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Satellite Observations for Detecting and Forecasting Sea-Ice Conditions: A Summary of Advances Made in the SPICES Project by the EU’s Horizon 2020 Programme

  • Marko Mäkynen
  • , Jari Haapala
  • , Giuseppe Aulicino
  • , Beena Balan-Sarojini
  • , Magdalena Balmaseda
  • , Alexandru Gegiuc
  • , Fanny Girard-Ardhuin
  • , Stefan Hendricks
  • , Georg Heygster
  • , Larysa Istomina
  • , Lars Kaleschke
  • , Juha Karvonen
  • , Thomas Krumpen
  • , Mikko Lensu
  • , Michael Mayer
  • , Flavio Parmiggiani
  • , Robert Ricker
  • , Eero Rinne
  • , Amelie Schmitt
  • , Markku Similä
  • Steffen Tietsche, Rasmus Tonboe, Peter Wadhams, Mai Winstrup, Hao Zuo

Publications: Contribution to journalArticlePeer Reviewed

Abstract

The detection, monitoring, and forecasting of sea-ice conditions, including their extremes, is very important for ship navigation and offshore activities, and for monitoring of sea-ice processes and trends. We summarize here recent advances in the monitoring of sea-ice conditions and their extremes from satellite data as well as the development of sea-ice seasonal forecasting capabilities. Our results are the outcome of the three-year (2015–2018) SPICES (Space-borne Observations for Detecting and Forecasting Sea-Ice Cover Extremes) project funded by the EU’s Horizon 2020 programme. New SPICES sea-ice products include pancake ice thickness and degree of ice ridging based on synthetic aperture radar imagery, Arctic sea-ice volume and export derived from multisensor satellite data, and melt pond fraction and sea-ice concentration using Soil Moisture and Ocean Salinity (SMOS) radiometer data. Forecasts of July sea-ice conditions from initial conditions in May showed substantial improvement in some Arctic regions after adding sea-ice thickness (SIT) data to the model initialization. The SIT initialization also improved seasonal forecasts for years with extremely low summer sea-ice extent. New SPICES sea-ice products have a demonstrable level of maturity, and with a reasonable amount of further work they can be integrated into various operational sea-ice services.
Original languageEnglish
Article number1214
Number of pages20
JournalRemote Sensing
Volume12
Issue number7
DOIs
Publication statusPublished - 10 Apr 2020

Austrian Fields of Science 2012

  • 105204 Climatology

Keywords

  • ALBEDO RETRIEVAL
  • ALGORITHMS
  • Arctic
  • IDENTIFICATION
  • MELT POND FRACTION
  • MERIS DATA
  • SCATTEROMETER
  • SNOW DEPTH
  • TEMPERATURE
  • THICKNESS RETRIEVAL
  • VALIDATION
  • forecasting
  • remote sensing
  • sea ice
  • Forecasting
  • Remote sensing
  • Sea ice

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