Category: RP3 Drought
By employing an atmosphere-only version of ACCESS, CLEX researchers generated multiple sea surface temperature patterns of the same El Nino and La Nina events, and assessed how this influenced heatwaves over various Australian regions.Read More
A focus on building resilience in health and health infrastructure is needed to deal with the future effects of extreme events – both due to climate change and climate variability.Read More
Urban Climate and Energy Model (UCLEM) is a new climate model focused on Australian conditions that integrates energy use and human behaviour to generate accurate representations of urban climates.Read More
Research brief: How well can climate models simulate interactions between cool and dry conditions under the current climate?
This paper shows that many models overestimate the interaction between hot and dry conditions in wet regions and therefore overamplify heat extremes. The study points to necessary model improvement to increase confidence in future projections of heat extremes.Read More
The MAAT framework can be used to systematically run multiple model simulations to explore how different underlying model assumptions, hypotheses and parameters lead to predicted model behaviour and isolate the causes of model divergence.Read More
A new study by CLEX researchers using observations from FLUXNET sites identifies regions of high and low predictability and will likely help improve land surface model evaluation.Read More
New research clearly demonstrates the potential to predict long-term LAI using simple ecohydrological theory. This approach could potentially be incorporated into existing terrestrial biosphere models and help improve predictions of LAI.Read More
This research suggests some trees and in particular, Australian trees, may be more resilient than expected to future warming and extreme events. These findings have implications for planning around which species to plant in “green cities” to help mitigate future climate extremes.Read More
The application of a simple carbon balance model, combined with a data assimilation approach, has the potential to improve the process understanding embedded in models, which is used to predict responses of the carbon cycle to climate change.Read More
This study evaluated GCMs for common drought metrics during the past 55 years. It found different models can produce very different simulations of drought, depending on the type of drought and metric analysed. The study points to a need to improve GCMs for droughts to reduce uncertainties in future projections.Read More
CLEX researchers writing in Nature Climate Change suggest a paradigm shift in how climate scientists approach climate change impact assessments. They suggest examining the system or potential catastrophe first instead of making the starting point a climate scenario.Read More
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