Jose A. A. Antolinez

Verified @gmail.com

Coastal Engineering, Hydraulic Engineering, Civil Engineering and Geosciences Faculty
Delft University of Technology

Jose A. A. Antolinez


               Download Compact PDF  
https://researchid.co/josseaaa
63

Scopus Publications

1493

Scholar Citations

22

Scholar h-index

35

Scholar i10-index

Scopus Publications

  • Coastal process understanding through automated identification of recurring surface dynamics in permanent laser scanning data of a sandy beach
    Daan Hulskemper, José A. Á. Antolínez, Roderik Lindenbergh, Katharina Anders
    Earth Surface Dynamics, 2026
    Four-dimensional (4D) topographic datasets are increasingly available at high spatial and temporal resolution, particularly from permanent terrestrial laser scanning (PLS) time series. These data offer unprecedented opportunities to analyse rapid and complex morphological processes occurring in sandy coastal environments, such as sandbar welding or bulldozer activity, as well as their longer-term impacts on sandy beaches. However, studying these processes requires the extraction and recognition of recurrent topographical surface dynamics across time, which in turn demands novel, automated methods. This study presents a novel workflow that combines 4D objects-by-change (4D-OBCs) with unsupervised classification using Self-Organizing Maps (SOMs) and hierarchical clustering. Applied to a three-year PLS time series comprising 21 194 hourly point clouds, the method identifies 4412 instances of short-term surface dynamics. These are organized into two SOMs (64 nodes each) and further grouped into 31 clusters representing distinct dynamic types, such as berm deposition, large-scale backshore erosion, and human interventions (e.g., bulldozer activity). The classification results enable detailed spatiotemporal analyses of coastal morphodynamics. The SOM topology reveals seasonal patterns in surface activity, where, for example, winter is dominated by erosional activity over the whole beach but depositional activity mainly occurs in the intertidal area. The broader clusters facilitate interpretation of environmental responses and identification of changes in cross-shore zonation of types of dynamics, like berm formation. This approach demonstrates the potential of integrating PLS and unsupervised learning to characterize complex surface dynamics, through a fully automated extraction and classification workflow. While the interpretation of clusters and their relation to environmental variables in this study is performed through expert-based analysis, the methods provide a framework for targeted, data-driven investigation and prediction of morphodynamic processes in high-resolution 4D remote sensing datasets.
  • Tail dependence of surge height and wind speed along the Dutch coast for storm clusters from large simulated datasets
    Paulina E. Kindermann, José A. Á. Antolínez, Oswaldo Morales-Nápoles
    Natural Hazards, 2026
    This study explores the statistical dependence between wind speed and surge height along the Dutch coast using a large synthetic dataset. Storms were clustered based on wind direction, tidal offset, wind rotation, tidal peak, surge and wind exceedance duration, resulting in 16 clusters per wind direction and per location. Apart from wind direction, comparing clusters revealed a limited impact of clustering based on these storm characteristics on the choice of the best-fitting copula model, suggesting sub-clustering may not be necessary for accurately representing the statistical dependence between extreme wind speeds and surge heights. The BB8 copula generally provided the best fit to the data. However, the observed upper tail dependence did not decrease to zero, particularly for western to northern wind directions, indicating non-negligible dependence in joint extremes of wind speed and surge height. Therefore, applying the BB8 copula (or any other copula model without upper tail dependence) may lead to underestimation of the flood risk, when applied in probabilistic analyses. The findings from this study provide valuable insights for refining hydraulic load models for reliability assessments and design of flood defenses.
  • Vulnerability of Key Sea Turtle Nesting Beaches to Future Erosion and Sea Level Rise
    Jakob C. Christiaanse, Sean Vitousek, Ad J. H. M. Reniers, José A. A. Antolínez
    Earth S Future, 2026
    Threatened sea turtles rely on sandy beaches for nesting, linking their long‐term survival to global beach availability. However, beaches worldwide are increasingly threatened by anthropogenic stressors and sea level rise (SLR). Reliable vulnerability assessments require understanding beach dynamics across multiple time scales, informed by long‐term coastal change records. While many nesting beaches lie in remote, data‐poor environments, recent advances in coastal remote sensing now allow us to monitor coastal change worldwide. Here, we combine satellite‐derived shorelines (CoastSat), shoreline modeling (CoSMoS‐COAST), and global data sets to investigate shoreline evolution and future vulnerability at nine globally important sea turtle nesting sites. We investigate seasonal and long‐term shoreline change, hindcast (1980–2024) and forecast (2025–2100) shoreline positions under various SLR scenarios, and quantify available accommodation space based on backbeach elevation and infrastructure footprints. We find that shoreline evolution and vulnerability vary considerably, with three sites showing historical accretion trends and four sites showing erosion. This demonstrates that the previously widely applied bathtub approach—adding SLR to a static beach profile—is not suitable to assess the vulnerability of sea turtle nesting beaches to erosion. Three eroding beaches emerge as particularly vulnerable due to projected shoreline retreat coupled with limited accommodation space. Despite significant uncertainties arising from long‐term shoreline projections, our results provide important insights into seasonal and long‐term morphodynamics, identify vulnerable nesting sites, and offer a comprehensive, transferable framework for assessing shoreline evolution and relative erosion vulnerability at other sites. Understanding these dynamics is crucial to inform conservation and management strategies to future‐proof these critical nesting habitats.
