Zhou, Yingzhen; Chen, Nan (2023): 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 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.961709
Always quote citation above when using data! You can download the citation in several formats below.
Abstract:
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.
Supplement to:
Zhou, Yingzhen; Li, Wei; Chen, Nan; Fan, Yongzhen; Stamnes, Knut (2023): A sensor-agnostic albedo retrieval method for realistic sea ice surfaces: model and validation. The Cryosphere, 17(2), 1053-1087, https://doi.org/10.5194/tc-17-1053-2023
Related to:
Zhou, Yingzhen; Chen, Nan (2023): Validation data of sea ice surface albedo derived from the ACLOUD and AFLUX campaign measurements. PANGAEA, https://doi.org/10.1594/PANGAEA.960896
Source:
Jäkel, Evelyn; Ehrlich, André; Schäfer, Michael; Wendisch, Manfred (2018): Aircraft measurements of up- and downward irradiances over Arctic sea ice during the ACLOUD campaign. PANGAEA, https://doi.org/10.1594/PANGAEA.891588
Stapf, Johannes; Ehrlich, André; Wendisch, Manfred (2021): Cloud radiative forcing, LWP and cloud-free albedo derived from airborne broadband irradiance observations during the AFLUX and ACLOUD campaign. PANGAEA, https://doi.org/10.1594/PANGAEA.932010
Coverage:
Median Latitude: 78.245874 * Median Longitude: 15.502927 * South-bound Latitude: 78.245757 * West-bound Longitude: 15.501260 * North-bound Latitude: 78.245985 * East-bound Longitude: 15.504160
Date/Time Start: 2017-05-31T15:09:00 * Date/Time End: 2017-06-26T14:57:00
Minimum ALTITUDE: 30 m * Maximum ALTITUDE: 349 m
Event(s):
P5_206_ACLOUD_2017_1705311101 (RF10) * Latitude Start: 78.245757 * Longitude Start: 15.503909 * Latitude End: 78.245778 * Longitude End: 15.504160 * Date/Time Start: 2017-05-31T14:52:36 * Date/Time End: 2017-05-31T19:04:34 * Campaign: P5_206_ACLOUD_2017 (ACLOUD) * Basis: POLAR 5 * Method/Device: Aircraft (AC)
P5_206_ACLOUD_2017_1706081401 (RF14) * Latitude Start: 78.245759 * Longitude Start: 15.504153 * Latitude End: 78.245788 * Longitude End: 15.504069 * Date/Time Start: 2017-06-08T07:22:08 * Date/Time End: 2017-06-08T12:59:06 * Campaign: P5_206_ACLOUD_2017 (ACLOUD) * Basis: POLAR 5 * Method/Device: Aircraft (AC)
P5_206_ACLOUD_2017_1706141701 (RF17) * Latitude Start: 78.245817 * Longitude Start: 15.504055 * Latitude End: 78.245817 * Longitude End: 15.503928 * Date/Time Start: 2017-06-14T12:33:49 * Date/Time End: 2017-06-14T18:48:09 * Campaign: P5_206_ACLOUD_2017 (ACLOUD) * Basis: POLAR 5 * Method/Device: Aircraft (AC)
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | LATITUDE | Latitude | Geocode – ACLOUD flight | |||
| 2 | LONGITUDE | Longitude | Geocode – ACLOUD flight | |||
| 3 | ALTITUDE | Altitude | m | Geocode – flight altitude | ||
| 4 | Albedo at 400-700 nm | Alb_VIS(400-700) | measured during flight | |||
| 5 | Albedo at 700-2100 nm | Alb_NIR(700-2100) | measured during flight | |||
| 6 | Albedo at 400-2100 nm | Alb_SW(400-2100) | measured during flight | |||
| 7 | DATE/TIME | Date/Time | Geocode – ACLOUD flight | |||
| 8 | Time difference | Time diff | h | |||
| 9 | Radiance, upward at 1240 nm | Lu_1240 | W/m2/µm/sr | |||
| 10 | Radiance, upward at 1640 nm | Lu_1640 | W/m2/µm/sr | |||
| 11 | Radiance, upward at 2130 nm | Lu_2130 | W/m2/µm/sr | |||
| 12 | Radiance, upward at 469 nm | Lu_469 | W/m2/µm/sr | |||
| 13 | Radiance, upward at 555 nm | Lu_555 | W/m2/µm/sr | |||
| 14 | Radiance, upward at 645 nm | Lu_645 | W/m2/µm/sr | |||
| 15 | Radiance, upward at 858.5 nm | Lu_858.5 | W/m2/µm/sr | |||
| 16 | LATITUDE | Latitude | Geocode – of MODIS pixel | |||
| 17 | LONGITUDE | Longitude | Geocode – of MODIS pixel | |||
| 18 | Classification | Classification | surface classification type | |||
| 19 | Azimuth angle, satellite | az | deg | relative | ||
| 20 | Zenith angle | ZA | deg | of sensor | ||
| 21 | Solar zenith angle | SZA | deg | |||
| 22 | Pixel type | Pixel type | ||||
| 23 | Albedo at 400-700 nm | Alb_VIS(400-700) | derived using scientific machine learning algorithm | |||
| 24 | Albedo at 700-2100 nm | Alb_NIR(700-2100) | derived using scientific machine learning algorithm | |||
| 25 | Albedo at 400-2100 nm | Alb_SW(400-2100) | derived using scientific machine learning algorithm | |||
| 26 | File name | File name | of matched file |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0) (License comes into effect after moratorium ends)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
94200 data points
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