Anja Rösel
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View article: Arctic Meltponds: Automated Detection Algorithm Using Enhanced Machine Learning
Arctic Meltponds: Automated Detection Algorithm Using Enhanced Machine Learning Open
Melt ponds are pools of water that form during summer on the surface of the arctic ice. Due to the lower albedo, melt ponds absorb more solar radiation than surrounding ice and hence have higher temperature. This causes more water to melt,…
View article: Implications of surface flooding on airborne estimates of snow depth on sea ice
Implications of surface flooding on airborne estimates of snow depth on sea ice Open
Snow depth observations from airborne snow radars, such as the NASA's Operation IceBridge (OIB) mission, have recently been used in altimeter-derived sea ice thickness estimates, as well as for model parameterization. A number of validatio…
View article: The Future of the Arctic: What Does It Mean for Sea Ice and Small Creatures?
The Future of the Arctic: What Does It Mean for Sea Ice and Small Creatures? Open
The warming of our planet is changing the Arctic dramatically. The area covered by sea-ice is shrinking and the ice that is left is younger and thinner. We took part in an expedition to the Arctic, to study how these changes affect organis…
View article: Implications of surface flooding on airborne thickness measurementsof snow on sea ice
Implications of surface flooding on airborne thickness measurementsof snow on sea ice Open
Snow thickness observations from airborne snow radars, such as the NASA’s Operation IceBridge (OIB) mission, have recently been used in altimeter-derived sea ice thickness estimates, as well as for model parameterization. A number of valid…
View article: Snow Property Controls on Modeled Ku-Band Altimeter Estimates of First-Year Sea Ice Thickness: Case Studies From the Canadian and Norwegian Arctic
Snow Property Controls on Modeled Ku-Band Altimeter Estimates of First-Year Sea Ice Thickness: Case Studies From the Canadian and Norwegian Arctic Open
Uncertainty in snow properties impacts the accuracy of Arctic sea ice thickness estimates from radar altimetry. On first-year sea ice (FYI), spatiotemporal variations in snow properties can cause the Ku-band main radar scattering horizon t…
View article: Advances in Snow Hydrology Using a Combined Approach of GNSS In Situ Stations, Hydrological Modelling and Earth Observation—A Case Study in Canada
Advances in Snow Hydrology Using a Combined Approach of GNSS In Situ Stations, Hydrological Modelling and Earth Observation—A Case Study in Canada Open
The availability of in situ snow water equivalent (SWE), snowmelt and run-off measurements is still very limited especially in remote areas as the density of operational stations and field observations is often scarce and usually costly, l…
View article: Science Outreach Using Social Media: Oceanography from the Lab to the Public
Science Outreach Using Social Media: Oceanography from the Lab to the Public Open
Communication is a key aspect of a scientists work. Part of our mandate is to communicate findings not only to the research community, through peer-​reviewed articles, but also to the wider public. Raising awareness of how science se…
View article: Critical role of snow on sea ice growth in the Atlantic sector of the Arctic Ocean
Critical role of snow on sea ice growth in the Atlantic sector of the Arctic Ocean Open
During the Norwegian young sea ICE (N-ICE2015) campaign, which took place in the first half of 2015 north of Svalbard, a deep winter snow pack (50 cm) on sea ice was observed, that was 50% thicker than earlier climatological studies sugges…
View article: A Distributed Snow‐Evolution Model for Sea‐Ice Applications (SnowModel)
A Distributed Snow‐Evolution Model for Sea‐Ice Applications (SnowModel) Open
Snow‐depth distributions on sea ice have substantial impacts on winter ice growth and summer ice melt. There are two types of wind‐related snow distributions in this environment: snowdrifts that form around ice pressure ridges; and snow du…
View article: Algal Hot Spots in a Changing Arctic Ocean: Sea-Ice Ridges and the Snow-Ice Interface
Algal Hot Spots in a Changing Arctic Ocean: Sea-Ice Ridges and the Snow-Ice Interface Open
During the N-ICE2015 drift expedition north-west of Svalbard, we observed the establishment and development of algal communities in first-year ice (FYI) ridges and at the snow-ice interface. Despite some indications of being hot spots for …
View article: Thin Sea Ice, Thick Snow, and Widespread Negative Freeboard Observed During N‐ICE2015 North of Svalbard
Thin Sea Ice, Thick Snow, and Widespread Negative Freeboard Observed During N‐ICE2015 North of Svalbard Open
In recent years, sea‐ice conditions in the Arctic Ocean changed substantially toward a younger and thinner sea‐ice cover. To capture the scope of these changes and identify the differences between individual regions, in situ observations f…
View article: Does Your Lab Use Social Media?: Sharing Three Years of Experience in Science Communication
Does Your Lab Use Social Media?: Sharing Three Years of Experience in Science Communication Open
Effective science communication is essential to share knowledge and recruit the next generation of researchers. Science communication to the general public can, however, be hampered by limited resources and a lack of incentives in the acad…
View article: Comparison of Freeboard Retrieval and Ice Thickness Calculation From ALS, ASIRAS, and CryoSat‐2 in the Norwegian Arctic to Field Measurements Made During the N‐ICE2015 Expedition
