Sub-hourly Land Surface Temperature - Himawari/AHI, Split-window Algorithm with Solar Zenith Angle-based Calibration, Australia Coverage, 2015-2023
This geostationary land surface temperature (LST) collection was retrieved using Himawari/AHI observations and calibrated against MODerate-resolution Imaging Spectroradiometer (MODIS) best-quality retrievals for Australia. It was developed under an academic collaboration between the Australian National University (ANU) and the Commonwealth Scientific and Industrial Research Organisation (CSIRO). It has a spatial resolution of 2 km and temporal frequency of 10 min, and has been periodically updated since its inception in July 2015. This record has a temporal length of 8.5 years (i.e., Jul 2015 - Dec 2023) and the subsequent updates will be published annually.
Simple
Identification info
- Date (Creation)
- 2023-07-10
- Date (Publication)
- 2024-08-25
- Date (Revision)
- 2024-09-23
- Edition
- 1.0
Identifier
Publisher
Author
Co-author
Co-author
Co-author
Co-author
Co-author
Co-author
- Website
- https://www.tern.org.au/
- Purpose
- <p>The Himawari-8/9 satellites offer a unique opportunity to monitor sub-daily thermal dynamics over Asia and Oceania, and several operational LST retrieval algorithms have been developed for this purpose. However, studies have reported inconsistency between LST data obtained from geostationary and polar-orbiting platforms, particularly for daytime LST, which usually shows directional artifacts and can be strongly impacted by viewing and illumination geometries and shadowing effects. To overcome this challenge, we developed this collection, which utilised Solar Zenith Angle (SZA) as an ideal physical variable to quantify systematic differences between platforms. This LST collection demonstrated better consistency with LST obtained from both polar-orbiting platforms and ground-based measurements.</p>
- 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.
- Credit
- <p>This work was undertaken under an academic collaboration between the Australian National University (ANU) and the Commonwealth Scientific and Industrial Research Organisation (CSIRO). We thank the continued support of the TERN Landscapes Observatory (https://www.tern.org.au/tern-observatory/tern-landscapes/), a sensing platform of the Terrestrial Ecosystem Research Network (TERN; https://www.tern.org.au/), which is supported and enabled by the Australian Government through the National Collaborative Research Infrastructure Strategy (NCRIS). We acknowledge the resources and services provided by the National Computational Infrastructure (NCI), which is also supported by the Australian Government through NCRIS. This work was supported by resources and expertise provided by CSIRO IMT Scientific Computing.</p>
- Status
- Completed
Point of contact
- Topic category
-
- Climatology, meteorology, atmosphere
- Environment
Extent
Temporal extent
- Time period
- 2015-07-07 2023-12-31
- Maintenance and update frequency
- Annually
- GCMD Science Keywords
- ANZSRC Fields of Research
- TERN Platform Vocabulary
- TERN Instrument Vocabulary
- TERN Parameter Vocabulary
- QUDT Units of Measure
- GCMD Horizontal Resolution Ranges
- GCMD Temporal Resolution Ranges
Resource constraints
- Use limitation
- The Creative Commons Attribution 4.0 International (CC BY 4.0) license allows others to copy, distribute, display, and create derivative works provided that they credit the original source and any other nominated parties. Details are provided at https://creativecommons.org/licenses/by/4.0/
- File name
- 88x31.png
- File description
- CCBy Logo from creativecommons.org
- File type
- png
- Title
- Creative Commons Attribution 4.0 International Licence
- Alternate title
- CC-BY
- Edition
- 4.0
- Access constraints
- License
- Use constraints
- Other restrictions
- Other constraints
- 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. <br />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. <br /><br />Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting
- Other constraints
- Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.
Resource constraints
- Classification
- Unclassified
Distribution Information
Distributor
Distributor
- Distribution format
-
- OnLine resource
- Himawari-ANU, Land Surface Temperature Calibration - Data
- OnLine resource
-
Sub-hourly Land Surface Temperature - Himawari/AHI
lst_himawari
- OnLine resource
- ro-crate-metadata.json
Data quality info
- Hierarchy level
- Dataset
- Other
- This LST collection was evaluated against Terra-, Aqua-MODIS and VIIRS LST, as well as in-situ LST from the <a href="https://www.ozflux.org.au/">OzFlux network</a>.
Report
Result
- Statement
- The median daytime bias (ubRMSE) of this collection against Terra-, Aqua-MODIS and VIIRS LST was 1.52 (2.75) K, 0.98 (2.44) K and -0.63 (2.94) K, respectively. In the evaluation against in-situ LST, the overall mean values of bias (ubRMSE) during daytime and nighttime were 1.41 (3.24) K and -0.06 (2.77) K based on 171,289 and 209,304 hourly samples, respectively, from 20 OzFlux sites across Australia between 01/Jan/2016 and 31/Dec/2020.
Resource lineage
- Statement
- <p>This LST collection was developed using a split-window algorithm, with its daytime component operationally adjusted using an SZA-based Calibration (SZAC) method. SZAC describes the spatial heterogeneity and magnitude of diurnal LST discrepancies from different products. The SZAC coefficient was spatiotemporally optimised against highest-quality assured (error <1 K) pixels from the MODIS daytime LST between 01/Jan/2016 and 31/Dec/2020.</p> See the method documentation for details.
- Hierarchy level
- Dataset
- Title
- Yu, Y., Renzullo, L. J., McVicar, T. R., Van Niel, T. G., Cai, D., Tian, S. and Ma, Y. (2023). Solar zenith angle-based calibration of Himawari-8 land surface temperature based on MODIS spatiotemporal characteristics. ESS Open Archive.
- Website
-
https://doi.org/10.22541/essoar.170110655.56133673/v1
Method documentation
- Title
- Solar zenith angle-based calibration of Himawari-8 land surface temperature for correcting diurnal retrieval error characteristics
- Website
-
https://doi.org/10.1016/j.rse.2024.114176
Method documentation
Reference System Information
- Reference system identifier
- EPSG/EPSG:4326
- Reference system type
- Geodetic Geographic 2D
Metadata
- Metadata identifier
-
urn:uuid/cb9cc60c-3e09-40d0-a32c-39f13723b00a
- Title
- TERN GeoNetwork UUID
- Language
- English
- Character encoding
- UTF8
Point of contact
Type of resource
- Resource scope
- Dataset
- Metadata linkage
-
https://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/cb9cc60c-3e09-40d0-a32c-39f13723b00a
Point-of-truth metadata URL
- Date info (Creation)
- 2024-01-22T00:00:00
- Date info (Revision)
- 2024-09-23T00:00:00
Metadata standard
- Title
- ISO 19115-1:2014/AMD 1:2018 Geographic information - Metadata - Fundamentals
- Edition
- 1
Metadata standard
- Title
- ISO/TS 19115-3:2016
- Edition
- 1.0
Metadata standard
- Title
- ISO/TS 19157-2:2016
- Edition
- 1.0
- Title
- Terrestrial Ecosystem Research Network (TERN) Metadata Profile of ISO 19115-3:2016 and ISO 19157-2:2016
- Date (published)
- 2021
- Edition
- 1.0