  • Beyond understanding the role of far-field climate in the Gulf of Panama coastal dynamics: an analysis of long-term and seasonal variability of wave systems
    Ruby Vallarino-Castillo, José A. A. Antolínez, Vicente Negro-Valdecantos, Jesús Portilla-Yandún
    Climate Dynamics, 2026
    Understanding wave systems (WS) dynamics in semi-enclosed tropical basins is challenging due to interactions between remote wave generation and regional climate variability. In the Gulf of Panama, prior studies mainly relied on single-site offshore analyses, limiting characterization of wave energy distribution and its atmospheric and oceanic drivers. This gap in knowledge is particularly consequential for coastal hazard assessments and for deciphering ocean–atmosphere interactions in regions influenced by both long-period swells and low-level wind jets. To address this limitation, we present a comprehensive multi-decadal analysis of the seasonal and long-term variability of significant wave height (Hs) and peak wave period (Tp), based on WS identified applying spectral statistical techniques using the GLOSWAC-5 atlas. To understand the variability and the modulating effect of the Gulf of Panama semi-enclosed morphology, three representative sites at its entrance were selected. Monthly patterns were analyzed by classifying wave trains according to relative orientation (i.e., following, crossing, and opposing) to determine the predominant direction and multimodal activity. Long-term trends were assessed over 17 to 18-year intervals (i.e. 1969–1987, 1988–2005, 2006–2023) using exploratory analysis and quantile regression, with results reported separately for the dry season (December–April) and the wet season (May–November). The analysis revealed five dominant WS, each associated with specific generation mechanisms and geographic origins: WS1, associated with Southern Ocean swells; WS5, originating from Northern Hemisphere swells; WS2, driven by southeasterly trade winds from the subtropical Pacific; and two regionally forced systems, WS3 and WS4, generated by the Panama and Chocó Low-Level Jets, respectively. WS1 shows increases in Hs of about 5–10 cm during 1969–1987 and 1988–2005, and up to ~ 15 cm in 2006–2023, with Tp rising by ~ 0.3–0.6 s over the same intervals. WS2 exhibits small variations, with Hs ranging from − 10 to + 17 cm and Tp fluctuations within ± 0.3 s across the three intervals. WS3 displays the strongest changes, with median Hs increases of 10–30 cm in the first two intervals and extreme values reaching 50–60 cm in 1988–2005 and 2006–2023, together with Tp increments of ~ 0.3–0.5 s. WS4 remains comparatively stable in all periods, with Hs variations within ± 10 cm and Tp changes < 0.4 s. WS5 intensifies mainly in 2006–2023, showing Hs increases of 8–15 cm and Tp rises of ~ 0.2–0.4 s. Monthly mean Hs anomalies (> 0.10 m) at the 50th percentile suggest a relationship with El Niño–Southern Oscillation (ENSO), but analyses using the 95th percentile reveal that only WS2, WS3, and WS4 exhibit a stronger association with ENSO phases.
  • Spatial Clustering of Sea Level Hydrographs Across the Dutch Coast
    Mia Pupić Vurilj, José A. A. Antolínez, Oswaldo Morales-Nápoles
    Coastal Research Library, 2026
    Extreme sea level events pose significant risks to coastal regions, with non-tidal residuals (NTRs) being a primary driver in low-lying areas like the Netherlands, where shallow seas amplify their impact. This study investigates the spatial patterns of NTRs along the Dutch coast using time series clustering on historical NTR hydrographs. The design of hydraulic boundary conditions divides the Netherlands into three coastal regions. To evaluate whether this division sufficiently captures regional variability, three clustering scenarios (k = 3, k = 4, and k = 5) were explored. The analysis identified k = 5 as the optimal configuration based on the Davies-Bouldin index. This result emphasized the importance of fine-scale approaches to understanding regional spatial variations in NTR dynamics. Regional bathymetry and tide-surge interactions were explored as drivers of these spatial patterns. Southern stations near river systems and deeper waters displayed characteristics distinct from northern stations in the Wadden Sea, which are influenced by shallow tidal flats. Analysis of the M2 tidal constituent and the timing of NTR maxima relative to high tides underscored the role of tidal dynamics in shaping spatial clusters. Future research will focus on integrating spatio-temporal patterns and environmental drivers into clustering methodologies, providing deeper insights for coastal risk management and adaptation strategies.
  • Evaluation of Clustering Techniques for Revealing Dependence Between Wind Speed and Surge Height
    Paulina E. Kindermann, José A. A. Antolínez, Oswaldo Morales-Nápoles
    Coastal Research Library, 2026
