Data description paper
20 Nov 2020
Data description paper
| 20 Nov 2020
High-resolution mapping of circum-Antarctic landfast sea ice distribution, 2000–2018
Alexander D. Fraser et al.
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The Cryosphere, 16, 2325–2353, https://doi.org/10.5194/tc-16-2325-2022, https://doi.org/10.5194/tc-16-2325-2022, 2022
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The marginal ice zone is the region where ocean waves interact with sea ice. Although this important region influences many sea ice, ocean and biological processes, it has been difficult to accurately measure on a large scale from satellite instruments. We present new techniques for measuring wave attenuation using the NASA ICESat-2 laser altimeter. By measuring how waves attenuate within the sea ice, we show that the marginal ice zone may be far wider than previously realised.
Tian R. Tian, Alexander D. Fraser, Noriaki Kimura, Chen Zhao, and Petra Heil
The Cryosphere, 16, 1299–1314, https://doi.org/10.5194/tc-16-1299-2022, https://doi.org/10.5194/tc-16-1299-2022, 2022
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This study presents a comprehensive validation of a satellite observational sea ice motion product in Antarctica by using drifting buoys. Two problems existing in this sea ice motion product have been noticed. After rectifying problems, we use it to investigate the impacts of satellite observational configuration and timescale on Antarctic sea ice kinematics and suggest the future improvement of satellite missions specifically designed for retrieval of sea ice motion.
Jessica Cartwright, Alexander D. Fraser, and Richard Porter-Smith
Earth Syst. Sci. Data, 14, 479–490, https://doi.org/10.5194/essd-14-479-2022, https://doi.org/10.5194/essd-14-479-2022, 2022
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Due to the scale and remote nature of the polar regions, it is essential to use satellite remote sensing to monitor and understand them and their dynamics. Here we present data from the Advanced Scatterometer (ASCAT), processed in a manner proven for use in cryosphere studies. The data have been processed on three timescales (5 d, 2 d and 1 d) in order to optimise temporal resolution as each of the three MetOp satellites is launched.
Alexander D. Fraser, Robert A. Massom, Mark S. Handcock, Phillip Reid, Kay I. Ohshima, Marilyn N. Raphael, Jessica Cartwright, Andrew R. Klekociuk, Zhaohui Wang, and Richard Porter-Smith
The Cryosphere, 15, 5061–5077, https://doi.org/10.5194/tc-15-5061-2021, https://doi.org/10.5194/tc-15-5061-2021, 2021
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Landfast ice is sea ice that remains stationary by attaching to Antarctica's coastline and grounded icebergs. Although a variable feature, landfast ice exerts influence on key coastal processes involving pack ice, the ice sheet, ocean, and atmosphere and is of ecological importance. We present a first analysis of change in landfast ice over an 18-year period and quantify trends (−0.19 ± 0.18 % yr−1). This analysis forms a reference of landfast-ice extent and variability for use in other studies.
Camilla K. Crockart, Tessa R. Vance, Alexander D. Fraser, Nerilie J. Abram, Alison S. Criscitiello, Mark A. J. Curran, Vincent Favier, Ailie J. E. Gallant, Christoph Kittel, Helle A. Kjær, Andrew R. Klekociuk, Lenneke M. Jong, Andrew D. Moy, Christopher T. Plummer, Paul T. Vallelonga, Jonathan Wille, and Lingwei Zhang
Clim. Past, 17, 1795–1818, https://doi.org/10.5194/cp-17-1795-2021, https://doi.org/10.5194/cp-17-1795-2021, 2021
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We present preliminary analyses of the annual sea salt concentrations and snowfall accumulation in a new East Antarctic ice core, Mount Brown South. We compare this record with an updated Law Dome (Dome Summit South site) ice core record over the period 1975–2016. The Mount Brown South record preserves a stronger and inverse signal for the El Niño–Southern Oscillation (in austral winter and spring) compared to the Law Dome record (in summer).
Richard Porter-Smith, John McKinlay, Alexander D. Fraser, and Robert A. Massom
Earth Syst. Sci. Data, 13, 3103–3114, https://doi.org/10.5194/essd-13-3103-2021, https://doi.org/10.5194/essd-13-3103-2021, 2021
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This study quantifies the characteristic complexity
signaturesaround the Antarctic outer coastal margin, giving a multiscale estimate of the magnitude and direction of undulation or complexity at each point location along the entire coastline. It has numerous applications for both geophysical and biological studies and will contribute to Antarctic research requiring quantitative information about this important interface.
