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    <p>These datasets provide accurate actual evapotranspiration (AET) for Australia using the CMRSET algorithm. The CMRSET algorithm uses reflective remotely sensed indices to estimate AET from potential evapotranspiration (PET; calculated using daily gridded meteorological data generated by the Bureau of Meteorology). Blending high-resolution / low-frequency AET estimates (e.g., Landsat and Sentinel-2) with low-resolution / high-frequency AET estimates (e.g., MODIS and VIIRS) results in AET data that are high-resolution / high-frequency / continuous (no gaps due to cloud) and accurate. These are all ideal characteristics when calculating the water balance for a wetland, paddock, river reach, irrigation area, landscape or catchment. </p><p> Accurate AET information is important for irrigation, food security and environmental management. Like many other parts of the world, water availability in Australia is limited and AET is the largest consumptive component of the water balance. In Australia 70% of available water is used for crop and pasture irrigation and better monitoring will support improved water use efficiency in this sector, with any water savings available as environmental flows. Additionally, ground-water dependent ecosystems (GDE) occupy a small area yet are "biodiversity hotspots", and knowing their water needs allows for enhanced management of these critical areas in the landscape. </p><p> Details of the CMRSET algorithm and its independent validation are provided in “Guerschman, J.P., McVicar, T.R., Vleeshower, J. Chen, Y. and Van Niel, T.G. (2020) Operational spatially-explicit paddock-to-continental actual evapotranspiration estimation: Calibrating the CMRSET algorithm with reflective data from MODIS, VIIRS, Landsat and Sentinel-2 reproduces flux observations and catchment water balance observations across Australia. (In Preparation)</p>