Comparison of MODIS and SGLI Albedo Retrievals Over the Sea of Okhotsk (January-May 2021)

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.

Data and Resources

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Cite this as

Zhou, Yingzhen (2024). Dataset: Comparison of MODIS and SGLI Albedo Retrievals Over the Sea of Okhotsk (January-May 2021). https://doi.org/10.1594/PANGAEA.972834

DOI retrieved: 2024

Additional Info

Field Value
Imported on November 30, 2024
Last update November 30, 2024
License CC-BY-4.0
Source https://doi.org/10.1594/PANGAEA.972834
Author Zhou, Yingzhen
Given Name Yingzhen
Family Name Zhou
Source Creation 2024
Publication Year 2024
Subject Areas
Name: Ecology

Related Identifiers
Title: Albedo Retrievals from MODIS Over the Sea of Okhotsk (Validation Data, 2002–2014)
Identifier: https://doi.org/10.1594/PANGAEA.972844
Type: DOI
Relation: References
Year: 2024
Authors: Zhou Yingzhen , Zhou Yingzhen , Chen Nan , Zhou Yingzhen , Li Wei , Chen Nan , Fan Yongzhen , Stamnes Knut .

Title: 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
Identifier: https://doi.org/10.1594/PANGAEA.961709
Type: DOI
Relation: References
Year: 2023
Authors: Zhou Yingzhen , Zhou Yingzhen , Chen Nan , Zhou Yingzhen , Li Wei , Chen Nan , Fan Yongzhen , Stamnes Knut .

Title: A sensor-agnostic albedo retrieval method for realistic sea ice surfaces: model and validation
Identifier: https://doi.org/10.5194/tc-17-1053-2023
Type: DOI
Relation: References
Year: 2023
Source: The Cryosphere
Authors: Zhou Yingzhen , Zhou Yingzhen , Chen Nan , Zhou Yingzhen , Li Wei , Chen Nan , Fan Yongzhen , Stamnes Knut .