    Extreme storms over the North Sea drive coastal flood risk in the Netherlands, causing high waves and extreme sea levels. Designing flood defenses requires accurate statistical extrapolation of hydraulic load conditions with return periods of 1,000 years or more. This is a challenging task given limited observational data. This study uses a large, simulated dataset (~9,000 years) to explore the statistical dependence between extreme wind speed u and surge height s . Storms were clustered using several techniques. Self-organizing maps (SOM) effectively captured physical relationships, such as the influence of wind direction and tidal offset on storm dynamics, however variability in statistical dependence between u and s for different clusters was better represented using manual clusters. Copula models were fitted to the cluster data, with the BB8 copula outperforming others. This study illustrates the potential of machine learning to identify patterns in large datasets while emphasizing the relevance of manual clustering approaches for revealing nuanced statistical dependencies critical to flood risk assessment.
  • Editorial: Prediction of coastal morphological evolution in the context of climate change adaptation and nature-based engineering
    Sergio Maldonado, José A. A. Antolinez, Nicholas Dodd, Rodolfo Silva
    Frontiers in Marine Science, 2026
    Prediction of coastal morphological evolution in the context of climate change adaptation and nature-based engineeringCoastal communities worldwide are facing accelerating pressures from rising sea levels, changing storm patterns, and shifting sediment dynamics.These trends demand reliable tools for predicting morphological evolution.Despite advances in this area, existing engineering tools still struggle to predict morphological evolution, especially in settings shaped by interventions such as nature-based solutions aimed at fostering climate-resilient coastal development.Modelling morphological change, which unfolds over much longer timescales than hydrodynamic processes, remains a challenge due to the complexity of sediment transport and related interactions, including flow-vegetation effects and human interventions.These challenges are further heightened by uncertainties in long-term climate projections.Therefore, developing and testing engineering tools capable of delivering reliable predictions is essential for planning effective short-and long-term responses to coastal erosion and flooding.This Research Topic seeks to advance the existing coastal engineering toolbox, enabling reliable long-term predictions of coastal morphological evolution and flooding in the context of climate change and multi-biophysical phenomena, such as sediment transport and flow-vegetation interactions.Six studies contributed to this Research Topic, spanning riverine sediment supply, estuarine and dyke breach dynamics, vegetated coastal defences, and probabilistic methods for projecting flooding and erosion.These contributions,
  • Uncovering Causation of Short-Term Sandy Beach Surface Dynamics Measured by Permanent Laser Scanning
    Daan Hulskemper, Katharina Anders, José A. A. Antolínez, Roderik Lindenbergh
    Coastal Research Library, 2026
    The causal drivers of short-term changes (days to months) in human-, wind-, and wave-driven sand transport on a sandy beach are not often considered in an integral and data-driven approach. However, improving current knowledge on (urban) sandy beach topographical change requires the incorporation of multi-scale, cross-sectional and human factors. In this research we process a time series of 21,194 hourly point clouds, obtained in a Permanent Terrestrial Laser Scanning setup. From this 3D time series we extract 5,102 short-term temporary surface dynamics, through a method called 4D objects-by-change (4D-OBCs). The causal drivers of two of these 4D-OBCs are investigated in detail. One is interpreted as an aeolian depositional surface dynamic (1), and one as a bulldozer deposit, that consecutively eroded under high wave energy conditions (2). The dynamics show clear correlation to a particular combination of wind direction and intensity (1), and wave height and wave period (2), indicating that point cloud time series derived 4D-OBCs are useful data to study causality of short-term surface dynamics of different origins. However, to study these surface dynamics systematically and derive statistical proof of causal relations we must consider multivariate correlations, as well as spatiotemporal dependence between sediment dynamics and larger scale morphological changes on the beach.
  • Predicting Shoreline Orientation on Diverse Coastal Environments
    Mayowa Basit Abdulsalam, Camilo Jaramillo, Lucas de Freitas, Mauricio González, José A. A. Antolínez
    Coastal Research Library, 2026
    Coastal zones are highly dynamic environments shaped by various environmental forcing agents such as waves and nearshore currents operating across diverse spatio-temporal scales. For effective decision-making, coastal managers require simplified, computationally efficient models to predict future shoreline morphodynamics. Among the models developed over the years, equilibrium-based shoreline evolution models (EBSEMs) have garnered significant attention for their computational efficiency. However, their application has mainly been limited to microtidal sandy beaches when simulating shoreline orientation, necessitating further evaluation across broader coastal settings. This study investigates the applicability of EBSEMs in predicting shoreline rotational variability at two morphologically distinct sites: Narrabeen Beach, Australia, and Moncofa Beach, Spain. These sites differ in sediment size, tidal regimes, data sources, observation periods, and monitoring frequencies, providing a robust framework for model evaluation. Results demonstrate that the EBSEM successfully replicates the general trends of shoreline orientation variability on both sites, qualitatively and quantitatively. Seasonal rotation trends were accurately captured, emphasizing the model’s capability to operate across varying spatial and temporal scales. These findings further reinforced the capabilities of EBSEMs as practical tools for coastal management, particularly for predicting shoreline orientation changes under diverse environmental conditions.
