Articles | Volume 14, issue 2
https://doi.org/10.5194/essd-14-479-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-479-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Polar maps of C-band backscatter parameters from the Advanced Scatterometer
Jessica Cartwright
CORRESPONDING AUTHOR
National Oceanography Centre, European Way, Southampton, SO14 3ZH, UK
Ocean and Earth Science, National Oceanography Centre Southampton,
University of Southampton, Southampton, SO14 3ZH, UK
Antarctic Climate & Ecosystems Cooperative Research Centre,
University of Tasmania, Private Bag 80, Hobart, Tasmania 7001,
Australia
current address: Spire Global Inc., Glasgow, UK
Alexander D. Fraser
Australian Antarctic Program Partnership, Institute for Marine and
Antarctic Studies, University of Tasmania, Hobart, Tasmania, Australia
Institute for Marine and Antarctic Studies, University of Tasmania,
Hobart, Tasmania, Australia
Antarctic Climate & Ecosystems Cooperative Research Centre,
University of Tasmania, Private Bag 80, Hobart, Tasmania 7001,
Australia
Richard Porter-Smith
Australian Antarctic Program Partnership, Institute for Marine and
Antarctic Studies, University of Tasmania, Hobart, Tasmania, Australia
Related authors
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
Short summary
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.
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
Short summary
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.
Alexander D. Fraser, Robert A. Massom, Kay I. Ohshima, Sascha Willmes, Peter J. Kappes, Jessica Cartwright, and Richard Porter-Smith
Earth Syst. Sci. Data, 12, 2987–2999, https://doi.org/10.5194/essd-12-2987-2020, https://doi.org/10.5194/essd-12-2987-2020, 2020
Short summary
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.
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
Short summary
Short summary
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.
Joey J. Voermans, Alexander D. Fraser, Jill Brouwer, Michael H. Meylan, Qingxiang Liu, and Alexander V. Babanin
EGUsphere, https://doi.org/10.5194/egusphere-2024-2104, https://doi.org/10.5194/egusphere-2024-2104, 2024
Short summary
Short summary
Limited measurements of waves in sea ice exist, preventing our understanding of wave attenuation in sea ice under a wide range of ice conditions. Using satellite observations from ICESat-2 we observe an overall linear increase of the wave attenuation rate with distance into the marginal ice zone. While attenuation may vary greatly locally, this finding may provide opportunities for the modelling of waves in sea ice at global and climate scales when such fine detail may not be needed.
Kazuya Kusahara, Daisuke Hirano, Masakazu Fujii, Alexander D. Fraser, Takeshi Tamura, Kohei Mizobata, Guy D. Williams, and Shigeru Aoki
The Cryosphere, 18, 43–73, https://doi.org/10.5194/tc-18-43-2024, https://doi.org/10.5194/tc-18-43-2024, 2024
Short summary
Short summary
This study focuses on the Totten and Moscow University ice shelves, East Antarctica. We used an ocean–sea ice–ice shelf model to better understand regional interactions between ocean, sea ice, and ice shelf. We found that a combination of warm ocean water and local sea ice production influences the regional ice shelf basal melting. Furthermore, the model reproduced the summertime undercurrent on the upper continental slope, regulating ocean heat transport onto the continental shelf.
Lingwei Zhang, Tessa R. Vance, Alexander D. Fraser, Lenneke M. Jong, Sarah S. Thompson, Alison S. Criscitiello, and Nerilie J. Abram
The Cryosphere, 17, 5155–5173, https://doi.org/10.5194/tc-17-5155-2023, https://doi.org/10.5194/tc-17-5155-2023, 2023
Short summary
Short summary
Physical features in ice cores provide unique records of past variability. We identified 1–2 mm ice layers without bubbles in surface ice cores from Law Dome, East Antarctica, occurring on average five times per year. The origin of these bubble-free layers is unknown. In this study, we investigate whether they have the potential to record past atmospheric processes and circulation. We find that the bubble-free layers are linked to accumulation hiatus events and meridional moisture transport.
