Dr. Marina AlcoverAcademic director focused on measurable results and operational excellence in maritime education. Integrates IMO/STCW regulations and ISO 21001/9001 f
Masters · 1600 h · 11 modules
Master's in Marine Storm Prediction Models
This program will equip you to master the most advanced tools and techniques for analyzing and forecasting extreme weather events in the ocean. Learn to interpret oceanographic and atmospheric data, develop high-resolution…
Duration1600 h
FormatOnline
Starts16 November
Places20 / 20
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Programme overview
What is the Master’s in Marine Storm Prediction Models?
The Master's in Marine Storm Prediction Models
This program will equip you to master the most advanced tools and techniques for analyzing and forecasting extreme weather events in the ocean. Learn to interpret oceanographic and atmospheric data, develop high-resolution predictive models, and assess the impact of storms on coastal infrastructure and maritime activities. This program will enable you to become an expert in risk management and strategic decision-making in the face of marine weather threats.
Differential Advantages
- Advanced Simulations: Use of cutting-edge software to model storm evolution.
- Big Data Analysis: Processing and interpretation of large volumes of meteorological and oceanographic information.
- Coastal Risk Management: Assessment of the vulnerability of coastal areas and design of mitigation strategies.
- Collaboration with Experts: Interaction with leading professionals in marine storm research and prediction.
- Practical Applications: Development of real-world projects for companies in the maritime sector and government agencies.
Programme type
Master's Degree
Study mode
Online
Duration
1,600 hours
Modules
11
Start date
06-12-2026
Programme highlights
- Advanced Analysis: Master numerical models to predict the intensity and trajectory of marine storms.
- Oceanographic Data: Learn to interpret satellite and buoy data to improve the accuracy of your forecasts.
- Simulation and Visualization: Use cutting-edge tools to simulate scenarios and communicate risks effectively.
- Risk Management: Develop strategies to mitigate the impact of storms on coastal infrastructure and maritime activities.
- Applied Research: Participate in real-world projects and contribute to the advancement of weather prediction. extremes.
- Become an expert in marine storm prediction and protect our coasts.
Curriculum
Programme Structure
The programme is structured in 11 modules, listed below in order of study.
01
Advanced analysis of weather patterns and meteorological systems for the prediction of sea storms in the Master's in sea storm prediction models.
- Advanced atmospheric dynamics: physicodynamic and thermodynamic processes in the formation of sea storms
- Numerical modelling of the atmosphere: fundamentals, parametrization of microphysics and convection schemes in synotic scale and mesoscale
- Spectral analysis of climate patterns: identification of relevant atmospheric and oceanic oscillation modes (ENSO, NAO, MJO)
- Frontal systems and extratropical cyclones: characterisation, evolution and their involvement in the generation of sea storms
- Ocean-Atmosphere Interaction: Impact of sea surface temperature (SST) and humidity on the intensification of meteorological systems
- Remote sensing and real-time satellite data application for monitoring of marine meteorological systems
- Integration of data from meteorological and ocean buoy radars for validation and calibration of predictive models
- Statistical systems and machine learning applied to weather series analysis and seasonal prediction of extreme events
- Configuration and management of pre-operating systems for early alerts based on dynamic storm and statistical models
- Case Studies: Retrospective Analysis of Historic Sea Storm Events and Predictive Precision Assessment
02
Advanced remote sensing and numeric modelling techniques for precise anticipation of extreme events in coastal zones
- Fundamentals of Remote Sensing Applied to Coastal Meteorology: Physical Principles, Types of Sensors and Satellite Platforms (Optical, Infrared, Microwave, Synthetic Opening Radar - SAR)
- Advanced satellite image processing techniques: radiometric calibration, atmospheric correction, multispectral fusion and multi-temporal analysis for early detection of sea storms
- Real-time remote sensing data interpretation: integration of satellite products with in-situ data, modelling of critical atmospheric and oceanographic variables
- Hydrometeorological numerical modelling in coastal zones: description of predictive models (WRF, ROMS, SWAN), parameterization of physical processes and atmospheric-oceanic coupling
- Implementation of Data Assimilation techniques to improve the accuracy of predictions: Variational methods and Kalman filters applied to sea storms
- Extreme wave simulation and forecast and surge surge: Advanced use of spectral models and validation with historical logs and observation logs
- Development and integration of early warning systems based on artificial intelligence and machine learning for the automatic identification of precursor patterns of extreme events
- Operational monitoring and tracking: Using GIS geospatial platforms for dynamic viewing and real-time storm risk analysis
- Cases of numerical modelling applied to vulnerable coastal regions: retrospective analysis and predictive precision assessment
