Next Article in Journal
Principal Component Weighted Index for Wastewater Quality Monitoring
Next Article in Special Issue
Flood Simulations in Mid-Latitude Agricultural Land Using Regional Current and Future Extreme Weathers
Previous Article in Journal
Financial Benefits of Mangroves for Surge Prone High-Value Areas
Previous Article in Special Issue
Selection of Bias Correction Methods to Assess the Impact of Climate Change on Flood Frequency Curves
Article

Assessment of Changes in Annual Maximum Precipitations in the Iberian Peninsula under Climate Change

Department of Civil Engineering: Hydraulics, Energy and Environment, Universidad Politécnica de Madrid, 28040 Madrid, Spain
*
Author to whom correspondence should be addressed.
Water 2019, 11(11), 2375; https://doi.org/10.3390/w11112375
Received: 13 October 2019 / Revised: 5 November 2019 / Accepted: 6 November 2019 / Published: 13 November 2019
(This article belongs to the Special Issue Influence of Climate Change on Floods)
Climate model projections can be used to assess the future expected behavior of extreme precipitation due to climate change. In Europe, the EURO-CORDEX project provides precipitation projections in the future under various representative concentration pathways (RCP), through regionalized outputs of Global Climate Models (GCM) by a set of Regional Climate Models (RCM). In this work, 12 combinations of GCM and RCM under two scenarios (RCP 4.5 and RCP 8.5) supplied by the EURO-CORDEX project are analyzed in the Iberian Peninsula and the Balearic Islands. Precipitation quantiles for a set of exceedance probabilities are estimated by using the Generalized Extreme Value (GEV) distribution function fitted by the L-moment method. Precipitation quantiles expected in the future period are compared with the precipitation quantiles in the control period, for each climate model. An approach based on Monte Carlo simulations is developed to assess the uncertainty from the climate model projections. Expected changes in the future are compared with the sampling uncertainty in the control period to identify statistically significant changes. The higher the significance threshold, the fewer cells with changes are identified. Consequently, a set of maps are obtained for various thresholds to assist the decision making process in subsequent climate change studies. View Full-Text
Keywords: precipitation quantiles; climate change; EURO-CORDEX; uncertainty; Iberian Peninsula precipitation quantiles; climate change; EURO-CORDEX; uncertainty; Iberian Peninsula
Show Figures

Figure 1

MDPI and ACS Style

Garijo, C.; Mediero, L. Assessment of Changes in Annual Maximum Precipitations in the Iberian Peninsula under Climate Change. Water 2019, 11, 2375. https://doi.org/10.3390/w11112375

AMA Style

Garijo C, Mediero L. Assessment of Changes in Annual Maximum Precipitations in the Iberian Peninsula under Climate Change. Water. 2019; 11(11):2375. https://doi.org/10.3390/w11112375

Chicago/Turabian Style

Garijo, Carlos, and Luis Mediero. 2019. "Assessment of Changes in Annual Maximum Precipitations in the Iberian Peninsula under Climate Change" Water 11, no. 11: 2375. https://doi.org/10.3390/w11112375

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop