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Ricardo Trigo      
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Ricardo Trigo published an article in September 2018.
Top co-authors See all
José M. Vaquero

126 shared publications

Departamento de Física; Centro Universitario de Mérida, Universidad de Extremadura; Mérida Spain

Raquel Nieto

96 shared publications

Environmental Physics Laboratory (EphysLab), Facultad de Ciencias, Universidade de Vigo, 32004 Ourense, Spain

Luis Gimeno

53 shared publications

Environmental Physics Laboratory (EphysLab), Facultad de Ciencias, Universidade de Vigo, 32004 Ourense, Spain

Alexandre M. Ramos

47 shared publications

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

José Luis Zêzere

41 shared publications

Institute of Geography and Spatial Planning – Universidade de Lisboa, Rua Branca Edmée Marques, Cidade Universitária, Lisbon, Portugal

Publication Record
Distribution of Articles published per year 
(1970 - 2018)
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Article 1 Read 0 Citations Validation of reference evapotranspiration from Meteosat Second Generation (MSG) observations Isabel F. Trigo, Henk De Bruin, Frank Beyrich, Fred C. Bosve... Published: 01 September 2018
Agricultural and Forest Meteorology, doi: 10.1016/j.agrformet.2018.05.008
DOI See at publisher website
CONFERENCE-ARTICLE 5 Reads 0 Citations Impacts of Atmospheric Rivers in extreme precipitation on the European Macaronesian islands Alexandre Ramos, Ricardo Trigo, Ricardo Tomé, Margarida Libe... Published: 06 November 2017
First International Electronic Conference on the Hydrological Cycle, doi: 10.3390/CHyCle-2017-04848
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Extreme precipitation events in Europe during the winter half of the year have major socio-economic impacts associated with floods, landslides, extensive property damage and life losses. In recent years, a number of works have shed new light on the role played by Atmospheric Rivers (ARs) in the occurrence of extreme precipitation events in Europe as was the case in major historical floods in Duero (Pereira et al., 2016) and Tagus (Trigo et al., 2015) rivers in Iberia. The flash flood event that occurred on the Madeira Island on the 20 February 2010 with a deal toll of near 50 was due to an AR (Couto et al., 2012).

However, regarding the European Macaronesia islands (Azores, Madeira, and Canary) no comprehensive study has been made concerning the relationship between ARs and extreme precipitation. To do so, we have analysed recorded daily precipitation from different locations in the different European Macaronesia islands and computed the percentiles into 10% bins.

Regarding the ARs database we have used the method of Guan and Waliser et al., (2015) applied to 4 different reanalysis datasets (ERA-Interim; CFSR; MERRA2 and NCEP/NCAR). The use of multiple reanalyses is necessary to ensure more robust results since the Atlantic islands are relatively small and therefore changes in the resolution of the reanalysis datasets could influence the results.

It is shown that the ARs influence over extreme precipitation (above the 90th percentile) is higher in the Azores islands when compared with the Madeira or the Canary Islands. In the Azores, for the most extreme precipitation days, the presence of ARs is particularly high between 60% and 70% of the days) while for Madeira the importance of the ARs is reduced to 50-60% of the most extreme precipitation days. For the Canary Islands, the occurrence of ARs on extreme precipitation is usually below 50% of the days.

Acknowledgements: This work was supported by the project FORLAND – Hydrogeomorphologic risk in Portugal: driving forces and application for land use planning (PTDC/ATPGEO/1660/2014) funded by Fundação para a Ciência e a Tecnologia, Portugal (FCT). A. M. Ramos was also supported by a FCT postdoctoral grant (FCT/DFRH/ SFRH/BPD/84328/2012).

First International Electronic Conference on the Hydrological Cycle, doi: 10.3390/CHyCle-2017-04833
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Western Iberia is frequently struck by intense mid-latitude cyclones coming from the North Atlantic basin and often impinging extreme weather over large swaths of the Iberian Peninsula (IP). The spatial distribution and characterization of past floods and landslides with important social consequences in Portugal for the period 1865-2015 was performed within the context of the DISASTER project (Zezere et al., 2014). From this database, a major hydro-geomorphologic event was selected, the February 1979, in order to study its atmospheric forcings and to analyze its societal impacts.

