Atle Macdonald Sørensen

ORCID: 0000-0002-7401-3416
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About
Contact & Profiles
Research Areas
  • Arctic and Antarctic ice dynamics
  • Cryospheric studies and observations
  • Climate change and permafrost
  • Methane Hydrates and Related Phenomena
  • Geological Studies and Exploration
  • Arctic and Russian Policy Studies
  • Soil Moisture and Remote Sensing
  • Oceanographic and Atmospheric Processes

Norwegian Meteorological Institute
2015-2024

Grønlands Naturinstitut
2024

Abstract. We introduce the OSI-450, SICCI-25km and SICCI-50km climate data records of gridded global sea-ice concentration. These three are derived from passive microwave satellite offer distinct advantages compared to existing records: first, all provide quantitative information on uncertainty possibly applied filtering at every grid point time step. Second, they based dynamic tie points, which capture evolution surface characteristics ice cover accommodate potential calibration differences...

10.5194/tc-13-49-2019 article EN cc-by ˜The œcryosphere 2019-01-09

Abstract. Sea ice concentration has been retrieved in polar regions with satellite microwave radiometers for over 30 years. However, the question remains as to what is an optimal sea retrieval method climate monitoring. This paper presents some of key results extensive algorithm inter-comparison and evaluation experiment. The skills algorithms were evaluated systematically low high concentrations. Evaluation criteria included standard deviation relative independent validation data,...

10.5194/tc-9-1797-2015 article EN cc-by ˜The œcryosphere 2015-09-15

Abstract. An Arctic and Antarctic sea ice area extent dataset has been generated by EUMETSAT's Ocean Sea Ice Satellite Application Facility (OSISAF) using the record of microwave radiometer data from NASA's Nimbus 7 Scanning Multichannel Microwave (SMMR) Defense Meteorological Program (DMSP) Special Sensor Microwave/Imager (SSM/I) Imager Sounder (SSMIS) satellite sensors. The covers period October 1978 to April 2015 updates further developments are planned for next phase project. methodology...

10.5194/tc-10-2275-2016 article EN cc-by ˜The œcryosphere 2016-09-28

Abstract. We report on results of a systematic inter-comparison 10 global sea-ice concentration (SIC) data products at 12.5 to 50.0 km grid resolution for both the Arctic and Antarctic. The are compared with each other respect differences in SIC, area (SIA), extent (SIE), they against wintertime near-100 % reference SIC set closed pack ice conditions year-round ship-based visual observations cover. can group based concept their retrieval algorithms. Group I consists sets using...

10.5194/tc-13-3261-2019 article EN cc-by ˜The œcryosphere 2019-12-10

Abstract The cryosphere web portal maintained by the Norwegian Meteorological Institute (MET Norway), https://cryo.met.no , provides access to latest operational data and current state of sea ice, snow, permafrost in Norway, Arctic, Antarctic. We present addition this portal: monitoring at MET Norway methods for visualising real-time temperature data. temperatures are compared climatology generated from station’s record, including median, confidence intervals, extremes, trends. There...

10.1088/1748-9326/ac8e1c article EN cc-by Environmental Research Letters 2022-08-31

Abstract. We introduce the OSI-450, SICCI-25km and SICCI-50km climate data records of gridded global sea-ice concentration. These three are derived from passive microwave satellite offer distinct advantages compared to existing records: First, all provide quantitative information on uncertainty possibly applied filtering at every grid point time step. Second, they based dynamic tie points, which capture evolution surface characteristics ice cover accommodate potential calibration differences...

10.5194/tc-2018-127 preprint EN cc-by 2018-07-16

Abstract. Sea ice concentration has been measured globally with satellite microwave radiometers for over 30 years. However there is still a need better understanding of corresponding challenges and consequently identifying an optimal method sea retrieval suitable climate monitoring. The should minimize inter-sensor calibration discrepancies sensitivity to error sources climatic trends (e.g. atmospheric water vapour surface roughening by wind). This article presents the results extensive...

10.5194/tcd-9-1269-2015 preprint EN cc-by 2015-02-26

Abstract. Reliable short-term sea ice forecasts are needed to support maritime operations in polar regions. While produced by physical-based models still have limited accuracy, statistical post-processing techniques (often called calibration) can be applied reduce forecast errors. In this study, methods based on supervised machine learning been developed for improving the skill of concentration from TOPAZ4 prediction system lead times 1 10 days. The deep use predictors forecasts, weather and...

10.5194/egusphere-2023-2439 preprint EN cc-by 2023-11-13

Abstract Knowledge about seafloor depth, or bathymetry, is crucial for various marine activities, including scientific research, offshore industry, safety of navigation, and ocean exploration. Mapping the central Arctic Ocean challenging due to presence perennial sea ice, which limits data collection icebreakers, submarines, drifting ice stations. The International Bathymetric Chart (IBCAO) was initiated in 1997 with goal updating bathymetric portrayal. project team has since released four...

10.1038/s41597-024-04278-w article EN cc-by Scientific Data 2024-12-21

Abstract. An Arctic and Antarctic sea ice area extent dataset has been generated by EUMETSAT's Ocean Sea Ice Satellite Application Facility (OSISAF) using the record of American microwave radiometer data from Nimbus 7 Scanning Multichannel Microwave (SMMR) Defense Meteorological satellite Program (DMSP) Special Sensor Microwave/Imager (SSM/I) Imager Sounder (SSMIS) sensors. The covers period 1978 to 2014 updates further developments are planned for next phase project. methodology is using:...

10.5194/tc-2016-34 article EN cc-by 2016-03-17

Abstract. Reliable short-term sea ice forecasts are needed to support maritime operations in polar regions. While produced by physically based models still have limited accuracy, statistical post-processing techniques can be applied reduce forecast errors. In this study, methods on supervised machine learning been developed for improving the skill of concentration from TOPAZ4 prediction system lead times 1 10 d. The deep use predictors forecasts, weather and observations. Predicting next d...

10.5194/tc-18-2161-2024 article EN cc-by ˜The œcryosphere 2024-04-30

<p>The web portal for cryospheric information of the Norwegian Meteorological Institute (MET Norway), https://cryo.met.no, provides access to latest operational data and products, as well current state sea ice, snow, permafrost in Norway, Arctic, Antarctic. This contribution focuses on monitoring at MET Norway new products cryo.met.no.</p><p>Systematic long-term Svalbard essentially began 23 years ago under European Union-funded Permafrost Climate...

10.5194/ems2022-217 preprint EN 2022-06-28
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