ADEOS-II/GLI L3 STA Map Cloud fraction (1month,1/4deg)
- DOI: 10.57746/EO.01gs73avnf0getms2pnkwkdsgp
- Last Updated: 2023-02-14
Product Summary
ADEOS-II/GLI L3 STA Map Cloud fraction (1month,1/4deg) is obtained from the GLI (Global-Imager) sensor onboard ADEOS-II and produced by the Japan Aerospace Exploration Agency (JAXA). Global environment change has become a worldwide concern in recent years. In order to clarify these environmental changes, the Advanced Earth Observing Satellite (ADEOS-II, renamed "Midori II" after launch) has been developed for the purpose of monitoring the Earth environment using remote sensing technology from space. Midori II carries mission instruments that are particularly dedicated to clarify the water energy cycle and the carbon cycle, and is expected to be utilized for international climate change research programs.
GLI an optical sensor that observes the reflected solar radiation from the Earth's surface, including land, oceans and clouds and/or infrared radiation with a multi-channel system for measuring the biological content. The SGLI has a swath of 1600 km.
This product is cloud fraction data which classified by the ATSK16 algorithm and cloud property products are used as input.
The cloud shape can be determined by sum of spatial differences between each pixel in an area of 1/4 degreeｘ 1/4 degree in Lat. and Lon., so a high difference means cumulus-type and a low one stratus-type. The physical quantity unit is None.
The cloud information can be used for estimation of surface radiation budget as a research product.
This product is the representative values, which are estimated from level 3 binned products and projected onto map.
The provided format is HDF. The spatial resolution is 1/4 degree and the statistical period is 1 month, also 16 days statistics is available. Map projection is EQR. The generation unit is global. The current version of the product is "Version 2".
- Platform
- ADEOS-II
- Sensor
- GLI
Coverage
Temporal Coverage
2003-01-24 to 2003-10-25
Spatial Coverage
Bounding Rectangle
(90.0°,
-180.0°,
-90.0°,
180.0°)
Resolution
1/4 deg
Location
- GEOGRAPHIC REGION > GLOBAL
- Dataset Short Name
- ADEOS-II_GLI_L3STA_Map_CLFR_1month_1-4deg
- Platform / Sensor
- ADEOS-II / GLI
- Coverage
-
- Spatial Coverage
-
Bounding Rectangle
(90.0°, -180.0°, -90.0°, 180.0°) - Temporal Coverage
- 2003-01-24 to 2003-10-25
- Product Level ID
- L3
- Version Description
Version 1, 2003-12-24, Notavailable
Version 2, 2004-11-01, Available- File Format
- HDF4
- Dataset Type
- 1month / Global
- Resolution
-
- Spatial Resolution
- 1/4 deg
- Temporal Resolution
- 1month
- Dataset Progress
- Complete
- Projection
- EQR
- Collection Data Type
- SCIENCE_QUALITY
- Get Data
- https://gportal.jaxa.jp/gpr/?lang=en
- Dataset Title
- ADEOS-II/GLI L3 STA Map Cloud fraction (1month,1/4deg)
- Distribution Format
- HDF4
- Fees
- Free
- Citation
- Japan Aerospace Exploration Agency. 2003. ADEOS-II/GLI L3 STA Map Cloud fraction (1month,1/4deg). https://doi.org/10.57746/EO.01gs73avnf0getms2pnkwkdsgp
- 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
-
- CLIMATOLOGY/METEOROLOGY/ATMOSPHERE
- Science Keywords
-
- EARTH SCIENCE > ATMOSPHERE > CLOUDS > CLOUD PROPERTIES > CLOUD FREQUENCY
- 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.