The European Geological Union annual meeting is on again this year in Vienna from the 23-28 April 2023. I have the pleasure of presenting in session CL1.1 - Novel and quantitative methods for reconstructing continental palaeoenvironments and palaeohydrology, room 0.49/50 on Tuesday, 25 April 2023, 08:55. Huge thanks to the European Union, Horizon2020 Marie Skłodowska Curie Fellowship that has funded this work and my upcoming trip to Vienna to present, and to the organisers of our session, Ola, Beth, Cindy, Jessica and Seb, for putting it all together. Cloudy with a chance it rained: Progress towards a proxy for palaeocloud Tamara Fletcher, Julia Tindall, Jochen Voss, and Alan HaywoodCloud has profound impacts on climate, thus accurate cloud simulation is critical for accurate climate modelling. As the greatest source of uncertainty in such models, cloud drives discrepancies in the prediction of future climate. Cloud simulations are validated against recent observations; however, these records do not capture the climate space we are entering this century, limiting our ability to test model accuracy under near future conditions. The best analogue for the 21st Century climate trajectory comes from the Pliocene. Reconstructions of Pliocene cloud regimes would provide critical validation data for climate model performance with respect to cloud. However, despite the wealth ways to reconstruct other climate variables, no method has been developed for reconstructing cloud in deep time. We are working towards proxies capable of reconstructing past cloud, with the goal of establishing a global cloud database for the Pliocene. Our initial results demonstrate the relationship between vegetation and large-scale patterns in cloud in the modern, and tests the model derived from the modern data against palaeoclimate model vegetation and cloud. How to cite: Fletcher, T., Tindall, J., Voss, J., and Haywood, A.: Cloudy with a chance it rained: Progress towards a proxy for palaeocloud, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-13521, https://doi.org/10.5194/egusphere-egu23-13521, 2023.
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ProjectClouds cause the greatest uncertainty in climate models, but we currently have no way of testing cloud model performance in a climate with higher CO2 than the historical records. Palaeontology gives us access to such a past, but currently, we don't have a method to reconstruct cloud in deep time. Archives
June 2023
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