Mercè Casas‐Prat

ORCID: 0000-0002-5710-9141
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About
Contact & Profiles
Research Areas
  • Ocean Waves and Remote Sensing
  • Coastal and Marine Dynamics
  • Tropical and Extratropical Cyclones Research
  • Oceanographic and Atmospheric Processes
  • Climate variability and models
  • Arctic and Antarctic ice dynamics
  • Hydrology and Drought Analysis
  • Hydrology and Watershed Management Studies
  • Coastal wetland ecosystem dynamics
  • Meteorological Phenomena and Simulations
  • Coastal and Marine Management
  • Flood Risk Assessment and Management
  • Cultural and Mythological Studies
  • Latin American history and culture
  • Marine and coastal ecosystems
  • Marine and Offshore Engineering Studies
  • Aquatic and Environmental Studies
  • Wave and Wind Energy Systems
  • Indigenous Cultures and History
  • Offshore Engineering and Technologies
  • Climate change and permafrost
  • Marine and coastal plant biology

Environment and Climate Change Canada
2015-2025

Universitat Politècnica de Catalunya
2009-2016

Barcelona Centre for International Affairs
2010-2016

Japan External Trade Organization
2009

This study presents simulations of the global ocean wave climate corresponding to surface winds and sea ice concentrations as simulated by five CMIP5 (Coupled Model Intercomparison Project Phase 5) models for historical (1979–2005) RCP8.5 scenario future (2081–2100) periods. To tackle numerical complexities associated with inclusion North Pole, WAVEWATCH III (WW3) model was used a customized unstructured Spherical Multi-Cell grid ∼100 km offshore ∼50 along coastlines. The wind data, WW3 were...

10.1016/j.ocemod.2017.12.003 article EN cc-by-nc-nd Ocean Modelling 2018-01-03

Abstract The Arctic Ocean wave climate is undergoing a dramatic change due to the sea ice retreat. This study presents simulations of regional corresponding surface winds and concentrations as simulated by five CMIP5 (Coupled Model Intercomparison Project Phase 5) models for historical (1975–2005) RCP8.5 scenario future (2081–2100) periods. annual maximum significant height projected increase up 6 m offshore two three times greater than 1979–2005 value along some coastlines, waves become...

10.1029/2019jc015745 article EN cc-by-nc-nd Journal of Geophysical Research Oceans 2020-07-07

Abstract This dataset, produced through the Coordinated Ocean Wave Climate Project (COWCLIP) phase 2, represents first coordinated multivariate ensemble of 21 st Century global wind-wave climate projections available (henceforth COWCLIP2.0). COWCLIP2.0 comprises general and extreme statistics significant wave height ( H S ), mean period T m direction θ ) computed over time-slices 1979–2004 2081–2100, at different frequency resolutions (monthly, seasonally annually). The full comprising 155...

10.1038/s41597-020-0446-2 article EN cc-by Scientific Data 2020-03-27

Abstract. The co-occurrence of (not necessarily extreme) precipitation and surge can lead to extreme inland water levels in coastal areas. In a previous work the positive dependence between two meteorological drivers was demonstrated managed system Netherlands by empirically investigating an 800-year time series levels, which were simulated via physical-based hydrological model driven regional climate large ensemble. this study, we present impact-focused multivariate statistical framework...

10.5194/hess-25-3595-2021 article EN cc-by Hydrology and earth system sciences 2021-06-24

Abstract Extreme surface ocean waves are often primary drivers of coastal flooding and erosion over various time scales. Hence, understanding future changes in extreme wave events owing to global warming is socio-economic environmental significance. However, our current knowledge potential high-frequency (defined here as having return periods less than 1 year) largely unknown, despite being strongly linked hazards across scales relevant management. Here, we present climate-modeling evidence,...

10.1088/1748-9326/ac1013 article EN cc-by Environmental Research Letters 2021-07-01

[1] Projected future regional wave climate scenarios at a high temporal-spatial scale were obtained for the NW Mediterranean Sea, using five combinations of regional-global circulation models. Changes in variables analyzed and related to variations forcing wind projections, while also evaluating evolution presence different types sea states. To assess significance changes produced, bootstrap-based method was proposed, which accounts autocorrelation data correctly reproduces extremes. For...

10.1002/jgrc.20233 article EN Journal of Geophysical Research Oceans 2013-05-13

Coastal flood damage is primarily the result of extreme sea levels. Climate change expected to drive an increase in these extremes. While proper estimation changes storm surges essential estimate levels, there remains low confidence future trends surge contribution Alerting local populations imminent levels also critical protecting coastal populations. Both predicting and projecting require reliable numerical prediction systems. The SurgeMIP (surge model intercomparison) community has been...

10.1016/j.wace.2024.100689 article EN cc-by-nc-nd Weather and Climate Extremes 2024-05-14

The short‐term statistics of 10 million individual waves observed with buoys in deep water have been investigated, corrected for a sample‐rate bias, and normalized the standard deviation surface elevation (the range wave heights is 0 < 10). trough depths are found to be Rayleigh distributed near‐perfect scaling. crest also but 3% higher than given by conventional distribution. not well predicted distribution (overprediction 9.5% on average), they very Rayleigh‐like distributions obtained...

