GCOM-C/SGLI L2 Global-AeRosol properties using Numerical Prediction
- DOI: 10.57746/EO.01gs73b3yz4z4h4vm08n87kkm2
- Last Updated: 2024-03-21
Product Summary
GCOM-C/SGLI L2 Global-AeRosol properties using Numerical Prediction dataset is obtained from the SGLI sensor onboard GCOM-C and produced by the Japan Aerospace Exploration Agency (JAXA).
GCOM-C is a Sun-synchronous sub-recurrent orbit satellite launched on December 23, 2017. It mounts SGLI sensor to observe long-term geophysical conditions based on 28 variables, including aerosol and vegetation, out of four Earth subsystems: atmosphere, land, ocean, and cryosphere. These data are helpful to improve the global warming prediction accuracy. The SGLI has a swath of 1150 km in the visible band and 1400 km in the infrared band. Level 2 products consist of derived physical variables based on Level 1B products, such as meteorological data.
The contents are listed in the following:
AROT: Aerosol Optical Thickness over land and ocean at 500 nm (dimensionless).
ARAE: Angstrom Exponent over land and ocean at 500 nm and 380 nm (dimensionless).
ASSA: Single Scattering Albedo over land and ocean at 380 nm (dimensionless).
AROT_uncertainty, AROT_uncertainty, AROT_uncertainty: The uncertainties of AROT, ARAE and ASSA, respectively (dimensionless).
The utilized aerosol optical model for the retrieval is the same for both over land and ocean, and the coefficients are based on the skyradiometer observations. While the particle shapes, real parts of complex refraction indices, and size distributions of large and small particles are assumed to be fixed, the fraction of small particles and complex refraction indices (in terms of SSA) vary. The algorithm assumes reasonable aerosol parameters for the SGLI observations and derives the contents of this dataset.
The provided format is HDF5. The spatial and temporal resolutions are 1/24 deg and daily, respectively. The projection method is EQA. The spatial coverage is Global. The current version of the product is Version 3. The Version 2 is also available, note that the QA_Flag data has been updated.
- Platform
- GCOM-C
- Sensor
- SGLI
Coverage
Temporal Coverage
2018-01-01 to Present
Spatial Coverage
Bounding Rectangle
(90.0°,
-180.0°,
-90.0°,
180.0°)
Resolution
1/24 deg
Location
- GEOGRAPHIC REGION > GLOBAL
- Dataset Short Name
- GCOM-C_SGLI_L2_global-ARNP
- Platform / Sensor
- GCOM-C / SGLI
- Coverage
-
- Spatial Coverage
-
Bounding Rectangle
(90.0°, -180.0°, -90.0°, 180.0°) - Temporal Coverage
- 2018-01-01 to Present
- Product Level ID
- L2
- Version Description
Version 1, 2018-12-06, Notavailable
Version 2, 2020-06-29, Available
Version 3, 2021-11-29, Available- File Format
- HDF5
- Dataset Type
- None / Global
- Resolution
-
- Spatial Resolution
- 1/24 deg
- Temporal Resolution
- None
- Dataset Progress
- In Work
- Projection
- EQA
- Collection Data Type
- SCIENCE_QUALITY
- Get Data
- https://gportal.jaxa.jp/gpr/?lang=en
- Dataset Title
- GCOM-C/SGLI L2 Global-AeRosol properties using Numerical Prediction
- Distribution Format
- HDF5
- Fees
- Free
- Citation
- Japan Aerospace Exploration Agency. 2018. GCOM-C/SGLI L2 Global-AeRosol properties using Numerical Prediction. https://doi.org/10.57746/EO.01gs73b3yz4z4h4vm08n87kkm2
- Access Constraints
No constraints but users need to be registered with the G-portal User Registration system to download files.
- Use Constraints
The user is entitled to use G-Portal data free of charge without any restrictions (including commercial use) except for the condition about acknowledgement of data credit as stipulated in G-portal terms of use 7.(2).Click here for detailed G-Portal data usage constrains.
- G-Portal Terms of service
- https://gportal.jaxa.jp/gpr/index/eula?lang=en
- ISO Topic Categories
-
- Environment
- Imagery/Base Maps/Earth Cover
- Climatology/Meteorology/Atmosphere
- Science Keywords
-
- EARTH SCIENCE > ATMOSPHERE > AEROSOLS > AEROSOL OPTICAL DEPTH/THICKNESS
- EARTH SCIENCE > ATMOSPHERE > AEROSOLS > AEROSOL OPTICAL DEPTH/THICKNESS
- Location Keywords
-
- GEOGRAPHIC REGION > GLOBAL
ISO Topic Categories is the keywords in the ISO 19115 - Geographic Information Metadata.
Science Keywords hosts Global Change Master Directory (GCMD) Keywords which are a hierarchical set of controlled Earth Science vocabularies that help ensure Earth science data, services, and variables are described in a consistent and comprehensive manner and allow for the precise searching of metadata and subsequent retrieval of data, services, and variables.