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
Short summary
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
Short summary
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.
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
Short summary
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).
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.
Alexander D. Fraser, Robert A. Massom, Kay I. Ohshima, Sascha Willmes, Peter J. Kappes, Jessica Cartwright, and Richard Porter-Smith
Earth Syst. Sci. Data, 12, 2987–2999, https://doi.org/10.5194/essd-12-2987-2020, https://doi.org/10.5194/essd-12-2987-2020, 2020
Short summary
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.
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
Short summary
Short summary
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.
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.
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
Related subject area
Cryosphere – Radar measurements
A new digital elevation model (DEM) dataset of the entire Antarctic continent derived from ICESat-2
A 30-year monthly 5 km gridded surface elevation time series for the Greenland Ice Sheet from multiple satellite radar altimeters
Airborne ultra-wideband radar sounding over the shear margins and along flow lines at the onset region of the Northeast Greenland Ice Stream
A detailed radiostratigraphic data set for the central East Antarctic Plateau spanning from the Holocene to the mid-Pleistocene
Arctic sea ice cover data from spaceborne synthetic aperture radar by deep learning
First ice thickness measurements in Tierra del Fuego at Schiaparelli Glacier, Chile
Subglacial topography and ice flux along the English Coast of Palmer Land, Antarctic Peninsula
Bed topography of Princess Elizabeth Land in East Antarctica
Xiaoyi Shen, Chang-Qing Ke, Yubin Fan, and Lhakpa Drolma
Earth Syst. Sci. Data, 14, 3075–3089, https://doi.org/10.5194/essd-14-3075-2022, https://doi.org/10.5194/essd-14-3075-2022, 2022
Short summary
Short summary
Obtaining the detailed surface topography in Antarctica is essential for fieldwork planning, surface height change and mass balance estimations. A new and reliable DEM for Antarctica with a modal resolution of 500 m is presented based on the surface height measurements from ICESat-2 by using a model fitting method. The high accuracy of elevations and the possibility for annual updates make the ICESat-2 DEM an addition to the existing Antarctic DEM groups.
Baojun Zhang, Zemin Wang, Jiachun An, Tingting Liu, and Hong Geng
Earth Syst. Sci. Data, 14, 973–989, https://doi.org/10.5194/essd-14-973-2022, https://doi.org/10.5194/essd-14-973-2022, 2022
Short summary
Short summary
A long-term time series of ice sheet surface elevation change essential for assessing climate change. This study presents a 30-year monthly 5 km gridded surface elevation time series for the Greenland Ice Sheet from multiple satellite radar altimeters. The dataset can provide detailed insight into Greenland Ice Sheet surface elevation change on multiple temporal and spatial scales, thereby providing an opportunity to explore potential associations between ice sheet change and climatic forcing.
Steven Franke, Daniela Jansen, Tobias Binder, John D. Paden, Nils Dörr, Tamara A. Gerber, Heinrich Miller, Dorthe Dahl-Jensen, Veit Helm, Daniel Steinhage, Ilka Weikusat, Frank Wilhelms, and Olaf Eisen
Earth Syst. Sci. Data, 14, 763–779, https://doi.org/10.5194/essd-14-763-2022, https://doi.org/10.5194/essd-14-763-2022, 2022
Short summary
Short summary
The Northeast Greenland Ice Stream (NEGIS) is the largest ice stream in Greenland. In order to better understand the past and future dynamics of the NEGIS, we present a high-resolution airborne radar data set (EGRIP-NOR-2018) for the onset region of the NEGIS. The survey area is centered at the location of the drill site of the East Greenland Ice-Core Project (EastGRIP), and radar profiles cover both shear margins and are aligned parallel to several flow lines.
