Australian Drought Monitor

Brief description

Drought is one of the most severe natural disasters Australia faces, inflicting serious impacts on the agricultural industry. An Australia-wide drought monitor is being developed to provide detailed and timely data regarding drought conditions that will aid producers and policy makers alike. The Drought Monitor development is an integral part of the Northern Australia Climate Program (NACP), a major partnership between Meat & Livestock Australia, the Queensland Government and the University of Southern Queensland.

Notes

Drought is one of the most severe natural disasters Australia faces, inflicting serious impacts on the
agricultural industry. An Australia-wide drought monitor is being developed to provide detailed and
timely data regarding drought conditions that will aid producers and policy makers alike. The
Drought Monitor development is an integral part of the Northern Australia Climate Program (NACP),
a major partnership between Meat & Livestock Australia, the Queensland Government and the
University of Southern Queensland.

The Australian Drought Monitor is based on the U.S. Drought Monitor (USDM) concept, which was
developed by Mark Svoboda and his team at the National Drought Mitigation Center at the
University of Nebraska-Lincoln in the late 1990s. The Composite Drought Indicator (CDI) used for the
NACP project is a scaled down version of the U.S. Drought Monitor, using only four selected indices.
While the U.S. Drought Monitor depends on observations from more than 350 contributors around
the U.S, the Australian Drought Monitor is designed to limit the impact of human opinion on its
results.

The CDI is based on the combination of four different indices/indicators: 3-month Standard
Precipitation Index (SPI), Soil Moisture (SM), Evapotranspiration (ET) and Normalised Difference
Vegetation Index (NDVI). Each dataset is percentile ranked over a baseline period and the results
combined using a weighted average. Principal Component Analysis (PCA) is used to determine the
optimal weighting for the CDI for each grid cell for every month over Australia.