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Meteorologist

A global AI analysis is below; pick a country for local salary, licensing and migration data.

Mixed

AI significantly enhances meteorologists' capabilities, especially in data processing and pattern recognition, but critical decisions and legal responsibilities still rely on human professional judgment.

AI Exposure Index (AIOE)
67 / 100

More exposed than about 67% of occupations (percentile; higher = more exposed to AI)

🤖 AI already replacing this job (tools / products / research / news)
  • GRAF Model Major 2018

    Replaced meteorologists in manually analyzing and adjusting numerical weather prediction models, automating processing of large meteorological data to generate refined forecasts.

  • Replaced manual analysis in meteorologists' short-term precipitation forecasting, enabling automatic processing and rapid release of radar data.

  • GraphCast Model Major 2023

    Replaces meteorologists' work in global weather forecasting using traditional numerical models, automating analysis and generating high-precision forecast results.

  • Pangu-Weather Model Major 2022

    Replaces meteorologists' work in medium-term weather forecasting that relies on supercomputers running models; quickly generates global forecasts and compares multiple scenarios.

  • ClimaCell Platform Partial 2016

    Replaced meteorologists' customized weather forecasting for specific industries (e.g., aviation, logistics) by directly outputting business-related recommendations through automated models.

  • FourCastNet Model Partial 2022

    Replaced some work of meteorologists in data assimilation and model runs, using deep learning to directly output global variables, accelerating the forecast process.

⚠ Tasks AI will take over or replace
  • Routine meteorological data collection and preliminary quality control
  • automated generation of standard weather forecasts based on numerical model output
  • Automatic generation and basic analysis of weather charts
  • Automatic generation of climate data statistical reports
  • Automated triggering and issuance of simple weather alerts
↑ Tasks AI will augment
  • Improving extreme weather prediction accuracy using machine learning and ensemble forecasting.
  • Quickly process multi-source big data such as satellites and radar through AI to discover new weather patterns
  • AI assists in diagnosing complex weather system evolution, improving forecasters' judgment efficiency.
  • Automatically generate personalized industry forecasts (e.g., aviation, energy, agriculture).
  • Short-term climate prediction and impact assessment based on deep learning
🛡 Human moat
  • Deep understanding and creative interpretation of the physical mechanisms of weather systems
  • Making high-risk decisions under uncertainty (e.g., whether to issue disaster warnings)
  • Coordination, communication and accountability with departments such as emergency management and aviation dispatch
  • Breakthrough climate research and new theory proposals
  • Review and correct the physical plausibility of AI predictions
Skills to build (next 5 years)
  • Python/R Data Analysis and Machine Learning (TensorFlow, PyTorch)
  • Meteorological big data processing (NetCDF, GRIB, satellite/radar data)
  • Use and debugging of numerical weather prediction models (WRF, ICON)
  • Application of AI explainability methods in meteorology
  • Cross-disciplinary knowledge of meteorology and industry (e.g., aviation meteorology, energy meteorology)
  • Data visualisation and decision support system setup
Entry-level outlook

Entry-level roles have narrowed slightly, as AI can automate basic data collection and initial analysis, reducing demand for junior positions, but newcomers with programming and AI skills are more sought after.

🚀 How to level up in the AI era

Transitioning from traditional forecaster to AI-enhanced meteorological analyst: mastering machine learning and data science, focusing on multi-source data fusion, extreme event prediction, and industry-specific services; while strengthening physical understanding and decision communication, becoming a key link between AI and business decisions.

Local data by country

Overall: 5.4/10 Workforce: 1,200 Occupation code: 2412 (CNO) Skilled migration occupation

Ratings · Overall 5.4/10

IncomeDemandProspectsPR FriendlyAI RiskCompetitionIntensityLearningDurationCertificationPR Difficulty

Salary

ExperienceAnnual (EUR)
薪资中位数€36,790 ~ €36,790全国年薪中位数(来源:INE EAES 2022,CNO 大类)
Entry level (0–3 years)€25,000 ~ €32,000Public sector salaries
Mid-level (3–8 years)€32,000 ~ €45,000AEMET or other institutions
Senior (8+ years)€45,000 ~ €60,000Senior forecasters or management
平均薪资€39,356 ~ €39,356全国年薪均值(来源:INE EAES 2022,CNO 大类)

Education Path

StageDurationCost (EUR)
Bachelor's degree4 years (Grado)€1,000~€4,000
Master's degree1-2 years (Máster)€1,500~€6,000

Qualifications

QualificationIssuer
Degree in Physics/Environmental ScienceSpanish UniversityRequired
Academic Qualification Certification (Homologación)Spanish Ministry of EducationRequired
Official master's degreeSpanish UniversityOptional

Migration (to Spain)

VisaDetails
Tarjeta azul UE EU Blue CardSuitable for highly skilled professionals, requiring a university degree and a work contract, with an annual salary threshold of about 34,000 euros.
Cuenta ajena Work Permit for Employed PersonsEmployed work residence requires employer sponsorship, and the contract meets minimum wage requirements.
Altamente cualificad Highly Qualified ProfessionalThe Ley 14/2013 framework is suitable for in-demand occupations and has a faster process.

Who it fits

✓ Fits
  • Physics or mathematics graduates with a strong interest in atmospheric science
  • Enjoys data analysis and modeling, adapts to shift forecasting work
  • People who are committed to public service or environmental research
✗ Not for
  • Dislikes frequent shifts and stressful environments
  • Those who only want to pursue high salaries

Career outlook

Assistant meteorologists can be promoted to senior forecasters or research team leaders. Further studies can lead to university teaching or climate research, with some moving to private meteorological consulting firms.

Spanish meteorological services are mainly employed by the National Meteorological Agency (AEMET) and research institutions. Digital transformation and climate change are driving demand, but the number of positions is limited and competition is fierce.

Growth areas:
Climate ChangeDigitalizationRenewable EnergyBig Data

FAQ

What is the salary level of meteorologists in Spain?
Entry-level public sector students can pay about 25,000-32,000 euros, while seniors can reach up to 60,000 euros. Private consulting firms may have higher levels but fewer positions.
How can a non-EU citizen become a Spanish meteorologist?
Academic credentials must be completed and a work contract must be obtained. You can apply for the EU Blue Card or the Highly Skilled Professional Visa.
What educational qualifications are required to become a meteorologist?
Usually, a bachelor's degree in physics, environmental science, etc., plus a master's degree in meteorology. The annual tuition fee for public universities is about 1,000–4,000 euros.

Data sources

Salary ranges are estimates aggregated from public listings on InfoJobs, Indeed, Glassdoor and Tecnoempleo; employment and demand outlook cite the Spanish Public Employment Service (SEPE) and the National Statistics Institute (INE); visa and migration details follow the latest Spanish rules covering the EU Blue Card (Tarjeta azul UE), the highly-qualified professional permit under Ley 14/2013, the Cuenta ajena work-residence permit and qualification recognition (homologación) for regulated professions. Figures are indicative only — always refer to the latest official sources.

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