Kazuya Kusahara, Daisuke Hirano, Masakazu Fujii, Alexander D. Fraser, and Takeshi Tamura
The Cryosphere, 15, 1697–1717, https://doi.org/10.5194/tc-15-1697-2021, https://doi.org/10.5194/tc-15-1697-2021, 2021
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We used an ocean–sea ice–ice shelf model with a 2–3 km horizontal resolution to investigate ocean–ice shelf/glacier interactions in Lützow-Holm Bay, East Antarctica. The numerical model reproduced the observed warm water intrusion along the deep trough in the bay. We examined in detail (1) water mass changes between the upper continental slope and shelf regions and (2) the fast-ice role in the ocean conditions and basal melting at the Shirase Glacier tongue.
Stefanie Arndt, Mario Hoppmann, Holger Schmithüsen, Alexander D. Fraser, and Marcel Nicolaus
The Cryosphere, 14, 2775–2793, https://doi.org/10.5194/tc-14-2775-2020, https://doi.org/10.5194/tc-14-2775-2020, 2020
Bruce L. Greaves, Andrew T. Davidson, Alexander D. Fraser, John P. McKinlay, Andrew Martin, Andrew McMinn, and Simon W. Wright
Biogeosciences, 17, 3815–3835, https://doi.org/10.5194/bg-17-3815-2020, https://doi.org/10.5194/bg-17-3815-2020, 2020
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We observed that variation in the Southern Annular Mode (SAM) over 11 years showed a relationship with the species composition of hard-shelled phytoplankton in the seasonal ice zone (SIZ) of the Southern Ocean. Phytoplankton in the SIZ are productive during the southern spring and summer when the area is ice-free, with production feeding most Antarctic life. The SAM is known to be increasing with climate change, and changes in phytoplankton in the SIZ may have implications for higher life forms.
Mana Inoue, Mark A. J. Curran, Andrew D. Moy, Tas D. van Ommen, Alexander D. Fraser, Helen E. Phillips, and Ian D. Goodwin
Clim. Past, 13, 437–453, https://doi.org/10.5194/cp-13-437-2017, https://doi.org/10.5194/cp-13-437-2017, 2017
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A 120 m ice core from Mill Island, East Antarctica, was studied its chemical components. The Mill Island ice core contains 97 years of climate record (1913–2009) and has a mean snow accumulation of 1.35 m yr−1 (ice equivalent). Trace ion concentrations were generally higher than other Antarctic ice core sites. Nearby sea ice concentration was found to influence the annual mean sea salt record. The Mill Island ice core records are unexpectedly complex, with strong modulation of the trace chemistry.
J. L. Lieser, M. A. J. Curran, A. R. Bowie, A. T. Davidson, S. J. Doust, A. D. Fraser, B. K. Galton-Fenzi, R. A. Massom, K. M. Meiners, J. Melbourne-Thomas, P. A. Reid, P. G. Strutton, T. R. Vance, M. Vancoppenolle, K. J. Westwood, and S. W. Wright
The Cryosphere Discuss., https://doi.org/10.5194/tcd-9-6187-2015, https://doi.org/10.5194/tcd-9-6187-2015, 2015
Revised manuscript has not been submitted
Jill Brouwer, Alexander D. Fraser, Damian J. Murphy, Pat Wongpan, Alberto Alberello, Alison Kohout, Christopher Horvat, Simon Wotherspoon, Robert A. Massom, Jessica Cartwright, and Guy D. Williams
The Cryosphere, 16, 2325–2353, https://doi.org/10.5194/tc-16-2325-2022, https://doi.org/10.5194/tc-16-2325-2022, 2022
Short summary
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The marginal ice zone is the region where ocean waves interact with sea ice. Although this important region influences many sea ice, ocean and biological processes, it has been difficult to accurately measure on a large scale from satellite instruments. We present new techniques for measuring wave attenuation using the NASA ICESat-2 laser altimeter. By measuring how waves attenuate within the sea ice, we show that the marginal ice zone may be far wider than previously realised.
Tian R. Tian, Alexander D. Fraser, Noriaki Kimura, Chen Zhao, and Petra Heil
The Cryosphere, 16, 1299–1314, https://doi.org/10.5194/tc-16-1299-2022, https://doi.org/10.5194/tc-16-1299-2022, 2022
Short summary
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This study presents a comprehensive validation of a satellite observational sea ice motion product in Antarctica by using drifting buoys. Two problems existing in this sea ice motion product have been noticed. After rectifying problems, we use it to investigate the impacts of satellite observational configuration and timescale on Antarctic sea ice kinematics and suggest the future improvement of satellite missions specifically designed for retrieval of sea ice motion.
