.org/10.5194/acp-15-241-2015, https://doi.org/10.5194/acp-15-241-2015, 2015
J. B. Fisher, M. Sikka, W. C. Oechel, D. N. Huntzinger, J. R. Melton, C. D. Koven, A. Ahlström, M. A. Arain, I. Baker, J. M. Chen, P. Ciais, C. Davidson, M. Dietze, B. El-Masri, D. Hayes, C. Huntingford, A. K. Jain, P. E. Levy, M. R. Lomas, B. Poulter, D. Price, A. K. Sahoo, K. Schaefer, H. Tian, E. Tomelleri, H. Verbeeck, N. Viovy, R. Wania, N. Zeng, and C. E. Miller
Biogeosciences, 11, 4271–4288, https://doi.org/10.5194/bg-11-4271-2014, https://doi.org/10.5194/bg-11-4271-2014, 2014
P. Ciais, A. J. Dolman, A. Bombelli, R. Duren, A. Peregon, P. J. Rayner, C. Miller, N. Gobron, G. Kinderman, G. Marland, N. Gruber, F. Chevallier, R. J. Andres, G. Balsamo, L. Bopp, F.-M. Bréon, G. Broquet, R. Dargaville, T. J. Battin, A. Borges, H. Bovensmann, M. Buchwitz, J. Butler, J. G. Canadell, R. B. Cook, R. DeFries, R. Engelen, K. R. Gurney, C. Heinze, M. Heimann, A. Held, M. Henry, B. Law, S. Luyssaert, J. Miller, T. Moriyama, C. Moulin, R. B. Myneni, C. Nussli, M. Obersteiner, D. Ojima, Y. Pan, J.-D. Paris, S. L. Piao, B. Poulter, S. Plummer, S. Quegan, P. Raymond, M. Reichstein, L. Rivier, C. Sabine, D. Schimel, O. Tarasova, R. Valentini, R. Wang, G. van der Werf, D. Wickland, M. Williams, and C. Zehner
Biogeosciences, 11, 3547–3602, https://doi.org/10.5194/bg-11-3547-2014, https://doi.org/10.5194/bg-11-3547-2014, 2014
J. D. Watts, J. S. Kimball, F. J. W. Parmentier, T. Sachs, J. Rinne, D. Zona, W. Oechel, T. Tagesson, M. Jackowicz-Korczyński, and M. Aurela
Biogeosciences, 11, 1961–1980, https://doi.org/10.5194/bg-11-1961-2014, https://doi.org/10.5194/bg-11-1961-2014, 2014
Related subject area
Discipline: Frozen ground | Subject: Remote Sensing
Allometric scaling of retrogressive thaw slumps
Brief communication: Identification of tundra topsoil frozen/thawed state from SMAP and GCOM-W1 radiometer measurements using the spectral gradient method
Bedfast and floating-ice dynamics of thermokarst lakes using a temporal deep-learning mapping approach: case study of the Old Crow Flats, Yukon, Canada
Contribution of ground ice melting to the expansion of Selin Co (lake) on the Tibetan Plateau
Incorporating InSAR kinematics into rock glacier inventories: insights from 11 regions worldwide
Assessing volumetric change distributions and scaling relations of retrogressive thaw slumps across the Arctic
Top-of-permafrost ground ice indicated by remotely sensed late-season subsidence
Inventory and changes of rock glacier creep speeds in Ile Alatau and Kungöy Ala-Too, northern Tien Shan, since the 1950s
The catastrophic thermokarst lake drainage events of 2018 in northwestern Alaska: fast-forward into the future
Global Positioning System interferometric reflectometry (GPS-IR) measurements of ground surface elevation changes in permafrost areas in northern Canada
InSAR time series analysis of seasonal surface displacement dynamics on the Tibetan Plateau
Rapid retreat of permafrost coastline observed with aerial drone photogrammetry
Brief communication: Rapid machine-learning-based extraction and measurement of ice wedge polygons in high-resolution digital elevation models
An estimate of ice wedge volume for a High Arctic polar desert environment, Fosheim Peninsula, Ellesmere Island
Jurjen van der Sluijs, Steven V. Kokelj, and Jon F. Tunnicliffe
The Cryosphere, 17, 4511–4533, https://doi.org/10.5194/tc-17-4511-2023, https://doi.org/10.5194/tc-17-4511-2023, 2023
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There is an urgent need to obtain size and erosion estimates of climate-driven landslides, such as retrogressive thaw slumps. We evaluated surface interpolation techniques to estimate slump erosional volumes and developed a new inventory method by which the size and activity of these landslides are tracked through time. Models between slump area and volume reveal non-linear intensification, whereby model coefficients improve our understanding of how permafrost landscapes may evolve over time.
Konstantin Muzalevskiy, Zdenek Ruzicka, Alexandre Roy, Michael Loranty, and Alexander Vasiliev
The Cryosphere, 17, 4155–4164, https://doi.org/10.5194/tc-17-4155-2023, https://doi.org/10.5194/tc-17-4155-2023, 2023
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A new all-weather method for determining the frozen/thawed (FT) state of soils in the Arctic region based on satellite data was proposed. The method is based on multifrequency measurement of brightness temperatures by the SMAP and GCOM-W1/AMSR2 satellites. The created method was tested at sites in Canada, Finland, Russia, and the USA, based on climatic weather station data. The proposed method identifies the FT state of Arctic soils with better accuracy than existing methods.
