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

被引：19

作者：

Makynen, Marko ^{[1
]}

Haapala, Jari ^{[1
]}

Aulicino, Giuseppe ^{[2
]}

Balan-Sarojini, Beena ^{[3
]}

Balmaseda, Magdalena ^{[3
]}

Gegiuc, Alexandru ^{[1
]}

Girard-Ardhuin, Fanny ^{[4
]}

Hendricks, Stefan

Heygster, Georg ^{[6
]}

Istomina, Larysa ^{[5
]}

Kaleschke, Lars ^{[5
]}

Karvonen, Juha ^{[1
]}

Krumpen, Thomas ^{[5
]}

Lensu, Mikko ^{[1
]}

Mayer, Michael ^{[3
,7
]}

Parmiggiani, Flavio ^{[8
]}

Ricker, Robert ^{[4
,5
]}

Rinne, Eero ^{[1
]}

Schmitt, Amelie ^{[9
]}

Simila, Markku ^{[1
]}

Tietsche, Steffen ^{[3
]}

Tonboe, Rasmus ^{[10
]}

Wadhams, Peter ^{[11
]}

Winstrup, Mai ^{[12
]}

Zuo, Hao ^{[3
]}

机构：

[1] Finnish Meteorol Inst, PB 503, FI-00101 Helsinki, Finland

[2] Univ Napoli Parthenope, Dept Sci & Technol DiST, Ctr Direz Is C4, I-80143 Naples, Italy

[3] European Ctr Medium Rang Weather Forecasts, Reading RG2 9AX, Berks, England

[4] Univ Brest, IFREMER, CNRS, IRD,Lab Oceanog Phys & Spatiale,IUEM, F-29280 Brest, France

[5] Alfred Wegener Inst, Handelshafen 12, D-27570 Bremerhaven, Germany

[6] Univ Bremen, Inst Environm Phys, D-28359 Bremen, Germany

[7] Univ Vienna, Dept Meteorol & Geophys, UZA II, Althanstr 14, A-1090 Vienna, Austria

[8] CNR, ISAC, Dept Satellite Meteorol, Via Piero Gobetti 101, I-40129 Bologna, Italy

[9] Univ Hamburg, Fac Math Informat & Nat Sci, Bundesstr 53, D-20146 Hamburg, Germany

[10] Danish Meteorol Inst, Lyngbyvej 100, DK-2100 Copenhagen, Denmark

[11] Univ Politecn Marche, Dept Life & Environm Sci DiSVA, Via Brecce Bianche, I-60131 Ancona, Italy

[12] Tech Univ Denmark, DTU Space, Natl Space Inst, Elektrovej Bygning 327, DK-2800 Lyngby, Denmark

来源：

REMOTE SENSING | 2020年 / 12卷 / 07期

基金：

欧盟地平线“2020”;

关键词：

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

D O I：

10.3390/rs12071214

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

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.

引用

页数：20

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