AusEFlux: Empirical upscaling of terrestrial carbon and water fluxes over Australia using the OzFlux eddy covariance network
AusEFlux (Australian Empirical Fluxes) is a high resolution (500 metre) operational gridded estimate of Gross Primary Productivity, Ecosystem Respiration, Net Ecosystem Exchange, and Evapotranspiration over the Australian continent for the period January 2003 to present. This new estimate of Australia’s terrestrial carbon cycle provides a benchmark for assessment against Land Surface Model simulations, and a means for monitoring of Australia’s terrestrial carbon cycle at an unprecedented high-resolution.
The datasets are free and openly available through the NCI's high-performance THREDDS data service: https://thredds.nci.org.au/thredds/catalog/ub8/au/AusEFlux/catalog.html
- The
notebooks/folder contains all the methods and instructions for running the workflow. - The
src/folder contains the python scripts for supporting the workflows.
The methods in this repository develop an operational workflow for production of AusEFlux. This repository differs from the NEE_modelling repo which describes the research methods that inform the EGU Biogeosciences publication.
Version Guide
- v1.1: This version of the datasets are those used to inform the EGU Publication linked above. Its time range is 2003-July 2022, and its spatial resolution is 5 km on Zenodo, but the 1 km resolution datasets can be accessed through NCI's THREDDS portal.
- v2.1: This is the operational version of the dataset, its includes several improvements over version 1.1. Its time-range is 2003-2024 (and will be updated annually), and its spatial resolution is 500m. A 5 km reprojected version of the dataset is included on Zenodo, but the 500 metre datasets can be accessed through NCI's THREDDS portal.
Coarser resolution outputs of this analysis, stored as netcdfs, can be accessed at Zenodo.
If using these methods or datasets please cite:
Burton, C.A., Renzullo, L. J., Rifai, S. W., & Van Dijk, A. I., Empirical upscaling of OzFlux eddy covariance for high-resolution monitoring of terrestrial carbon uptake in Australia. Biogeosciences, 2023. 20(19): p. 4109-4134.
License: The code in this repository is licensed under the Apache License, Version 2.0