Jessica Cartwright, Alexander D. Fraser, and Richard Porter-Smith
Earth Syst. Sci. Data, 14, 479–490, https://doi.org/10.5194/essd-14-479-2022, https://doi.org/10.5194/essd-14-479-2022, 2022
Short summary
Short summary
Due to the scale and remote nature of the polar regions, it is essential to use satellite remote sensing to monitor and understand them and their dynamics. Here we present data from the Advanced Scatterometer (ASCAT), processed in a manner proven for use in cryosphere studies. The data have been processed on three timescales (5 d, 2 d and 1 d) in order to optimise temporal resolution as each of the three MetOp satellites is launched.
Alexander D. Fraser, Robert A. Massom, Mark S. Handcock, Phillip Reid, Kay I. Ohshima, Marilyn N. Raphael, Jessica Cartwright, Andrew R. Klekociuk, Zhaohui Wang, and Richard Porter-Smith
The Cryosphere, 15, 5061–5077, https://doi.org/10.5194/tc-15-5061-2021, https://doi.org/10.5194/tc-15-5061-2021, 2021
Short summary
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Landfast ice is sea ice that remains stationary by attaching to Antarctica's coastline and grounded icebergs. Although a variable feature, landfast ice exerts influence on key coastal processes involving pack ice, the ice sheet, ocean, and atmosphere and is of ecological importance. We present a first analysis of change in landfast ice over an 18-year period and quantify trends (−0.19 ± 0.18 % yr−1). This analysis forms a reference of landfast-ice extent and variability for use in other studies.
Camilla K. Crockart, Tessa R. Vance, Alexander D. Fraser, Nerilie J. Abram, Alison S. Criscitiello, Mark A. J. Curran, Vincent Favier, Ailie J. E. Gallant, Christoph Kittel, Helle A. Kjær, Andrew R. Klekociuk, Lenneke M. Jong, Andrew D. Moy, Christopher T. Plummer, Paul T. Vallelonga, Jonathan Wille, and Lingwei Zhang
Clim. Past, 17, 1795–1818, https://doi.org/10.5194/cp-17-1795-2021, https://doi.org/10.5194/cp-17-1795-2021, 2021
Short summary
Short summary
We present preliminary analyses of the annual sea salt concentrations and snowfall accumulation in a new East Antarctic ice core, Mount Brown South. We compare this record with an updated Law Dome (Dome Summit South site) ice core record over the period 1975–2016. The Mount Brown South record preserves a stronger and inverse signal for the El Niño–Southern Oscillation (in austral winter and spring) compared to the Law Dome record (in summer).
Thomas Krumpen, Luisa von Albedyll, Helge F. Goessling, Stefan Hendricks, Bennet Juhls, Gunnar Spreen, Sascha Willmes, H. Jakob Belter, Klaus Dethloff, Christian Haas, Lars Kaleschke, Christian Katlein, Xiangshan Tian-Kunze, Robert Ricker, Philip Rostosky, Janna Rückert, Suman Singha, and Julia Sokolova
The Cryosphere, 15, 3897–3920, https://doi.org/10.5194/tc-15-3897-2021, https://doi.org/10.5194/tc-15-3897-2021, 2021
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We use satellite data records collected along the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) drift to categorize ice conditions that shaped and characterized the floe and surroundings during the expedition. A comparison with previous years is made whenever possible. The aim of this analysis is to provide a basis and reference for subsequent research in the six main research areas of atmosphere, ocean, sea ice, biogeochemistry, remote sensing and ecology.
Richard Porter-Smith, John McKinlay, Alexander D. Fraser, and Robert A. Massom
Earth Syst. Sci. Data, 13, 3103–3114, https://doi.org/10.5194/essd-13-3103-2021, https://doi.org/10.5194/essd-13-3103-2021, 2021
Short summary
Short summary
This study quantifies the characteristic complexity
signaturesaround the Antarctic outer coastal margin, giving a multiscale estimate of the magnitude and direction of undulation or complexity at each point location along the entire coastline. It has numerous applications for both geophysical and biological studies and will contribute to Antarctic research requiring quantitative information about this important interface.
Kazuya Kusahara, Daisuke Hirano, Masakazu Fujii, Alexander D. Fraser, and Takeshi Tamura
The Cryosphere, 15, 1697–1717, https://doi.org/10.5194/tc-15-1697-2021, https://doi.org/10.5194/tc-15-1697-2021, 2021
Short summary
Short summary
We used an ocean–sea ice–ice shelf model with a 2–3 km horizontal resolution to investigate ocean–ice shelf/glacier interactions in Lützow-Holm Bay, East Antarctica. The numerical model reproduced the observed warm water intrusion along the deep trough in the bay. We examined in detail (1) water mass changes between the upper continental slope and shelf regions and (2) the fast-ice role in the ocean conditions and basal melting at the Shirase Glacier tongue.
