Institution
Queensland Government
Recent research
- Climate & EnvironmentOpen access
Fifteen years of regional climate downscaling in CORDEX-Australasia
Regional climate modelling plays a central role in understanding and projecting climate change across Australasia, a region characterised by complex topography, diverse climate regimes, and high exposure to climate extremes. Over the past fifteen years, CORDEX-Australasia has coo...
- Climate & EnvironmentOpen access
Environmental DNA maps estuarine regionalisation, zonation, and water quality impacts
High throughput metabarcoding sequencing of environmental DNA was applied to analyse estuarine biota, along a latitudinal gradient across three regions, estuarine zones, and water quality types. A total of 4757 detections, in 36 biota groupings were observed. The majority in seve...
- Biology
OBJECTIVE: This scoping review will identify methodological guidance relevant to systematic reviews (SRs), clinical practice guidelines (CPGs), and health technology assessments (HTAs) for rare diseases, and examine methodological challenges associated with their development. INT...
- Climate & EnvironmentOpen access
ABSTRACT Graphical summary of microplastic pollution in the Karnaphuli River. It illustrates sources such as industrial discharge, municipal waste, and urban runoff, transport through water and sediments, ingestion by fish, and human exposure through fish consumption, highlightin...
- Climate & Environment
Assessment of Tropical Cyclones Over the Australian Region From Downscaled CORDEX‐CMIP6 Simulations
Abstract Tropical cyclones (TCs) cause major economic losses in Australia due to severe winds and floods; however global climate models (GCMs) are too coarse to properly resolve them. Here, we dynamically downscale ERA5 reanalysis and 16 CMIP6 simulations from 11 GCMs using the C...
- Climate & EnvironmentOpen access
Context Although long-running, regional wave buoy networks exist within Australia, there remain critical spatial gaps in observations and limited coordination of data standards. These limitations result in challenges for using existing observations for national-scale applications...
- Climate & EnvironmentOpen access
A machine learning approach to predict river hydrographs for water quality sampling
Abstract Hydrology and water quality are innately linked, as flow dynamics control the transport of pollutants within river systems. Consequently, the timing of sample collection in water quality monitoring programs strongly influences the accuracy of estimated pollutant loads. T...