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Miquel Tomas-Burguera   Mr.  Graduate Student or Post Graduate 
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Miquel Tomas-Burguera published an article in October 2018.
Top co-authors See all
Raquel Nieto

96 shared publications

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

Santiago Beguería

73 shared publications

Estación Experimental de Aula Dei; Consejo Superior de Investigaciones Científicas (EEAD-CSIC); Zaragoza Spain

Diego G. Miralles

57 shared publications

Laboratory of Hydrology and Water Management—Ghent University; Coupure links 653, 9000 Gent, Belgium

Luis Gimeno

53 shared publications

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

J. Ignacio López-Moreno

30 shared publications

Instituto Pirenaico de Ecología (IPE-CSIC), CSIC, Avenida Montañana 1005, 50059 Zaragoza, Spain

6
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Publication Record
Distribution of Articles published per year 

Total number of journals
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3
 
Publications
Article 0 Reads 0 Citations Computation of rainfall erosivity from daily precipitation amounts Santiago Beguería, Roberto Serrano-Notivoli, Miquel Tomás-Bu... Published: 01 October 2018
Science of The Total Environment, doi: 10.1016/j.scitotenv.2018.04.400
DOI See at publisher website
Article 0 Reads 0 Citations Optimal Interpolation scheme to generate reference crop evapotranspiration Miquel Tomás-Burguera, Santiago Beguería, Sergio Vicente-Ser... Published: 01 May 2018
Journal of Hydrology, doi: 10.1016/j.jhydrol.2018.03.025
DOI See at publisher website
CONFERENCE-ARTICLE 13 Reads 0 Citations Climatic influence on atmospheric evaporative demand in Estonia (1951-2015) Fernando Domínguez-Castro, Sergio Vicente-Serrano, Jaak Jaag... Published: 08 November 2017
First International Electronic Conference on the Hydrological Cycle, doi: 10.3390/CHyCle-2017-04860
DOI See at publisher website ABS Show/hide abstract

Atmospheric evaporative demand (ADE) trends at global scale are important to understand the impact of global warming in the hydrological cycle. But there is no consensus, in the global scale studies, about ADE variability and many areas have been ignored in regional studies. This is the case of Estonia, located in the eastern coast of the Baltic Sea between 57.5 and 59.5°N. To shed light on the ADE variability in the country we have studied the spatial and temporal variability of ET0 from 1951 to 2015.

We have computed ET0 from 9 high-quality meteorological stations by Penman–Monteith equation. We have analysed the spatial and temporal variability of ET0 and its main drivers i.e. maximum temperature, minimum temperature, wind speed, sunshine duration, relative humidity and atmospheric pressure.

ET0, at annual scale and country level, shows a positive and significant trend with a magnitude of change during the studied period of 5.3 mm decade-1, with the highest values during the spring (4.1 mm decade-1).  The costal series show a higher magnitude of change (7.1 mm decade-1in average) than the inland series (4.3 mm decade-1 in average), principally because coastal areas show greater magnitude of change during the summer. High significant correlation (r=0.7-0.8) have been found among computed ET0 and observed evaporation measurements with evaporation pan and lysimeter during the period 1968-2005.

At annual scale, during spring and summer ET0 is highly correlated with sunshine (positive), relative humidity (negative) and maximum temperature (positive). Meanwhile sunshine has no significate trend, maximum temperature shows positive and significant trend in all the series and seasons and relative humidity shows significant negative trends in 8 of the 9 series studied during the spring.

