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Course · 300 h · 5 modules
Course on Weather Forecasting Applications
This course provides you with the tools and knowledge to interpret numerical models, analyze real-time data, and create custom forecasts. Learn to anticipate extreme weather events and optimize decisions in sectors such as…
Duration300 h
FormatOnline
Starts30 November
Places20 / 20
Prior knowledge
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Programme overview
What is the Course on Weather Forecasting Applications?
Discover the power of applied weather forecasting.
This course provides you with the tools and knowledge to interpret numerical models, analyze real-time data, and create custom forecasts. Learn to anticipate extreme weather events and optimize decisions in sectors such as agriculture, energy, and transportation.
Differential Advantages
- Analysis of Prediction Models: GFS, ECMWF, WRF, and other cutting-edge models.
- Data Visualization and Processing: Specialized software for interpreting meteorological information.
- Short, Medium, and Long-Term Forecasting: Techniques for different time horizons.
- Practical Applications: Case studies in key sectors.
- Flexibility: Online format with access to resources and personalized support.
Programme type
Course
Study mode
Online
Duration
300 hours
Modules
5
Start date
08-12-2026
Programme highlights
- Forecasting Fundamentals: Master the principles of meteorology and numerical weather models.
- Tools and Software: Learn to use specialized software for analyzing and visualizing meteorological data.
- Model Interpretation: Develop the ability to interpret model outputs and evaluate their accuracy.
- Practical Applications: Explore real-world case studies in agriculture, aviation, energy, and disaster management.
- Advanced Techniques: Delve into the use of artificial intelligence and machine learning to improve predictions.
- Acquire the skills necessary to create and apply accurate and effective weather forecasts.
Curriculum
Programme Structure
The programme is structured in 5 modules, listed below in order of study.
01
Meteorology Basics and Prediction Models
- Introduction to Meteorology: Basics, Physical Principles and Atmospheric Phenomena
- Weather prediction models: deterministic, probabilistic and numerical models
- Observation and collection of meteorological data: weather stations, satellites, radars and oceanographic buoys
- Atmospheric processes Key: Atmospheric circulation, fronts, low and high pressure systems, and convective systems
- Short- and long-term prediction: differences, techniques and tools used for both approaches
02
Weather prediction apps in navigation and transportation
- Weather forecast for sea navigation: impact of wind, waves and storms on the routes and safety of boats
- Use of meteorological models in aviation: turbulence prediction, winds, visibility and flight management
- Weather forecast in the land industry: traffic conditions, storms, frosts and their impact on road safety
- Prediction applications in logistics and freight transport - route optimisation and reduction of operational risks
- Tools and support systems for predicting weather conditions in multimodal transport
03
Weather prediction for agriculture and natural resource management
- Climate prediction for agriculture: monitoring of rainfall, extreme temperatures and its impact on crops
- Prediction models for agricultural irrigation: evaporation estimation and control of water resources
- Frost and drought prediction: how weather models anticipate extreme events and their impact on agricultural production
- Forest management prediction tools: forest fire tracking and damage prevention
- Prediction applications in water resource management: water levels, river flows and reservoir planning
04
Weather prediction applications in energy and industry
- Weather prediction in the energy industry: impact of the climate on the production of solar, wind and thermoelectric energy
- Prediction models for the management of electrical networks - demand forecast and management of energy resources
- Prediction of climatic conditions for the production of renewable energy - optimisation of solar and wind plants
- Operations planning in the mining industry: extreme weather conditions, security and storm prediction
- Use of weather forecast in construction: planning of works based on weather conditions
05
Final Project and Weather Prediction Application
- Design of a weather forecast project for a specific sector: Choice of application and project objectives
- Implementation of prediction tools: integration of models and data collection relevant to the chosen sector
- Meteorological Data Analysis: Interpretation of Results and Preparation of Prediction Reports
- Weather Prediction Simulation: Creating Prediction Scenarios for Decision Making
- Presentation of the final project: Presentation of the results obtained, analysis and recommendations based on the prediction
Workload
Study Time and Workload
300 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
Meteorologists and climatologists looking to delve deeper into predictive models and cutting-edge tools.Professionals in the agricultural and energy sectors who require accurate meteorological information for strategic decision-making.Risk and natural disaster management professionals interested in optimizing preparedness and response to extreme weather events.Researchers and students in atm
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
- 01Interpreting and using data to optimize decision-making
- 02Evaluate risks and opportunities for resource optimization
- 03Anticipating and mitigating adverse impacts in climate-sensitive operations
- 04Forecast accurately to improve operational efficiency
- 05Adapting strategies and tactics in real time for an agile response to the weather
- 06Leveraging weather information to optimize logistics and resource deployment
Careers
Career Opportunities
01Operational Meteorologist: Real-time weather forecasting and monitoring for various sectors.
02Meteorological Consultant: Advising companies and organizations on the impact of climate.
03Atmospheric Science Researcher: Developing and improving climate prediction models and understanding.
04Meteorological Data Analyst: Processing and analyzing large volumes of data to improve forecasts.
05Meteorological Software Developer: Creating and maintaining weather forecasting and visualization applications.
06Meteorological Station Technician: Installing, maintaining, and calibrating measuring instruments.
07Climate Risk Manager: Assessing and mitigating the impacts of extreme weather in different areas. sectors.
08Environmental Educator: Dissemination and teaching of climate science and the importance of weather forecasting.
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Questions
Entry Requirements
To provide timely and accurate information on future weather conditions.
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.
They allow farmers to make informed decisions about planting, irrigation, fertilization and harvesting, optimizing yield and minimizing losses from adverse weather events.
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
Academic/Professional Profile:Bachelor's/Undergraduate Degree in Atmospheric Sciences, Physics, Mathematics, Computer Engineering, or a related field; or demonstrable professional experience in meteorology, data analysis, or programming.Technical Knowledge:Fundamentals of meteorology, numerical prediction models (NWP), statistics, data analysis, programming (Python/R), database management.Skills:Analytical skills, data interpretation, problem-solving, effective communication (oral and written), teamwork.Documentation:Updated CV, copy of degree/certificates, ID/Passport,
Questions?
Frequently Asked Questions
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