The February 1979 event is a top ranked event in the DISASTER database regarding the total number of affected (18578), displaced (14322) and evacuated (4244) people in Portugal and in the Tagus basin (7677, 4816 and 2834, respectively).

Most of the days considered in this event produced daily precipitation values over or within the 90th-95th percentile of the corresponding long term daily precipitation series (available at high resolution between 1950 and 2008). Most of the event precipitation occurred in days characterized by wet Circulation Weather Types, i.e. cyclonic (C), west (W) or southwest (SW) types, which agrees with the assessment of wet days obtained by Trigo and DaCamara (2000) and Ramos et al. (2014) for the IP domain.

Also, throughout this period, the North Atlantic Ocean is crossed several times by narrow and prolonged bands of high moisture concentration, with cores above 9 g/kg, that originate near the Caribbean islands and move towards extratropical latitudes by the influence of southwestern low-level jets of medium or high intensity. These are mostly persistent Atmospheric Rivers (ARs) reaching the western IP coast and affecting most of the month of February until the 16th.

Overall, regarding the large-scale circulation, a deep low-pressure system located over the North Atlantic and reaching western IP, allowed for the frequent passage of frontal systems over the territory which was responsible for this precipitation event. In addition, local convective instabilities and strong moisture transport from the Tropical Atlantic produced an extremely intense 15-day precipitation event over western IP, that establishes as the meteorological trigger of the February 1979 Disaster event.


Acknowledgements: This work was financed by national funds through FCT - Portuguese Foundation for Science and Technology, I.P., under the framework of the project FORLAND Hydro-geomorphologic risk in Portugal: driving forces and application for land use planning (PTDC/ATPGEO/1660/2014). A. M. Ramos was also supported by a FCT postdoctoral grant (FCT/DFRH/ SFRH/BPD/84328/2012).

Article 1 Read 1 Citation Advancing land surface model development with satellite-based Earth observations Rene Orth, Emanuel Dutra, Isabel F. Trigo, Gianpaolo Balsamo Published: 11 May 2017
Hydrology and Earth System Sciences, doi: 10.5194/hess-21-2483-2017
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The land surface forms an essential part of the climate system. It interacts with the atmosphere through the exchange of water and energy and hence influences weather and climate, as well as their predictability. Correspondingly, the land surface model (LSM) is an essential part of any weather forecasting system. LSMs rely on partly poorly constrained parameters, due to sparse land surface observations. With the use of newly available land surface temperature observations, we show in this study that novel satellite-derived datasets help improve LSM configuration, and hence can contribute to improved weather predictability. We use the Hydrology Tiled ECMWF Scheme of Surface Exchanges over Land (HTESSEL) and validate it comprehensively against an array of Earth observation reference datasets, including the new land surface temperature product. This reveals satisfactory model performance in terms of hydrology but poor performance in terms of land surface temperature. This is due to inconsistencies of process representations in the model as identified from an analysis of perturbed parameter simulations. We show that HTESSEL can be more robustly calibrated with multiple instead of single reference datasets as this mitigates the impact of the structural inconsistencies. Finally, performing coupled global weather forecasts, we find that a more robust calibration of HTESSEL also contributes to improved weather forecast skills. In summary, new satellite-based Earth observations are shown to enhance the multi-dataset calibration of LSMs, thereby improving the representation of insufficiently captured processes, advancing weather predictability, and understanding of climate system feedbacks.
Article 0 Reads 0 Citations Inversion of AMSR-E observations for land surface temperature estimation: 2. Global comparison with infrared satellite t... S. L. Ermida, C. Jiménez, C. Prigent, Isabel Trigo, C. C. Da... Published: 14 March 2017
Journal of Geophysical Research: Atmospheres, doi: 10.1002/2016jd026148
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Article 1 Read 1 Citation Improving Land Surface Temperature Retrievals over Mountainous Regions Virgílio Bento, Carlos Dacamara, Isabel Trigo, João Martins,... Published: 05 January 2017
Remote Sensing, doi: 10.3390/rs9010038
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