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Célia Gouveia     Research or Laboratory Scientist 
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Célia Gouveia published an article in March 2019.
Top co-authors See all
J. M. Vaquero

225 shared publications

Instituto Universitario de Investigación del Agua, Cambio Climático y Sostenibilidad (IACYS), Universidad de Extremadura, E-06006 Badajoz, Spain

Ricardo Trigo

202 shared publications

Instituto Geofísico do Infante D. Luiz (IGIDL), Universidade de Lisboa, Ed C8, Piso 6, 1749-016, Rua da Escola Politécnica nº 58, 1250-102 Lisboa, Lisbon, PORTUGAL

José Luís Zêzere

60 shared publications

Centre for Geographical Studies, IGOT—Institute of Geography and Spatial Planning, Universidade de Lisboa, Edifício IGOT, Rua Branca Edmée Marques, 1600-276 Lisboa, Portugal

Alexandre M. Ramos

58 shared publications

Instituto Dom Luiz (IDL)

Ana Russo

32 shared publications

Instituto Dom Luiz (IDL), Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisboa, Portugal

40
Publications
50
Reads
15
Downloads
355
Citations
Publication Record
Distribution of Articles published per year 
(2007 - 2019)
Total number of journals
published in
 
28
 
Publications See all
Article 0 Reads 0 Citations Modelling of Wine Production Using Land Surface Temperature and FAPAR—The Case of the Douro Wine Region Clarisse Magarreiro, Célia M. Gouveia, Carla M. Barroso, Isa... Published: 13 March 2019
Remote Sensing, doi: 10.3390/rs11060604
DOI See at publisher website ABS Show/hide abstract
The vegetative development of grapevines is orchestrated by very specific meteorological conditions. In the wine industry vineyards demand diligent monitoring, since quality and productivity are the backbone of the economic potential. Regional climate indicators and meteorological information are essential to winemakers to assure proper vineyard management. Satellite data are very useful in this process since they imply low costs and are easily accessible. This work proposes a statistical modelling approach based on parameters obtained exclusively from satellite data to simulate annual wine production. The study has been developed for the Douro Demarcated Region (DDR) due to its relevance in the winemaking industry. It is the oldest demarcated and controlled winemaking region of the world and listed as one of UNESCO’s World Heritage regions. Monthly variables associated with Land Surface Temperatures (LST) and Fraction of Absorbed Photosynthetic Active Radiation (FAPAR), which is representative of vegetation canopy health, were analysed for a 15-year period (2004 to 2018), to assess their relation to wine production. Results showed that high wine production years are associated with higher than normal FAPAR values during approximately the entire growing season and higher than normal values of surface temperature from April to August. A robust linear model was obtained using the most significant predictors, that includes FAPAR in December and maximum and mean LST values in March and July, respectively. The model explains 90% of the total variance of wine production and presents a correlation coefficient of 0.90 (after cross validation). The retained predictors’ anomalies for the investigated vegetative year (October to July) from 2017/2018 satellite data indicate that the ensuing wine production for the DDR is likely to be below normal, i.e., to be lower than what is considered a high-production year. This work highlights that is possible to estimate wine production at regional scale based solely on low-resolution remotely sensed observations that are easily accessible, free and available for numerous grapevines regions worldwide, providing a useful and easy tool to estimate wine production and agricultural monitoring.
Article 0 Reads 0 Citations The synergy between drought and extremely hot summers in the Mediterranean Ana Russo, C M Gouveia, Emanuel Dutra, Pedro Mm Soares, Rica... Published: 17 January 2019
Environmental Research Letters, doi: 10.1088/1748-9326/aaf09e
DOI See at publisher website ABS Show/hide abstract