Stefanie Arndt, Mario Hoppmann, Holger Schmithüsen, Alexander D. Fraser, and Marcel Nicolaus
The Cryosphere, 14, 2775–2793, https://doi.org/10.5194/tc-14-2775-2020, https://doi.org/10.5194/tc-14-2775-2020, 2020
Bruce L. Greaves, Andrew T. Davidson, Alexander D. Fraser, John P. McKinlay, Andrew Martin, Andrew McMinn, and Simon W. Wright
Biogeosciences, 17, 3815–3835, https://doi.org/10.5194/bg-17-3815-2020, https://doi.org/10.5194/bg-17-3815-2020, 2020
Short summary
Short summary
We observed that variation in the Southern Annular Mode (SAM) over 11 years showed a relationship with the species composition of hard-shelled phytoplankton in the seasonal ice zone (SIZ) of the Southern Ocean. Phytoplankton in the SIZ are productive during the southern spring and summer when the area is ice-free, with production feeding most Antarctic life. The SAM is known to be increasing with climate change, and changes in phytoplankton in the SIZ may have implications for higher life forms.
Jessica Cartwright, Christopher J. Banks, and Meric Srokosz
The Cryosphere, 14, 1909–1917, https://doi.org/10.5194/tc-14-1909-2020, https://doi.org/10.5194/tc-14-1909-2020, 2020
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This study uses reflected GPS signals to measure ice at the South Pole itself for the first time. These measurements are essential to understand the interaction of the ice with the Earth’s physical systems. Orbital constraints mean that satellites are usually unable to measure in the vicinity of the South Pole itself. This is overcome here by using data obtained by UK TechDemoSat-1. Data are processed to obtain the height of glacial ice across the Greenland and Antarctic ice sheets.
Daiki Nomura, Mats A. Granskog, Agneta Fransson, Melissa Chierici, Anna Silyakova, Kay I. Ohshima, Lana Cohen, Bruno Delille, Stephen R. Hudson, and Gerhard S. Dieckmann
Biogeosciences, 15, 3331–3343, https://doi.org/10.5194/bg-15-3331-2018, https://doi.org/10.5194/bg-15-3331-2018, 2018
Mana Inoue, Mark A. J. Curran, Andrew D. Moy, Tas D. van Ommen, Alexander D. Fraser, Helen E. Phillips, and Ian D. Goodwin
Clim. Past, 13, 437–453, https://doi.org/10.5194/cp-13-437-2017, https://doi.org/10.5194/cp-13-437-2017, 2017
Short summary
Short summary
A 120 m ice core from Mill Island, East Antarctica, was studied its chemical components. The Mill Island ice core contains 97 years of climate record (1913–2009) and has a mean snow accumulation of 1.35 m yr−1 (ice equivalent). Trace ion concentrations were generally higher than other Antarctic ice core sites. Nearby sea ice concentration was found to influence the annual mean sea salt record. The Mill Island ice core records are unexpectedly complex, with strong modulation of the trace chemistry.
Andreas Preußer, Günther Heinemann, Sascha Willmes, and Stephan Paul
The Cryosphere, 10, 3021–3042, https://doi.org/10.5194/tc-10-3021-2016, https://doi.org/10.5194/tc-10-3021-2016, 2016
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We present spatial and temporal characteristics of 17 Arctic polynya regions. By using an energy balance model, daily thin-ice thickness distributions are derived from TIR satellite and atmospheric reanalysis data. All polynyas combined yield an average ice production of about 1811 km3 per winter. Interestingly, we find distinct regional differences in calculated trends over the last 13 years. Finally, we set a special focus on the Laptev Sea region and its relation to the Transpolar Drift.
Oliver Gutjahr, Günther Heinemann, Andreas Preußer, Sascha Willmes, and Clemens Drüe
The Cryosphere, 10, 2999–3019, https://doi.org/10.5194/tc-10-2999-2016, https://doi.org/10.5194/tc-10-2999-2016, 2016
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We estimated the formation of new sea ice within polynyas in the Laptev Sea (Siberia) with the regional climate model COSMO-CLM at 5 km horizontal resolution. Fractional sea ice and the representation of thin ice is often neglected in atmospheric models. Our study demonstrates, however, that the way thin ice in polynyas is represented in the model considerably affects the amount of newly formed sea-ice and the air–ice–ocean heat flux. Both processes impact the Arctic sea-ice budget.
