Dataset
QA4ECV Polar sea-ice spectral albedo (2000-2016)
Abstract
The Quality Assurance for Essential Climate Variables (QA4ECV) project produced four daily polar sea-ice products, each with a different averaging time window (24 hours, 7 days, 15 days, 31 days). For each time window, the number of samples, mean and standard deviation of Multi-angle Imaging SpectroRadiometer (MISR) cloud-free sea ice albedo was calculated. These products are on a predefined polar stereographic grid at three spatial resolutions (1 km, 5 km, 25 km). The time span of the generated sea ice albedo covers the months between March and September of each year from 2000 to 2016 inclusive.
If publishing results based on this dataset, please cite the following: S. Kharbouche and J.-P. Muller, “Sea Ice Albedo from MISR and MODIS: Production, Validation, and Trend Analysis,” Remote Sensing, vol. 11,no. 1, p. 9, Dec. 2018. DOI: 10.3390/rs11010009. URL:http://www.mdpi.com/2072-4292/11/1/9
Details
Previous Info: |
No news update for this record
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Previously used record identifiers: |
No related previous identifiers.
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Access rules: |
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence(s): http://creativecommons.org/licenses/by/4.0/ When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record. |
Data lineage: |
Data are provided by the QA4ECV project for archival with CEDA. Data are in NetCDF format. If publishing results based on this dataset, please cite the following: S. Kharbouche and J.-P. Muller, “Sea Ice Albedo from MISR and MODIS: Production, Validation, and Trend Analysis,” Remote Sensing, vol. 11,no. 1, p. 9, Dec. 2018. DOI: 10.3390/rs11010009. URL:http://www.mdpi.com/2072-4292/11/1/9 |
Data Quality: |
Data as provided by the QA4ECV project, archived at CEDA
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File Format: |
These data are in NetCDF format
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Process overview
Instrument/Platform pairings
Multi-angle Imaging SpectroRadiometer (MISR) | Deployed on: Terra Satellite, part of the Earth Observation System Morning Constellation (EOS-AM) |
Mobile platform operations
Mobile Platform Operation 1 | Terra Satellite orbit details |
Instrument/Platform pairings
Moderate Resolution Imaging Spectroradiometer (MODIS) | Deployed on: Terra Satellite, part of the Earth Observation System Morning Constellation (EOS-AM) |
Mobile platform operations
Mobile Platform Operation 1 | Terra Satellite orbit details |
Instrument/Platform pairings
Moderate Resolution Imaging Spectroradiometer (MODIS) | Deployed on: Terra Satellite, part of the Earth Observation System Morning Constellation (EOS-AM) |
Mobile platform operations
Mobile Platform Operation 1 | Terra Satellite orbit details |
Computation Element: 1
Title | QA4ECV computation to produce polar sea-ice data |
Abstract | This dataset was created using a specially processed MISR sea ice albedo product (that was generated at Langley Research Center using Rayleigh correction) combining this with a cloud mask of a sea ice mask product, MOD29, which is derived from the MODerate Resolution Imaging Spectroradiometer (MODIS), which is also, like MISR, onboard the Terra satellite. Four daily sea ice products have been created, each with a different averaging time window (24 h, 7 days, 15 days, 31 days). For each time window, the number of samples, mean and standard deviation of MISR cloud-free sea ice albedo is calculated. These products are on a predefined polar stereographic grid at three spatial resolutions (1 km, 5 km, 25 km). |
Input Description | None |
Output Description | None |
Software Reference | None |
Output Description | None |
Output Description | None |
Output Description | None |
- var_id: BHR_Blue.avr
- var_id: BHR_Blue.num
- var_id: BHR_Blue.std
- var_id: BHR_Green.avr
- var_id: BHR_Green.num
- var_id: BHR_Green.std
- var_id: BHR_Nir.avr
- var_id: BHR_Nir.num
- var_id: BHR_Nir.std
- var_id: BHR_Red.avr
- var_id: BHR_Red.num
- var_id: BHR_Red.std
- var_id: Ice_Surface_Temperature
- var_id: Sea_Ice_by_Reflectance
- var_id: land_mask
Co-ordinate Variables
Temporal Range
2000-03-31T23:00:00
2016-09-30T13:03:52
Geographic Extent
90.0000° |
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-180.0000° |
180.0000° |
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-90.0000° |