- International regulations and protocols for early warning management in extreme weather events: integration with local policies and emergency response planning
03
Advanced analysis of weather patterns and meteorological systems for the prediction of sea storms
- Theoretical Foundations of Atmospheric Dynamics: General Circulation, Pressure, Temperature and Humidity in Marine Environments
- Identification and characterisation of meteorological systems: tropical, extratropical cyclones, fronts and local disturbances
- Advanced Satellite Analysis and Weather Radar Tools: Interpreting Infrared, Visible, and Microwave Imaging
- Weather prediction numerical models: fundamentals, governing equations, parametres and time scales relevant to sea storms
- Processing and validation of on-site and remote data: Oceanographic buoys, coastal weather stations and maritime sensors
- Ocean-Atmosphere Interaction Dynamics: Energy Transfer, Marine Surface Wind Effects, and Storm Feedback
- Spectral and statistical analysis of climatic variables: time series, trends, extremes and recurrent patterns associated with severe events
- Methodologies for early detection of convective events and mesoscales in marine environments
- Correlation of global climate indexes (ENSO, NAO, AO) with the occurrence and evolution of sea storms
- Practical implementation of software for advanced modelling and visualisation of weather patterns: WRF, HYSPLIT, Applied weather GIS
04
Stochastic wave and surge modelling, real-time data assimilation, and design of integrated coastal alert systems (Master’s in sea storm prediction models)
- Fundamentals of stochastic modelling applied to waves and surge: Theory of random processes and its relationship with coastal dynamics
- Advanced mathematical models for the probabilistic simulation of waves: energy spectra, distribution functions and spatio-temporal correlations
- Real-time data assimilation techniques: Fusion of satellite observations, oceanographic buoys and coastal radar for forecast improvement
- Implementation of Kalman filters and Bayesian methods for continuous updating of predictive models
- Computational optimisation of stochastic systems to ensure efficiency in critical operating environments
- Design and architecture of integrated coastal early warning systems: components, interfaces and communication protocols
- Integration of hydrodynamic models with alert systems: Automatic generation of warnings based on probabilistic risk thresholds
- Study of historical sea storms: validation and adjustment of predictive models with real data
- Evaluation of uncertainty in surge and surge predictions: metrics, sensitivity analysis and mitigation techniques
- Development of real-time visualisation and monitoring platforms: Use of GIS, dashboards and web tools for effective decision making
05
Atmospheric and oceanographic dynamics applied to the predictive simulation of sea storms and their impact on coastal infrastructure
- Fundamentals of Atmospheric Dynamics: Convective Structures and Processes, Vortex, Divergence, Energy Transport and Momentum in Sea Storms
- Numerical models of atmospheric circulation: turbulence parameterization, cloud microphysics schemes in coastal systems
- Atmosphere-ocean interaction: exchange of heat, humidity and momentum in the marine boundary layer
- Dynamics of fronts and low pressure systems: formation, evolution and displacement in coastal regions
- Hydrodynamic modelling of sea storms: simulation of extreme winds, waves and surges
- Integration of Atmosphere-Ocean coupled models for predictive forecasting at critical temporal and spatial scales
- Oceanographic variables: coastal currents, thermoclines, stratification and their influence on storm intensification
- Advanced procedures for the assimilation of satellite data and maritime stations in predictive models
- Evaluation of the dynamic impact of sea storms on coastal infrastructure: analysis of hydrodynamic and structural forces
- Early warning and mitigation systems: design, calibration and validation of predictive tools for decision making in coastal planning
06
Integrated modelling of climate patterns, remote sensing systems and stochastic modelling for the accurate and early prediction of sea storms
- Theoretical Foundations of Climate Modelling: Atmospheric and Ocean Dynamics, Atmosphere-Sea Interaction, and Time Scales
- Advanced remote sensing principles: active and passive sensors, satellite platforms, and multi-spectral image processing
- Remote Observation Systems: Weather Radar, LiDAR and Radiometry for Sea Storm Monitoring
- Stochastic modelling concepts applied to atmospheric phenomena: random processes, Markov chains and Monte Carlo simulation
- Multi-source integration: Satellite data fusion, oceanographic buoys and weather stations for weather modelling
- Prediction algorithms: deep neural networks, regression models and time series to anticipate extreme events
- Optimisation and calibration of models using machine learning techniques and cross validation
- Early warning systems: design and implementation, critical thresholds and communication protocols
- Climate prediction uncertainty assessment: sensitivity analysis and error propagation
- Cases for integrated modelling and simulation for accurate prediction of sea storms in different coastal regions
07
Application of remote sensing and modelling systems in the advanced prediction of sea storms
- Fundamentals of remote sensing applied to marine meteorology: physical principles, active and passive sensors, electromagnetic waves and their interaction with the oceanic surface.