Marie G. P. Cavitte, Duncan A. Young, Robert Mulvaney, Catherine Ritz, Jamin S. Greenbaum, Gregory Ng, Scott D. Kempf, Enrica Quartini, Gail R. Muldoon, John Paden, Massimo Frezzotti, Jason L. Roberts, Carly R. Tozer, Dustin M. Schroeder, and Donald D. Blankenship
Earth Syst. Sci. Data, 13, 4759–4777, https://doi.org/10.5194/essd-13-4759-2021, https://doi.org/10.5194/essd-13-4759-2021, 2021
Short summary
Short summary
We present a data set consisting of ice-penetrating-radar internal stratigraphy: 26 internal reflecting horizons that cover the greater Dome C area, East Antarctica, the most extensive IRH data set to date in the region. This data set uses radar surveys collected over the span of 10 years, starting with an airborne international collaboration in 2008 to explore the region, up to the detailed ground-based surveys in support of the European Beyond EPICA – Oldest Ice (BE-OI) project.
Yi-Ran Wang and Xiao-Ming Li
Earth Syst. Sci. Data, 13, 2723–2742, https://doi.org/10.5194/essd-13-2723-2021, https://doi.org/10.5194/essd-13-2723-2021, 2021
Short summary
Short summary
Sea ice cover is the most fundamental factor that indicates the underlying great changes in the Arctic. We propose novel sea ice cover data in high resolution of a few hundred meters by spaceborne synthetic aperture radar, which is more than 10 times that of the operational sea ice cover and concentration data. The method is based on a deep learning architecture of U-Net. We have been processing data acquired by Sentinel-1 since 2014 to obtain high-quality sea ice cover data in the Arctic.
Guisella Gacitúa, Christoph Schneider, Jorge Arigony, Inti González, Ricardo Jaña, and Gino Casassa
Earth Syst. Sci. Data, 13, 231–236, https://doi.org/10.5194/essd-13-231-2021, https://doi.org/10.5194/essd-13-231-2021, 2021
Short summary
Short summary
We performed the first successful ice thickness measurements using terrestrial ground-penetrating radar in the ablation area of Schiaparelli Glacier (Cordillera Darwin, Tierra del Fuego, Chile). Data are fundamental to understand glaciers dynamics, constrain ice dynamical modelling, and predict glacier evolution. Results show a valley-shaped bedrock below current sea level; thus further retreat of Schiaparelli Glacier will probably lead to an enlarged and strongly over-deepened proglacial lake.
Kate Winter, Emily A. Hill, G. Hilmar Gudmundsson, and John Woodward
Earth Syst. Sci. Data, 12, 3453–3467, https://doi.org/10.5194/essd-12-3453-2020, https://doi.org/10.5194/essd-12-3453-2020, 2020
Short summary
Short summary
Satellite measurements of the English Coast in the Antarctic Peninsula reveal that glaciers are thinning and losing mass, but ice thickness data are required to assess these changes, in terms of ice flux and sea level contribution. Our ice-penetrating radar measurements reveal that low-elevation subglacial channels control fast-flowing ice streams, which release over 39 Gt of ice per year to floating ice shelves. This topography could make ice flows susceptible to future instability.
Xiangbin Cui, Hafeez Jeofry, Jamin S. Greenbaum, Jingxue Guo, Lin Li, Laura E. Lindzey, Feras A. Habbal, Wei Wei, Duncan A. Young, Neil Ross, Mathieu Morlighem, Lenneke M. Jong, Jason L. Roberts, Donald D. Blankenship, Sun Bo, and Martin J. Siegert
Earth Syst. Sci. Data, 12, 2765–2774, https://doi.org/10.5194/essd-12-2765-2020, https://doi.org/10.5194/essd-12-2765-2020, 2020
Short summary
Short summary
We present a topographic digital elevation model (DEM) for Princess Elizabeth Land (PEL), East Antarctica. The DEM covers an area of approximately 900 000 km2 and was built from radio-echo sounding data collected in four campaigns since 2015. Previously, to generate the Bedmap2 topographic product, PEL’s bed was characterised from low-resolution satellite gravity data across an otherwise large (>200 km wide) data-free zone.