  • Probabilistic Forecasting of Shoreline Evolution: A Case Study Using Genetic Algorithms
    Lucas de Freitas, Camilo Jaramillo, José A. A. Antolínez, Mauricio González, Raúl Medina
    Coastal Research Library, 2026
    Sandy beach erosion is a pressing concern for coastal regions worldwide, driven by both natural processes and human-induced pressures. This study presents an ensemble modeling approach for predicting sandy shoreline dynamics using an equilibrium-based shoreline evolution model (EBSEM). A genetic algorithm (NSGA-II) was employed to calibrate multiple parameter sets, capturing the inherent uncertainty in model parameters. The method was tested with a publicly available dataset from Tairua Beach (New Zealand), spanning 14 years of high-resolution shoreline measurements. Results reveal a near-linear relationship between the slope and intercept parameters governing equilibrium wave energy, and demonstrate that the best-fit solution generally lies within the ensemble range. Comparisons of ensemble simulations with observed data indicate strong agreement in both calibration and validation phases, although certain extreme accretion and erosion events were underestimated. Overall, this ensemble framework provides a robust tool for medium- to long-term shoreline predictions, bringing coastal managers with stochastic/probabilistic estimates of shoreline change, which can be useful in the assessment of resilience of adaptive strategies for risk mitigation.
  • The Effect of Beach Buildings on Decadal Dune Volume Development
    Sander Vos, Daan Hulskemper, Christa IJzendoorn, Alain de Wulf, Roderik Lindenbergh, José A. A. Antolinez
    Coastal Research Library, 2026
  • Runup Modeling in Low-Data Coral Reef Environments: Implications for Nesting Sea Turtles
    Daniel Dédina, Jakob C. Christiaanse, Floortje Roelvink, Ahmed I. A. Elshinnawy, Robert T. McCall, Ad Reniers, Carlos Duarte, José A. A. Antolinez
    Coastal Research Library, 2026
  • BlueMath-Hub: A Cloud-Based, Open-Source, Python Framework with Interactive Notebooks for Statistical Analysis and Simulation of Coastal Climate Hazards in a Changing Climate
    Laura Cagigal, Valvanuz Fernandez-Quiruelas, Fernando Méndez, Javier Tausia, Jared Ortiz-Angulo, Alba Ricondo, Paula Camus, Antonio S. Cofino, Dylan Anderson, Peter Ruggiero, Meredith Leung, Mark Merrifield, John Marra, Borja G. Reguero, David Gutierrez-Barcelo, Ron Hoeke, Emilio Echevarria, José A. A. Antolinez, Giovanni Coco, Brad Murray, Jayantha Obeysekera
    Coastal Research Library, 2026
  • Publisher Correction: Quantifying uncertainty in wave attenuation by mangroves to inform coastal green belt policies (Communications Earth & Environment, (2025), 6, 1, (258), 10.1038/s43247-025-02178-4)
    Bregje K. van Wesenbeeck, Vincent T. M. van Zelst, Jose A. A Antolinez, Wiebe P. de Boer
    Communications Earth and Environment, 2025
  • Quantifying uncertainty in wave attenuation by mangroves to inform coastal green belt policies
    Bregje K. van Wesenbeeck, Vincent T. M. van Zelst, Jose A. A Antolinez, Wiebe P. de Boer
    Communications Earth and Environment, 2025
  • Measurements of groundwater, hydrodynamics, and sand characteristics at a dissipative sea turtle nesting beach
    Jakob C. Christiaanse, José A. A. Antolínez, Meye J. van der Grinten, Falco Taal, Jens Figlus, Timothy M. Dellapenna, Benjamin Ritt, Christopher D. Marshall, Peter A. Tereszkiewicz, Nicholas Cohn, Edward J. Majzlik, Ad J. H. M. Reniers
    Scientific Data, 2025
  • Benchmarking shoreline prediction models over multi-decadal timescales
    Yongjing Mao, Giovanni Coco, Sean Vitousek, Jose A. A. Antolinez, Georgios Azorakos, Masayuki Banno, Clément Bouvier, Karin R. Bryan, Laura Cagigal, Kit Calcraft, Bruno Castelle, Xinyu Chen, Maurizio D’Anna, Lucas de Freitas Pereira, Iñaki de Santiago, Aditya N. Deshmukh, Bixuan Dong, Ahmed Elghandour, Amirmahdi Gohari, Eduardo Gomez-de la Peña, Mitchell D. Harley, Michael Ibrahim, Déborah Idier, Camilo Jaramillo Cardona, Changbin Lim, Ivana Mingo, Julian O’Grady, Daniel Pais, Oxana Repina, Arthur Robinet, Dano Roelvink, Joshua Simmons, Erdinc Sogut, Katie Wilson, Kristen D. Splinter
    Communications Earth and Environment, 2025
  • Global Analysis of Storm Surge Seasonality
    Ayoola Apolola, Philip J. Ward, Timothy Tiggeloven, José A. Á. Antolínez, Wiebke Jäger, Sanne Muis
    Journal of Geophysical Research Oceans, 2025
  • Beach groundwater response to ocean processes and rain on a mild-sloping barrier island: Implications for sea turtle nest flooding
    Jakob C. Christiaanse, José A.A. Antolínez, Christopher D. Marshall, Jens Figlus, Timothy M. Dellapenna, Ad J.H.M. Reniers
    Coastal Engineering, 2025
  • Assessing shoreline orientation variation across diverse coastal environments
    Mayowa Basit Abdulsalam, Camilo Jaramillo, Lucas de Freitas, Mauricio González, José A.Á. Antolínez
    Coastal Engineering, 2025
  • Wave runup extraction on dissipative beaches: New video-based methods
