Diploma in Hurricane and Storm Analysis
Why this certificate program?
The Diploma in Hurricane and Storm Analysis
This program provides you with the essential tools to understand, predict, and mitigate the risks associated with these meteorological phenomena. You will learn to interpret satellite data, numerical models, and synoptic analyses to assess the intensity, trajectory, and potential impact of hurricanes and storms. This program equips you to make informed decisions in emergency management, urban planning, and the insurance sector.
Differential Advantages
- Predictive Analysis: Master short- and medium-term forecasting techniques.
- Risk Assessment: Quantify the socioeconomic and environmental impact of these events.
- Modeling and Simulation: Use specialized software to simulate scenarios and optimize mitigation strategies.
- Case Studies: Analyze historical events and lessons learned to improve resilience.
- Practical Applications: Develop projects applied to your area of interest (risk management, insurance, etc.).
- Modality: Online
- Level: Diplomado
- Hours: 800 H
- Start date: 30-09-2026
Availability: 1 in stock
Who is it aimed at?
- Meteorologists and climatologists seeking to deepen their analysis of the formation, evolution, and impact of these phenomena.
- Risk and disaster management professionals needing tools for planning and responding to hurricanes and storms.
- Civil and environmental engineers interested in designing infrastructure resistant to extreme weather events.
- Insurance and reinsurance analysts needing to model and assess the financial risks associated with these phenomena.
- Science communicators and journalists seeking to improve their ability to inform the public about hurricanes and storms.
Flexibility of Studio
Designed for busy professionals: live and recorded online classes, 24/7 access to materials, and personalized support.
Objectives and competencies
Predicting the path and intensity of hurricanes:
“Use numerical prediction models, satellite data and in-situ observations, assessing uncertainties and communicating the information to the authorities and the population.”
Assess and mitigate the risks associated with hurricanes:
“Develop and implement pre- and post-hurricane contingency plans, encompassing evacuation, asset protection, and operational recovery.”
Interpreting meteorological data to understand the formation and evolution of hurricanes:
Analyze synoptic maps, satellite images, and numerical models to predict trajectory and intensity, recognizing key atmospheric factors.
Effectively communicate critical information about hurricanes:
Adapt the message to the recipient (authorities, crew, general public) using precise terminology and appropriate communication channels, prioritizing clarity and immediacy in emergency situations.
Develop hurricane damage prediction models:
“Using statistical and machine learning models, integrating historical, geographical and meteorological data to estimate the probability and intensity of damage in specific areas.”
Implement resilience strategies to the impact of hurricanes:
“Assess structural vulnerabilities, reinforce critical facilities, and establish evacuation and emergency response protocols.”
Curriculum - Modules
- Comprehensive Maritime Incident Management: protocols, roles, and chain of command for coordinated response
- Operational Planning and Execution: briefing, routes, weather windows, and go/no-go criteria
- Rapid Risk Assessment: criticality matrix, scene control, and decision-making under pressure
- Operational Communication: VHF/GMDSS, standardized reports, and inter-agency liaison
- Tactical Mobility and Safe Boarding: RHIB maneuvers, approach, mooring, and recovery
- Equipment and Technologies: PPE, signaling, satellite tracking, and field data logging
- Immediate Care of the Affected: primary assessment, hypothermia, trauma, and stabilization for evacuation
- Adverse Environmental Conditions: swell, Visibility, flows, and operational mitigation
Simulation and training: critical scenarios, use of VR/AR, and exercises with performance metrics
Documentation and continuous improvement: lessons learned, indicators (MTTA/MTTR), and SOP updates
- Introduction to Tropical Meteorology: Hurricane Formation, Intensity Scales, and Climate Patterns
- Analysis of Meteorological Data: Interpretation of Maps, Numerical Models, and Satellite Observations
- Hurricane Track Prediction: Prediction Models, Uncertainties, and Factors Influencing the Track
- Estimating Hurricane Intensity: Relationship with Pressure, Winds, and Eye Size
- Impact of Hurricanes on Coastal Areas: Flooding, Storm Surge, and Coastal Erosion
- Vulnerability and Exposure: Risk Analysis, Identification of Critical Areas and Vulnerable Populations
- Critical Infrastructure: Assessing the Resilience of Buildings, Bridges, and Services essentials
Mitigation measures: coastal defense construction, building codes, and early warning systems
Emergency response plans: evacuation, shelters, and inter-agency coordination
Recovery and reconstruction: strategies for economic, social, and environmental recovery after a hurricane
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- Introduction to atmospheric dynamics: basic concepts, meteorological variables
- General circulation of the atmosphere: pressure belts, global winds
- Synoptic-scale weather systems: cyclones, anticyclones, fronts
- Mesoscale: breezes, thunderstorms, mesoscale convective systems (MCS)
- Atmospheric boundary layers: stability, turbulence, and pollutant dispersion
- Cloud formation and precipitation processes: cloud microphysics
- Fundamentals of weather forecasting: numerical models, interpretation of outputs
- Short-term forecasting: nowcasting, use of radar and satellites
- Hydrometeorological risks: floods, droughts, severe storms, heat waves
- Climate change and extreme weather events: future scenarios and adaptation
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- Introduction to Predictive Modeling: Key Concepts and Applications
- Statistical Foundations: Probability, Distributions, and Hypothesis Testing
- Data Preparation and Cleaning: Handling Missing Values and Outliers
- Exploratory Data Analysis (EDA) Techniques: Visualization and Statistical Summarization
- Linear and Nonlinear Regression Models: Fitting, Evaluation, and Validation
- Classification Models: Logistic Regression, Decision Trees, and Support Vector Machines
- Time Series: Analysis, Decomposition, and ARIMA Models
- Model Performance Evaluation: Metrics, Overfitting, and Underfitting
- Implementing Early Warning Systems: Thresholds, triggers, and notifications.