J. L. Lieser, M. A. J. Curran, A. R. Bowie, A. T. Davidson, S. J. Doust, A. D. Fraser, B. K. Galton-Fenzi, R. A. Massom, K. M. Meiners, J. Melbourne-Thomas, P. A. Reid, P. G. Strutton, T. R. Vance, M. Vancoppenolle, K. J. Westwood, and S. W. Wright
The Cryosphere Discuss., https://doi.org/10.5194/tcd-9-6187-2015, https://doi.org/10.5194/tcd-9-6187-2015, 2015
Revised manuscript has not been submitted
S. Paul, S. Willmes, and G. Heinemann
The Cryosphere, 9, 2027–2041, https://doi.org/10.5194/tc-9-2027-2015, https://doi.org/10.5194/tc-9-2027-2015, 2015
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We established a 13-year-long MODIS-derived thin-ice thickness data set from which we derived information about polynya dynamics in the southern Weddell Sea. In contrast to other studies, we do not focus on a single region but instead discuss polynya dynamics for the complete coastal area. The higher spatial resolution of MODIS compared to passive-microwave sensors enables us to resolve even very narrow coastal polynyas that would remain otherwise undetected.
A. Preußer, S. Willmes, G. Heinemann, and S. Paul
The Cryosphere, 9, 1063–1073, https://doi.org/10.5194/tc-9-1063-2015, https://doi.org/10.5194/tc-9-1063-2015, 2015
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The Storfjorden polynya (Svalbard) forms regularly under the influence of strong north-easterly winds. In this study, spatial and temporal characteristics for the period 2002/03-2013/14 were inferred from daily calculated thin-ice thickness distributions, based on MODIS ice surface temperatures and ERA-interim reanalysis.
With an estimated average ice production of 28.3km³/winter, this polynya system is of particular interest regarding its potential contribution to deep water formation.
S. Willmes, M. Nicolaus, and C. Haas
The Cryosphere, 8, 891–904, https://doi.org/10.5194/tc-8-891-2014, https://doi.org/10.5194/tc-8-891-2014, 2014
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Earth Syst. Sci. Data, 14, 781–794, https://doi.org/10.5194/essd-14-781-2022, https://doi.org/10.5194/essd-14-781-2022, 2022
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Earth Syst. Sci. Data, 14, 795–809, https://doi.org/10.5194/essd-14-795-2022, https://doi.org/10.5194/essd-14-795-2022, 2022
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Earth Syst. Sci. Data, 14, 619–636, https://doi.org/10.5194/essd-14-619-2022, https://doi.org/10.5194/essd-14-619-2022, 2022
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Earth Syst. Sci. Data, 13, 4711–4726, https://doi.org/10.5194/essd-13-4711-2021, https://doi.org/10.5194/essd-13-4711-2021, 2021
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Vincent Vionnet, Colleen Mortimer, Mike Brady, Louise Arnal, and Ross Brown
Earth Syst. Sci. Data, 13, 4603–4619, https://doi.org/10.5194/essd-13-4603-2021, https://doi.org/10.5194/essd-13-4603-2021, 2021
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Florent Domine, Georg Lackner, Denis Sarrazin, Mathilde Poirier, and Maria Belke-Brea
Earth Syst. Sci. Data, 13, 4331–4348, https://doi.org/10.5194/essd-13-4331-2021, https://doi.org/10.5194/essd-13-4331-2021, 2021
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Earth Syst. Sci. Data, 13, 3967–3978, https://doi.org/10.5194/essd-13-3967-2021, https://doi.org/10.5194/essd-13-3967-2021, 2021
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Climate change strongly impacts the Arctic, with clear signs of higher air temperature and more precipitation. A sustainable observation programme has been carried out in Lake Orajärvi in Sodankylä, Finland. The high-quality air–snow–ice–water temperature profiles have been measured every winter since 2009. The data can be used to investigate the lake ice surface heat balance and the role of snow in lake ice mass balance and parameterization of snow-to-ice transformation in snow/ice models.
Sher Muhammad and Amrit Thapa
Earth Syst. Sci. Data, 13, 767–776, https://doi.org/10.5194/essd-13-767-2021, https://doi.org/10.5194/essd-13-767-2021, 2021
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Snow is a dominant water resource in high-mountain Asia and crucial for mountain communities and downstream populations. The present MODIS snow products are significantly uncertain and not useful for observation and simulation of climate, hydrology, and other water-related studies. This study reduces uncertainty in the daily MODIS snow data and generates a MODIS Terra–Aqua combined product reducing uncertainties due to cloud cover, data gaps, and other errors caused by sensor limitations.
