GCOM-C/SGLI L3 Binned Normalized water leaving radiance (NWLR L670) (1-Day,1/24 deg)

  • DOI: 10.57746/EO.01gs73b9cfj5mxd9nr6ea68nmk
  • Last Updated: 2023-02-14
Data Progress: In Work
G-Portal

Product Summary

GCOM-C/SGLI L3 Binned Normalized water leaving radiance (NWLR L565) (1-Day,1/24 deg) dataset is obtained from the SGLI sensor onboard GCOM-C and produced by the Japan Aerospace Exploration Agency (JAXA). GCOM-C is Sun-synchronous sub-recurrent Orbit satellite launched on December 23, 2017, which mounts SGLI and conducts long-term global observations of geophysical variables related to the global climate system across 28 items including aerosol and vegetation over 4 areas of atmosphere, land, ocean, and cryosphere. The data will be used to contribute to higher accuracy of global warming prediction. The SGLI has swath of 1150 km in the visible band and 1400 km in the infrared band.
Level 3 products are defined to be products derived from Level 1B and Level 2 products by statistically processing the Level 1B and Level 2 products in time and space domains.
This dataset is daily spatial binning statistics product by reducing the spatial resolution to 1/24 deg with EQA projection.
This dataset includes NWLR_565: the upwelling radiance just above the sea surface at 565 nm and QA_Flag. The physical quantity unit is W/m^2/str/um. The stored statistics values are average (AVE), root-mean-square (RMS), maximum value (MAX), minimum value (MIN), number of input data (Ninput), number of used data (Nused), date of observation (Date), and quality flag (QA_flag).
The provided format is HDF5. The Spatial resolution is 1/24 degree. The statistical period is 1 day, also 8 days and 1 month statistics are available. The projection method is EQA. The generation unit is Global. The current version of the product is Version 3. The Version 2 is also available.

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 OCEAN
Dataset Short Name
GCOM-C_SGLI_L3B_L670_1day_1-24deg
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
L3
Version Description

Version 1, 2018-12-06, Notavailable
Version 2, 2020-11-25, Available
Version 3, 2021-11-29, Available

File Format
HDF5
Dataset Type
1day / Global
Resolution
Spatial Resolution
1/24 deg
Temporal Resolution
1day
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 L3 Binned Normalized water leaving radiance (NWLR L670) (1-Day,1/24 deg)
Distribution Format
HDF5
Fees
Free
Citation
Japan Aerospace Exploration Agency. 2018. GCOM-C/SGLI L3 Binned Normalized water leaving radiance (NWLR L670) (1-Day,1/24 deg). https://doi.org/10.57746/EO.01gs73b9cfj5mxd9nr6ea68nmk
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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
  • Imagery/Base Maps/Earth Cover
  • Environment
  • Climatology/Meteorology/Atmosphere
  • Oceans
Science Keywords
  • EARTH SCIENCE > OCEANS > OCEAN OPTICS > RADIANCE
  • EARTH SCIENCE > OCEANS > OCEAN OPTICS > WATER-LEAVING RADIANCE
Location Keywords
  • GEOGRAPHIC REGION > GLOBAL OCEAN

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.