Maria Shaposhnikova, Claude Duguay, and Pascale Roy-Léveillée
The Cryosphere, 17, 1697–1721, https://doi.org/10.5194/tc-17-1697-2023, https://doi.org/10.5194/tc-17-1697-2023, 2023
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We explore lake ice in the Old Crow Flats, Yukon, Canada, using a novel approach that employs radar imagery and deep learning. Results indicate an 11 % increase in the fraction of lake ice that grounds between 1992/1993 and 2020/2021. We believe this is caused by widespread lake drainage and fluctuations in water level and snow depth. This transition is likely to have implications for permafrost beneath the lakes, with a potential impact on methane ebullition and the regional carbon budget.
Lingxiao Wang, Lin Zhao, Huayun Zhou, Shibo Liu, Erji Du, Defu Zou, Guangyue Liu, Yao Xiao, Guojie Hu, Chong Wang, Zhe Sun, Zhibin Li, Yongping Qiao, Tonghua Wu, Chengye Li, and Xubing Li
The Cryosphere, 16, 2745–2767, https://doi.org/10.5194/tc-16-2745-2022, https://doi.org/10.5194/tc-16-2745-2022, 2022
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Selin Co has exhibited the greatest increase in water storage among all the lakes on the Tibetan Plateau in the past decades. This study presents the first attempt to quantify the water contribution of ground ice melting to the expansion of Selin Co by evaluating the ground surface deformation since terrain surface settlement provides a
windowto detect the subsurface ground ice melting. Results reveal that ground ice meltwater contributed ~ 12 % of the lake volume increase during 2017–2020.
Aldo Bertone, Chloé Barboux, Xavier Bodin, Tobias Bolch, Francesco Brardinoni, Rafael Caduff, Hanne H. Christiansen, Margaret M. Darrow, Reynald Delaloye, Bernd Etzelmüller, Ole Humlum, Christophe Lambiel, Karianne S. Lilleøren, Volkmar Mair, Gabriel Pellegrinon, Line Rouyet, Lucas Ruiz, and Tazio Strozzi
The Cryosphere, 16, 2769–2792, https://doi.org/10.5194/tc-16-2769-2022, https://doi.org/10.5194/tc-16-2769-2022, 2022
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We present the guidelines developed by the IPA Action Group and within the ESA Permafrost CCI project to include InSAR-based kinematic information in rock glacier inventories. Nine operators applied these guidelines to 11 regions worldwide; more than 3600 rock glaciers are classified according to their kinematics. We test and demonstrate the feasibility of applying common rules to produce homogeneous kinematic inventories at global scale, useful for hydrological and climate change purposes.
Philipp Bernhard, Simon Zwieback, Nora Bergner, and Irena Hajnsek
The Cryosphere, 16, 1–15, https://doi.org/10.5194/tc-16-1-2022, https://doi.org/10.5194/tc-16-1-2022, 2022
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We present an investigation of retrogressive thaw slumps in 10 study sites across the Arctic. These slumps have major impacts on hydrology and ecosystems and can also reinforce climate change by the mobilization of carbon. Using time series of digital elevation models, we found that thaw slump change rates follow a specific type of distribution that is known from landslides in more temperate landscapes and that the 2D area change is strongly related to the 3D volumetric change.
Simon Zwieback and Franz J. Meyer
The Cryosphere, 15, 2041–2055, https://doi.org/10.5194/tc-15-2041-2021, https://doi.org/10.5194/tc-15-2041-2021, 2021
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Thawing of ice-rich permafrost leads to subsidence and slumping, which can compromise Arctic infrastructure. However, we lack fine-scale maps of permafrost ground ice, chiefly because it is usually invisible at the surface. We show that subsidence at the end of summer serves as a
fingerprintwith which near-surface permafrost ground ice can be identified. As this can be done with satellite data, this method may help improve ground ice maps and thus sustainably steward the Arctic.
Andreas Kääb, Tazio Strozzi, Tobias Bolch, Rafael Caduff, Håkon Trefall, Markus Stoffel, and Alexander Kokarev
The Cryosphere, 15, 927–949, https://doi.org/10.5194/tc-15-927-2021, https://doi.org/10.5194/tc-15-927-2021, 2021
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We present a map of rock glacier motion over parts of the northern Tien Shan and time series of surface speed for six of them over almost 70 years.
This is by far the most detailed investigation of this kind available for central Asia.
We detect a 2- to 4-fold increase in rock glacier motion between the 1950s and present, which we attribute to atmospheric warming.
Relative to the shrinking glaciers in the region, this implies increased importance of periglacial sediment transport.
Ingmar Nitze, Sarah W. Cooley, Claude R. Duguay, Benjamin M. Jones, and Guido Grosse
The Cryosphere, 14, 4279–4297, https://doi.org/10.5194/tc-14-4279-2020, https://doi.org/10.5194/tc-14-4279-2020, 2020
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In summer 2018, northwestern Alaska was affected by widespread lake drainage which strongly exceeded previous observations. We analyzed the spatial and temporal patterns with remote sensing observations, weather data and lake-ice simulations. The preceding fall and winter season was the second warmest and wettest on record, causing the destabilization of permafrost and elevated water levels which likely led to widespread and rapid lake drainage during or right after ice breakup.
Jiahua Zhang, Lin Liu, and Yufeng Hu
The Cryosphere, 14, 1875–1888, https://doi.org/10.5194/tc-14-1875-2020, https://doi.org/10.5194/tc-14-1875-2020, 2020
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Ground surface in permafrost areas undergoes uplift and subsides seasonally due to freezing–thawing active layer. Surface elevation change serves as an indicator of frozen-ground dynamics. In this study, we identify 12 GPS stations across the Canadian Arctic, which are useful for measuring elevation changes by using reflected GPS signals. Measurements span from several years to over a decade and at daily intervals and help to reveal frozen ground dynamics at various temporal and spatial scales.
