This project aims to understand the effects of fire on heat, moisture and carbon dioxide fluxes in Australia's tropical savannas.
Details can be found by clicking HERE . The project is closely related to Dr. Lindsay Hutleys CRC project examining the water and carbon exchanges of savannas ( https://savanna.ntu.edu.au/research/projects/carbon.html ). The tower will provide longterm measurements as part of the Ozflux network .
Data from this site is available through the international FLUXNET database or by emailing Professor Jason Beringer.
This site is produced by the Climate Group, School of Geography and Environmental Science and proudly part of the Australian Flux Network (OzFlux) and the Australian NCRIS Terrestral Ecosystem Research Network (TERN).
Instrument | Make | Model | Description |
---|---|---|---|
Open path CO2, H2O | LI-COR | LI-7500 | 23m |
Sonic anemometer
- wind velocities (u,v,w) - sonic temperature |
Campbell Scientific | CSAT-3 | 23m |
Solar Radiation (incoming) | Kipp and Zonen | CM-7B | 23m |
Solar Radiation (reflected) | Kipp and Zonen | CG-2 | 23m |
Atmospheric Pressure | LI-COR | LI-7500 | 23m |
Soil Heat Flux (2 replicates) | Campbell Scientific | HFT3 | Ground, -15 cm |
Soil moisture | Campbell Scientific | CS616 | 10-100cm |
Temperature and Relative Humidity | Vaisala | HMP45A | 2m, 23m |
Rain Gauge | Campbell Scientific | TB3 | Ground |
Data Loggers | Campbell Scientific | CR-3000 |
|
Power Supply
- 12V DC EC flux station |
Kyocera | Solar panels (3) (BP) | Ground |
The data was obtained from the Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics (ORNL DAAC) (https://daac.ornl.gov/MODIS/).
The ORNL DAAC provides MODIS Land Product Subsets for model validation, site characterisation and remote-sensing purposes.
Daily updated data was obtained from this provider, with an area of 3x3km extracted using Python script written by Mr. Darien Pardinas-Diaz ([email protected]).
The plots were produced using QC Filter Conditions 000 and 001. Condition 000 represents the highest QC Filter possible and 001 represents a reliable and usable QC Filter,
though not to the standard of 000.