Comparison of Freeboard Retrieval and Ice Thickness Calculation From ALS, ASIRAS, and CryoSat‐2 in the Norwegian Arctic to Field Measurements Made During the N‐ICE2015 Expedition Open
We present freeboard measurements from airborne laser scanner (ALS), the Airborne Synthetic Aperture and Interferometric Radar Altimeter System (ASIRAS), and CryoSat‐2 SIRAL radar altimeter; ice thickness measurements from both helicopter‐…
View article: Can we extend local sea-ice measurements to satellite scale? An example from the N-ICE2015 expedition
Can we extend local sea-ice measurements to satellite scale? An example from the N-ICE2015 expedition Open
Knowledge of Arctic sea-ice conditions is of great interest for Arctic residents, as well as for commercial usage, and to study the effects of climate change. Information gained from analysis of satellite data contributes to this understan…
View article: Sea ice segmentation using Tandem-X pursuit monostatic and alternative bistatic modes
Sea ice segmentation using Tandem-X pursuit monostatic and alternative bistatic modes Open
In this paper we investigate interferometric pairs of SAR images acquired by Tandem-X with the monostatic pursuit and the alternative bistatic modes for sea ice segmentation. The individual SAR images are modelled as non-Gaussian, and from…
View article: The seeding of ice algal blooms in Arctic pack ice: The multiyear ice seed repository hypothesis
The seeding of ice algal blooms in Arctic pack ice: The multiyear ice seed repository hypothesis Open
During the Norwegian young sea ICE expedition (N-ICE2015) from January to June 2015 the pack ice in the Arctic Ocean north of Svalbard was studied during four drifts between 83° and 80°N. This pack ice consisted of a mix of second year, fi…
View article: Sea ice thermohaline dynamics and biogeochemistry in the Arctic Ocean: Empirical and model results
Sea ice thermohaline dynamics and biogeochemistry in the Arctic Ocean: Empirical and model results Open
Here, large changes in the sea ice regime of the Arctic Ocean have occurred over the last decades justifying the development of models to forecast sea ice physics and biogeochemistry. The main goal of this study is to evaluate the performa…
View article: Spring snow conditions on Arctic sea ice north of Svalbard, during the Norwegian Young Sea ICE (N‐ICE2015) expedition
Spring snow conditions on Arctic sea ice north of Svalbard, during the Norwegian Young Sea ICE (N‐ICE2015) expedition Open
Snow is crucial over sea ice due to its conflicting role in reflecting the incoming solar energy and reducing the heat transfer so that its temporal and spatial variability are important to estimate. During the Norwegian Young Sea ICE (N‐I…
View article: Observations of flooding and snow‐ice formation in a thinner <scp>A</scp>rctic sea‐ice regime during the <scp>N‐ICE</scp>2015 campaign: Influence of basal ice melt and storms
Observations of flooding and snow‐ice formation in a thinner <span>A</span>rctic sea‐ice regime during the <span>N‐ICE</span>2015 campaign: Influence of basal ice melt and storms Open
Seven ice mass balance instruments deployed near 83°N on different first‐year and second‐year ice floes, representing variable snow and ice conditions, documented the evolution of snow and ice conditions in the Arctic Ocean north of Svalba…
View article: Snow contribution to first‐year and second‐year Arctic sea ice mass balance north of Svalbard
Snow contribution to first‐year and second‐year Arctic sea ice mass balance north of Svalbard Open
The salinity and water oxygen isotope composition (δ 18 O) of 29 first‐year (FYI) and second‐year (SYI) Arctic sea ice cores (total length 32.0 m) from the drifting ice pack north of Svalbard were examined to quantify the contribution of s…
View article: The impact of melt ponds on summertime microwave brightness temperatures andsea-ice concentrations
The impact of melt ponds on summertime microwave brightness temperatures andsea-ice concentrations Open
Sea-ice concentrations derived from satellite microwave brightness temperatures are less accurate during summer. In the Arctic Ocean the lack of accuracy is primarily caused by melt ponds, but also by changes in the properties of snow and …
View article: Investigation into Different Polarimetric Features for Sea Ice Classification Using X-Band Synthetic Aperture Radar
Investigation into Different Polarimetric Features for Sea Ice Classification Using X-Band Synthetic Aperture Radar Open
Satellite-borne synthetic aperture radar has proven to
\nbe a valuable tool for sea icemonitoring for more than two decades. In this study, we examine the performance of an automated sea ice classification algorithm based on polarimetric T…
View article: The impact of melt ponds on summertime microwave brightness temperatures and sea ice concentrations
The impact of melt ponds on summertime microwave brightness temperatures and sea ice concentrations Open
The sea ice concentration (SIC) derived from satellite microwave brightness temperature (TB) data are known to be less accurate during summer melt conditions – in the Arctic Ocean primarily because of the impact of melt ponds on sea ice. U…
View article: Gridded Melt Pond Cover Fraction on Arctic Sea Ice derived from TERRA-MODIS 8-day composite Reflectance Data bias corrected Version 02
Gridded Melt Pond Cover Fraction on Arctic Sea Ice derived from TERRA-MODIS 8-day composite Reflectance Data bias corrected Version 02 Open
Project: Integrated Climate System Analysis and Prediction - Within CliSAP (Integrated Climate System Analysis and Prediction) the ongoing and past changes of state of the climate system are analysed, in response to natural and anthropogen…