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Maria Antónia Valente

Researcher at University of Lisbon

Publications -  31
Citations -  1772

Maria Antónia Valente is an academic researcher from University of Lisbon. The author has contributed to research in topics: North Atlantic oscillation & Parasitic drag. The author has an hindex of 21, co-authored 31 publications receiving 1362 citations.

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Towards a more reliable historical reanalysis: improvements for version 3 of the Twentieth Century Reanalysis system

Laura C. Slivinski, +53 more
TL;DR: The 20CRv2c dataset as mentioned in this paper is the first ensemble of sub-daily global atmospheric conditions spanning over 100 years, which provides a best estimate of the weather at any given place and time as well as an estimate of its confidence and uncertainty.
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How exceptional was the early August 2003 heatwave in France

TL;DR: The summer of 2003 was characterised by exceptionally warm weather in Europe with the average temperature exceeding that of any previous summer over the last 500 years as discussed by the authors, which had a major impact in excessive mortality rates throughout Europe, with catastrophic amplitude in France.
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The International Surface Pressure Databank version 2

Thomas Cram, +53 more
TL;DR: The International Surface Pressure Databank (ISPD) as mentioned in this paper is the largest collection of global surface and sea-level pressure observations and has been used for various general climate and weather studies.
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The Impact of North Atlantic Wind and Cyclone Trends on European Precipitation and Significant Wave Height in the Atlantic

TL;DR: It is shown that changes in the frequency of low‐pressure centers and the associated wind patterns are partially responsible for trends in the significant height of waves during the extended winter months, and are associated, to a large extent, with the preferred phases of major large‐scale atmospheric circulation modes.
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The impact of the summer 2003 heat wave in Iberia: how should we measure it?

TL;DR: It is shown that the use of absolute maximum temperature values, or number of days above a given threshold, can be misleading, and that the relationship between summer mortality rates and the DD index is non-linear and can be described by a logarithmic function.