In the last years a large number of weather driven extreme events has occurred worldwide with unprecedented socio-economic impacts and are expected to increase, in both frequency and intensity, under future global-warming conditions. In this context early identification and predictability of such events are paramount as they mostly affect several socio-economic activities. Despite the effort in monitoring and evaluation of these extreme events, a quantitative assessment of their interaction is still a challenge. We propose to analyze if the occurrence of extremely hot days/nights in the summer is preceded by drought events in spring and early summer throughout the Mediterranean area. This was investigated by correlating the number of hot days and nights in the regions' hottest months with a drought indicator on the prior months. Drought characterization was performed using both the Standardized Precipitation Evaporation Index (SPEI) and the Standardized Precipitation Index (SPI) for the 3-, 6- and 9-months time scales, considering the period 1980-2014 with a spatial resolution of 0.5o. The number of hot days and nights per month (NHD and NHN, respectively) is determined for the same period and spatial resolution. Results show that the most frequent hottest months for the Mediterranean region occur in July and August. Most regions exhibit statistically significant negative correlations, i.e. high (low) NHD/NHN following negative (positive) SPEI/SPI values, and thus a potential for NHD/NHN early warning. This analysis allowed to identify the Iberian Peninsula, northern Italy, northern Africa and the Balkans as the main hotspots of predictability of extreme hot temperatures in the summer preceded by the occurrence of drought events in the spring or early summer.
Article 0 Reads 1 Citation Assessing the Use of Satellite-Based Estimates and High-Resolution Precipitation Datasets for the Study of Extreme Preci... Riccardo Hénin, Margarida L. R. Liberato, Alexandre M. Ramos... Published: 19 November 2018
Water, doi: 10.3390/w10111688
DOI See at publisher website ABS Show/hide abstract
An assessment of daily accumulated precipitation during extreme precipitation events (EPEs) occurring over the period 2000–2008 in the Iberian Peninsula (IP) is presented. Different sources for precipitation data, namely ERA-Interim and ERA5 reanalysis by the European Centre for Medium-Range Weather Forecast (ECMWF) and Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA), both in near-real-time and post-real-time releases, are compared with the best ground-based high-resolution (0.2° × 0.2°) gridded precipitation dataset available for the IP (IB02). In this study, accuracy metrics are analysed for different quartiles of daily precipitation amounts, and additional insights are provided for a subset of EPEs extracted from an objective ranking of extreme precipitation during the extended winter period (October to March) over the IP. Results show that both reanalysis and multi-satellite datasets overestimate (underestimate) daily precipitation sums for the least (most) extreme events over the IP. In addition, it is shown that the TRMM TMPA precipitation estimates from the near-real-time product may be considered for EPEs assessment over these latitudes. Finally, it is found that the new ERA5 reanalysis accounts for large improvements over ERA-Interim and it also outperforms the satellite-based datasets.
Article 1 Read 1 Citation Assigning precipitation to mid-latitudes fronts on sub-daily scales in the North Atlantic and European sector: Climatolo... Riccardo Hénin, Alexandre M. Ramos, Sebastian Schemm, Célia ... Published: 04 September 2018
International Journal of Climatology, doi: 10.1002/joc.5808
DOI See at publisher website
BOOK-CHAPTER 2 Reads 0 Citations Post-Fire Vegetation Recovery in Iberia Based on Remote- Sensing Information Célia Gouveia, Patrícia Páscoa, Carlos Dacamara Published: 09 May 2018
Forest Fire, doi: 10.5772/intechopen.72594
DOI See at publisher website
CONFERENCE-ARTICLE 39 Reads 1 Citation <strong>Evaluating extreme precipitation events on the Iberian Peninsula using TRMM satellite data</strong> Margarida Liberato, Riccardo Hénin, Alexandre Ramos, Célia G... Published: 10 November 2017
Proceedings of First International Electronic Conference on the Hydrological Cycle, doi: 10.3390/CHyCle-2017-04880
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An assessment of extreme precipitation events (EPEs) is performed using the high-resolution (0.2°) gridded daily precipitation database available for the IP, the accumulated precipitation from ERA-Interim reanalysis by EMCWF at 6-hour intervals, and the Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) dataset, based on multisatellite estimates of precipitation and gauges measurements, for the common period since 1998. This study presents an analysis and validation of the extreme precipitation characteristics over IP, using both satellite and ground observations. Results show that there is a good general agreement between total precipitation analysis from observational gridded and TRMM datasets, both temporal and spatially, although TRMM TMPA results are underestimated when compared to observations and ERA Interim data.

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