SICEv2.3.2 Beaufort snow and ice broadband albedo and surface optical properties from Sentinel-3’s OLCI at 1000 m resolution, 2017-2023

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Wehrlé, Adrien; Box, Jason; Vandecrux, Baptiste; Mankoff, Ken; Bahbah, Rasmus, 2023, "SICEv2.3.2 Beaufort snow and ice broadband albedo and surface optical properties from Sentinel-3’s OLCI at 1000 m resolution, 2017-2023", https://doi.org/10.22008/FK2/DZHBP5, GEUS Dataverse, V1
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Description
SICE v2.3.2. Multi-regional 1 km Arctic land ice SSA, broadband albedo and spectral reflectance for 2017 to 2023

Timespan

1 April, to 31 September for each year 2017 to 2023 and is being updated starting ~April each year

Description

For multiple Arctic glaciated regions (Table 1), 1km daily data (Table 2) from the SICE v1.6 algorithm, see Wehrlé et al (2021) and Kokhanovsky et al (2019) for details. Broadband albedo "albedo_bb_planar_sw" is after Kokhanovsky et al (2019). "BBA_combination" is albedo_bb_planar_sw for albedo_bb_planar_sw values above 0.565 and is combined with an ampirical albedo for albedo_bb_planar_sw below or equal to 0.565, see Wehrlé et al (2021). Data format is GeoTiff in the EPSG:3413 - WGS 84 / NSIDC Sea Ice Polar Stereographic North. We suggest using rasterio to read the data files. The data are also available from https://thredds.geus.dk/

Data Format

Data format is GeoTiff in the EPSG:3413 - WGS 84 / NSIDC Sea Ice Polar Stereographic North projection. We suggest using rasterio to read the data files.

  Table 1, SICE regions, sorted by decreasing area region, area, sq km, percent of multi-regional area
  • Greenland, 1,744,666, 82.7
  • Arctic Canada North, 100,691, 4.8
  • Alaska and Yukon, 96,909, 4.6
  • Arctic Canada South, 40,970, 1.9
  • Norway, 34,018, 1.6
  • Svalbard, 32,506, 1.5
  • Novaya Zemlya, 21,506, 1.0
  • Severnaya Zemlya, 15,842, 0.8
  • Frans Josef Land, 12,131, 0.6
  • Iceland, 11,489, 0.5

    • Table 2, SICE v2.3.2 Beaufort data name, description
  • BBA_emp, broadband albedo based on albedo_bb_planar_sw for albedo_bb_planar_sw above 0.565 and based on empirical algorithm for albedo_bb_planar_sw less than 0.565
  • SCDA_final, cloud mask
  • albedo_bb_planar_sw,
  • albedo_spectral_planar_NN, multispectral albedo_spectral_planar, where NN is a number for bands 01-21
  • albedo_spectral_spherical_NN, multispectral albedo_spectral_spherical, where NN is a number for bands 01-21
  • grain_diameter, effective optical snow grain diameter
  • diagnostic_retrieval, per pixel diagnostic info
  • num_scenes, number of scenes
    • li>r_TOA_NN, multispectral TOA reflectance, where NN is a number for bands 01-21
  • r_BRR_NN, multispectral botttom of atmosphere reflectance, where NN is a number for bands 01-21
  • snow_specific_surface_area, SSA
  • SAA, solar azimuth angle
  • SZA, solar zenith angle
  • OAA, observing azimuth angle
  • OZA observing zenith angle
  • O3, OLCI total ozone retrieval corrected for ozone scattering after Kokhanovsky et al 2020

    • Reference Publications

  • 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 HC., Wahl S., Andersen JK., Vandecrux B., van As D., Mankoff KD., Kern M., Zege E., Box JE. 2019. Retrieval of Snow Properties from the Sentinel-3 Ocean and Land Colour Instrument. Remote Sensing 11:2280. https://doi.org/10.3390/rs11192280
  • Kokhanovsky, A., Box, J., and Vandecrux, B.: Pre-operational Sentinel-3 snow and ice (SICE) products: Algorithm theoretical basis document, https://doi.org/10.20944/preprints202009.0529.v1, 23 September 2020.
  • Wehrlé A., Box JE., Niwano M., Anesio AM., Fausto RS. 2021. Greenland bare-ice albedo from PROMICE automatic weather station measurements and Sentinel-3 satellite observations. GEUS Bulletin 47. https://doi.org/10.34194/geusb.v47.5284

    • Code

  • Wehrlé, A., Mankoff, K., Vandecrux, B., and Box, J. E.: Sentinel-3 snow and ice optical properties retrieval (SICE) version 2.3.2, https://doi.org/10.5281/zenodo.10036416, 2023.