    Meye J. van der Grinten, Jakob C. Christiaanse, Ad J.H.M. Reniers, Falco Taal, Jens Figlus, José A.A. Antolínez
    Coastal Engineering, 2025
  • Storm surge hydrographs from historical observations of sea level along the Dutch North Sea coast
    Mia Pupić Vurilj, José A. Á. Antolínez, Sanne Muis, Oswaldo Morales Napoles
    Natural Hazards, 2025
  • Evaluating five shoreline change models against 40 years of field survey data at an embayed sandy beach
    Oxana Repina, Rafael C. Carvalho, Giovanni Coco, José A.Á. Antolínez, Iñaki de Santiago, Mitchell D. Harley, Camilo Jaramillo, Kristen D. Splinter, Sean Vitousek, Colin D. Woodroffe
    Coastal Engineering, 2025
  • Accelerating compound flood risk assessments through active learning: A case study of Charleston County (USA)
    Lucas Terlinden-Ruhl, Anaïs Couasnon, Dirk Eilander, Gijs G. Hendrickx, Patricia Mares-Nasarre, José A. Á. Antolínez
    Natural Hazards and Earth System Sciences, 2025
  • Aiding sea turtle conservation through coastal management
    Jakob C. Christiaanse, Ad J. H. M. Reniers, Stefan G. J. Aarninkhof, Elias F. Ostertag, Ronel Nel, Carlos M. Duarte, José A. A. Antolínez
    Frontiers in Marine Science, 2025
  • Distribution of global sea turtle nesting explained from regional-scale coastal characteristics
    Jakob C. Christiaanse, José A. A. Antolínez, Arjen P. Luijendijk, Panagiotis Athanasiou, Carlos M. Duarte, Stefan Aarninkhof
    Scientific Reports, 2024
  • Rapid simulation of wave runup on morphologically diverse, reef-lined coasts with the BEWARE-2 (Broad-range Estimator of Wave Attack in Reef Environments) meta-process model
    Robert McCall, Curt Storlazzi, Floortje Roelvink, Stuart G. Pearson, Roel de Goede, José A. Á. Antolínez
    Natural Hazards and Earth System Sciences, 2024
  • Identifying topographic changes at the beach using multiple years of permanent laser scanning
    Mieke Kuschnerus, Sierd de Vries, José A.Á. Antolínez, Sander Vos, Roderik Lindenbergh
    Coastal Engineering, 2024
  • Accounting for uncertainties in forecasting tropical-cyclone-induced compound flooding
    Kees Nederhoff, Maarten van Ormondt, Jay Veeramony, Ap van Dongeren, José Antonio Álvarez Antolínez, Tim Leijnse, Dano Roelvink
    Geoscientific Model Development, 2024
  • On the projected changes in New Zealand's wave climate and its main drivers
    João Albuquerque, Jose A. A. Antolínez, Fernando J. Méndez, Giovanni Coco
    New Zealand Journal of Marine and Freshwater Research, 2024
  • Impacts of large scale climate modes on the current and future bimodal wave climate of a semi-protected shallow gulf
    Benjamin Perry, Bas Huisman, José A. A. Antolínez, Patrick A. Hesp, Graziela Miot da Silva
    Frontiers in Marine Science, 2024
  • Sensitivity of salt intrusion to estuary-scale changes: A systematic modelling study towards nature-based mitigation measures
    Gijs G. Hendrickx, Wouter M. Kranenburg, José A.A. Antolínez, Ymkje Huismans, Stefan G.J. Aarninkhof, Peter M.J. Herman
    Estuarine Coastal and Shelf Science, 2023
  • ESTUARINE SENSITIVITY TO NATURE-BASED SALT INTRUSION MITIGATION MEASURES
    Proceedings of the Coastal Engineering Conference, 2023
  • UNRAVELING MULTIMODAL NEARSHORE WIND-WAVE FIELDS ON THE DUTCH SHOREFACE
    Proceedings of the Coastal Engineering Conference, 2023
  • Global Projections of Storm Surges Using High-Resolution CMIP6 Climate Models
    Sanne Muis, Jeroen C. J. H. Aerts, José A. Á. Antolínez, Job C. Dullaart, Trang Minh Duong, Li Erikson, Rein J. Haarsma, Maialen Irazoqui Apecechea, Matthias Mengel, Dewi Le Bars, Andrea O’Neill, Roshanka Ranasinghe, Malcolm J. Roberts, Martin Verlaan, Philip J. Ward, Kun Yan
    Earth S Future, 2023
  • Predicting the response of complex systems for coastal management
    Gijs G. Hendrickx, José A.A. Antolínez, Peter M.J. Herman
    Coastal Engineering, 2023
  • A changing wave climate in the Mediterranean Sea during 58-years using UERRA-MESCAN-SURFEX high-resolution wind fields
    Ahmed I. Elshinnawy, Jose A.Á. Antolínez
    Ocean Engineering, 2023
  • Uncertainties in wave-driven longshore sediment transport projections presented by a dynamic CMIP6-based ensemble
    Amin Reza Zarifsanayei, José A. A. Antolínez, Nick Cartwright, Amir Etemad-Shahidi, Darrell Strauss, Gil Lemos, Alvaro Semedo, Rajesh Kumar, Mikhail Dobrynin, Adem Akpinar
    Frontiers in Marine Science, 2023
  • CHARACTERIZATION OF MORPHOLOGICAL SURFACE ACTIVITIES DERIVED FROM NEAR-CONTINUOUS TERRESTRIAL LIDAR TIME SERIES
    D. Hulskemper, K. Anders, J. A. Á. Antolínez, M. Kuschnerus, B. Höfle, R. Lindenbergh
    International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences ISPRS Archives, 2022
  • Estimating dune erosion at the regional scale using a meta-model based on neural networks
    Panagiotis Athanasiou, Ap van Dongeren, Alessio Giardino, Michalis Vousdoukas, Jose A. A. Antolinez, Roshanka Ranasinghe
    Natural Hazards and Earth System Sciences, 2022
  • Wave attenuation through forests under extreme conditions
    Bregje K. van Wesenbeeck, Guido Wolters, José A. A. Antolínez, Sudarshini A. Kalloe, Bas Hofland, Wiebe P. de Boer, Ceylan Çete, Tjeerd J. Bouma
    Scientific Reports, 2022
  • Estimating tropical cyclone-induced wind, waves, and surge: A general methodology based on representative tracks
    Tije M. Bakker, José A.A. Antolínez, Tim W.B. Leijnse, Stuart G. Pearson, Alessio Giardino
    Coastal Engineering, 2022
  • A multi-model ensemble to investigate uncertainty in the estimation of wave-driven longshore sediment transport patterns along a non-straight coastline
