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About

About

I studied Astronomy in a 4-years 1st degree (FCUP-UP, 1998) followed by a master degree in computational methods (FEUP-UP, 2000) and a PhD in Surveying Engineering (UP, 2006) [Thesis: Sea level change in the North Atlantic from tide gauges and satellite altimetry]. After a postdoc in Israel where I worked on the analysis of radon time series I became interested on the use of radon gas as a geophysical proxy and as a tracer of dynamic processes in the Earth's system.

I edited a book on "Nonlinear Time Series Analysis in the Geosciences - Applications in Climatology, Geodynamics and Solar-Terrestrial Physics", and 3 topical volumes. I'm the author of 3 book chapters and 50 papers in international peer-reviewed journals.

 

My research is highly interdisciplinary, with a strong emphasis on data science, particularly time series analysis of environmental data. I have expertise on the analysis of climate records and satellite data, focusing on the assessment and quantification of climate change (trends, changes in seasonality, extremes). I have also experience on the field monitoring of environmental radioactivity (in soil, air and water) and on the analysis and interpretation of radiation variability in the context of Sun-Earth interactions as well as interactions between the different sub-components of the Earth's system.

Details

Details

007
Publications

2023

Automatic characterisation of Dansgaard-Oeschger events in palaeoclimate ice records

Authors
Barbosa, S; Silva, ME; Dias, N; Rousseau, D;

Publication

Abstract
<p align="justify">Greenland ice core records display abrupt transitions, designated as Dansgaard-Oeschger (DO) events, characterised by episodes of rapid warming (typically decades) followed by a slower cooling. The identification of abrupt transitions is hindered by the typical low resolution and small size of paleoclimate records, and their significant temporal variability. Furthermore, the amplitude and duration of the DO events varies substantially along the last glacial period, which further hinders the objective identification of abrupt transitions from ice core records Automatic, purely data-driven methods, have the potential to foster the identification of abrupt transitions in palaeoclimate time series in an objective way, complementing the traditional identification of transitions by visual inspection of the time series.</p> <p align="justify">In this study we apply an algorithmic time series method, the Matrix Profile approach, to the analysis of the NGRIP Greenland ice core record, focusing on:</p> <p align="justify">- the ability of the method to retrieve in an automatic way abrupt transitions, by comparing the anomalies identified by the matrix profile method with the expert-based identification of DO events;</p> <p align="justify">- the characterisation of DO events, by classifying DO events in terms of shape and identifying events with similar warming/cooling temporal pattern</p> <p align="justify">The results for the NGRIP time series show that the matrix profile approach struggles to retrieve all the abrupt transitions that are identified by experts as DO events, the main limitation arising from the diversity in length of DO events and the method’s dependence on fixed-size sub-sequences within the time series. However, the matrix profile method is able to characterise the similarity of shape patterns between DO events in an objective and consistent way.</p>

2023

Precipitation-driven gamma radiation enhancement over the Atlantic Ocean

Authors
Barbosa, S; Dias, N; Almeida, C; Silva, G; Ferreira, A; Camilo, A; Silva, E;

Publication
Journal of Geophysical Research: Atmospheres

Abstract

2022

Extreme heat events in the Iberia Peninsula from extreme value mixture modeling of ERA5-Land air temperature

Authors
Barbosa, S; Scotto, MG;

Publication
WEATHER AND CLIMATE EXTREMES

Abstract

2022

An holistic monitoring system for measurement of the atmospheric electric field over the ocean - The SAIL campaign

Authors
Barbosa, S; Dias, N; Almeida, C; Amaral, G; Ferreira, A; Lima, L; Silva, I; Martins, A; Almeida, J; Camilo, M; Silva, E;

Publication
OCEANS 2022

Abstract
The atmospheric electric field is a key characteristic of the Earth system. Despite its relevance, oceanic measurements of the atmospheric electric field are scarce, as typically oceanic measurements tend to be focused on ocean properties rather than on the atmosphere above. This motivated the set-up of an innovative campaign on board the sail ship NRP Sagres focused on the measurement of the atmospheric electric field in the marine boundary layer. This paper describes the monitoring system that was developed to measure the atmospheric electric field during the planned circumnavigation expedition of the sail ship NRP Sagres. © 2022 IEEE.

2021

New metrology for radon at the environmental level

Authors
Röttger, A; Röttger, S; Grossi, C; Vargas, A; Curcoll, R; Otáhal, P; Hernández Ceballos, MÁ; Cinelli, G; Chambers, S; Barbosa, SA; Ioan, MR; Radulescu, I; Kikaj, D; Chung, E; Arnold, T; Yver Kwok, C; Fuente, M; Mertes, F; Morosh, V;

Publication
Measurement Science and Technology

Abstract

Supervised
thesis

2022

Prediction of extreme values in data streams

Author
Nuno Moura da Costa

Institution
UP-FCUP

2021

ClimateCollab: A collaborative graph for reproducible evidence of climate change

Author
Lázaro Gabriel Barros da Costa

Institution
UP-FEUP