CONFERENCE-ARTICLE 29 Reads 0 Citations <strong>A proposed robust approach for calculating the Standardized Evapotranspiration Deficit Index (SEDI) at the globa... Sergio Vicente-Serrano, Diego Miralles, Fernando Dominguez-C... Published: 05 November 2017
First International Electronic Conference on the Hydrological Cycle, doi: 10.3390/CHyCle-2017-04832
DOI See at publisher website ABS Show/hide abstract

Here we propose a new methodology for calculating the Standardized Evapotranspiration Deficit Index (SEDI) at the global scale using the difference between the actual evapotranspiration (ET) and the atmospheric evaporative demand (AED). ET was estimated by the Global Land Evaporation Amsterdam Model (GLEAM) v3a. The SEDI has been proposed recently to quantify drought severity based on the difference between actual evapotranspiration (ET) and the atmospheric evaporative demand (AED). Our findings demonstrate that, regardless of the AED dataset used for calculations, a log-logistic distribution is needed in order to fit the ED time series. As such, in many regions worldwide, the SEDI is insensitive to the AED method used for calculation. The SEDI showed significant correlations with the Standardized Precipitation Evapotranspiration Index (SPEI) across a wide range of regions, particularly for short SPEI time-scales. Overall, while this work provides a robust approach for calculating spatially and temporally comparable SEDI estimates, regardless of the climate region and land surface conditions, further studies remain needed to assess the performance and the applicability of the SEDI to quantify drought severity across varying crop and natural vegetation areas.

CONFERENCE-ARTICLE 9 Reads 0 Citations <strong>Complex spatial and temporal influences of climatic drought time-scales on hydrological droughts in natural basi... Sergio Vicente-Serrano, Marina Peña-Gallardo, Jamie Hannafor... Published: 05 November 2017
First International Electronic Conference on the Hydrological Cycle, doi: 10.3390/CHyCle-2017-04835
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We have analysed the response of hydrological droughts to climatic droughts in different natural basins of United States of America. For this purpose we selected 289 complete series from an initial data set of 702 gauging stations, covering the period between 1940 and 2013. Drainage basins were obtained for each gauging station using a digital terrain model, and climate series (precipitation and the atmospheric evaporative demand) were obtained for each drainage series. A number of topographic, edaphic and remote sensing variables were quantified for each basin. A hydrological drought index (The Standardized Stream Flow Index-SSI) was obtained for each basin and the Standardized Precipitation Evapotranspiration Index (SPEI) was used as a metric of climatic drought severity. Relationship between different SPEI time scales and the SSI was quantified using Pearson’s correlations and the general patterns of response of hydrological droughts to climatic droughts were identified using a principal component analysis. In general there is a response of SSI to short SPEI time-scales but strong seasonality in this response is also found. Coherent geographic patterns were obtained from the analysis and the factors that control the different responses were analysed by means of a predictive discriminant analysis. Independent analysis for three periods (1940-1964, 1965-1989 and 1989-2013) were also performed and showed not important changes in the response of the SSI to the SPEI in the past 65 years.

CONFERENCE-ARTICLE 10 Reads 0 Citations <strong>Seasonal and annual daily precipitation risk maps for the Andean region of Peru</strong> Sergio Vicente-Serrano, Juan Lopez-Moreno, Kris Correa, Grin... Published: 05 November 2017
First International Electronic Conference on the Hydrological Cycle, doi: 10.3390/CHyCle-2017-04836
DOI See at publisher website ABS Show/hide abstract

We develop for the first time maps of annual and seasonal extreme precipitation risk in the Andean region of Peru. For this purpose, we used the complete daily precipitation records existing in Peru and after a careful quality control and homogeneity checking we selected 178 stations distributed across the mountainous chain. In each meteorological station, we obtained series of events of de-clustered daily intensity, total precipitation duration, total magnitude and dry-spell length. Using a peak-over-threshold approach we fitted the annual and seasonal series of these variables to a Generalized-Pareto distribution, obtained the distribution parameters and validated the performance of different thresholds to obtain reliable estimations of the precipitation probability. We found that a 90th percentile is in general the most suitable to develop the estimations for the different variables. The parameters obtained in the different meteorological stations were mapped using a universal krigging approach using the elevation and the distance to the ocean as co-variables. Maps of parameters were validated using a jack-knife approach and maximum expected precipitation intensity, magnitude, duration and dry-spell length estimated for a period of 25 and 50 years. The reliability of the spatial methodology was validated comparing observed precipitation and estimated by the spatial modelling in the different stations.

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