    Amin Reza Zarifsanayei, José A.A. Antolínez, Amir Etemad-Shahidi, Nick Cartwright, Darrell Strauss
    Coastal Engineering, 2022
  • Quantifying Frontal-Surface Area of Woody Vegetation: A Crucial Parameter for Wave Attenuation
    Su A. Kalloe, Bas Hofland, José A. A. Antolínez, Bregje K. van Wesenbeeck
    Frontiers in Marine Science, 2022
  • Uncertainties in the Projected Patterns of Wave-Driven Longshore Sediment Transport Along a Non-straight Coastline
    Amin Reza Zarifsanayei, José A. A. Antolínez, Amir Etemad-Shahidi, Nick Cartwright, Darrell Strauss, Gil Lemos
    Frontiers in Marine Science, 2022
  • Seas and swells throughout New Zealand: A new partitioned hindcast
    João Albuquerque, Jose A.A. Antolínez, Richard M. Gorman, Fernando J. Méndez, Giovanni Coco
    Ocean Modelling, 2021
  • A Clustering Approach for Predicting Dune Morphodynamic Response to Storms Using Typological Coastal Profiles: A Case Study at the Dutch Coast
    Panagiotis Athanasiou, Ap van Dongeren, Alessio Giardino, Michalis Vousdoukas, Jose A. A. Antolinez, Roshanka Ranasinghe
    Frontiers in Marine Science, 2021
  • Blind testing of shoreline evolution models
    Jennifer Montaño, Giovanni Coco, Jose A. A. Antolínez, Tomas Beuzen, Karin R. Bryan, Laura Cagigal, Bruno Castelle, Mark A. Davidson, Evan B. Goldstein, Raimundo Ibaceta, Déborah Idier, Bonnie C. Ludka, Sina Masoud-Ansari, Fernando J. Méndez, A. Brad Murray, Nathaniel G. Plant, Katherine M. Ratliff, Arthur Robinet, Ana Rueda, Nadia Sénéchal, Joshua A. Simmons, Kristen D. Splinter, Scott Stephens, Ian Townend, Sean Vitousek, Kilian Vos
    Scientific Reports, 2020
  • Measurements of hydrodynamics, sediment, morphology and benthos on Ameland ebb-tidal delta and lower shoreface
    Bram C. van Prooijen, Marion F. S. Tissier, Floris P. de Wit, Stuart G. Pearson, Laura B. Brakenhoff, Marcel C. G. van Maarseveen, Maarten van der Vegt, Jan-Willem Mol, Frank Kok, Harriette Holzhauer, Jebbe J. van der Werf, Tommer Vermaas, Matthijs Gawehn, Bart Grasmeijer, Edwin P. L. Elias, Pieter Koen Tonnon, Giorgio Santinelli, José A. A. Antolínez, Paul Lodewijk M. de Vet, Ad J. H. M. Reniers, Zheng Bing Wang, Cornelis den Heijer, Carola van Gelder-Maas, Rinse J. A. Wilmink, Cor A. Schipper, Harry de Looff
    Earth System Science Data, 2020
  • Hydro-Morphological Characterization of Coral Reefs for Wave Runup Prediction
    Fred Scott, Jose A. A. Antolinez, Robert McCall, Curt Storlazzi, Ad Reniers, Stuart Pearson
    Frontiers in Marine Science, 2020
  • Time-Varying Emulator for Short and Long-Term Analysis of Coastal Flood Hazard Potential
    D. Anderson, A. Rueda, L. Cagigal, J. A. A. Antolinez, F. J. Mendez, P. Ruggiero
    Journal of Geophysical Research Oceans, 2019
  • Predicting Climate-Driven Coastlines With a Simple and Efficient Multiscale Model
    José A. A. Antolínez, Fernando J. Méndez, Dylan Anderson, Peter Ruggiero, George M. Kaminsky
    Journal of Geophysical Research Earth Surface, 2019
  • HyCReWW: A Hybrid Coral Reef Wave and Water level metamodel
    Ana Rueda, Laura Cagigal, Stuart Pearson, Jose A.A. Antolínez, Curt Storlazzi, Ap van Dongeren, Paula Camus, Fernando J. Mendez
    Computers and Geosciences, 2019
  • Statistical simulation of ocean current patterns using autoregressive logistic regression models: A case study in the Gulf of Mexico
    Helios Chiri, Ana Julia Abascal, Sonia Castanedo, José Antonio A. Antolínez, Yonggang Liu, Robert H. Weisberg, Raul Medina
    Ocean Modelling, 2019
  • Marine climate variability based on weather patterns for a complicated island setting: The New Zealand case
    Ana Rueda, Laura Cagigal, Jose A. A. Antolínez, Joao C. Albuquerque, Sonia Castanedo, Giovanni Coco, Fernando J. Méndez
    International Journal of Climatology, 2019
  • Directional correction of modeled sea and swell wave heights using satellite altimeter data
    João Albuquerque, Jose A.A. Antolínez, Ana Rueda, Fernando J. Méndez, Giovanni Coco
    Ocean Modelling, 2018
  • A Climate Index Optimized for Longshore Sediment Transport Reveals Interannual and Multidecadal Littoral Cell Rotations
    Dylan Anderson, Peter Ruggiero, José A. A. Antolínez, Fernando J. Méndez, Jonathan Allan
    Journal of Geophysical Research Earth Surface, 2018
  • Downscaling Changing Coastlines in a Changing Climate: The Hybrid Approach
    José Antonio A. Antolínez, A. Brad Murray, Fernando J. Méndez, Laura J. Moore, Graham Farley, James Wood
    Journal of Geophysical Research Earth Surface, 2018
  • Time-varying emulator for short- and long-term analysis of coastal flooding (TeslA-flood)
    Proceedings of the Coastal Engineering Conference, 2018
  • Controls of Multimodal Wave Conditions in a Complex Coastal Setting
    C. A. Hegermiller, A. Rueda, L. H. Erikson, P. L. Barnard, J. A. A. Antolinez, F. J. Mendez
    Geophysical Research Letters, 2017
  • Multiscale climate emulator of multimodal wave spectra: MUSCLE-spectra
    Ana Rueda, Christie A. Hegermiller, Jose A. A. Antolinez, Paula Camus, Sean Vitousek, Peter Ruggiero, Patrick L. Barnard, Li H. Erikson, Antonio Tomás, Fernando J. Mendez
    Journal of Geophysical Research Oceans, 2017
  • A multimodal wave spectrum-based approach for statistical downscaling of local wave climate
    C. A. Hegermiller, J. A. A. Antolinez, A. Rueda, P. Camus, J. Perez, L. H. Erikson, P. L. Barnard, F. J. Mendez
    Journal of Physical Oceanography, 2017
  • A multiscale climate emulator for long-term morphodynamics (MUSCLE-morpho)
    José Antonio A. Antolínez, Fernando J. Méndez, Paula Camus, Sean Vitousek, E. Mauricio González, Peter Ruggiero, Patrick Barnard
    Journal of Geophysical Research Oceans, 2016