Cited articles
Alley, K. E.: Studies of Antarctic Ice Shelf Stability: Surface Melting,
Basal Melting, and Ice Flow Dynamics, PhD thesis, Department of Geological Sciences,
University of Colorado Boulder, 2017.
Alley, K. E., Scambos, T. A., Miller, J. Z., Long, D. G., and MacFerrin, M.:
Quantifying vulnerability of Antarctic ice shelves to hydrofracture using
microwave scattering properties, Remote Sens. Environ., 210,
297–306, https://doi.org/10.1016/j.rse.2018.03.025, 2018.
Ashcraft, I. S. and Long, D. G.: Comparison of methods for melt detection
over Greenland using active and passive microwave measurements,
Int. J. Remote Sens., 27, 2469–2488,
https://doi.org/10.1080/01431160500534465, 2007.
Bartalis, Z., Scipal, K., and Wagner, W.: Azimuthal anisotropy of
scatterometer measurements over land, IEEE T. Geosci.
Remote, 44, 2083–2092, https://doi.org/10.1109/tgrs.2006.872084, 2006.
Bingham, A. W. and Drinkwater, M. R.: Recent changes in the microwave
scattering properties of the Antarctic ice sheet, IEEE T.
Geosci. Remote, 38, 1810–1820, https://doi.org/10.1109/36.851765, 2000.
Bird, K. J., Charpentier, R. R., Gautier, D. L., Houseknecht, D. W., Klett,
T. R., Pitman, J. K., Moore, T. E., Schenk, C. J., Tennyson, M. E., and
Wandrey, C. R.: Circum-arctic resource appraisal: Estimates of undiscovered
oil and gas north of the Arctic Circle, Fact Sheet 2008-3049, https://doi.org/10.3133/fs20083049, 2008.
Breivik, L.-A., Eastwood, S., and Lavergne, T.: Use of C-Band Scatterometer
for Sea Ice Edge Identification, IEEE T. Geosci. Remote, 50, 2669–2677, https://doi.org/10.1109/tgrs.2012.2188898, 2012.
Budge, J. S. and Long, D. G.: A Comprehensive Database for Antarctic Iceberg
Tracking Using Scatterometer Data, IEEE J. Sel. Top.
Appl., 11, 434–442,
https://doi.org/10.1109/jstars.2017.2784186, 2018.
Comiso, J. C., Cavalieri, D. J., and Markus, T.: Sea ice concentration, ice
temperature, and snow depth using AMSR-E data, IEEE T.
Geosci. Remote, 41, 243–252, https://doi.org/10.1109/TGRS.2002.808317, 2003.
Drinkwater, M. R., Long, D. G., and Bingham, A. W.: Greenland snow
accumulation estimates from satellite radar scatterometer data, J.
Geophys. Res.-Atmos., 106, 33935–33950, https://doi.org/10.1029/2001jd900107,
2001.
EUMETSAT: ASCAT
GDS Level 1 Sigma0 resampled at 12.5 km Swath Grid
– MetOp – Global, ASCSZR1B, EUMETSAT [data set], available at: https://vnavigator.eumetsat.int/product/EO:EUM:DAT:METOP:ASCSZR1B, last access: July 2021.
Figa-Saldaña, J., Wilson, J. J. W., Attema, E., Gelsthorpe, R.,
Drinkwater, M. R., and Stoffelen, A.: The advanced scatterometer (ASCAT) on
the meteorological operational (MetOp) platform: A follow on for European
wind scatterometers, Can. J. Remote Sens., 28, 404–412,
https://doi.org/10.5589/m02-035, 2002.