10.1029/2009jc005742 article EN Journal of Geophysical Research Atmospheres 2010-09-01

This study examines the main physical processes related to coastal and port engineering that could be altered by future changes in wave parameters as a consequence of climate change. To estimate order magnitude potential these processes, several assumptions simplifications are made and, most cases, they assessed using simple, empirical state-of-the-art expressions. The studied grouped three categories according whether affect beaches, harbors or structures general. estimated function...

10.1007/s10584-014-1120-5 article EN cc-by Climatic Change 2014-04-22

Abstract The projected changes and trends in the regional annual monthly maxima of significant wave height ( H s ) Arctic Ocean are studied using simulations derived from CMIP5 (Coupled Model Intercomparison Project Phase 5) climate for 1979–2005 2081–2100 periods. Under RCP8.5 scenario, maximal increases on average up to ∼3 cm/year, or >0.5%/year, relative 1986–2005 climatological value, many areas (and 0.8%/year east side Ocean). While strong winds need occur large waves develop, wind...

10.1029/2020gl088100 article EN cc-by-nc-nd Geophysical Research Letters 2020-05-10

<title>Abstract</title> In the next 25 years an unprecedented number of new marine artificial structures, over 75,000 offshore wind turbines alone, are planned to meet global net zero targets. Structures required last for multiple decades in hostile environment; where largest cost across their whole lifecycle is on operations and maintenance dependent accessibility calm seas. However, role climate change accessibility, thus operational cost, has not been resolved. Here we provide first study...

10.21203/rs.3.rs-5805411/v1 preprint EN cc-by Research Square (Research Square) 2025-02-05

The effects of climate change are currently a red-hot issue in the scientific community. However, little attention has been paid to on wave and, particular, directionality. In this study, we developed methodology trend analysis and extrapolation mean climate. We used parameters typical rose: frequencies height intervals directional sectors. over time was estimated by means linear regression after applying transformation according nature (compositional) data. Then, extrapolated up 2050...

10.1007/s10584-012-0466-9 article EN cc-by Climatic Change 2012-05-16

This study proposes a computationally inexpensive statistical method for modeling ocean wave heights, focusing particularly on heights in near-shore areas. A multiple linear regression is used to predict significant (Hs) using predictors derived from the sea level pressure (SLP) field, including use of squared SLP gradients represent geostrophic winds. One time step lagged Hs also included as predictor, which could be interpreted first order derivative spectral energy balance governing...

10.1016/j.ocemod.2013.10.008 article EN cc-by-nc-sa Ocean Modelling 2013-11-09

Abstract. In the context of wave climate variability, long-term alterations in storminess pattern Catalan coast (northwestern Mediterranean Sea) are analysed terms energy content and direction, on basis hindcast data (from 44-year time series). general, no significant temporal trends found for annual mean maximum energy. However, same analysis carried out separately different directions reveals a remarkable increase storm events from south, which is partly due to rise percentage such storms....

10.5194/nhess-10-2327-2010 article EN cc-by Natural hazards and earth system sciences 2010-11-19

Abstract. The objective of the present work is to analyse how changes in wave patterns due effect climate change can affect harbour agitation (oscillations within port wind waves). study focuses on 13 harbours located Catalan coast (NW Mediterranean) using a methodology with general applicability. To obtain agitation, Boussinesq-type model used, which forced at boundaries by present/future offshore conditions extracted from recently developed high-resolution projections NW Mediterranean....

10.5194/nhess-15-1695-2015 article EN cc-by Natural hazards and earth system sciences 2015-08-03

This study assesses the effects of internal climate variability on wave height trend assessment using d4PDF-WaveHs, first single model initial-condition large ensemble (100-member) significant ( H s ) simulations for 1951–2010 period, which was produced sea level pressure taken from Japan’s d4PDF historical simulations. Here, focus is assessing trends in annual mean and maximum . The result compared with other that account sources uncertainty, modern reanalyses. It shown arising comparable...

10.3389/fmars.2022.847017 article EN cc-by Frontiers in Marine Science 2022-07-14

Abstract The d4PDF-WaveHs dataset represents the first single model initial-condition large ensemble of historical significant ocean wave height ( H s ) at a global scale. It was produced using an advanced statistical with predictors derived from Japan’s d4PDF simulations sea level pressure. provides 100 realizations for period 1951–2010 (hence 6,000 years data) on 1° × lat.-long. grid. Technical comparison skill against modern reanalysis and other datasets undertaken regional scales. unique...

10.1038/s41597-023-02058-6 article EN cc-by Scientific Data 2023-06-06

Abstract. In this paper changes in the wave pattern of Catalan coast are analyzed terms storminess and direction based on series 44 years hindcast data. The analysis is performed employing two different techniques: one resulting from combination regression bootstrapping other applying a Bayesian method. Although trends are, general, null, some locations there clear directional frequencies. These can significatively affect coastal hydrodynamics morphodynamics.

10.5194/adgeo-26-89-2010 article EN cc-by Advances in geosciences 2010-08-25
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