Output of the optical retrievals of snow and ice properties using Sentinel-3 OLCI instrument::
- mosaics of top-of-the-atmosphere OLCI reflectances
- spectral/broadband albedo
- Snow specific surface area (SSA) and optical grain diameter
- cloud mask

The current ver. 1 daily product has 1 km horizontal resolution.

The featured regions provide coverage for Arctic glaciated land ice areas (ranked by area): Greenland; Northern Arctic Canada; Southern Arctic Canada; Svalbard; Novaya Zemlya; Severnaya Zemlya; Iceland and Frans Josef Land

Website:
http://snow.geus.dk/

Processing scripts:
https://github.com/GEUS-SICE/SICE
https://github.com/GEUS-SICE/pySICE

Basic Usage

Data gathering script:
https://github.com/GEUS-SICE/SICE/blob/master/SICE_dataverse_download.py

Data display:
TBD

ATBD:
  • Kokhanovsky, A.; Box, J.; Vandecrux, B. Pre-operational Sentinel-3 Snow and Ice (SICE) Products: Algorithm Theoretical Basis Document. Preprints 2020, https://doi.org/10.20944/preprints202009.0529.v1).
  • Kokhanovsky A.A., B. Vandecrux, A. Wehrlé, O. Danne, C. Brockmann, J.E. Box, An Improved Retrieval of Snow and Ice Properties Using Spaceborne OLCI/S-3 Spectral Reflectance Measurements: Updated Atmospheric Correction and Snow Impurity Load Estimation, Remote Sensing, in review Dec, 2022. preprint

  • Related studies:
  • Kokhanovsky, A.; Lamare, M.; Danne, O.; Brockmann, C.; Dumont, M.; Picard, G.; Arnaud, L.; Favier, V.; Jourdain, B.; Le Meur, E.; Di Mauro, B.; Aoki, T.; Niwano, M.; Rozanov, V.; Korkin, S.; Kipfstuhl, S.; Freitag, J.; Hoerhold, M.; Zuhr, A.; Vladimirova, D.; Faber, A.-K.; Steen-Larsen, H.C.; Wahl, S.; Andersen, J.K.; Vandecrux, B.; van As, D.; Mankoff, K.D.; Kern, M.; Zege, E.; Box, J.E. Retrieval of Snow Properties from the Sentinel-3 Ocean and Land Colour Instrument. Remote Sens. 2019, 11, 2280. https://doi.org/10.3390/rs11192280
  • Kokhanovsky, A.; Box, J.E.; Vandecrux, B.; Mankoff, K.D.; Lamare, M.; Smirnov, A.; Kern, M. The Determination of Snow Albedo from Satellite Measurements Using Fast Atmospheric Correction Technique. Remote Sens. 2020, 12, 234. https://doi.org/10.3390/rs12020234
  • Wehrlé, A.; Box, J. E.; Niwano, M.; Anesio, A. M.; Fausto, R. S. Greenland bare-ice albedo from PROMICE automatic weather station measurements and Sentinel-3 satellite observations. GEUS Bulletin, 2021, 47. https://doi.org/10.34194/geusb.v47.5284
  • Vandecrux, B.; Box, J.E.; Wehrlé, A.; Kokhanovsky, A.A.; Picard, G.; Niwano, M.; Hörhold, M.; Faber, A.-K.; Steen-Larsen, H.C. The Determination of the Snow Optical Grain Diameter and Snowmelt Area on the Greenland Ice Sheet Using Spaceborne Optical Observations. Remote Sens. 2022, 14, 932. https://doi.org/10.3390/rs14040932
  • Kokhanovsky A.A., B. Vandecrux, A. Wehrlé, O. Danne, C. Brockmann, J.E. Box, An Improved Retrieval of Snow and Ice Properties Using Spaceborne OLCI/S-3 Spectral Reflectance Measurements: Updated Atmospheric Correction and Snow Impurity Load Estimation, Remote Sensing, in review Dec, 2022. preprint

  • Associated ESA contracts
    SICE has been supported by the following contracts to the European Space Agency (ESA): ol>
  • Dec. 2016 – Jan. 2019 SEOM S34Sci Land Study 1: Snow, ESRIN Contract 4000118926/16/I-NB
  • Dec. 2018 – Jul. 2020 EO Science For Society, ESA/Contract 4000125043/18/I-NB - ESA/AO/1-9101/17/I-NB EO SCIENCE FOR SOCIETY, Pre-operational Sentinel-3 Snow and Ice Products (SICE)
  • Jan. 2019 – Dec. 2020 ESA PRODEX, An operational service of new Sentinel-3 algorithms for climate monitoring of the Greenland Cryosphere within the CryoClim network
  • May 2021 - June 2023 ESA PRODEX, Seamless Integration of Sentinel-3 Albedos in a Weather-modelling System (SISAWS)
  • Feb 2022 - Oct. 2023 ESA EO Science For Society, Snow and ICE optical and physical properties from Sentinel-3 (SICE), ESA CCN contract 4000125043/18/I-NB
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    15,211 to 15,220 of 20,140 Results
    Network Common Data Form - 164.0 KB - MD5: 0653882c796f8b87c8fb2aab9898f136
    SICEv2.3.2 output: SICEv2.3.2_FransJosefLand_1000m_2022_04_26.nc, date: 2022-04-26
    Network Common Data Form - 155.2 KB - MD5: 6ce93280a40aa1fa17ce4f997fcd8b04
    SICEv2.3.2 output: SICEv2.3.2_FransJosefLand_1000m_2022_04_27.nc, date: 2022-04-27
    Network Common Data Form - 61.3 KB - MD5: b90b20dcfb3084e8b19f960a0422f84d
    SICEv2.3.2 output: SICEv2.3.2_FransJosefLand_1000m_2022_04_28.nc, date: 2022-04-28
    Network Common Data Form - 140.6 KB - MD5: 224f9211ad418e0e747083a38f4a9450
    SICEv2.3.2 output: SICEv2.3.2_FransJosefLand_1000m_2022_04_29.nc, date: 2022-04-29
    Network Common Data Form - 115.7 KB - MD5: 052a14d3efcfe098ac7f2d28fb067a7d
    SICEv2.3.2 output: SICEv2.3.2_FransJosefLand_1000m_2022_04_30.nc, date: 2022-04-30
    Network Common Data Form - 106.8 KB - MD5: 484e746c9ba01e12a29ce5eb9d33eb01
    SICEv2.3.2 output: SICEv2.3.2_FransJosefLand_1000m_2022_05_01.nc, date: 2022-05-01
    Network Common Data Form - 148.0 KB - MD5: e97a674978bd1e53b7e90b6146695c65
    SICEv2.3.2 output: SICEv2.3.2_FransJosefLand_1000m_2022_05_02.nc, date: 2022-05-02
    Network Common Data Form - 103.1 KB - MD5: f873ff606edc1b5c92f9dfe8ba6d8a6f
    SICEv2.3.2 output: SICEv2.3.2_FransJosefLand_1000m_2022_05_03.nc, date: 2022-05-03
    Network Common Data Form - 93.9 KB - MD5: 2a12846e8456978500b7bc362b1eb498
    SICEv2.3.2 output: SICEv2.3.2_FransJosefLand_1000m_2022_05_04.nc, date: 2022-05-04
    Network Common Data Form - 126.6 KB - MD5: 007c093fea4958f4c99158c569666118
    SICEv2.3.2 output: SICEv2.3.2_FransJosefLand_1000m_2022_05_05.nc, date: 2022-05-05
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