Fraser, A. D. and Cartwright, J.: Advanced Scatterometer-derived Arctic and Antarctic backscatter anisotropy parameter maps, Ver. 3, Australian Antarctic Data Centre [data set], https://doi.org/10.26179/91c9-4783, 2022.
Fraser, A. D., Young, N. W., and Adams, N.: Comparison of Microwave
Backscatter Anisotropy Parameterizations of the Antarctic Ice Sheet Using
ASCAT, IEEE T. Geosci. Remote, 52, 1583–1595,
https://doi.org/10.1109/tgrs.2013.2252621, 2014.
Fraser, A. D., Nigro, M. A., Ligtenberg, S. R. M., Legresy, B., Inoue, M.,
Cassano, J. J., Kuipers Munneke, P., Lenaerts, J. T. M., Young, N. W.,
Treverrow, A., Van Den Broeke, M., and Enomoto, H.: Drivers of ASCAT C band
backscatter variability in the dry snow zone of Antarctica, J.
Glaciol., 62, 170–184, https://doi.org/10.1017/jog.2016.29, 2016.
Holland, P. R., Bracegirdle, T. J., Dutrieux, P., Jenkins, A., and Steig, E.
J.: West Antarctic ice loss influenced by internal climate variability and
anthropogenic forcing, Nat. Geosci., 12, 718–724,
https://doi.org/10.1038/s41561-019-0420-9, 2019.
IPCC: IPCC Special Report on the Ocean and Cryosphere in a Changing Climate, edited by: Pörtner, H.-O., Roberts, D. C., Masson-Delmotte, V., Zhai, P., Tignor, M., Poloczanska, E., Mintenbeck, K., Alegría, A., Nicolai, M., Okem, A., Petzold, J., Rama, B., and Weyer, N. M., in press, 2019.
Ledroit, M., Remy, F., and Minster, J. F.: Observations of the Antarctic ice
sheet with the Seasat scatterometer: relation to katabatic-wind intensity
and direction, J. Glaciol., 39, 385–396,
https://doi.org/10.3189/s002214300001604x, 1993.
Lin, C.-C., Betto, M., Belmonte Rivas, M., Stoffelen, A., and de Kloe, J.:
EPS-SG Windscatterometer Concept Tradeoffs and Wind Retrieval Performance
Assessment, IEEE T. Geosci. Remote, 50,
2458–2472, https://doi.org/10.1109/tgrs.2011.2180393, 2012.
Long, D. G.: Polar Applications of Spaceborne Scatterometers, IEEE J. Sel. Top. Appl., 10, 2307–2320, https://doi.org/10.1109/JSTARS.2016.2629418,
2017.
Long, D. G. and Drinkwater, M. R.: Azimuth variation in microwave
scatterometer and radiometer data over Antarctica, IEEE T.
Geosci. Remote, 38, 1857–1870, https://doi.org/10.1109/36.851769, 2000.
Long, D. G., Hardin, P. J., and Whiting, P. T.: Resolution enhancement of
spaceborne scatterometer data, IEEE T. Geosci. Remote, 31, 700–715, https://doi.org/10.1109/36.225536, 1993.
Lubin, D. and Massom, R.: Polar Remote Sensing: Volume I: Atmosphere and
Oceans, Springer Science & Business Media, ISBN-13 978-3662499764
ISBN-10 3662499762, 2006.
Massom, R. and Lubin, D.: Polar Remote Sensing: Volume II: Ice Sheets,
Springer Praxis Books, Springer Berlin Heidelberg, ISBN-13 978-3540261018
ISBN-10 354026101X, 2005.
Mätzler, C. and Hüppi, R.: Review of signature studies for microwave
remote sensing of snowpacks, Adv. Space Res., 9, 253–265,
https://doi.org/10.1016/0273-1177(89)90493-6, 1989.