Eike Reinosch, Johannes Buckel, Jie Dong, Markus Gerke, Jussi Baade, and Björn Riedel
The Cryosphere, 14, 1633–1650, https://doi.org/10.5194/tc-14-1633-2020, https://doi.org/10.5194/tc-14-1633-2020, 2020
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In this research we present the results of our satellite analysis of a permafrost landscape and periglacial landforms in mountainous regions on the Tibetan Plateau. We study seasonal and multiannual surface displacement processes, such as the freezing and thawing of the ground, seasonally accelerated sliding on steep slopes, and continuous permafrost creep. This study is the first step of our goal to create an inventory of actively moving landforms within the Nyainqêntanglha range.
Andrew M. Cunliffe, George Tanski, Boris Radosavljevic, William F. Palmer, Torsten Sachs, Hugues Lantuit, Jeffrey T. Kerby, and Isla H. Myers-Smith
The Cryosphere, 13, 1513–1528, https://doi.org/10.5194/tc-13-1513-2019, https://doi.org/10.5194/tc-13-1513-2019, 2019
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Episodic changes of permafrost coastlines are poorly understood in the Arctic. By using drones, satellite images, and historic photos we surveyed a permafrost coastline on Qikiqtaruk – Herschel Island. We observed short-term coastline retreat of 14.5 m per year (2016–2017), exceeding long-term average rates of 2.2 m per year (1952–2017). Our study highlights the value of these tools to assess understudied episodic changes of eroding permafrost coastlines in the context of a warming Arctic.
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.
Claire Bernard-Grand'Maison and Wayne Pollard
The Cryosphere, 12, 3589–3604, https://doi.org/10.5194/tc-12-3589-2018, https://doi.org/10.5194/tc-12-3589-2018, 2018
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This study provides a first approximation of the volume of ice in ice wedges, a ground-ice feature in permafrost for a High Arctic polar desert region. We demonstrate that Geographical Information System analyses can be used on satellite images to estimate ice wedge volume. We estimate that 3.81 % of the top 5.9 m of permafrost could be ice-wedge ice on the Fosheim Peninsula. In response to climate change, melting ice wedges will result in widespread terrain disturbance in this region.
Cited articles
Arcioni, M., Bensi, P., Fehringer, M., Fois, F., Heliere, F., Lin, C.-C., and
Scipal, K.: The Biomass mission, status of the satellite system, 2014 IEEE
Geoscience and Remote Sensing Symposium, Quebec City, QC,
1413–1416, https://doi.org/10.1109/IGARSS.2014.6946700, 2014.
Armstrong, R., Brodzik, M. J., Knowles, K., and Savoie, M.: Global
Monthly EASE-Grid Snow Water Equivalent Climatology, Version 1, Indicate
subset used, Boulder, Colorado USA, NASA National Snow and Ice Data Center,
Distributed Active Archive Center, https://doi.org/10.5067/KJVERY3MIBPS, 2005.
Banin, A. and Anderson, D. M.: Effects of Salt Concentration Changes During
Freezing on the Unfrozen Water Content of Porous Materials, Water Resour.
Res., 10, 124–128, https://doi.org/10.1029/WR010i001p00124, 1974.
Biskaborn, B. K., Lanckman, J.-P., Lantuit, H., Elger, K., Streletskiy, D. A., Cable, W. L.,
and Romanovsky, V. E.: The new database of the Global Terrestrial Network for
Permafrost (GTN-P), Earth Syst. Sci. Data, 7, 245–259, https://doi.org/10.5194/essd-7-245-2015, 2015.
Brown, J., Hinkel, K. M., and Nelson, F. E.: The circumpolar active layer
monitoring (CALM) program: Research designs and initial results, Polar
Geography, 24, 166–258, 2000.
Brown, R., Derksen, C., and Wang, L.: A multi-data set analysis of
variability and change in Arctic spring snow cover extent, 1967–2008,
J. Geophys. Res., 115, D16111, https://doi.org/10.1029/2010JD013975, 2010.
Brown, R. D. and Derksen, C.: Is Eurasian October snow cover extent
increasing?, Environ. Res. Lett., 8, 024006,
https://doi.org/10.1088/1748-9326/8/2/024006, 2013.
Burke, E. J., Dankers, R., Jones, C. D., and Wiltshire, A. J.: A
retrospective analysis of pan Arctic permafrost using the JULES land surface
model, Clim. Dynam., 41, 1025–1038,
https://doi.org/10.1007/s00382-012-1648-x, 2013.
Calonne, N., Flin, F., Morin, S., Lesaffre, B., du Roscoat, S. R., and
Geindreau, C.: Numerical and experimental investigations of the effective
thermal conductivity of snow, Geophys. Res. Lett., 38, L23501,
https://doi.org/10.1029/2011GL049234, 2011.
Chen, R. H., Tabatabaeenejad, A., and Moghaddam, M.: P-Band Radar Retrieval
of Permafrost Active Layer Properties: Time-Series Approach and Validation
with in-situ Observations IEEE International Geoscience and Remote
Sensing Symposium (IGARSS), Valencia, 6777–6779, https://doi.org/10.1109/IGARSS.2018.8518179, 2018.
