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

Data of the broadband albedo averaged at the MODIS pixel, which was derived from the measurements by either pyrometer (shortwave, in the range of 200-3600 nm) or albedometer (visible in 400-700nm, near infrared in 700-2100, and shortwave in 400-2100) during the ACLOUD and AFLUX campaigns. This data...

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Bibliographic Details
Main Authors: Zhou, Yingzhen, Chen, Nan
Format: Dataset
Language:English
Published: PANGAEA 2023
Subjects:
AC
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.961709
https://doi.org/10.1594/PANGAEA.961709
Description
Summary:Data of the broadband albedo averaged at the MODIS pixel, which was derived from the measurements by either pyrometer (shortwave, in the range of 200-3600 nm) or albedometer (visible in 400-700nm, near infrared in 700-2100, and shortwave in 400-2100) during the ACLOUD and AFLUX campaigns. This data is intended to validate the RTM-SciML (short for radiative transfer model - scientific machine learning model) algorithm, which uses top-of-atmosphere radiance data from MODIS as input to perform albedo retrieval for sea-ice surface. In addition to the satellite and measured data, the pixel type and surface classification retrieved using scientific machine learning models (https://tc.copernicus.org/preprints/tc-2021-397/) are also included.