Data information
The data on this portal are measurements of ecosystem exchange of heat, water vapour and carbon dioxide and supporting meteorological data for sites in Australia and New
Zealand. The data are stored in NetCDF files that
conform to the CF Metadata Convention. Information
on the NetCDF files and utilities for accessing NetCDF files are available here. A list of variable names used in the NetCDF
files and their definitions is available here.
The data licence terms and conditions are explained here.
The data in the NetCDF files is as follows:
- Meteorological data such as air temperature, humidity, wind speed and direction and precipitation.
- Radiation data such as incoming and outgoing shortwave and longwave, net radiation, photosynthetically active radiation (PAR, optional) and direct and diffuse shortwave (optional).
- Soil data such as soil heat flux, soil temperature and soil moisture.
- Flux data such as friction velocity and the fluxes of momentum, sensible heat, latent heat and carbon dioxide.
The data is available on this portal at one of four processing levels:
- Level 1 – these files contain the characters L1 in the name of the file. The data has not been subjected to any quality control or post-processing.
- Level 2 – these files contain the characters L2 in the name of the file. Data at this level have been subject to basic quality control checks but not to any post-processing.
- Level 3 – these files contain the characters L3 in the name of the file. Data at this level has been subject to quality control and post-processing, however the data will contain gaps due to the quality control process.
- Level 4 – these files contain the characters L4 in the name of the file. Data at this level has been subject to quality control, post-processing and gap-filling of meteorological data. The gap-filling techniques used by OzFlux can be data from a paired site from a nearby automatic weather station, data from a numerical weather prediction model or data from a meteorological reanalysis product. Additionally gaps can be eliminated by using climatological data from the site itself.
- Level 5 – these files contain the characters L5 in the name of the file. Data at this level has been subject to quality control, post-processing and gap-filling of meteorological data as well as flux data. Curently three methods for gap filling fluxes are available at L5 (MDS, SOLO and LongSOLO). More information on the gap filling methods can be found at PyFluxPro wiki on github
- Level 6 – these files contain the characters L6 in the name of the file. Data at this level has been subject to quality control, post-processing and gap-filling. L6 is the stage where PyFluPro partitions the net ecosystem exchange into ecosystem respiration and cross primary productivity.
