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Paul J. Valdes

Researcher at University of Bristol

Publications -  384
Citations -  24048

Paul J. Valdes is an academic researcher from University of Bristol. The author has contributed to research in topics: Climate change & Climate model. The author has an hindex of 77, co-authored 344 publications receiving 20662 citations. Previous affiliations of Paul J. Valdes include University of Oxford & University of Reading.

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The influence of Carboniferous palaeoatmospheres on plant function: an experimental and modelling assessment

TL;DR: A global–scale analysis of the impact of the late Carboniferous climate and atmospheric composition on vegetation function was determined by driving a process–based vegetation–biogeochemistry model with a carboniferous global palaeoclimate simulated by the Universities Global Atmospheric Modelling Programme General Circulation Model.
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The Early Eocene equable climate problem: can perturbations of climate model parameters identify possible solutions?

TL;DR: This paper performs more than 100 simulations with perturbed physics parameters, and identifies two simulations that have an optimal fit with the proxy data, and simulated the warmth of the Early Eocene at 560 ppmv CO2, which is a much lower CO2 level than many other models.
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An oceanic origin for the increase of atmospheric radiocarbon during the Younger Dryas

TL;DR: In this article, the authors used Earth-system model simulations and comparison of marine-based radiocarbon records from different ocean basins to demonstrate that the Younger Dryas (YD) Δ14Catm increase is smaller than suggested by the marine archive.
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Investigating early hominin dispersal patterns: developing a framework for climate data integration.

TL;DR: The late arrival of early hominins into Europe, as deduced from the fossil record, is shown to be consistent with poor ability of these hominINS to survive in the Eurasian landscape.
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The modern dust cycle: Comparison of model results with observations and study of sensitivities

TL;DR: In this paper, a new off-line dust model is described, which can be forced by output from the Hadley Centre general circulation model (GCM) or by ERA analyses, and discusses an extensive set of quantitative and qualitative evaluations with DIRTMAP deposition data, University of Miami concentration data, and Total Ozone Mapping Spectrometer (TOMS) aerosol index.