- Meteorological and oceanographic satellites: classification, geostationary and polar orbits, key instruments (scatterometer radar, radiometres, altimetres) and their contribution to the early detection of marine storms.
- Remote data processing and analysis: Advanced techniques for extracting meteorological and oceanographic variables, atmospheric correction, sensor calibration and multi-sensor data fusion.
- Numerical modelling of the atmosphere and the ocean: mathematical formulation of prediction models, Navier-Stokes equations, parameterization of physical processes, atmospheric-ocean coupling.
- Configuration and execution of numerical models: selection of numerical schemes, adaptive meshing, initial and border conditions, incorporation of observational data through assimilation.
- Marine storm simulation and forecast: identification and monitoring of convective systems, dynamic and thermodynamic analysis of marine cyclones, probabilistic evaluation of the impact in coastal areas.
- Prediction model validation and verification: Statistical metrics, comparison with in-situ and satellite data, sensitivity analysis and parameter adjustment for predictive performance optimisation.
- Integration of early warning systems: architecture of operating systems, flow of information in real time, automated algorithms for the generation of meteorological warnings and risk assessment.
- Practical applications in marine emergency management: response protocols, inter-institutional coordination, informed decision-making based on predictive models to minimise damage and save lives.
- Technological advances and future trends in remote sensing and numerical modelling: artificial intelligence, machine learning for forecast improvement, growing use of UAV platforms and nano-satellite constellations.
08
Advanced data assimilation and predictive modelling techniques for comprehensive risk management in sea storms
- Data Assimilation Fundamentals: Concepts, History and Evolution in Marine Meteorology
- Data sources for sea storms: satellites, oceanographic buoys, coastal radars and weather stations
- Weather prediction numerical models: dynamic, statistical and hybrid
- Advanced Assimilation Techniques: 3D-Var Variation, 4D-Var and Extended Kalman Filters
- Implementation of assimilation algorithms in high resolution regional models for coastal environments
- Multi-source data integration: interoperability, bias correction, and cross validation
- Stochastic predictive modelling for risk scenarios: uncertainty, sensitivity and probabilistic analysis
- Model optimisation through machine learning and artificial intelligence techniques applied to sea storm prediction
- Comprehensive Risk Management: Impact Assessment, Early Alerts, and Response Planning Based on Dynamic Predictions
- Case studies and practical application in coastal management: damage mitigation, urban planning and emergency protocols
09
Advanced prediction and integrated modelling of marine storms using remote sensing techniques, numerical modelling and data assimilation
- Fundamentals of remote sensing applied to sea storms: physical principles and satellite sensors Active and passive
- Remote sensing data processing: atmospheric correction algorithms, ocean parameter extraction and on-site validation
- Numerical modelling of atmosphere and ocean: hydrodynamic and atmospheric models coupled for the simulation of extreme events
- Marine storm dynamics: training, intensification and dissipation analysis based on thermodynamic and dynamic variables
- Assimilation of multimodal data: incorporation of satellite observations, oceanographic buoys and coastal radars in predictive models
- Application of machine learning techniques for forecast improvement and early detection of critical patterns
- Model validation and adjustment using advanced statistical metrics and probabilistic assemblies
- Uncertainty management in meteorological and oceanographic predictions: stochastic methods and sensitivity analysis
- Implementation of integrated early warning systems: architecture, protocols and risk communication to end users
- International case studies: detailed analysis of recent events with emphasis on mitigation and response strategies
10
Notice communication, risk management, and predictive operating services
- early warning systems
- Maritime weather warnings
- Communication of the risk to sailors and authorities
- Temporary action protocols
- Prediction Operating Services
- Forecast verification
- Interaction with Civil Protection
- Economic impact of storms
- Insurance and climate risks
- Design of an alert service
11
Master’s Final Project in Marine Storm Prediction Models
- Introduction to the final work: objectives, scope and relevance of the integrated system of prediction and early warning for sea storms
- Scientific foundations: Atmospheric and ocean dynamics in sea storms, physical and chemical processes involved
- Weather and Oceanographic Prediction Numerical Models: Selection, Parameterization and Validation for Extreme Coastal Events
- Satellite and radar remote sensing: advanced image interpretation, pattern detection algorithms, and critical variable extraction
- Design of multidimensional databases for real-time meteorological and oceanographic data management
- Integration of stochastic techniques and probabilistic models for the quantification and uncertainty and optimisation of the forecast
- Data fusion methodologies: Assimilation and processing of satellite information, numerical models and on-site observations
- Development of early warning algorithms: Threshold criteria, risk analysis and automated alert generation for end users
- Design and implementation of the integrated system with graphical interfaces for real-time visualisation and monitoring
- Operational validation and calibration of the system through historical cases and experimental events
Workload
Study Time and Workload
1600 hours of study, online and at your own pace. Move the slider to the hours a week you can really put in.
Hours a week8
Weeks to finish—
You finish around—
Who it is for
Marine meteorologists and oceanographers seeking advanced specialization in the accurate forecasting of marine storms and their impacts.Coastal engineers and port infrastructure managers who need robust tools for coastal risk planning, design, and mitigation.Offshore energy and shipping professionals who require reliable predictions for operational decision-making and the security of their ass
Faculty
Academic direction and faculty
The teaching team at Navalis: working professionals who deliver and oversee the institute's programmes.
Eng. Diego Cifuentes
Cap. Javier Abaroa (MCA)
Dr. Pau Ferrer
Dr. Nuria Llobregat
Eng. Javier Bañuls
Eng. Sofía Marquina
Eng. Tomás Riera
Verified reviews
Student Reviews
Reviews collected and verified by Opynio, not written by us.
Outcomes
Learning Outcomes
- 01Optimizing coastal risk management
- 02Improve the accuracy of early warnings
- 03Develop impact mitigation strategies
- 04Promoting innovation in predictive technologies
- 05Leading research into extreme weather phenomena
- 06Interpreting and communicating complex data on marine storms
Careers
Career Opportunities
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02Coastal Risk Analyst: Assessment and modeling of the vulnerability of coastal infrastructure and communities to extreme marine weather events.
03Marine Renewable Energy Consultant: Optimization of the location and operation of offshore wind farms and other energy infrastructure, minimizing the impact of storms.
04Research Scientist: Development of new prediction models, improvement of existing ones, and study of the impact of climate change on the frequency and intensity of marine storms.
05Marine Meteorologist: Forecasting and early warning of marine storms for government institutions, private companies (insurance, shipping), and the general public.
06Coastal Emergency Manager: Planning and coordination of responses to flooding and other natural disasters caused by marine storms.
07Coastal Engineer: Design and construction of coastal infrastructure resilient to marine storms, such as dikes, breakwaters, and drainage systems.
08Marine Insurance Specialist: Risk assessment and calculation of insurance premiums for vessels, infrastructure, and maritime activities, considering the risks associated with storms.
09Public Policy Advisor: Development of strategies and regulations for climate change adaptation and the mitigation of coastal risks associated with marine storms.
Questions
Entry Requirements
The main focus is the development and application of predictive models for marine storms, including understanding the oceanographic and meteorological processes that generate them.
Yes. The itinerary includes ECDIS/Radar-ARPA/BRM with harbor, ocean, fog, storm, and SAR scenarios.
Online with live sessions; hybrid option for simulator/practical placements through agreements.
In both, he uses weather models to predict ocean conditions during storms.
Recommended functional SMCP. We offer support materials for standard phraseology.
Yes, with a relevant degree or experience in maritime/port operations. The admissions interview will confirm suitability.
Optional (3–6 months) through Companies & Collaborations and the Alumni Network.
Simulator practice (rubrics), defeat plans, SOPs, checklists, micro-tests and applied TFM.
A degree from Navalis Magna Institute + operational portfolio (tracks, SOPs, reports and KPIs) useful for audits and employment.
Online admissions
Admissions Process
No waiting for a phone call. If your documents are complete, you can pay in the same session.
Entry requirements
```htmlAcademic/Professional Profile:Bachelor's/Undergraduate degree in Physics, Mathematics, Engineering (Civil, Environmental, Computer Science, etc.), Marine Sciences, or a related field; or demonstrable professional experience in meteorological/oceanographic modeling.Technical Knowledge:Basic knowledge of meteorology, oceanography, and statistics. Experience with data analysis software (e.g., Python, R, Matlab) is desirable.Documentation:Updated CV, copy of degree certificate, academic transcript (if applicable), cover letter explaining your interest in marine storm pred
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Frequently Asked Questions
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