Publicacións

O CITEEC lidera a investigación en enxeñaría civil e edificación, enfocándose en solucións innovadoras para infraestruturas sostibles e materiais avanzados.

Home > Publicacións

publicacións

Investigación de vangarda para o desenvolvemento sostible

O CITEEC realiza investigación avanzada en enxeñaría civil, materiais, sustentabilidade e infraestruturas. A través de proxectos multidisciplinarios e colaboracións internacionais, xéranse publicacións científicas que abordan retos crave do sector. Nesta sección preséntanse as principais publicacións e resultados obtidos polos nosos grupos de investigación.

Accede a unha ampla variedade de publicacións científicas filtradas por temática, autor, ano e máis. Utiliza os filtros dispoñibles para atopar investigacións relevantes e obter detalles sobre cada unha das nosas contribucións ao avance do coñecemento.

Investigación de vangarda para o desenvolvemento sostible

Show all

2020

Bermúdez, María; Cea-Gómez, Luis; Uytven, Els Van; Willems, Patrick; Farfán-Durán, Juan F.; Puertas-Agudo, Jerónimo

A Robust Method to Update Local River Inundation Maps Using Global Climate Model Output and Weather Typing Based Statistical Downscaling Journal Article

In: Water Resources Management, vol. 34, no. 14, pp. 4345-4362, 2020, ISSN: 09204741, (cited By 21).

Abstract | Links | BibTeX | Etiquetas: Atmospheric circulation; Circulation type classifications; Extreme precipitation events; Future climate scenarios; Global climate model; Rainfall intensity duration frequency; Statistical downscaling; Temporal and spatial variability, atmospheric circulation; climate change; climate modeling; downscaling; extreme event; flow field; future prospect; global climate; precipitation intensity; rainfall; river flow; weather forecasting, Climate models, Flood control; Floods; Global warming; Hazards; Rain, Spain

@article{Bermúdez20204345,

title = {A Robust Method to Update Local River Inundation Maps Using Global Climate Model Output and Weather Typing Based Statistical Downscaling},

author = {María Bermúdez and Luis Cea-Gómez and Els Van Uytven and Patrick Willems and Juan F. Farfán-Durán and Jerónimo Puertas-Agudo},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85092131722&doi=10.1007%2fs11269-020-02673-7&partnerID=40&md5=dcaa061dbfd2065dc0ac5b230f033dd2},

doi = {10.1007/s11269-020-02673-7},

issn = {09204741},

year  = {2020},

date = {2020-01-01},

urldate = {2020-01-01},

journal = {Water Resources Management},

volume = {34},

number = {14},

pages = {4345-4362},

publisher = {Springer Science and Business Media B.V.},

abstract = {Global warming is changing the magnitude and frequency of extreme precipitation events. This requires updating local rainfall intensity-duration-frequency (IDF) curves and flood hazard maps according to the future climate scenarios. This is, however, far from straightforward, given our limited ability to model the effects of climate change on the temporal and spatial variability of rainfall at small scales. In this study, we develop a robust method to update local IDF relations for sub-daily rainfall extremes using Global Climate Model (GCM) data, and we apply it to a coastal town in NW Spain. First, the relationship between large-scale atmospheric circulation, described by means of Lamb Circulation Type classification (LCT), and rainfall events with potential for flood generation is analyzed. A broad ensemble set of GCM runs is used to identify frequency changes in LCTs, and to assess the occurrence of flood generating events in the future. In a parallel way, we use this Weather Type (WT) classification and climate-flood linkages to downscale rainfall from GCMs, and to determine the IDF curves for the future climate scenarios. A hydrological-hydraulic modeling chain is then used to quantify the changes in flood maps induced by the IDF changes. The results point to a future increase in rainfall intensity for all rainfall durations, which consequently results in an increased flood hazard in the urban area. While acknowledging the uncertainty in the GCM projections, the results show the need to update IDF standards and flood hazard maps to reflect potential changes in future extreme rainfall intensities. © 2020, Springer Nature B.V.},

note = {cited By 21},

keywords = {Atmospheric circulation; Circulation type classifications; Extreme precipitation events; Future climate scenarios; Global climate model; Rainfall intensity duration frequency; Statistical downscaling; Temporal and spatial variability, atmospheric circulation; climate change; climate modeling; downscaling; extreme event; flow field; future prospect; global climate; precipitation intensity; rainfall; river flow; weather forecasting, Climate models, Flood control; Floods; Global warming; Hazards; Rain, Spain},

pubstate = {published},

tppubtype = {article}

}