Preprints
https://doi.org/10.5194/egusphere-2024-1211
https://doi.org/10.5194/egusphere-2024-1211
08 May 2024
 | 08 May 2024
Status: this preprint is open for discussion and under review for Climate of the Past (CP).

Insights into the Australian mid-Holocene climate using downscaled climate models

Andrew L. Lowry and Hamish A. McGowan

Abstract. The mid-Holocene climate of Australia and the equatorial tropics of the Indonesian–Australian monsoon region is investigated using the Community Earth System Model (CESM) and the Weather Research and Forecasting (WRF) model. Each model is used to simulate the pre-industrial (1850) and the mid-Holocene (6000 years before 1950) climate. The results of these four simulations are compared to existing bioclimatic modelling of temperature and precipitation. The finer resolution WRF simulations reduce the bias between the model and bioclimatic data results for three of the four variables available in the proxy dataset. The model results show that temperatures over southern Australia at the mid-Holocene and pre-industrial period were similar, and temperatures were slightly warmer during the mid-Holocene over northern Australia and into the tropics, compared to the pre-industrial. During the mid-Holocene precipitation was generally reduced over northern Australia and in the Indonesian–Australian monsoon region, particularly during summertime. The results highlight the improved value of using finer resolution models such as WRF to simulate the palaeoclimate.

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Andrew L. Lowry and Hamish A. McGowan

Status: open (until 03 Jul 2024)

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Andrew L. Lowry and Hamish A. McGowan
Andrew L. Lowry and Hamish A. McGowan

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Short summary
We present simulations of the mid-Holocene and pre-industrial climate of Australia using coarse (2°) and finer (0.44°) resolution climate models. These simulations are compared to bioclimatic representation of the palaeoclimate of the mid-Holocene. The finer resolution simulations reduce the bias between the model and the bioclimatic results and highlight the improved value of using finer resolution models to simulate the palaeoclimate.