Annual average daily modelled scalar soil water content for the Australian continent. Modelled using eMAST-R-Package 2.0.

Annual mean of the annual temperature seasonality (standard deviation *100) for the Australian continent for the baseline climatic average of monthly 1976-2005 data. Modelled using eMAST-R-Package 2.0

Monthly overland run-off for the Australian continent. Modelled using eMAST-R-Package 2.0.

Modelled root-layer soil moisture (0-100 cm) using the Australian Water Resources Assessment model via assimilation of satellite soil moisture products: 97.5th percentile of the ensemble of model estimates. Note that the data represents the mean of an ensemble of 100 modelled estimates for each data derived via perturbed meteorological forcing. Resolution of the output data is 0.05-degree for the whole country. The unit of measure is relative wetness (0-1, indicating 0 and 100% degree of saturation).

Modelled daily average canopy conductance (mm per second, averaged over a day) using the Australian Water Resources Assessment model via assimilation of satellite soil moisture products: 50th percentile of the ensemble of model estimates. Note that the data represents the mean of an ensemble of 100 modelled estimates for each data derived via perturbed meteorological forcing. Resolution of the output data is 0.05-degree for the whole country.

Modelled evapotranspiration (mm day) using the Australian Water Resources Assessment model via assimilation of satellite soil moisture products: 50th percentile of the ensemble of model estimates. Note that the data represents the mean of an ensemble of 100 modelled estimates for each data derived via perturbed meteorological forcing. Resolution of the output data is 0.05-degree for the whole country.

Modelled evapotranspiration (mm day) using the Australian Water Resources Assessment model via assimilation of satellite soil moisture products: 2.5th percentile of the ensemble of model estimates. Note that the data represents the mean of an ensemble of 100 modelled estimates for each data derived via perturbed meteorological forcing. Resolution of the output data is 0.05-degree for the whole country.

Modelled top-layer soil moisture (0-10 cm) using the Australian Water Resources Assessment model via assimilation of satellite soil moisture products: 2.5th percentile of the ensemble of model estimates. Note that the data represents the mean of an ensemble of 100 modelled estimates for each data derived via perturbed meteorological forcing. Resolution of the output data is 0.05-degree for the whole country. The unit of measure is relative wetness (0-1, indicating 0 and 100% degree of saturation).

Modelled root-layer soil moisture (0-100 cm) using the Australian Water Resources Assessment model via assimilation of satellite soil moisture products: 2.5th percentile of the ensemble of model estimates. Note that the data represents the mean of an ensemble of 100 modelled estimates for each data derived via perturbed meteorological forcing. Resolution of the output data is 0.05-degree for the whole country. The unit of measure is relative wetness (0-1, indicating 0 and 100% degree of saturation).

Modelled top-layer soil moisture (0-10 cm) using the Australian Water Resources Assessment model via assimilation of satellite soil moisture products: 97.5th percentile of the ensemble of model estimates. Note that the data represents the mean of an ensemble of 100 modelled estimates for each data derived via perturbed meteorological forcing. Resolution of the output data is 0.05-degree for the whole country. The unit of measure is relative wetness (0-1, indicating 0 and 100% degree of saturation).