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Kris Milagros Correa Marrou   Ms.  Other 
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Kris Milagros Correa Marrou published an article in November 2017.
Top co-authors See all
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

J. Ignacio López-Moreno

30 shared publications

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

Marina Peña-Gallardo

9 shared publications

Instituto Pirenaico de Ecología (IPE-CSIC), 50192 Zaragoza, Spain

Ahmed El Kenawy

7 shared publications

Instituto Pirenaico de Ecología (IPE-CSIC), 50192 Zaragoza, Spain

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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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