RECENT SCHOLAR PUBLICATIONS

  • The influence of climate variability on global storm surges
    A Apolola, PJ Ward, FJ Méndez, V Collado, T Tiggeloven, W Jäger, ...
    2026
  • Coastal process understanding through automated identification of recurring surface dynamics in permanent laser scanning data of a sandy beach
    D Hulskemper, JAÁ Antolínez, R Lindenbergh, K Anders
    Earth Surface Dynamics 14 (3), 329-359 , 2026
    2026
  • Spatial Clustering of Sea Level Hydrographs
    MP Vurilj, JAA Antolínez, O Morales-Nápoles
    Coastal Dynamics 2025: Volume 2 2, 114 , 2026
    2026
  • Salt march Leaf Area Index determination with AI driven aerial lidar and multispectral data fusion
    S Vos, T Blount, R Lindenbergh, J Antolinez, M Marani
    EGU26 , 2026
    2026
  • Hybrid spectral downscaling and climate-driven variability of multimodal wave systems in the Gulf of Panama
    R Vallarino-Castillo, G Bellido, L Cagigal, V Negro-Valdecantos, ...
    EGU26 , 2026
    2026
  • Vulnerability of key sea turtle nesting beaches to future erosion and sea level rise
    JC Christiaanse, S Vitousek, AJHM Reniers, JAA Antolínez
    Earth's Future 14 (3), e2025EF007191 , 2026
    2026
  • Tail dependence of surge height and wind speed along the Dutch coast for storm clusters from large simulated datasets
    PE Kindermann, JAÁ Antolínez, O Morales-Nápoles
    Natural Hazards 122 (5), 196 , 2026
    2026
    Citations: 1
  • Navigating Complexity in Tidal Marsh Restoration: Hydrodynamic–Vegetation Interactions at Fir Island Farm
    N Villa, G Hood, JAA Antolínez, MC Stone
    2026 Ocean Sciences Meeting , 2026
    2026
  • BlueMath: A Collaborative Open-Source Repository for Statistical Analysis and Fast, Efficient Hydrodynamic Emulators of Coastal Climate Hazards
    L Cagigal, J Tausia, FJ Mendez, V Fernandez, GB Prieto, JOA Cantos, ...
    2026 Ocean Sciences Meeting , 2026
    2026
  • The influence of climate variability on global extreme sea level
    A Apolola, P Ward, T Tiggeloven, JAA Antolínez, FJ Mendez, S Muis
    2026 Ocean Sciences Meeting , 2026
    2026
  • Managing Coasts and Conserving Sea Turtle Habitats
    JAA Antolínez, J Christiaanse, AJHM Reniers, SGJ Aarninkhof, BJ Godley, ...
    2026 Ocean Sciences Meeting , 2026
    2026
  • GreenSurge 2.0: A Scalable and Efficient Additive model for Storm Surge Modeling
    E Faugere, BP Díaz, L Cagigal, P Camus, V Fernandez, J Tausia, ...
    2026 Ocean Sciences Meeting , 2026
    2026
  • Beyond understanding the role of far-field climate in the Gulf of Panama coastal dynamics: an analysis of long-term and seasonal variability of wave systems
    R Vallarino-Castillo, JAA Antolínez, V Negro-Valdecantos, ...
    Climate Dynamics 64 (2), 39 , 2026
    2026
    Citations: 1
  • Probabilistic forecasting of shoreline evolution: a case study using genetic algorithms
    L De Freitas Pereira, C Jaramillo Cardona, JAA Antolínez, ...
    2026
  • Coastal process understanding through automated identification of recurring surface dynamics in permanent laser scanning data of a sandy beach
    DC Hulskemper, JAÁ Antolínez, R Lindenbergh, K Anders
    EGUsphere 2025, 1-41 , 2025
    2025
  • Global analysis of storm surge seasonality
    A Apolola, PJ Ward, T Tiggeloven, JA Á. Antolínez, W Jäger, S Muis
    Journal of Geophysical Research: Oceans 130 (11), e2025JC022841 , 2025
    2025
  • Beach groundwater response to ocean processes and rain on a mild-sloping barrier island: Implications for sea turtle nest flooding
    JC Christiaanse, JAA Antolínez, CD Marshall, J Figlus, TM Dellapenna, ...
    Coastal Engineering 201, 104795 , 2025
    2025
    Citations: 4
  • Aiding sea turtle conservation through coastal management
    JC Christiaanse, AJHM Reniers, SGJ Aarninkhof, EF Ostertag, R Nel, ...
    Frontiers in Marine Science 12, 1669885 , 2025
    2025
    Citations: 5
  • Benchmarking shoreline prediction models over multi-decadal timescales
    Y Mao, G Coco, S Vitousek, JAA Antolinez, G Azorakos, M Banno, ...
    Communications Earth & Environment 6 (1), 581 , 2025
    2025
    Citations: 13
  • Assessing shoreline orientation variation across diverse coastal environments
    MB Abdulsalam, C Jaramillo, L de Freitas, M González, JAÁ Antolínez
    Coastal Engineering 200, 104770 , 2025
    2025
    Citations: 3

