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Javier Acero     University Lecturer 
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Javier Acero published an article in September 2018.
Top co-authors
Sylvie Parey

18 shared publications

Electricité de France, Recherche & Développement, EDF Lab Chatou, Chatou, France

José Agustín García

4 shared publications

Departamento de Física, Instituto del Agua, Cambio Climático y Sostenibilidad, Universidad de Extremadura, Badajoz, Spain

10
Publications
24
Reads
3
Downloads
52
Citations
Publication Record
Distribution of Articles published per year 
(2005 - 2018)
Total number of journals
published in
 
9
 
Publications See all
Article 1 Read 1 Citation A Limit for the Values of the Dst Geomagnetic Index F. J. Acero, J. M. Vaquero, M. C. Gallego, J. A. García Published: 28 September 2018
Geophysical Research Letters, doi: 10.1029/2018gl079676
DOI See at publisher website
Article 3 Reads 1 Citation A Bayesian hierarchical spatio-temporal model for extreme rainfall in Extremadura (Spain) J. A. Garcia, J. Martin, L. Naranjo, F. J. Acero Published: 26 April 2018
Hydrological Sciences Journal, doi: 10.1080/02626667.2018.1457219
DOI See at publisher website
Article 0 Reads 2 Citations Return Level Estimation of Extreme Rainfall over the Iberian Peninsula: Comparison of Methods Francisco Javier Acero, Sylvie Parey, José Agustín García, D... Published: 09 February 2018
Water, doi: 10.3390/w10020179
DOI See at publisher website ABS Show/hide abstract
Different ways to estimate future return levels (RLs) for extreme rainfall, based on extreme value theory (EVT), are described and applied to the Iberian Peninsula (IP). The study was done for an ensemble of high quality rainfall time series observed in the IP during the period 1961–2010. Two approaches, peaks-over-threshold (POT) and block maxima (BM) with the generalized extreme value (GEV) distribution, were compared in order to identify which is the more appropriate for the estimation of RLs. For the first approach, which identifies trends in the parameters of the asymptotic distributions of extremes, both all-days and rainy-days-only datasets were considered because a major fraction of values of daily rainfall over the IP is zero. For the second approach, rainy-days-only data were considered showing how the mean, variance and number of rainy days evolve. The 20-year RLs expected for 2020 were estimated using these methods for three seasons: autumn, spring and winter. The GEV is less reliable than the POT because fixed blocks lead to the selection of non-extreme values. Future RLs obtained with the POT are greater than those estimated with the GEV, mainly because some gauges show significant positive trends for the number of rainy days. Autumn, rather than winter, is currently the season with the heaviest rainfall for some regions.
CONFERENCE-ARTICLE 13 Reads 0 Citations RETURN LEVEL ESTIMATION FOR EXTREME RAINFALL OVER THE IBERIAN PENINSULA: COMPARING METHODOLOGIES. Francisco Javier Acero, Sylvie Parey, José Agustín García, D... Published: 05 November 2017
Proceedings of First International Electronic Conference on the Hydrological Cycle, doi: 10.3390/CHyCle-2017-04837
DOI See at publisher website ABS Show/hide abstract

Different ways to estimate future return levels for extreme rainfall are described and applied to the Iberian Peninsula (IP), based on Extreme Value Theory (EVT). This study is made for an ensemble of high quality rainfall time series observed in the Iberian Peninsula over the period 1961-2010. Both, peaks-over-threshold (POT) approach and block maxima with the Generalized Extreme Value (GEV) distribution will be used and their results compared when linear trends are assumed in the parameters: threshold and scale parameter for POT and location and scale parameter for GEV. Both all-days and rainy-days-only data sets were considered, because rainfall over the IP is a special variable in that a large number of the values are 0. Another methodology is then tested, for rainy days only, considering the role of how the mean, variance, and number of rainy days evolve. The 20-year return levels (RLs) expected in 2020 were estimated using these methodologies for three seasons: fall, spring and winter. GEV is less reliable than POT because fixed blocks lead to the selection of non-extreme values. Future RLs obtained with POT are higher than those estimated with GEV, mainly for some observatories showing significant positive trend for the number of rainy days. Fall becomes the season with heaviest rainfall, rather than winter nowadays, for some regions.

Article 2 Reads 0 Citations Changes in heat wave characteristics over Extremadura (SW Spain) Francisco Javier Acero, María Isabel Fernández-Fernández, Ví... Published: 07 July 2017
Meteorology and Atmospheric Physics, doi: 10.1007/s00704-017-2210-x
DOI See at publisher website
Article 2 Reads 3 Citations Non-stationary future return levels for extreme rainfall over Extremadura (southwestern Iberian Peninsula) Francisco Javier Acero, Sylvie Parey, Thi Thu Huong Hoang, D... Published: 30 May 2017
Hydrological Sciences Journal, doi: 10.1080/02626667.2017.1328559
DOI See at publisher website
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