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Daytime Cloud Type for Himawari-8/9 (HIM_CLD_Day_Type) 

Ver: 1.0
Status of Data: onGoing
Update Frequency: annually
Security Classification: unclassified
Record Last Modified: 2026-03-10
Viewed 0 times
Accessed 0 times
Dataset Created: 2025-12-11
Dataset Published: 2026-03-10
Data can be accessed from the following links:
HTTPPoint-of-truth metadata URLOPeNDAPNetCDF filesWMSDaytime Cloud Type for Himawari-8/9HTTPro-crate-metadata.json
How to cite this collection:
Qin, Y., McVicar, T., Bridgart, R., Prata, A., Cai, D., Dino, A. & Van Niel, T. (2026). Daytime Cloud Type for Himawari-8/9 (HIM_CLD_Day_Type). Version 1.0. Terrestrial Ecosystem Research Network. Dataset. https://dx.doi.org/10.25901/v0vf-x287 
This cloud type product is part of the daytime cloud mask and properties collection, which was generated for daytime Himawari-8/9 imagery using the Qin et al. (2019) algorithm for the Australian continent and surrounding waters. The product is provided here in a regular latitude/longitude grid. It is also available in the original Himawari (geostationary) projection (WGS84, sub-satellite longitude = 140.7°E and satellite altitude = 35785863 meters). Please contact the authors for accessing the data, which is located on the Australian National Computational Infrastructure (NCI). Currently, a near-real-time algorithm/processor is being developed to improve data availability, and to extend production to Himawari-10 (2028-2045). 
Credit
We at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging. We at the Terrestrial Ecosystem Research Network (TERN) acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging. This work was funded by TERN, an Australian Government NCRIS (National Collaborative Research Infrastructure Strategy) enabled project, and is supported using TERN infrastructure. The research was undertaken at CSIRO (Commonwealth Scientific and Industrial Research Organisation) collaboratively among research units (Environment, Energy, Agriculture and Food). The authors acknowledge the resources and services received from NCI and CSIRO HPC (High Performance Computing). We appreciate the support by Japan Meteorology Agency (JMA) and Australian Bureau of Meteorology (BoM) in providing Himawari data. 
Purpose
The Himawari satellite series offers a unique opportunity to monitor sub-daily processes on Earth and in its atmosphere over Asia and Oceania, due to its unprecedented 10-minute temporal resolution as well as improved spatial and spectral resolutions compared to the previous generations of Japanese geostationary satellites and sensors (i.e., MTSAT series) which Australian researchers are kindly provided access through a JMA-BoM agreement. This product provides a classification of the prevailing cloud on a pixel (~2 km) level, based on the OPAC (optical properties of aerosol and cloud) models. When there is no cloud a tentative classification of aerosol is provided. This product may be used together with the cloud / aerosol optical thickness product (HIM_CLD_Day_OD). 
Lineage
As part of the cloud mask and properties collection, this product was generated using an algorithm independently developed by CSIRO based on a time-series analysis approach. Discussion of the algorithm can be found in Qin et al. (2019). Cloud type as seen by AHI. Cloud types are defined as the OPAC cloud types and are represented as integers here as listed below:
  • 10 cirrus_-20
  • 11 cirrus_-50
  • 12 cirrus_-50_small
  • 13 cumulus_cont_clean
  • 14 cumulus_cont_poll
  • 15 cumulus_maritime
  • 16 fog
  • 17 stratus_cont
  • 18 stratus_maritime
See Qin et al. (2019) for full details. 
Method DocumentationQin, Y., Steven, A.D.L., Schroeder, T., McVicar, T.R., Huang, J., Cope, M. and Zhou, S.Z. (2019) Cloud cover in the Australian region: Development and validation of a cloud masking, classification and optical depth retrieval algorithm for the Advanced Himawari Imager. Frontiers in Environmental Science. 7(20) doi:10.3389/fenvs.2019.00020
Procedure StepsData not provided.
Spatial Description
Australian continent and surrounding waters 
Temporal Coverage
From 2015-07-01 to on going 
Spatial Resolution

Angular Distance of 0.02 Degrees

Vertical Extent

Data not provided.

Data Quality Assessment Scope
Assessment of data quality was conducted by comparing spatial distribution of cloud types with that of ISCCP (International Satellite Cloud Climatology Project). 
Cloud cover in the Australian region: Development and validation of a cloud masking, classification and optical depth retrieval algorithm for the Advanced Himawari Imager.
Data Quality Assessment Outcome
The evaluation shows that cloudy type spatial distributions of both datasets are largely consistent with each other. Please see Qin et al. (2019) for full details. 
ANZSRC - FOR
Atmospheric radiation
Photogrammetry and remote sensing
GCMD Sciences
ATMOSPHERE - CLOUD PROPERTIES
ATMOSPHERE - CLOUD TYPES
Horizontal Resolution
1 km - < 10 km or approximately .01 degree - < .09 degree
Instruments
Advanced Himawari Imager
Parameters
cloud type
Platforms
Himawari-8
Himawari-9
Temporal Resolution
1 minute - < 1 hour
Topic
climatologyMeteorologyAtmosphere
environment
Author
Qin, Yi
Co-Author
McVicar, Tim R
Bridgart, Robert
Prata, Andrew
Cai, Dejun
Dino, Aarond
Van Niel, Thomas G
Contact Point
McVicar, Tim R
Van Niel, Thomas G
Dino, Aarond
Cai, Dejun
Prata, Andrew
Bridgart, Robert
Qin, Yi
Publisher
Terrestrial Ecosystem Research Network
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Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia.
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Creative Commons Attribution 4.0 International Licence
https://creativecommons.org/licenses/by/4.0/
Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}. 
TERN services are provided on an "as-is" and "as available" basis. Users use any TERN services at their discretion and risk. They will be solely responsible for any damage or loss whatsoever that results from such use including use of any data obtained through TERN and any analysis performed using the TERN infrastructure.
Web links to and from external, third party websites should not be construed as implying any relationships with and/or endorsement of the external site or its content by TERN.

Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting 

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