Validation data of sea ice surface albedo derived from the ACLOUD and AFLUX campaign measurements ...

• Main Authors: Zhou, Yingzhen, Chen, Nan
• Format: Dataset
• Language: English
• Published: PANGAEA 2023
• Subjects: Albedo; Arctic; Sea ice; validation data; LATITUDE; LONGITUDE; ALTITUDE; Albedo at 1240 nm; Albedo at 1640 nm; Albedo at 2130 nm; Albedo at 469 nm; Albedo at 555 nm; Albedo at 645 nm; Albedo at 858.5 nm; Classification; Azimuth angle, satellite; Zenith angle; Solar zenith angle; DATE/TIME; Time difference; Pixel type; File name; Aircraft; Calculated; Moderate-resolution imaging spectroradiometer MODIS; P5_206_ACLOUD_2017; P6_206_ACLOUD_2017; POLAR 5; POLAR 6; albedo
• Online Access: https://dx.doi.org/10.1594/pangaea.960896; https://doi.pangaea.de/10.1594/PANGAEA.960896

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. ...