Henna-Reetta Hannula, Kirsikka Heinilä, Kristin Böttcher, Olli-Pekka Mattila, Miia Salminen, and Jouni Pulliainen
Earth Syst. Sci. Data, 12, 719–740, https://doi.org/10.5194/essd-12-719-2020, https://doi.org/10.5194/essd-12-719-2020, 2020
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We publish and describe a surface spectral reflectance data record of seasonal snow (dry, wet, shadowed), forest ground (lichen, moss) and forest canopy (spruce and pine, branches) constituting the main elements of the boreal landscape and collected at four scales. The data record describes the characteristics and variability of the satellite scene reflectance contributors in boreal landscape, thus enabling the development of improved optical satellite snow mapping methods for forested areas.
Sher Muhammad and Amrit Thapa
Earth Syst. Sci. Data, 12, 345–356, https://doi.org/10.5194/essd-12-345-2020, https://doi.org/10.5194/essd-12-345-2020, 2020
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Snow is the major water resource in high-mountain Asia; therefore, it is crucial to continuously monitor it. Currently, remote sensing, mainly MODIS, is used for snow monitoring. However, the available MODIS snow product is not useful for various applications without postprocessing and improvement. This study reduces uncertainty in the MODIS snow data. We found approximately 50% underestimation and overestimation of snow cover by MODIS Terra–Aqua products, which were improved in this study.
Tao Che, Xin Li, Shaomin Liu, Hongyi Li, Ziwei Xu, Junlei Tan, Yang Zhang, Zhiguo Ren, Lin Xiao, Jie Deng, Rui Jin, Mingguo Ma, Jian Wang, and Xiaofan Yang
Earth Syst. Sci. Data, 11, 1483–1499, https://doi.org/10.5194/essd-11-1483-2019, https://doi.org/10.5194/essd-11-1483-2019, 2019
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The paper presents a suite of datasets consisting of long-term hydrometeorological, snow cover and frozen ground data for investigating watershed science and functions from an integrated, distributed and multiscale observation network in the upper reaches of the Heihe River Basin in China. These data are expected to serve as a testing platform to provide accurate forcing data and validate and evaluate remote-sensing products and hydrological models in cold regions for a broader community.
Cécile B. Ménard, Richard Essery, Alan Barr, Paul Bartlett, Jeff Derry, Marie Dumont, Charles Fierz, Hyungjun Kim, Anna Kontu, Yves Lejeune, Danny Marks, Masashi Niwano, Mark Raleigh, Libo Wang, and Nander Wever
Earth Syst. Sci. Data, 11, 865–880, https://doi.org/10.5194/essd-11-865-2019, https://doi.org/10.5194/essd-11-865-2019, 2019
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This paper describes long-term meteorological and evaluation datasets from 10 reference sites for use in snow modelling. We demonstrate how data sharing is crucial to the identification of errors and how the publication of these datasets contributes to good practice, consistency, and reproducibility in geosciences. The ease of use, availability, and quality of the datasets will help model developers quantify and reduce model uncertainties and errors.
Xing Fang, John W. Pomeroy, Chris M. DeBeer, Phillip Harder, and Evan Siemens
Earth Syst. Sci. Data, 11, 455–471, https://doi.org/10.5194/essd-11-455-2019, https://doi.org/10.5194/essd-11-455-2019, 2019
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Meteorological, snow survey, streamflow, and groundwater data are presented from Marmot Creek Research Basin, a small alpine-montane forest headwater catchment in the Alberta Rockies. It was heavily instrumented, experimented upon, and operated by several federal government agencies between 1962 and 1986 and was re-established starting in 2004 by the University of Saskatchewan Centre for Hydrology. These long-term legacy data serve to advance our knowledge of hydrology of the Canadian Rockies.