Müller, K., Sinisalo, A., Anschütz, H., Hamran, S.-E., Hagen, J.-O.,
McConnell, J. R., and Pasteris, D. R.: An 860 km surface mass-balance
profile on the East Antarctic plateau derived by GPR, Ann. Glaciol., 51, 1–8,
https://doi.org/10.3189/172756410791392718, 2010.
OSI SAF: Sea ice type product of the EUMETSAT Ocean and Sea Ice Satellite
Application Facility, available at: http://osi-saf.eumetsat.int (last access: 2 February 2022), 2019a.
OSI SAF: Sea ice edge product of the EUMETSAT Ocean and Sea Ice Satellite
Application Facility, available at: http://osi-saf.eumetsat.int (last access: 2 February 2022), 2019b.
Partington, K. and Flach, D.: Synergetic Use of Remote Sensing Data in Ice
Sheet Snow Accumulation and Topographic Change Estimates: Comparison of
model output with available data, Tech. Rep. NOV-3137-NT-1537, Noveltis, Vexcel UK and Legos, Ramonville-Saint-Agne, France, 2003.
Remy, F., Ledroit, M., and Minster, J. F.: Katabatic wind intensity and
direction over Antarctica derived from scatterometer data, Geophys.
Res. Lett., 19, 1021–1024, https://doi.org/10.1029/92gl00970, 1992.
Rignot, E., Echelmeyer, K., and Krabill, W.: Penetration depth of
interferometric synthetic-aperture radar signals in snow and ice,
Geophys. Res. Lett., 28, 3501–3504, https://doi.org/10.1029/2000gl012484, 2001.
Rott, H., Sturm, K., and Miller, H.: Active and passive microwave signatures
of Antarctic firn by means of field measurements and satellite data, Ann.
Glaciol., 17, 337–343, https://doi.org/10.3189/S0260305500013070, 1993.
Spencer, M. W., Chialin, W., and Long, D. G.: Tradeoffs in the design of a
spaceborne scanning pencil beam scatterometer: application to SeaWinds, IEEE
T. Geosci. Remote, 35, 115–126,
https://doi.org/10.1109/36.551940, 1997.
Stroeve, J. C., Serreze, M. C., Holland, M. M., Kay, J. E., Malanik, J., and
Barrett, A. P.: The Arctic's rapidly shrinking sea ice cover: a research
synthesis, Climatic Change, 110, 1005–1027, https://doi.org/10.1007/s10584-011-0101-1, 2011.
Trusel, L. D., Frey, K. E., and Das, S. B.: Antarctic surface melting
dynamics: Enhanced perspectives from radar scatterometer data, J.
Geophys. Res.-Earth, 117, F02023, https://doi.org/10.1029/2011JF002126, 2012.
Ulaby, F. T., Siquera, P., Nashashibi, A., and Sarabandi, K.: Semi-empirical
model for radar backscatter from snow at 35 and 95 GHz, IEEE T.
Geosci. Remote, 34, 1059–1065, https://doi.org/10.1109/36.536521, 1996.
Vogelzang, J. and Stoffelen, A.: ASCAT Ultrahigh-Resolution Wind Products on
Optimized Grids, IEEE J. Sel. Top. Appl., 10, 2332–2339, https://doi.org/10.1109/jstars.2016.2623861,
2017.
Young, N. W. and Hyland, G.: Applications of time series of microwave
backscatter over the Antarctic region, Third ERS Symposium on Space at the
service of our Environment, Florence, Italy, 14–21 March 1997, ISBN 92-9092-656-2, 1007–1014, 1997.
Yurchak, B.: Some Features of the Volume Component of Radar Backscatter from
Thick and Dry Snow Cover, in: Advances in Geoscience and Remote Sensing,
edited by: Jedlovec, G., Intech, Rijeka, Croatia, https://doi.org/10.5772/8339, 2009.
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.
Due to the scale and remote nature of the polar regions, it is essential to use satellite remote...
Altmetrics
Final-revised paper
Preprint