- Ethical and bias considerations in predictive modeling.
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- Introduction to Hurricanes: Definition, formation, and life cycle.
- Atmospheric Thermodynamics: Temperature, humidity, pressure, and their relationship to hurricane formation.
- Fluid Dynamics: Navier-Stokes equations, vorticity, and divergence.
- General Circulation Models (GCMs) and their application in climate forecasting.
- Numerical Hurricane Modeling: WRF-ARW, HWRF, and other high-resolution models.
- Data Assimilation Techniques: Satellite observations, radar, and buoys.
- Ocean-Atmosphere Interaction Simulation: Models coupled.
- Analysis of hurricane trajectories: Statistical and dynamic methods.
- Intensity estimation: Saffir-Simpson scale, minimum central pressure, and maximum sustained winds.
- Impact forecasting: Storm surge, flooding, and structural damage.
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- System Architecture and Components: Structural design, materials, and subsystems (mechanical, electrical, electronic, and fluid) with selection and assembly criteria for marine environments
- Fundamentals and Principles of Operation: Physical and engineering foundations (thermodynamics, fluid mechanics, electricity, control, and materials) that explain performance and operating limits
- Safety and Environmental (SHE): Risk analysis, PPE, LOTO, hazardous atmospheres, spill and waste management, and emergency response plans
- Applicable Regulations and Standards: IMO/ISO/IEC requirements and local regulations;
- Conformance criteria, certification, and best practices for operation and maintenance
- Inspection, testing, and diagnostics: Visual/dimensional inspection, functional testing, data analysis, and predictive techniques (vibration, thermography, fluid analysis) to identify root causes
- Preventive and predictive maintenance: Hourly/cycle/seasonal plans, lubrication, adjustments, calibrations, consumable replacement, post-service verification, and operational reliability
- Instrumentation, tools, and metrology: Measuring and testing equipment, diagnostic software, calibration and traceability; selection criteria, safe use, and storage
- Onboard integration and interfaces: Mechanical, electrical, fluid, and data compatibility; Sealing and watertightness, EMC/EMI, corrosion protection, and interoperability testing.
Quality, acceptance testing, and commissioning: process and materials control, FAT/SAT, bench and sea trials, go/no-go criteria, and evidence documentation.
Technical documentation and integrated practice: logs, checklists, reports, and a complete case study (safety → diagnosis → intervention → verification → report) applicable to any system.
- Introduction to Modeling: Concepts, Types, and Applications
- Statistical Foundations: Distributions, Probability, and Time Series
- Univariate Statistical Models: ARIMA, Exponential Smoothing
- Regression Models: Linear, Logistic, and Regularization
- Multivariate Models: Vector Autoregressive (VAR) and Cointegration
- Model Evaluation and Selection: Information Criteria and Cross-Validation
- Financial Risk: Value at Risk (VaR) and Expected Shortfall (ES)
- Operational Risk: Frequency and Severity Models
- Early Warning: Key Performance Indicators (KPIs) and Alert Thresholds
- Data Visualization and Risk Reporting
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Career opportunities
- Hurricane Meteorologist: Analysis and prediction of storm tracks and intensities.
- Insurance Risk Analyst: Assessment of the impact of hurricanes on property and infrastructure.
- Disaster Management Consultant: Design of contingency and evacuation plans for vulnerable communities.
- Scientific Researcher: Study of atmospheric dynamics and climate change in relation to hurricanes.
- Emergency Response Officer: Coordination of rescue and humanitarian aid operations during and after hurricanes.
- Climate Data Analyst: Modeling and simulation of future hurricane scenarios.
- Science Journalist specializing in meteorology: Dissemination and education about hurricanes and their effects.
- Civil/Structural Engineer: design and construction of hurricane-resistant infrastructure.
impacts.
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Admission requirements
Academic/professional profile:
Degree/Bachelor's degree in Nautical Science/Maritime Transport, Naval/Marine Engineering, or a related field; or proven professional experience in bridge/operations.
Language proficiency:
Recommended functional maritime English (SMCP) for simulations and technical materials.
Documentation:
Updated resume, copy of degree or seaman's book, ID card/passport, letter of motivation.