Cited articles
Ackerman, S. A., Strabala, K. I., Menzel, W. P., Frey, R. A.,
Moeller, C. C., Gumley, L. E., Baum, B., Seemann, S. W., and Zhang,
H.: Discriminating clear-sky from cloud with MODIS, Algorithm Theoretical
Basis Document ATBD-MOD-06, NASA Goddard Space Flight Center, Greenbelt,
Maryland, 2006. a
Canny, J.: A Computational Approach to Edge Detection, IEEE T. Pattern Anal., 6, 679–698, 1986. a
Dammann, D. O., Eriksson, L. E. B., Mahoney, A. R., Eicken, H., and Meyer, F. J.: Mapping pan-Arctic landfast sea ice stability using Sentinel-1 interferometry, The Cryosphere, 13, 557–577, https://doi.org/10.5194/tc-13-557-2019, 2019. a
Fraser, A. D., Ohshima, K. I., Nihashi, S., Massom, R. A., Tamura,
T., Nakata, K., Williams, G. D., Carpentier, S., and Willmes, S.:
Landfast ice controls on sea-ice production in the Cape Darnley Polynya: A
case study, Remote Sens. Environ., 233, 111315,
https://doi.org/10.1016/j.rse.2019.111315, 2019. a, b
Fraser, A. D., Massom, R. A., Ohshima, K. I., Willmes, S., Kappes,
P., Cartwright, J., and Porter-Smith, R.: Circum-Antarctic landfast
sea-ice extent, 2000-2018, Australian Antarctic Data Centre,
https://doi.org/10.26179/5d267d1ceb60c, 2020. a, b
Giles, A. B., Massom, R. A., and Lytle, V. I.: Fast-ice distribution in
East Antarctica during 1997 and 1999 determined using RADARSAT data, J. Geophys. Res.-Oceans, 113, C02S14, https://doi.org/10.1029/2007JC004139, 2008. a, b, c
Haran, T. M., Bohlander, J., Scambos, T. A. Painter, T., and
Fahnestock, M. A.: MODIS Mosaic of Antarctica 2003–2004 (MOA2004) image
map, Digital media, https://doi.org/10.7265/N5ZK5DM5,
2005. a
Haran, T. M., Bohlander, J., Scambos, T. A., Painter, T., and
Fahnestock, M. A.: MODIS Mosaic of Antarctica 2008–2009 (MOA2009) image
map, Digital media, https://doi.org/10.7265/N5KP8037,
2014. a
Kim, M., Im, J., Han, H., Kim, J., Lee, S., Shin, M., and Kim,
H.-C.: Landfast sea ice monitoring using multisensor fusion in the
Antarctic, GIScience & Remote Sens., 52, 239–256, 2015. a
Kim, M., Han, H., Im, J., Lee, S., and Kim, H.-C.: Object-based
Landfast Sea Ice Detection Over West Antarctica Using Time Series of ALOS
PALSAR Data, Remote Sens. Environ., 242, 111782, https://doi.org/10.1016/j.rse.2020.111782, 2020. a, b, c, d
Kim, S., Saenz, B., Scanniello, J., Daly, K., and Ainley, D.: Local climatology
of fast ice in McMurdo Sound, Antarctica, Antarctic Science, 30, 125–142,
https://doi.org/10.1017/S0954102017000578, 2018. a, b
Labrousse, S., Fraser, A. D., Sumner, M., Tamura, T., Pinaud, D.,
Wienecke, B., Kirkwood, R., Ropert-Coudert, Y., Reisinger, R.,
Jonsen, I., Porter-Smith, R., Barbraud, C., Bost, C.-A., Ji, R.,
and Jenouvrier, S.: Dynamic fine-scale sea-icescape shapes adult emperor
penguin foraging habitat in East Antarctica, Geophys. Res. Lett.,
46, 11206–11218, 2019. a, b
Li, X., Ouyang, L., Hui, F., Cheng, X., Shokr, M., and Heil, P.: An
Improved Automated Method to Detect Landfast Ice Edge off Zhongshan Station
Using SAR Imagery, IEEE J. Sel. Top. Appl., 11, 4737–4746,
https://doi.org/10.1109/JSTARS.2018.2882602, 2018. a, b, c, d
Lubin, D. and Massom, R. A.: Polar Remote Sensing Volume I: Atmosphere and
Oceans, Praxis/Springer, Chichester/Berlin, 2006. a
Mahoney, A., Eicken, H., Gaylord, A. G., and Shapiro, L.: Alaska
landfast sea ice: Links with bathymetry and atmospheric circulation, J. Geophys. Res.-Oceans, 112, C02001, https://doi.org/10.1029/2006JC003559, 2007. a
Massom, R. A.: Recent iceberg calving events in the Ninnis Glacier region,
East Antarctica, Antarct. Sci., 15, 303–313, 2003. a
Massom, R. A., Pook, M. J., Comiso, J. C., Adams, N., Turner, J.,
Lachlan-Cope, T., and Gibson, T. T.: Precipitation over the Interior
East Antarctic Ice Sheet Related to Midlatitude Blocking-High Activity,
J. Climate, 17, 1914–1928, 2004. a
Massom, R. A., Giles, A. B., Fricker, H. A., Warner, R., Legrésy,
B., Hyland, G., Young, N., and Fraser, A. D.: Examining the
interaction between multi-year landfast sea ice and the Mertz Glacier Tongue,
East Antarctica, Another factor in ice sheet stability?, J.
