In this paper, CLEX researchers developed new metrics to assess whether forecaster edits targeting these processes were reducing error in the daily varying component of the wind forecasts, by comparing edited and unedited forecast data with weather station observations.
Most climate models correct for current SSTs but don't correct for the reliability of future SSTs. This study shows that making that additional correction has a profound impact on how tropical cyclones will develop in a warmer world.
CLEX researchers found that applying a statistical correction to projected sea surface temperatures has a major impact on changes to rainfall with global warming, leading to a 25% reduction in future precipitation projected for the south-western Pacific.
This work examines how climate projections are affected by using different subsets of available climate models. The researchers find several variables need to be optimised independently to get the best results.
The Australian FLUXNET data provide perhaps the world’s most valuable observations for building and evaluating the land models needed for projecting future droughts and heatwaves.
This study highlights the importance of simulating global and regional warming responses correctly, to enable more accurate estimates of how the occurrence probability of climate extremes may change in a warming climate.
This PhD will use sophisticated alternatives for removing systematic biases in the lateral boundary conditions of such experiments, with the aim of assessing the extent of change that results in the resulting extreme storm. Outcomes here can help define how we design Civil Engineering infrastructure in warming climates.