Chen, R. H., Tabatabaeenejad, A., and Moghaddam, M.: Retrieval of Permafrost
Active Layer Properties Using Time-Series P-Band Radar Observations, IEEE
T. Geosci. Remote, accepted, 2019.
Commane, R., Lindaas, J., Benmergui, J., Luus, K. A., Chang, R. Y.-W., Daube, B. C.,
Euskirchen, E. S., Henderson, J. M., Karion, A., Miller, J. B., Miller, S. M.,
Parazoo, N. C., Randerson, J. T., Sweeney, C., Tans, P., Thoning, K., Veraverbeke, S.,
Miller, C. E. and Wofsy, S. C.: Carbon dioxide sources from Alaska driven by increasing
early winter respiration from Arctic tundra, P. Natl. Acad. Sci. USA,
https://doi.org/10.1073/pnas.1618567114, 2017.
Deems, J. S., Painter, T. H., and Finnegan, D. C.: Lidar measurement of snow
depth: a review, J. Glaciol., 59, 467–479,
https://doi.org/10.3189/2013JoG12J154, 2013.
De Lannoy, G. J. M., Koster, R. D., Reichle, R. H., Mahanama, S. P. P., and
Liu, Q.: An updated treatment of soil texture and associated hydraulic
properties in a global land modeling system, J. Adv. Model.
Earth Sy., 6, 957–979, 2014.
Derksen, C., Xu, X., Scott Dunbar, R., Colliander, A., Kim, Y., Kimball, J.
S., Black, T. A., Euskirchen, E., Langlois, A., Loranty, M. M., Marsh, P.,
Rautiainen, K., Roy, A., Royer, A., and Stephens, J.: Retrieving landscape
freeze/thaw state from Soil Moisture Active Passive (SMAP) radar and
radiometer measurements, Remote Sens. Environ., 194, 48–62,
https://doi.org/10.1016/j.rse.2017.03.007, 2017.
Dobson, M., Ulaby, F., Hallikainen, M., and El-rayes, M.: Microwave
Dielectric Behavior of Wet Soil-Part II: Dielectric Mixing Models, IEEE
T. Geosci. Remote, GE-23, 35–46,
https://doi.org/10.1109/TGRS.1985.289498, 1985.
Engstrom, R., Hope, A., Kwon, H., Stow, D., and Zamolodchikov, D.: Spatial
distribution of near surface soil moisture and its relationship to
microtopography in the Alaskan Arctic coastal plain, Hydrol. Res., 36, 219–234,
https://doi.org/10.2166/nh.2005.0016, 2005.
Euskirchen, E. S., Bret-Harte, M. S., Shaver, G. R., Edgar, C. W., and
Romanovsky, V. E.: Long-Term Release of Carbon Dioxide from Arctic Tundra
Ecosystems in Alaska, Ecosystems, 20, 960–974,
https://doi.org/10.1007/s10021-016-0085-9, 2017.
Farouki, O. T.: Thermal properties of soils, Report No. 81, CRREL
Monograph, United States Army Corps of Engineers Cold Regions Research and Engineering Laboratory, Hanover, New Hampshire, USA, 1981.
Frei, A., Tedesco, M., Lee, S., Foster, J., Hall, D. K., Kelly, R., and
Robinson, D. A.: A review of global satellite-derived snow products,
Adv. Space Res., 50, 1007–1029,
https://doi.org/10.1016/j.asr.2011.12.021, 2012.
Gafurov, A. and Bárdossy, A.: Cloud removal methodology from MODIS snow cover
product, Hydrol. Earth Syst. Sci., 13, 1361–1373, https://doi.org/10.5194/hess-13-1361-2009, 2009.
Gelaro, R., McCarty, W., Suárez, M. J., Todling, R., Molod, A., Takacs, L., Randles, C. A.,
Darmenov, A., Bosilovich, M. G., Reichle, R., Wargan, K., Coy, L., Cullather, R., Draper, C.,
Akella, S., Buchard, V., Conaty, A., da Silva, A. M., Gu, W., Kim, G.-K., Koster, R.,
Lucchesi, R., Merkova, D., Nielsen, J. E., Partyka, G., Pawson, S., Putman, W.,
Rienecker, M., Schubert, S. D., Sienkiewicz, M., and Zhao, B.: The Modern-Era Retrospective Analysis for Research and
Applications, Version 2 (MERRA-2), J. Climate, 30, 5419–5454, 2017.
Gisnås, K., Westermann, S., Schuler, T. V., Melvold, K., and Etzelmüller, B.:
Small-scale variation of snow in a regional permafrost model, The Cryosphere, 10, 1201–1215, https://doi.org/10.5194/tc-10-1201-2016, 2016.
Grosse, G., Harden, J., Turetsky, M., McGuire, A. D., Camill, P., Tarnocai,
C., Frolking, S., Schuur, E. A. G., Jorgenson, T., Marchenko, S.,
Romanovsky, V., Wickland, K. P., French, N., Waldrop, M., Bourgeau-Chavez,
L., and Striegl, R. G.: Vulnerability of high-latitude soil organic carbon
in North America to disturbance, J. Geophys. Res.-Biogeo., 116, G00K06, 2011.
Grünewald, T., Bühler, Y., and Lehning, M.: Elevation dependency of
mountain snow depth, The Cryosphere, 8, 2381–2394, https://doi.org/10.5194/tc-8-2381-2014, 2014.
Hall, D. K. and Riggs, G. A.: MODIS/Terra Snow Cover 8-Day L3 Global 500 m
Grid, Version 6, NASA National Snow and Ice Data
Center Distributed Active Archive Center, Boulder, Colorado, USA, https://doi.org/10.5067/MODIS/MOD10A2.006, 2016.
