Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Cristina Izaguirre"'
Publikováno v:
Nature Climate Change. 11:14-20
The ports sector is critical to global transport and trade. Climate change may compromise port operations, resulting in an increase in operational shutdowns and subsequent economic losses. Here, we present an analysis of historical global risk across
Climate-related extreme events such as Hurricane Katrina (2005) or Maria (2017); Superstorm Sandy (2012), extreme precipitation or heat waves have directly hit many ports around the world in recent years. Ports are becoming increasingly aware of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d908adeeeda9a1f8d93b7e8f872fcca0
https://hdl.handle.net/10986/35255
https://hdl.handle.net/10986/35255
Publikováno v:
Earth's Future. 5:918-933
Global multimodel wave climate projections are obtained at 1.0° × 1.0° scale from 30 Coupled Model Intercomparison Project Phase 5 (CMIP5) global circulation model (GCM) realizations. A semi-supervised weather-typing approach based on a characteri
Publikováno v:
Natural hazards and earth system sciences discussions 2017-150
UCrea Repositorio Abierto de la Universidad de Cantabria
Universidad de Cantabria (UC)
UCrea Repositorio Abierto de la Universidad de Cantabria
Universidad de Cantabria (UC)
The aim of this paper is to provide a methodology to assess flooding risk associated to the combination of extreme flooding levels driven by Tropical Cyclone (TCs) and relative sea level rise (RSLR). The approach is based on the risk conceptual frame
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31e69f3986c8baa2b9652a26fc5142e6
https://doi.org/10.5194/nhess-2017-150
https://doi.org/10.5194/nhess-2017-150
Autor:
Inigo J. Losada, Jorge Perez, Ana Rueda, Antonio Espejo, Raúl Medina, Verónica Cánovas, Melisa Menendez, Paula Camus, Cristina Izaguirre, Fernando J. Méndez
Publikováno v:
Journal of Geophysical Research. Oceans Volume 119, Issue 11 November 2014 Pages 7389–7405
UCrea Repositorio Abierto de la Universidad de Cantabria
Universidad de Cantabria (UC)
UCrea Repositorio Abierto de la Universidad de Cantabria
Universidad de Cantabria (UC)
Wave climate characterization at different time scales (long-term historical periods, seasonal prediction, and future projections) is required for a broad number of marine activities. Wave reanalysis databases have become a valuable source of informa
Autor:
Paula Camus, Beatriz Rodriguez, A. Tomas, Gabriel Diaz-Hernandez, Iñigo J. Losada, Cristina Izaguirre
Publikováno v:
Scopus-Elsevier
Harbors are strategic infrastructures within the local, regional and global economy. The objective of a harbor is to guarantee the safety, serviceability and exploitation of all activities, for each element, and in all project phases. Within this con
Publikováno v:
Climatic Change. 119:277-290
The spatial and temporal variability of extreme wave climate along the Central-South American continent is analyzed. The study evaluates changes in the intensity of extreme significant wave height (SWH) throughout the year over the 1980–2008 period
Publikováno v:
Coastal Engineering. 72:56-68
Large-scale wave reanalysis databases (0.1°–1° spatial resolution) provide valuable information for wave climate research and ocean applications which require long-term time series (> 20 years) of hourly sea state parameters. However, coastal stu
Autor:
Fernando J. Méndez, Inigo J. Losada, Melisa Menendez, Paula Camus, Cristina Izaguirre, Roberto Mínguez
Publikováno v:
Ocean Modelling. :31-40
The extreme wave climate is of paramount importance for: (i) off-shore and coastal engineering design, (ii) ship design and maritime transportation, or (iii) analysis of coastal processes. Identifying the synoptic patterns that produce extreme waves
Publikováno v:
Environmental Modelling & Software. 25:1592-1607
Recent advances in the description of environmental and geophysical extreme events allow incorporating smooth time variations for the parameters of the GEV distribution using harmonic functions, long-term trends and covariates (North Atlantic Oscilla