5.4AI / 10
Use the score to choose where to start adapting
Gradient 3Compare the score with the work you actually do. Separate repetitive work, work that needs review, and work that depends on human judgement.
Source ID: SRC-2026-07-14-ilo-wp140International Labour Organization (ILO) Working Paper 140
Meteorologists in the age of AI: impact evidence and adaptation options
ISCO-08 2112 · Thai source label: นักอุตุนิยมวิทยา
This score estimates where generative AI may assist with or perform parts of tasks. It does not predict that a job will disappear.
What the ILO evidence measures
Occupation codeISCO-08 2112
AI exposure groupGradient 3
Score sourceILO Working Paper 140
Tasks in this occupation
O*NET statements are enrichment from US roles connected through the official BLS and O*NET crosswalk chain. Confirm that an example fits your local work before using it.
Broadcast weather conditions, forecasts, or severe weather warnings to the public via television, radio, or the Internet or provide this information to the news media.
Use this source statement to identify repetitive work, review points, and work that still depends on human judgement.
Gather data from sources such as surface or upper air stations, satellites, weather bureaus, or radar for use in meteorological reports or forecasts.
Use this source statement to identify repetitive work, review points, and work that still depends on human judgement.
Prepare forecasts or briefings to meet the needs of industry, business, government, or other groups.
Use this source statement to identify repetitive work, review points, and work that still depends on human judgement.
Measure wind, temperature, and humidity in the upper atmosphere, using weather balloons.
Use this source statement to identify repetitive work, review points, and work that still depends on human judgement.
Analyze climate data sets, using techniques such as geophysical fluid dynamics, data assimilation, or numerical modeling.
Use this source statement to identify repetitive work, review points, and work that still depends on human judgement.
Formulate predictions by interpreting environmental data, such as meteorological, atmospheric, oceanic, paleoclimate, climate, or related information.
Use this source statement to identify repetitive work, review points, and work that still depends on human judgement.
Perform managerial duties, such as creating work schedules, creating or implementing staff training, matching staff expertise to situations, or analyzing performance of offices.
Use this source statement to identify repetitive work, review points, and work that still depends on human judgement.
Consult with other offices, agencies, professionals, or researchers regarding the use and interpretation of climatological information for weather predictions and warnings.
Use this source statement to identify repetitive work, review points, and work that still depends on human judgement.
Skills used in this occupation
O*NET importance ratings provide a sourced starting point for deciding which existing capabilities to strengthen.
Reading Comprehension
Importance rating: 4.12 out of 5.
Active Learning
Importance rating: 4.00 out of 5.
Active Listening
Importance rating: 4.00 out of 5.
Critical Thinking
Importance rating: 4.00 out of 5.
Science
Importance rating: 4.00 out of 5.
Speaking
Importance rating: 4.00 out of 5.
ESCO skill-group context
These shares describe how ESCO skill records for the occupation group are distributed across broad categories. They are not personal capability scores or mandatory skills for every job.
information skills
44% of the published ESCO matrix row
communication, collaboration and creativity
35.5% of the published ESCO matrix row
working with machinery and specialised equipment
6.7% of the published ESCO matrix row
management skills
6% of the published ESCO matrix row
Build a plan from the task you choose
The Planner does not display invented capability percentages. You select a task, baseline the current method, run a safe bounded experiment, and keep evidence before deciding whether to continue.
30 days
Select one task, map its process, and measure time, quality, and rework across at least three examples.
60 days
Test one bounded step with synthetic or de-identified data, then log errors, human checks, and limitations.
90 days
Use the reviewed method in a real cycle with the process owner's approval, or stop if the result is not good enough.
Relevant courses
Recommendations match reviewed course categories to ISCO-08 and mapped ESCO skill-group records. Occupation-title keywords are not used as sole evidence. Before enrolling, recheck the syllabus, language, schedule, cost, and current access with the provider.
The specific items below are derived from structurally validated ISCO/ESCO rules, not an occupation-by-occupation expert endorsement.
Prepare and visualize data with Microsoft Power BI
เตรียมและแสดงข้อมูลด้วย Microsoft Power BI
- Why it is recommended
- This course aligns with information skills. This group represents 44% of the mapped ESCO skill records for ISCO-08 2112.
- Practice output
- Clean a de-identified sample from one work process, visualise it, and reconcile the totals to the source.
- Study time
- 7 modules
- Cost and access
- The Microsoft Learn path is free, but some Power BI service or collaboration features can require a product license.
Data Fundamentals
พื้นฐานข้อมูล
- Why it is recommended
- This course aligns with information skills. This group represents 44% of the mapped ESCO skill records for ISCO-08 2112.
- Practice output
- Create a small data dictionary with checks for types, blanks, duplicates, and provenance.
- Study time
- 3–10 hours
- Cost and access
- The course is free on IBM SkillsBuild and registration is required for access or completion records.
Google Data Analytics Certificate
ประกาศนียบัตรวิชาชีพด้านการวิเคราะห์ข้อมูลจาก Google
- Why it is recommended
- This course aligns with information skills. This group represents 44% of the mapped ESCO skill records for ISCO-08 2112.
- Practice output
- Frame one workplace question, build a checkable data table, and report findings with limitations.
- Study time
- About 240 hours or 3–6 months
- Cost and access
- Google authors the program and delivers it through Google Career Skills or Coursera; US and Canada pricing is USD 49 per month after a 7-day trial and local pricing may differ.
AI Fluency
ความคล่องตัวของ AI
- Why it is recommended
- A cross-occupation foundation, not a course specific to Meteorologists: use it to practise AI literacy, prompting, output checks, and responsible use.
- Practice output
- Choose one Meteorologists duty, use synthetic data to create a prompt, verify three outputs against a source, and record the errors.
- Study time
- 7 modules
- Cost and access
- Microsoft Learn content is free and can be consumed without signing in; a free profile is needed to save progress or achievements.
This page uses scores from International Labour Organization (ILO) Working Paper 140, official Thai duties from NSO, mapped O*NET enrichment, and ESCO skill-group context with an explicit mapping scope. Roongan does not fill evidence gaps with generated claims.
This service uses the ESCO classification of the European Commission.