Henn, B., Newman, A. J., Livneh, B., Daly, C., and Lundquist, J. D.: An
assessment of differences in gridded precipitation datasets in complex
terrain, J. Hydrol., 556, 1205–1219,
https://doi.org/10.1016/j.jhydrol.2017.03.008, 2018.
Hossain, M. F., Chen, W., and Zhang, Y.: Bulk density of mineral and organic
soils in the Canada's arctic and sub-arctic, Information Processing in
Agriculture, 2, 183–190, 2015.
Hugelius, G., Strauss, J., Zubrzycki, S., Harden, J. W., Schuur, E. A. G., Ping, C.-L.,
Schirrmeister, L., Grosse, G., Michaelson, G. J., Koven, C. D., O'Donnell, J. A.,
Elberling, B., Mishra, U., Camill, P., Yu, Z., Palmtag, J., and Kuhry, P.: Estimated
stocks of circumpolar permafrost carbon with quantified uncertainty ranges and
identified data gaps, Biogeosciences, 11, 6573–6593, https://doi.org/10.5194/bg-11-6573-2014, 2014.
IPCC: Climate Change 2013: The Physical Science Basis, Cambridge
University Press, Cambridge, United Kingdom and New York, NY, USA, 1535 pp., https://doi.org/10.1017/CBO9781107415324, 2013.
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.
Jin, S. M., Yang, L. M., Danielson, P., Homer, C., Fry, J., and Xian, G.: A
comprehensive change detection method for updating the National Land Cover
Database to circa 2011, Remote Sens. Environ., 132, 159–175, 2013.
Kelly, R. E., Chang, A. T., Tsang, L., and Foster, J. L.: A prototype AMSR-E
global snow area and snow depth algorithm, IEEE T. Geosci. Remote, 41, 230–242, https://doi.org/10.1109/TGRS.2003.809118, 2003.
Kim, Y., Kimball, J. S., Robinson, D. A., and Derksen, C.: New satellite
climate data records indicate strong coupling between recent frozen season
changes and snow cover over high northern latitudes, Environ. Res. Lett.,
10, 084004, https://doi.org/10.1088/1748-9326/10/8/084004, 2015.
King, J., Derksen, C., Toose, P., Langlois, A., Larsen, C., Lemmetyinen, J.,
Marsh, P., Montpetit, B., Roy, A., Rutter, N., and Sturm, M.: The influence
of snow microstructure on dual-frequency radar measurements in a tundra
environment, Remote Sens. Environ., 215, 242–254,
https://doi.org/10.1016/j.rse.2018.05.028, 2018.
Kirchner, P. B., Bales, R. C., Molotch, N. P., Flanagan, J., and Guo, Q.: LiDAR measurement
of seasonal snow accumulation along an elevation gradient in the southern
Sierra Nevada, California, Hydrol. Earth Syst. Sci., 18, 4261–4275, https://doi.org/10.5194/hess-18-4261-2014, 2014.
Kittler, F., Heimann, M., Kolle, O., Zimov, N., Zimov, S., and Göckede,
M.: Long-Term Drainage Reduces CO2 Uptake and CH4 Emissions in a
Siberian Permafrost Ecosystem: Drainage impact on Arctic carbon cycle,
Global Biogeochem. Cy., 31, 1704–1717, https://doi.org/10.1002/2017GB005774,
2017.
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, 2013.
Kwok, R. and Markus, T.: Potential basin-scale estimates of Arctic snow
depth with sea ice freeboards from CryoSat-2 and ICESat-2: An exploratory
analysis, Adv. Space Res., 62, 1243–1250,
https://doi.org/10.1016/j.asr.2017.09.007, 2018.
Langlois, A., Johnson, C.-A., Montpetit, B., Royer, A., Blukacz-Richards, E.
A., Neave, E., Dolant, C., Roy, A., Arhonditsis, G., Kim, D.-K., Kaluskar,
S., and Brucker, L.: Detection of rain-on-snow (ROS) events and ice layer
formation using passive microwave radiometry: A context for Peary caribou
habitat in the Canadian Arctic, Remote Sens. Environ., 189, 84–95,
https://doi.org/10.1016/j.rse.2016.11.006, 2017.
Lawrence, D. M. and Slater, A. G.: Incorporating organic soil into a global
climate model, Clim. Dynam., 30, 145–160, 2008.
Lawrence, D. M. and Slater, A. G.: The contribution of snow condition trends
to future ground climate, Clim. Dynam., 34, 969–981, 2010.
Lawrence, D. M., Koven, C. D., Swenson, S. C., Riley, W. J., and Slater, A.
G.: Permafrost thaw and resulting soil moisture changes regulate projected
high-latitude CO 2 and CH 4 emissions, Environ. Res. Lett.,
10, 094011, https://doi.org/10.1088/1748-9326/10/9/094011, 2015.
Letts, M. G., Roulet, N. T., Comer, N. T., Skarupa, M. R., and Verseghy, D.
L.: Parametrization of peatland hydraulic properties for the Canadian land
surface scheme, Atmosphere-Ocean, 38, 141–160,
https://doi.org/10.1080/07055900.2000.9649643, 2000.
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, 312–319, 2016.
Liston, G. E. and Sturm, M.: Winter Precipitation Patterns in Arctic Alaska
Determined from a Blowing-Snow Model and Snow-Depth Observations, J.
Hydrometeorol., 3, 646–659,
https://doi.org/10.1175/1525-7541(2002)003<0646:WPPIAA>2.0.CO;2, 2002.