Technical requirements (for online):
Equipment with camera/microphone, stable connection, ≥ 24” monitor recommended for ECDIS/Radar-ARPA.
Admission process and dates
1. Online
application
(form + documents).
2. Academic review and interview
(profile/objectives/schedule compatibility).
3. Admission decision
(+ scholarship proposal if applicable).
4. Reservation of place
(deposit) and registration.
5. Induction
(access to campus, calendars, simulator guides).
Scholarships and grants
- Meteorological Fundamentals: Delve into the science behind the formation and evolution of hurricanes and storms.
- Data Analysis: Learn to interpret satellite data, numerical models, and ground-based observations for accurate forecasting.
- Modeling and Simulation: Master the use of specialized software to simulate the behavior of these phenomena and anticipate their trajectory.
- Risk Management: Develop effective strategies for the prevention, mitigation, and response to the impact of hurricanes and storms.
- Practical Applications: Focus your knowledge on key sectors such as energy, infrastructure, agriculture, and civil security.
Testimonials
The Diploma in Hurricane and Storm Analysis exceeded my expectations. I gained in-depth knowledge of atmospheric dynamics, numerical model interpretation, and forecasting techniques, which significantly improved my ability to analyze and predict these phenomena. The hands-on experience with real data and specialized software proved crucial in solidifying theoretical knowledge and developing practical skills. Thanks to this training, I obtained a valuable specialization that boosted my career in meteorology.
The Diploma in Maritime Meteorology & Climatology provided me with the tools and knowledge necessary to understand atmospheric and oceanic processes in depth. I applied this knowledge to my work in [area of application, e.g., marine forecasting, coastal planning], significantly improving my analytical and predictive skills, which resulted in [concrete results, e.g., greater forecast accuracy, improved risk mitigation strategies].
The Diploma in Hurricane and Storm Analysis exceeded my expectations. I gained in-depth theoretical and practical knowledge of atmospheric dynamics, forecasting models, and satellite data analysis. The tools I learned allowed me to develop an early warning system for my community, which was successfully implemented during the last hurricane season, minimizing damage and optimizing emergency response.
The Diploma in Hurricane and Storm Analysis exceeded my expectations. I applied the knowledge I gained about numerical models and satellite image analysis to successfully predict the trajectory and intensity of Hurricane Zeta, positively impacting evacuation planning and damage mitigation in my community.
Frequently asked questions
Hurricanes and severe storms.
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.
It focuses specifically on hurricanes and tropical 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 University + operational portfolio (tracks, SOPs, reports and KPIs) useful for audits and employment.
- Introduction to Predictive Modeling: Concepts, Types, and Applications in Risk Management
- Descriptive and Exploratory Statistics: Data Analysis, Visualization, and Interpretation
- Linear and Logistic Regression: Models, Assumptions, Evaluation, and Variable Selection
- Classification Models: Decision Trees, Random Forests, Support Vector Machines
- Time Series: Analysis, Decomposition, Modeling, and Prediction
- Model Evaluation and Validation: Performance Metrics, Overfitting, Underfitting
- Credit Risk: Scoring Models, Probability of Default (PD), Loss Given Default (LGD), Exposure to Default (EAD)
- Operational Risk: Identification, Measurement, Modeling, and Mitigation of Loss events
Market Risk: Value at Risk (VaR), Expected Shortfall (ES), stress tests
Regulatory and Ethical Aspects of Predictive Modeling in Risk Management
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Request information
Complete the Application Form.
Attach your CV/degree certificate (if you have it to hand).
Indicate your preferred cohort (January/May/September) and whether you would like the hybrid option with simulator sessions.
An academic advisor will contact you within 24–48 hours to guide you through the admission process, scholarships, and compatibility with your professional schedule.
Faculty
Eng. Tomás Riera
Full Professor
Eng. Tomás Riera
Full Professor
Naval engineer specializing in the selection, integration, and optimization of propulsion systems for yachts, high-speed craft, and service vessels.
Eng. Sofía Marquina
Full Professor
Eng. Sofía Marquina
Full Professor
Materials engineer specializing in marine composites and corrosion protection systems for ships, yachts, and port structures.
Eng. Javier Bañuls
Full Professor
Eng. Javier Bañuls
Full Professor
Naval electrical engineer with over fifteen years of experience in the design, integration, and operation of power and automation systems.
Dr. Nuria Llobregat
Full Professor
Dr. Nuria Llobregat
Full Professor
Specialist in meteorological and operational decision-making for coastal and offshore navigation, integrating wind, wave, and current models.
Dr. Pau Ferrer
Full Professor
Dr. Pau Ferrer
Full Professor
Naval engineer with a PhD in applied hydrodynamics and over a decade of experience designing high-performance hulls and marine structures.
Cap. Javier Abaroa (MCA)
Full Professor
Cap. Javier Abaroa (MCA)
Full Professor
MCA-certified captain with command of ocean-going vessels, specializing in advanced maneuvering, navigation management, and bridge safety.