This week, over 100 scientists came together at Weetwood Hall here in Leeds to talk recent advancements and discoveries, but also to foster cross disciplinary engagement and greater collaboration between the palaeoclimate modelling, marine and terrestrial palaeodata communities. The invited speaker's s highlighted the major trends and discoveries from PlioMIP (Alan Haywood), the massive community compilation effort that has driven the PAGES working group PlioVar to a new marine synthesis of global marine palaeoclimate records for the Late Pliocene (Erin McClymont) and historical perspectives on sea surface temperature data-model comparisons (Harry Dowsett). We also had sessions on global reconstructions of hydroclimate and ice processes, regional reconstructions, ocean circulation and carbon dynamics.
I had the opportunity to present the initial results of my cloud reconstruction research. This opened some great discussions about what might be possible, especially from colleagues with very different expertise from my own. Could we use the leaf pigments to study past coud? How to cite: Fletcher, T., Tindall, J., and Haywood, A.: Palaeocloud for the Pliocene, The warm Pliocene: Bridging the geological data and modelling communities, Leeds, United Kingdom, 23–26 Aug 2022, GC10-Pliocene-59, https://doi.org/10.5194/egusphere-gc10-pliocene-59, 2022. The meeting was sponsored by EGU, NERC UK Integrated Ocean Drilling Programme and PAGES. Thank you to the sponsors who made this meeting possible. Thank you also to the organising committee:
Dr Aisling Dolan (Co-Lead; University of Leeds ) Dr Heather Ford (Co-Lead; Queen Mary University of London ) Prof Alan Haywood (University of Leeds) Prof Erin McClymont (Durham University) Dr Babette Hoogakker (Herriot-Watt University) Dr Sze Ling Ho (National Taiwan University) Dr Bette Otto-Bliesner (NCAR) Dr Wing-Le Chan (University of Tokyo) Lauren Burton (PhD Candidate, University of Leeds) Lina C. Pérez-Angel (PhD Candidate, University of Colorado Boulder)
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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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