Liu, S., Wei, Y., Post, W. M., Cook, R. B., Schaefer, K., and Thornton, M. M.:
The Unified North American Soil Map and its implication on the soil organic carbon
stock in North America, Biogeosciences, 10, 2915–2930, https://doi.org/10.5194/bg-10-2915-2013, 2013.
Mironov, V. L., De Roo, R. D., and Savin, I. V.: Temperature-Dependable
Microwave Dielectric Model for an Arctic Soil, IEEE T.
Geosci. Remote, 48, 2544–2556,
https://doi.org/10.1109/TGRS.2010.2040034, 2010.
Mishra, U., Jastrow, J. D., Matamala, R., Hugelius, G., Koven, C. D.,
Harden, J. W., Ping, C. L., Michaelson, G. J., Fan, Z., Miller, R. M.,
McGuire, A. D., Tarnocai, C., Kuhry, P., Riley, W. J., Schaefer, K., Schuur,
E. A. G., Jorgenson, M. T., and Hinzman, L. D.: Empirical estimates to
reduce modeling uncertainties of soil organic carbon in permafrost regions:
a review of recent progress and remaining challenges, Environ. Res. Lett., 8, 035020,
2013.
Mishra, U., Drewniak, B., Jastrow, J. D., Matamala, R. M., and Vitharana, U. W. A.:
Spatial representation of organic carbon and active-layer thickness of high
latitude soils in CMIP5 earth system models, Geoderma, 300, 55–63, 2016.
Moghaddam, M., Saatchi, S., and Cuenca, R. H.: Estimating subcanopy soil
moisture with radar, J. Geophys. Res.-Atmos., 105,
14899–14911, https://doi.org/10.1029/2000JD900058, 2000.
Moghaddam, M., Entekhabi, D., Goykhman, Y., Li, K., Liu, M., Mahajan, A.,
Nayyar, A., Shuman, D., and Teneketzis, D.: A Wireless Soil Moisture Smart
Sensor Web Using Physics-Based Optimal Control: Concept and Initial
Demonstrations, IEEE J. Sel. Top. Appl., 3, 522–535,
https://doi.org/10.1109/JSTARS.2010.2052918, 2010.
Moreira, A., Krieger, G., Hajnsek, I., Papathanassiou, K., Younis, M.,
Lopez-Dekker, P., Huber, S., Villano, M., Pardini, M., Eineder, M., De Zan,
F., and Parizzi, A.: Tandem-L: A Highly Innovative Bistatic SAR Mission for
Global Observation of Dynamic Processes on the Earth's Surface, IEEE
Geosci. Remote Sens. Mag., 3, 8–23,
https://doi.org/10.1109/MGRS.2015.2437353, 2015.
Morse, P. D., Burn, C. R., and Kokelj, S. V.: Influence of snow on
near-surface ground temperatures in upland and alluvial environments of the
outer Mackenzie Delta, Northwest Territories, edited by:
Allard, M., Can. J. Earth Sci., 49, 895–913,
https://doi.org/10.1139/e2012-012, 2012.
Naeimi, V., Paulik, C., Bartsch, A., Wagner, W., Kidd, R., Park, S.-E.,
Elger, K., and Boike, J.: ASCAT Surface State Flag (SSF): Extracting
Information on Surface Freeze/Thaw Conditions From Backscatter Data Using an
Empirical Threshold-Analysis Algorithm, IEEE T. Geosci.
Remote, 50, 2566–2582, https://doi.org/10.1109/TGRS.2011.2177667, 2012.
Nicolsky, D. J., Romanovsky, V. E., Alexeev, V. A., and Lawrence, D. M.:
Improved modeling of permafrost dynamics in a GCM land-surface scheme,
Geophys. Res. Lett., 34, L08501, https://doi.org/10.1029/2007GL029525, 2007.
Oechel, W. C., Vourlitis, G., and Hastings, S. J.: Cold season CO2
emission from arctic soils, Global Biogeochem. Cy., 11, 163–172, 1997.
Outcalt, S. I., Nelson, F. E., and Hinkel, K. M.: The zero-curtain effect:
Heat and mass transfer across an isothermal region in freezing soil, Water
Resour. Res., 26, 1509–1516, https://doi.org/10.1029/WR026i007p01509, 1990.
Painter, T. H., Berisford, D. F., Boardman, J. W., Bormann, K. J., Deems, J.
S., Gehrke, F., Hedrick, A., Joyce, M., Laidlaw, R., Marks, D., Mattmann,
C., McGurk, B., Ramirez, P., Richardson, M., Skiles, S. M., Seidel, F. C.,
and Winstral, A.: The Airborne Snow Observatory: Fusion of scanning lidar,
imaging spectrometer, and physically-based modeling for mapping snow water
equivalent and snow albedo, Remote Sens. Environ., 184, 139–152,
https://doi.org/10.1016/j.rse.2016.06.018, 2016.
Paquin, J.-P. and Sushama, L.: On the Arctic near-surface permafrost and
climate sensitivities to soil and snow model formulations in climate models,
Clim. Dynam., 44, 203–228, https://doi.org/10.1007/s00382-014-2185-6, 2015.
Parajka, J. and Blöschl, G.: Spatio-temporal combination of MODIS images
– potential for snow cover mapping: SPATIO-TEMPORAL COMBINATION OF MODIS
IMAGES, Water Resour. Res., 44, W03406, https://doi.org/10.1029/2007WR006204, 2008.
