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Hourly near-surface vapour pressure deficit grids for Australia 

Ver: 3.0
Status of Data: onGoing
Update Frequency: periodic
Security Classification: unclassified
Dataset Published: 2026-08-04
Dataset Last Modified: 2026-08-04
Metadata viewed 0 times
Dataset accessed 0 times
Metadata Created: 2026-07-21
Metadata Last Modified: 2026-08-04
How to cite this collection:
Stewart, S., Cai, D., McVicar, T., Van Niel, T. & Bridgart, R. (2026). Hourly near-surface vapour pressure deficit grids for Australia. Version 3.0. Terrestrial Ecosystem Research Network. Dataset. https://dx.doi.org/10.25901/v4mq-z289 
Data can be accessed from the following links:
HTTPModel-Derived Grids - Vapour Pressure Deficit
HTTPREADME
HTTPPoint-of-truth metadata URL
HTTPro-crate-metadata.json
This collection provides hourly near-surface (1.5 m) vapour pressure deficit grids for Australia with a spatial resolution of 1 km. These data are derived from hourly air temperature and vapour pressure grids that are spatially interpolated using quart-variate thin plate splines (full spline dependence on easting, northing, elevation, and time- and space-varying coastal distance index). This collection includes: (i) a 30-year climatology for every hour on every 5th day of the year (1991-2020), (ii) a time-series of vapour pressure deficit beginning on 01/Jan/2015, and (iii) an animation of the 30-year climatology from (i).

Further details are provided in the README file.
 
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. This work was funded by the Terrestrial Ecosystem Research Network (TERN), an Australian Government NCRIS enabled project, and is supported by the use of TERN infrastructure.


 
Purpose
These data were developed to support numerous scientific applications.
 
Lineage
Vapour pressure deficit is derived from hourly air temperature and vapour pressure grids. Full details of the hourly interpolation methodology are provided in Stewart et al. (2024), including the Supplementary Material.

The original station data were supplied by the METAR data stream from BoM from January 1990 to March 2023 for 621 stations across Australia. A direct spatial interpolation approach (i.e., models are re-fitted for each time step using all available observations and model covariates) was applied to generate air temperature and vapour pressure grids across all Australia using the ANUSPLIN v4.4. software (Hutchinson and Xu, 2013). Two key data products are included in this collection:

1.      Hourly vapour pressure deficit climatologies (every 5th DOY, 1991-2020)
2.      Hourly vapour pressure deficit (every hour, 01/Jan/2015 onwards)

Each are derived from the corresponding hourly air temperature and vapour pressure grids. First, saturation vapour pressure (eₛ) is calculated from air temperature (T) following Tetens (1930):

eₛ = 6.108 exp (17.27T / T+237.3)

The vapour pressure deficit (VPD) is then calculated as:

VPD = max(0, eₛ - eₐ)

Version history:

v3 – Initial publication using the time- and space-varying coastal distance index that optimises the covariate surface by day-of-year and local solar time for both air temperature and vapour pressure. The product version has been set to v3 for consistency with the air temperature product.

References:

Tetens O. 1930. Über einige meteorologische Begriffe (On some meteorological terms). Z. Geophys., 6, 297–309.
 
Method DocumentationStewart SB, McVicar TR, Van Niel TG, Cai D, (2024) Continental scale spatial temporal interpolation of near-surface air temperature: Do 1 km hourly grids for Australia outperform regional and global reanalysis outputs? Climate Dynamics, 62(10): 9971-10002.Hutchinson MF, Xu T. 2013. ANUSPLIN Version 4.4. Fenner School of Environment and Society, Australian National University, Canberra.
Procedure StepsData not provided.
Spatial Description
Data not provided. 
Temporal Coverage
From 2015-01-01 to on going 
Spatial Resolution

Distance of 1000 Metres

Vertical Extent

Data not provided.

ANZSRC - FOR
Climatology
Meteorology
Data Stream
Climate and Bioclimate
Model-Derived Grids
Weather
GCMD Sciences
ATMOSPHERE - VAPOR PRESSURE
Horizontal Resolution
1 km - < 10 km or approximately .01 degree - < .09 degree
Parameters
vapour pressure deficit
Project
TERN Landscapes
Temporal Resolution
Hourly - < Daily
Topic
climatologyMeteorologyAtmosphere
geoscientificInformation
Author
Stewart, Stephen
Co-Author
Cai, Dejun
McVicar, Tim R
Van Niel, Thomas G
Bridgart, Robert
Contact Point
Stewart, Stephen
Publisher
Terrestrial Ecosystem Research Network
Continental scale spatial temporal interpolation of near-surface air temperature: do 1 km hourly grids for Australia outperform regional and global reanalysis outputs?
Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia.
Contact Us
Creative Commons Attribution 4.0 International Licence
https://creativecommons.org/licenses/by/4.0/
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/ 
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 
Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}. 

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