GOSAT-GW/AMSR3 L3 Cloud Liquid Water (1-Month,0.10deg,EQR)
- DOI: 10.57746/EO.01hmt9z8hzbrrcr4v8n3ccpqpx
- Last Updated: 2026-07-14
Product Summary
GOSAT-GW/AMSR3 L3 Cloud Liquid Water Content (EQR, 0.10 deg, 1-Month) dataset is obtained from the AMSR3 sensor onboard GOSAT-GW and produced by the Japan Aerospace Exploration Agency (JAXA).
GOSAT-GW was launched by the H-IIA Launch Vehicle No. 50 (H-IIA 50) at 01:33 a.m. on Jun 29th, 2025 (Japan Standard Time, JST). GOSAT-GW equipped with AMSR3 takes measurements at multiple microwave frequencies and multiple polarizations of weak electromagnetic waves in the microwave band radiated from the Earth’s surface and the atmosphere. AMSR3 has swath of 1535 km and 11 microwave bands. The observation data will enable the creation of long-term trustworthy data sets of global physical amount.
Level 3 products are gridded data. They store the brightness tempreture or physical parameters data converted using grid processing and temporally statical processing.
This product includes monthly mean Cloud Liquid Water Content (CLW). CLW product represents amount of vertically accumulated cloud droplet in the atmosphere, and defined as amount of water per unit area. Cloud liquid water is one of essential hydrological parameters describing state of the atmosphere along with precipitation and total precipitable water.
The provided format is NetCDF4. The current version of the product is Version 01A. The physical quantity unit is [kg/m2]. The generation unit is global. The sampling resolution is 0.10 deg. The projection method is EQR.
- Platform
- GOSAT-GW
- Sensor
- AMSR3
Coverage
Temporal Coverage
2025-08-11 to Present
Spatial Coverage
Bounding Rectangle
Resolution
0.10 deg
Location
- GEOGRAPHIC REGION > GLOBAL
- Dataset Short Name
- GOSAT-GW_AMSR3_L3_CLW_1Month_0.10deg_EQR
- Platform / Sensor
- GOSAT-GW / AMSR3
- Coverage
-
- Spatial Coverage
-
Bounding Rectangle
- Temporal Coverage
- 2025-08-11 to Present
- Product Level ID
- L3
- Version Description
Version 01A, 2026-06-30, Available
- File Format
- NetCDF4
- Dataset Type
- Monthly / Global
- Resolution
-
- Spatial Resolution
- 0.10 deg
- Temporal Resolution
- Monthly
- Dataset Progress
- In Work
- Projection
- EQR
- Collection Data Type
- SCIENCE_QUALITY
- Get Data
- https://gportal.jaxa.jp/gpr/?lang=en
- Dataset Title
- GOSAT-GW/AMSR3 L3 Cloud Liquid Water (1-Month,0.10deg,EQR)
- Distribution Format
- NetCDF4
- Fees
- Free
- Citation
- Japan Aerospace Exploration Agency. 2025. GOSAT-GW/AMSR3 L3 Cloud Liquid Water (1-Month,0.10deg,EQR). https://doi.org/10.57746/EO.01hmt9z8hzbrrcr4v8n3ccpqpx
- Access Constraints
-
No constraints but users need to be registered with the G-Portal User Registration system to download files.
- Use Constraints
-
The users are entitled to use, reprocess and redistribute G-Portal data including commercial use for free 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 MICROPHYSICS > CLOUD LIQUID WATER/ICE
- Location Keywords
-
- GEOGRAPHIC REGION > GLOBAL
- ECV and other Keywords
-
- ATMOSPHERE
- CLOUDS
- CLOUD MICROPHYSICS
- CLOUD LIQUID WATER/ICE
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.
ECV Keywords hosts a physical, chemical or biological variable or a group of linked variables that critically contributes to the characterization of Earth's climate.
| Date | Description of Change |
|---|---|
| 2026-06-30 | Published and assigned a DOI. |