Parajka, J., Pepe, M., Rampini, A., Rossi, S., and Blöschl, G.: A
regional snow-line method for estimating snow cover from MODIS during cloud
cover, J. Hydrol., 381, 203–212,
https://doi.org/10.1016/j.jhydrol.2009.11.042, 2010.
Parazoo, N. C., Koven, C. D., Lawrence, D. M., Romanovsky, V., and Miller, C. E.:
Detecting the permafrost carbon feedback: talik formation and increased cold-season
respiration as precursors to sink-to-source transitions, The Cryosphere, 12, 123–144, https://doi.org/10.5194/tc-12-123-2018, 2018.
Park, C.-H., Behrendt, A., LeDrew, E., and Wulfmeyer, V.: New Approach for
Calculating the Effective Dielectric Constant of the Moist Soil for
Microwaves, Remote Sens., 9, 732, https://doi.org/10.3390/rs9070732, 2017.
Pastick, N. J., Jorgenson, M. T., Wylie, B. K., Nield, S. J., Johnson, K.
D., and Finley, A. O.: Distribution of near-surface permafrost in Alaska:
Estimates of present and future conditions, Remote Sens. Environ.,
168, 301–315, 2015.
Qian, B., Gregorich, E. G., Gameda, S., Hopkins, D. W., and Wang, X. L.:
Observed soil temperature trends associated with climate change in Canada,
J. Geophys. Res., 116, D02106, https://doi.org/10.1029/2010JD015012, 2011.
Rawlins, M. A., Nicolsky, D. J., McDonald, K. C., and Romanovsky, V. E.:
Simulating soil freeze/thaw dynamics with an improved pan-Arctic water
balance model, J. Adv. Model. Earth Sy., 5, 659–675,
2013.
Rautiainen, K., Parkkinen, T., Lemmetyinen, J., Schwank, M., Wiesmann, A.,
Ikonen, J., Derksen, C., Davydov, S., Davydova, A., Boike, J., Langer, M.,
Drusch, M., and Pulliainen, J.: SMOS prototype algorithm for detecting autumn
soil freezing, Remote Sens. Environ., 180, 346–360,
https://doi.org/10.1016/j.rse.2016.01.012, 2016.
Reichle, R. H., De Lannoy, G. J. M., Liu, Q., Ardizzone, J. V., Colliander, A., Conaty, A.,
Crow, W., Jackson, T. J., Jones, L. A., Kimball, J. S., Koster, R. D., Mahanama, S. P.,
Smith, E. B., Berg, A., Bircher, S., Bosch, D., Caldwell, T. G., Cosh, M.,
González-Zamora, Á., Holifield Collins, C. D., Jensen, K. H., Livingston, S.,
Lopez-Baeza, E., Martínez-Fernández, J., McNairn, H., Moghaddam, M., Pacheco, A.,
Pellarin, T., Prueger, J., Rowlandson, T., Seyfried, M., Starks, P., Su, Z.,
Thibeault, M., van der Velde, R., Walker, J., Wu, X., and Zeng, Y.: Assessment of the SMAP Level-4 Surface and Root-Zone
Soil Moisture Product Using In Situ Measurements, J.
Hydrometeorol., 18, 2621–2645, 2017.
Romanovsky, V. E. and Osterkamp, T. E.: Effects of unfrozen water on heat
and mass transport processes in the active layer and permafrost, Permafrost
Periglac., 11, 219–239, 2000.
Rosen, P., Hensley, S., Shaffer, S., Edelstein, W., Kim, Y., Kumar, R.,
Misra, T., Bhan, R., and Sagi, R.: The NASA-ISRO SAR (NISAR) mission
dual-band radar instrument preliminary design, in: 2017 IEEE International
Geoscience and Remote Sensing Symposium (IGARSS), 3832–3835, IEEE, Fort
Worth, TX, 2017.
Sadeghi, M., Tabatabaeenejad, A., Tuller, M., Moghaddam, M., and Jones, S.:
Advancing NASA's AirMOSS P-Band Radar Root Zone Soil Moisture Retrieval
Algorithm via Incorporation of Richards' Equation, Remote Sens., 9, 17,
https://doi.org/10.3390/rs9010017, 2016.
Schaefer, K. and Jafarov, E.: A parameterization of respiration in frozen
soils based on substrate availability, Biogeosciences, 13, 1991–2001, https://doi.org/10.5194/bg-13-1991-2016, 2016.
Schaefer, G. L. and Paetzold, R. F.: SNOTEL (SNOwpack TELemetry) and SCAN (Soil
Climate Analysis Network) presented at the Automated Weather Station (AWS)
workshop, 6–10 March, Lincoln, NE, 2000.
Schuur, E. A. G., McGuire, A. D., Schadel, C., Grosse, G., Harden, J. W.,
Hayes, D. J., Hugelius, G., Koven, C. D., Kuhry, P., Lawrence, D. M.,
Natali, S. M., Olefeldt, D., Romanovsky, V. E., Schaefer, K., Turetsky, M.
R., Treat, C. C., and Vonk, J. E.: Climate change and the permafrost carbon
feedback, Nature, 520, 171–179, 2015.
Slater, A. G. and Lawrence, D. M.: Diagnosing Present and Future Permafrost
from Climate Models, J. Climate, 26, 5608–5623, 2013.
Smith, S. L., Riseborough, D. W., Bonnaventure, P. P., and Duchesne, C.: An
ecoregional assessment of freezing season air and ground surface temperature
in the Mackenzie Valley corridor, NWT, Canada, Cold Reg. Sci.
Technol., 125, 152–161, https://doi.org/10.1016/j.coldregions.2016.02.007, 2016.
