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Aurore Porson

Researcher at University of Reading

Publications -  20
Citations -  2242

Aurore Porson is an academic researcher from University of Reading. The author has contributed to research in topics: Scale (ratio) & Environmental science. The author has an hindex of 12, co-authored 17 publications receiving 1932 citations. Previous affiliations of Aurore Porson include Université catholique de Louvain & Met Office.

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The Joint UK Land Environment Simulator (JULES), model description – Part 1: Energy and water fluxes

TL;DR: The Joint UK Land Environment Simulator (JULES) as discussed by the authors is developed from the Met Office Surface Exchange Scheme (MOSES) and can be used as a stand alone land surface model driven by observed forcing data, or coupled to an atmospheric global circulation model.
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The International Urban Energy Balance Models Comparison Project: First Results from Phase 1

TL;DR: The aim of the comparison overall is to understand the complexity required to model energy and water exchanges in urban areas and to identify those modeling approaches that minimize the errors in the simulated fluxes of the urban energy balance.
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Initial results from Phase 2 of the international urban energy balance model comparison

TL;DR: In this paper, the first results of Phase 2 from an international comparison project to evaluate 32 urban land surface schemes are presented, which is the first large-scale systematic evaluation of these models.
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Implementation of a new urban energy budget scheme in the MetUM. Part I: Description and idealized simulations

TL;DR: The formulation of a new urban scheme, MORUSES (Met Office–Reading Urban Surface Exchange Scheme) for use in the Met Office Unified Model, which represents the urban area as a composition of two tiles, a canyon and a roof, using a simple 2D geometry.
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Improved microphysical parametrization of drizzle and fog for operational forecasting using the Met Office Unified Model

TL;DR: In order to improve the forecasting of fog, visibility and drizzle within the Met Office Unified Model, three parametrizations are included in high-resolution, limited-area versions of the model as discussed by the authors.