    How to gather and read the data

  • see https://github.com/GEUS-SICE/SICE_gather and raise any issues there.

    Related Publications

  • Kokhanovsky A., Lamare M., Di Mauro B., Picard G., Arnaud L., Dumont M., Tuzet F., Brockmann C., Box JE. 2018. On the reflectance spectroscopy of snow. The Cryosphere 12:2371–2382. https://doi.org/10.5194/tc-12-2371-2018

    • Acknowledgements

    SICE has been supported by the following contracts to the European Space Agency (ESA):
  • 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

    • and the ESA Network of Resources,

    Related Information

  • description of variables, inputs and outputs https://github.com/GEUS-SICE/pySICE/tree/pySICEv2.1
  • https://snow.geus.dk/

    • Questions?

    contact Jason Box, jeb@geus.dk
    Subject Earth and Environmental Sciences
    License/Data Use Agreement

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    SICEv2.3.2_Beaufort_1000m_2019_06_06.nc
    2019-06-06/Network Common Data Form - 36.0 MB
    Published Nov 21, 2023
    2 Downloads
    MD5: a51d831e655c5d0f378f165e5bda681d
    SICEv2.3.2 output: SICEv2.3.2_Beaufort_1000m_2019_06_06.nc, date: 2019-06-06
    SICEv2.3.2_Beaufort_1000m_2019_08_02.nc
    2019-08-02/Network Common Data Form - 29.1 MB
    Published Nov 21, 2023
    2 Downloads
    MD5: 2f03bafe886eb4892afadb136f6f2727
    SICEv2.3.2 output: SICEv2.3.2_Beaufort_1000m_2019_08_02.nc, date: 2019-08-02
    SICEv2.3.2_Beaufort_1000m_2020_04_21.nc
    2020-04-21/Network Common Data Form - 28.5 MB
    Published Nov 21, 2023
    2 Downloads
    MD5: 51c633d1cc6b40331e932d97b384e12b
    SICEv2.3.2 output: SICEv2.3.2_Beaufort_1000m_2020_04_21.nc, date: 2020-04-21
    SICEv2.3.2_Beaufort_1000m_2020_04_22.nc
    2020-04-22/Network Common Data Form - 34.0 MB
    Published Nov 21, 2023
    2 Downloads
    MD5: ca0f509f0627c024b008e634f84ea863
    SICEv2.3.2 output: SICEv2.3.2_Beaufort_1000m_2020_04_22.nc, date: 2020-04-22
    SICEv2.3.2_Beaufort_1000m_2020_04_23.nc
    2020-04-23/Network Common Data Form - 31.9 MB
    Published Nov 21, 2023
    2 Downloads
    MD5: 8e3bfca18aa2bcf7d4c220759d8a455c
    SICEv2.3.2 output: SICEv2.3.2_Beaufort_1000m_2020_04_23.nc, date: 2020-04-23
    SICEv2.3.2_Beaufort_1000m_2020_04_24.nc
    2020-04-24/Network Common Data Form - 41.4 MB
    Published Nov 21, 2023
    2 Downloads
    MD5: a6c3bbead059b300872a17c5b3f8ef5b
    SICEv2.3.2 output: SICEv2.3.2_Beaufort_1000m_2020_04_24.nc, date: 2020-04-24
    SICEv2.3.2_Beaufort_1000m_2020_04_25.nc
    2020-04-25/Network Common Data Form - 40.7 MB
    Published Nov 21, 2023
    2 Downloads
    MD5: 72ed304196d5db7d1dfe751dd3c43241
    SICEv2.3.2 output: SICEv2.3.2_Beaufort_1000m_2020_04_25.nc, date: 2020-04-25
    SICEv2.3.2_Beaufort_1000m_2020_04_27.nc
    2020-04-27/Network Common Data Form - 81.6 MB
    Published Nov 21, 2023
    2 Downloads
    MD5: 01b046b1e7715ced945aa82ce4a6e817
    SICEv2.3.2 output: SICEv2.3.2_Beaufort_1000m_2020_04_27.nc, date: 2020-04-27
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