de.pangaea.dataset972834 und dataset PANGAEA
info@pangaea.de
https://www.pangaea.de/ information pointOfContact 2026-04-30T21:04:56Z https://doi.pangaea.de/10.1594/PANGAEA.972834 <gco:CharacterString>Comparison of MODIS and SGLI Albedo Retrievals Over the Sea of Okhotsk (January-May 2021)</gco:CharacterString> 2024-10-07T06:40:47 publication https://doi.org/10.1594/PANGAEA.972834 Zhou, Yingzhen
yingzhenzhou0@outlook.com
https://orcid.org/0000-0002-9004-9224 information author PANGAEA
info@pangaea.de
https://www.pangaea.de/ information publisher tableDigital This dataset contains surface shortwave albedo retrieval and surface classification data derived from both MODIS and SGLI satellite sensors over the Sea of Okhotsk, covering the period from January to May 2021. The data is stored in NetCDF format and standardized on a 1-km grid, allowing for direct pixel-to-pixel comparison. The dataset consists of albedo values and surface classifications, enabling an in-depth analysis of retrieval consistency and discrepancies between the two sensors. Data were averaged over weekly time periods for valid sea-ice pixels. The specific dates for each weekly period are provided. The retrieval algorithm is described in https://doi.org/10.5194/tc-17-1053-2023. completed Albedo Okhotsk Sea Sea ice theme <gco:CharacterString>PANGAEA Keyword List</gco:CharacterString> 1995-01-01 creation PANGAEA
info@pangaea.de
https://www.pangaea.de/ information pointOfContact copyright copyright CC-BY-4.0: Creative Commons Attribution 4.0 International textTable und geoscientificInformation 135.0 165.0 40.0 64.0 2021-01-08T00:00:00 2021-05-12T00:00:00 The dataset includes the following variables: 1. MODIS_SW_albedo: Albedo values retrieved from the MODIS sensor using the SciML albedo retrieval algorithm. Values are provided for the period January-May 2021 on a grid with a spatial resolution of 1 km. 2. MODIS_mask: Surface classification mask for the MODIS sensor. The mask values correspond to different surface types and features: • 0: Water • 1: Sea-ice • 2: Sea-covered ice 3. SGLI_SW_albedo: Albedo values retrieved from the SGLI sensor using the the SciML albedo retrieval algorithm. These values are provided for the same time period (January-May 2021) and grid as the MODIS data. 4. SGLI_mask: Surface classification mask for the SGLI sensor. The mask uses the same classification scheme as the MODIS mask: • 0: Water • 1: Sea-ice • 2: Sea-covered ice --- Time Periods Covered: The dataset spans eight weekly time intervals, corresponding to the following periods: • 2021-01-08 ~ 2021-01-13 • 2021-01-31 ~ 2021-02-06 • 2021-02-11 ~ 2021-02-17 • 2021-03-05 ~ 2021-03-12 • 2021-03-15 ~ 2021-03-20 • 2021-04-01 ~ 2021-04-07 • 2021-04-22 ~ 2021-04-30 • 2021-05-07 ~ 2021-05-12 Each period represents a weekly aggregate of albedo and surface classification data from both sensors, averaged where valid sea-ice pixels were present. --- Format: The dataset is provided in NetCDF format (.nc), which can be read and analyzed using common geospatial and scientific data tools such as Python's xarray or Panoply. application/x-hdf unknown https://download.pangaea.de/dataset/972834/files/All_SGLI_MODIS_Okhotsk_2021.nc download dataset The data set was checked for completeness, correctness, and consistency of metainformation. Validity of used methods was checked and - if applicable - precision and range of data. EVENT LABEL: Sea_of_Okhotsk_2021 * LATITUDE START: 40.000000 * LONGITUDE START: 135.000000 * LATITUDE END: 64.000000 * LONGITUDE END: 165.000000 * DATE/TIME START: 2021-01-08T00:00:00 * DATE/TIME END: 2021-05-12T00:00:00 * LOCATION: Okhotsk Sea * METHOD/DEVICE: Satellite remote sensing 2021-01-08T00:00:00 Related to <gco:CharacterString>Albedo Retrievals from MODIS Over the Sea of Okhotsk (Validation Data, 2002–2014)</gco:CharacterString> 2024-01-01 publication https://doi.org/10.1594/PANGAEA.972844 Zhou, Yingzhen
yingzhenzhou0@outlook.com
https://orcid.org/0000-0002-9004-9224 information author documentDigital Related to <gco:CharacterString>Validation data of measured VIS/NIR/SW albedo derived from the ACLOUD campaign and retrieval data (sea ice surface albedo and surface classification) from MODIS</gco:CharacterString> 2023-01-01 publication https://doi.org/10.1594/PANGAEA.961709 Zhou, Yingzhen
yingzhenzhou0@outlook.com
https://orcid.org/0000-0002-9004-9224 information author Chen, Nan author documentDigital Related to <gco:CharacterString>A sensor-agnostic albedo retrieval method for realistic sea ice surfaces: model and validation</gco:CharacterString> 2023-01-01 publication https://doi.org/10.5194/tc-17-1053-2023 Zhou, Yingzhen
yingzhenzhou0@outlook.com
https://orcid.org/0000-0002-9004-9224 information author Li, Wei
wli4@stevens.edu
author Chen, Nan author Fan, Yongzhen author Stamnes, Knut https://orcid.org/0000-0002-8880-6070 information author documentDigital The Cryosphere 17(2) 1053-1087