Sturm, M., Taras, B., Liston, G. E., Derksen, C., Jonas, T., and Lea, J.:
Estimating Snow Water Equivalent Using Snow Depth Data and Climate Classes,
J. Hydrometeorol., 11, 1380–1394, 2010.
Tabatabaeenejad, A., Burgin, M., Duan, X. Y., and Moghaddam, M.: P-Band
Radar Retrieval of Subsurface Soil Moisture Profile as a Second-Order
Polynomial: First AirMOSS Results, IEEE T. Geosci. Remote, 53, 645–658, 2015.
Takala, M., Luojus, K., Pulliainen, J., Derksen, C., Lemmetyinen, J.,
Kärnä, J.-P., Koskinen, J., and Bojkov, B.: Estimating northern
hemisphere snow water equivalent for climate research through assimilation
of space-borne radiometer data and ground-based measurements, Remote Sens. Environ., 115, 3517–3529, https://doi.org/10.1016/j.rse.2011.08.014, 2011.
Thornton, P. E., Running, S. W., and White, M. A.: Generating surfaces of
daily meteorological variables over large regions of complex terrain,
J. Hydrol., 190, 214–251,
https://doi.org/10.1016/S0022-1694(96)03128-9, 1997.
Throop, J., Lewkowicz, A. G., and Smith, S. L.: Climate and ground
temperature relations at sites across the continuous and discontinuous
permafrost zones, northern Canada, Can. J. Earth Sci.,
49, 865–876, https://doi.org/10.1139/e11-075, 2012.
U.S. Geological Survey: Alaska 2 Arc-second Digital Elevation Models
(DEMs) – USGS National Map 3DEP Downloadable Data Collection, U.S.
Geological Survey, 2017.
Walvoord, M. A. and Kurylyk, B. L.: Hydrologic Impacts of Thawing
Permafrost-A Review, Vadose Zone J., 15, vzj2016.01.0010, 2016.
Wan, Z. S. H. and Hulley, G.: MOD11A2 MODIS/Terra Land Surface
Temperature/Emissivity 8-Day L3 Global 1 km SIN Grid V006, NASA EOSDIS Land
Processes DAAC, https://doi.org/10.5067/MODIS/MOD11A2.006, 2015.
Westermann, S., Peter, M., Langer, M., Schwamborn, G., Schirrmeister, L.,
Etzelmüller, B., and Boike, J.: Transient modeling of the ground thermal
conditions using satellite data in the Lena River delta, Siberia, The Cryosphere, 11, 1441–1463, https://doi.org/10.5194/tc-11-1441-2017, 2017.
Woo, M. K.: Permafrost hydrology, Springer-Verlag, Heidelberg, Germany, 575
pp., 2012.
Ye, H., Yang, D., and Robinson, D.: Winter rain on snow and its association
with air temperature in northern Eurasia, Hydrol. Process., 22,
2728–2736, https://doi.org/10.1002/hyp.7094, 2008.
Yi, Y., Kimball, J. S., Rawlins, M. A., Moghaddam, M., and Euskirchen, E. S.:
The role of snow cover affecting boreal-arctic soil freeze–thaw and
carbon dynamics, Biogeosciences, 12, 5811–5829, https://doi.org/10.5194/bg-12-5811-2015, 2015.
Yi, Y., Kimball, J. S., Chen, R. H., Moghaddam, M., Reichle, R. H., Mishra, U., Zona, D.,
and Oechel, W. C.: Characterizing permafrost active layer dynamics and
sensitivity to landscape spatial heterogeneity in Alaska, The Cryosphere, 12, 145–161, https://doi.org/10.5194/tc-12-145-2018, 2018.
Yoshikawa, K. and Hinzman, L. D.: Shrinking thermokarst ponds and
groundwater dynamics in discontinuous permafrost near council, Alaska,
Permafrost Periglac., 14, 151–160, https://doi.org/10.1002/ppp.451,
2003.
Yueh, S. H., Dinardo, S. J., Akgiray, A., West, R., Cline, D. W., and Elder,
K.: Airborne Ku-Band Polarimetric Radar Remote Sensing of Terrestrial Snow
Cover, IEEE T. Geosci. Remote, 47,
3347–3364, https://doi.org/10.1109/TGRS.2009.2022945, 2009.
Zhang, T. J.: Influence of the seasonal snow cover on the ground thermal
regime: An overview, Rev. Geophys., 43, RG4002, https://doi.org/10.1029/2004RG000157, 2005.
Zona, D., Gioli, B., Commane, R., Lindaas, J., Wofsy, S. C., Miller, C. E.,
Dinardo, S. J., Dengel, S., Sweeney, C., Karion, A., Chang, R. Y.-W.,
Henderson, J. M., Murphy, P. C., Goodrich, J. P., Moreaux, V., Liljedahl,
A., Watts, J. D., Kimball, J. S., Lipson, D. A., and Oechel, W. C.: Cold
season emissions dominate the Arctic tundra methane budget, P.
Natl. Acad. Sci. USA, 113, 40–45,
https://doi.org/10.1073/pnas.1516017113, 2016.
Short summary
To better understand active-layer freezing process and its climate sensitivity, we developed a new 1 km snow data set for permafrost modeling and used the model simulations with multiple new in situ and P-band radar data sets to characterize the soil freeze onset and duration of zero curtain in Arctic Alaska. Results show that zero curtains of upper soils are primarily affected by early snow cover accumulation, while zero curtains of deeper soils are more closely related to maximum thaw depth.
To better understand active-layer freezing process and its climate sensitivity, we developed a...