Geophys. Res.-Oceans, 115, C12027, https://doi.org/10.1029/2009JC006083,
2010. a, b
Massom, R. A., Scambos, T. A., Bennetts, L. G., Reid, P., Squire,
V. A., and Stammerjohn, S. E.: Antarctic ice shelf disintegration
triggered by sea ice loss and ocean swell, Nature, 558, 383–389,
https://doi.org/10.1038/s41586-018-0212-1, 2018. a
Meredith, M., Sommerkorn, M., Cassotta, S., Derksen, C., Ekaykin, A.,
Hollowed, A., Kofinas, G., Mackintosh, A., Melbourne-Thomas, J.,
Muelbert, M. M. C., Ottersen, G., Pritchard, H., and Schuur,
E. A. G.: IPCC Special Report on the Ocean and Cryosphere in a Changing
Climate, chap. Polar Regions, Cambridge University Press,
Cambridge, 215 pp., 2019. a, b
Meyer, F. J., Mahoney, A., Eicken, H., Denny, C. L., Druckenmiller, H. C., and
Hendricks, S.: Mapping Arctic landfast ice extent using L-band synthetic
aperture radar interferometry, Remote Sens. Environ., 115,
3029–3043, https://doi.org/10.1016/j.rse.2011.06.006, 2011. a
Paul, S. and Huntemann, M.: Improved machine-learning based open-water/sea-ice/cloud discrimination over wintertime Antarctic sea ice using MODIS thermal-infrared imagery, The Cryosphere Discuss., https://doi.org/10.5194/tc-2020-159, in review, 2020. a
Porter-Smith, R., McKinlay, J., Fraser, A., and Massom, R.: Coastal complexity of the Antarctic continent, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-142, in review, 2019. a
Scambos, T., Haran, T., Fahnestock, M., Painter, T., and Bohlander,
J.: MODIS-based Mosaic of Antarctica (MOA) data sets: Continent-wide surface
morphology and snow grain size, Remote Sens. Environ., 111,
242–257, 2007. a
Sobel, I.: An Isotropic 3x3 Image Gradient Operator, Presentation at Stanford
A.I. Project 1968, 2014. a
Tamura, T., Ohshima, K. I., Markus, T., Cavalieri, D. J., Nihashi,
S., and Hirasawa, N.: Estimation of Thin Ice Thickness and Detection of
Fast Ice from SSM/I Data in the Antarctic Ocean, J. Atmos.
Ocean. Tech., 24, 1757–1772, https://doi.org/10.1175/JTECH2113.1, 2007. a
Tamura, T., Ohshima, K. I., Fraser, A. D., and Williams, G. D.: Sea
ice production variability in Antarctic coastal polynyas, J.
Geophys. Res.-Oceans, 121, 2967–2979,
https://doi.org/10.1002/2015JC011537, 2016. a
Turner, J. and Pendlebury, S. (Eds.): The International Antarctic Weather
Forecasting Handbook, British Antarctic Survey, Cambridge, UK, ISBN:
1855312212, 2004. a
Vaughan, D. G., Comiso, J. C., Allison, I., Carrasco, J., Kaser, G.,
Kwok, R., Mote, P., Murray, T., Paul, F., Ren, J., Rignot, E.,
Solomina, O., Steffen, K., and Zhang, T.: Climate Change 2013: The
Physical Science Basis. Contribution of Working Group I to the Fifth
Assessment Resport of the Intergovernmental Panel on Climate Change, chap.
Observations: Cryosphere, Cambridge University Press, Cambridge, 334 pp.,
2013. a, b
Willmes, S. and Heinemann, G.: Pan-Arctic lead detection from MODIS
thermal infrared imagery, Ann. Glaciol., 56, 29–37,
https://doi.org/10.3189/2015AoG69A615, 2015. a, b
World Meteorological Organization: WMO sea-ice nomenclature. Terminology,
codes and illustrated glossary, Tech. Rep. 259, Geneva Secretariat of the
World Meterological Organization, 1970. a
Short summary
Landfast ice, or
fast ice, is a form of sea ice which is mechanically fastened to stationary parts of the coast. Long-term and accurate knowledge of its extent around Antarctica is critical for understanding a number of important Antarctic coastal processes, yet no accurate, large-scale, long-term dataset of its extent has been available. We address this data gap with this new dataset compiled from satellite imagery, containing high-resolution maps of Antarctic fast ice from 2000 to 2018.
Landfast ice, or
fast ice, is a form of sea ice which is mechanically fastened to stationary...