Research brief: Categorising and naming marine heatwaves
This paper proposes a standard categorisation and naming framework for marine heatwaves that works in a similar way to schemes used for tropical cyclones or earthquakes.
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Research briefs | CLEX
Research brief: Redesigning the Tropical Pacific Observing System
An improved Tropical Pacific Observing System that is responsive to user needs will provide for better understanding and prediction of the climate system, which will reduce climate uncertainty for society.
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Research brief: Changes to weather features of atmospheric conversion lines drive future changes to rainfall
Weather time scales will be needed for models to accurately simulate the dynamic contribution to future precipitation changes with global warming. This will better reproduce spatial patterns and reduce regional uncertainties, especially in the tropics.
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Research brief: Data assimilation strategies for state dependent observation error variances
This research shows how to optimise the observational uncertainty description for data assimilation schemes in the special case of state dependent observational uncertainty.
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Research brief: Improving assimilation of radiance observations by implementing model space localisation in an ensemble Kalman filter
New data assimilation method leads to large improvements in forecast accuracy when satellite observations of electromagnetic radiation emanating from the Earth were used to inform the data assimilation scheme.
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Research brief: Hybrid Cyclones in the Australian Region
Two papers by Centre of Excellence researchers are the first to systematically investigate and document hybrid cyclones in the Australian region.
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Research brief: Calibration in the GIMMSv3.0g dataset may have affected dryland NDVI values globally
Calibration errors in the widely used Global Inventory Monitoring and Modeling System Version 3 NDVI (GIMMSv3.0g) dataset caused significant errors in the trends over some of Australia’s dryland regions. Though identified over Australia, the problematic calibration in the GIMMSv3.0g dataset may have effected dryland NDVI values globally. These errors have been addressed in the updated GIMMSv3.1g which is strongly recommended for use in future studies.
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Research brief: How to select the best models to predict future warming
This study illustrates how future uncertainty of climate models in predicting hot extremes is controlled by two factors, both related to amplification of hot extremes through land-atmosphere interactions
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Research brief: Selecting the correct model is more than a “beauty contest”
The scientific community is moving away from “beauty contest” thinking where models are accepted or rejected on the basis of how well they simulate particular aspects of the present or past, toward a smarter approach that seeks to understand and exploit how present and future predictions are related as well as how different models are related.
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Research brief: How organised convective systems produce more extreme rainfall.
Extreme daily accumulated rainfall is greater when convection is organised, because convection is localised in relatively fixed locations once it’s organised, which increases the accumulated extreme rain over long timescales.
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Research Briefs
Research brief: Categorising and naming marine heatwaves
Research brief: Redesigning the Tropical Pacific Observing System
Research brief: Changes to weather features of atmospheric conversion lines drive future changes to rainfall
Research brief: Data assimilation strategies for state dependent observation error variances