MOST CITED SCHOLAR PUBLICATIONS

  • Blind testing of shoreline evolution models
    J Montaño, G Coco, JAA Antolínez, T Beuzen, KR Bryan, L Cagigal, ...
    Scientific reports 10 (1), 2137 , 2020
    2020
    Citations: 189
  • Predicting climate driven coastlines with a simple and efficient multi‐scale model
    JAA Antolínez, FJ Méndez, D Anderson, P Ruggiero, GM Kaminsky
    Journal of Geophysical Research: Earth Surface , 2019
    2019
    Citations: 102
  • A Climate Index Optimized for Longshore Sediment Transport Reveals Interannual and Multidecadal Littoral Cell Rotations
    D Anderson, P Ruggiero, JAA Antolínez, FJ Méndez, J Allan
    Journal of Geophysical Research: Earth Surface 123 (8), 1958-1981 , 2018
    2018
    Citations: 84
  • A multiscale climate emulator for long‐term morphodynamics (MUSCLE‐morpho)
    JAA Antolínez, FJ Méndez, P Camus, S Vitousek, EM González, ...
    Journal of Geophysical Research: Oceans 121 (1), 775-791 , 2016
    2016
    Citations: 82
  • Time‐Varying Emulator for Short and Long‐Term Analysis of Coastal Flood Hazard Potential
    D Anderson, A Rueda, L Cagigal, JAA Antolinez, FJ Mendez, P Ruggiero
    Journal of Geophysical Research: Oceans 124 (12), 9209-9234 , 2019
    2019
    Citations: 81
  • Wave attenuation through forests under extreme conditions
    BK van Wesenbeeck, G Wolters, JAA Antolínez, SA Kalloe, B Hofland, ...
    Scientific reports 12 (1), 1884 , 2022
    2022
    Citations: 78
  • A multimodal wave spectrum–based approach for statistical downscaling of local wave climate
    CA Hegermiller, JAA Antolinez, A Rueda, P Camus, J Perez, LH Erikson, ...
    Journal of Physical Oceanography 47 (2), 375-386 , 2017
    2017
    Citations: 68
  • HyCReWW: A Hybrid Coral Reef Wave and Water level metamodel
    A Rueda, L Cagigal, S Pearson, JAA Antolínez, C Storlazzi, ...
    Computers & geosciences 127, 85-90 , 2019
    2019
    Citations: 53
  • Global Projections of Storm Surges Using High‐Resolution CMIP6 Climate Models
    S Muis, JCJH Aerts, JA Á. Antolínez, JC Dullaart, TM Duong, L Erikson, ...
    Earth's Future 11 (9), e2023EF003479 , 2023
    2023
    Citations: 52
  • Downscaling changing coastlines in a changing climate: The hybrid approach
    JAA Antolínez, AB Murray, FJ Méndez, LJ Moore, G Farley, J Wood
    Journal of Geophysical Research: Earth Surface 123 (2), 229-251 , 2018
    2018
    Citations: 52
  • Measurements of hydrodynamics, sediment, morphology and benthos on Ameland ebb-tidal delta and lower shoreface
    BC Van Prooijen, MFS Tissier, FP De Wit, SG Pearson, LB Brakenhoff, ...
    Earth System Science Data 12 (4), 2775-2786 , 2020
    2020
    Citations: 40
  • Multiscale climate emulator of multimodal wave spectra: MUSCLE‐spectra
    A Rueda, CA Hegermiller, JAA Antolinez, P Camus, S Vitousek, ...
    Journal of Geophysical Research: Oceans 122 (2), 1400-1415 , 2017
    2017
    Citations: 36
  • Hydro-morphological characterization of coral reefs for wave runup prediction
    F Scott, JAA Antolinez, R McCall, C Storlazzi, A Reniers, S Pearson
    Frontiers in Marine Science 7, 361 , 2020
    2020
    Citations: 35
  • Marine climate variability based on weather patterns for a complicated island setting: The New Zealand case
    A Rueda, L Cagigal, JAA Antolínez, JC Albuquerque, S Castanedo, ...
    Int. J. Climatol 39 (3), 1777-1786 , 2019
    2019
    Citations: 33
  • Directional correction of modeled sea and swell wave heights using satellite altimeter data
    J Albuquerque, JAA Antolínez, A Rueda, FJ Méndez, G Coco
    Ocean Modelling 131, 103-114 , 2018
    2018
    Citations: 33
  • Controls of multimodal wave conditions in a complex coastal setting
    CA Hegermiller, A Rueda, LH Erikson, PL Barnard, JAA Antolinez, ...
    Geophysical Research Letters 44 (24), 12,315-12,323 , 2017
    2017
    Citations: 31
  • Statistical simulation of ocean current patterns using autoregressive logistic regression models: A case study in the Gulf of Mexico
    H Chiri, AJ Abascal, S Castanedo, JAA Antolínez, Y Liu, RH Weisberg, ...
    Ocean Modelling 136, 1-12 , 2019
    2019
    Citations: 28
  • Distribution of global sea turtle nesting explained from regional-scale coastal characteristics
    JC Christiaanse, JAA Antolínez, AP Luijendijk, P Athanasiou, CM Duarte, ...
    Scientific Reports 14 (1), 752 , 2024
    2024
    Citations: 25
  • Seas and swells throughout New Zealand: A new partitioned hindcast
    J Albuquerque, JAA Antolínez, RM Gorman, FJ Méndez, G Coco
    Ocean Modelling 168, 101897 , 2021
    2021
    Citations: 25
  • Sensitivity of salt intrusion to estuary-scale changes: A systematic modelling study towards nature-based mitigation measures
    GG Hendrickx, WM Kranenburg, JAA Antolínez, Y Huismans, ...
    Estuarine, Coastal and Shelf Science 295, 108564 , 2023
    2023
    Citations: 24