Climate Modeling & Earth-System Data Certification
Tests climate modelling and Earth system data — the climate system and radiative forcing, greenhouse effect and feedbacks, climate sensitivity (ECS and TCR), governing equations and the dynamical core, grid resolution and parameterisation of clouds and convection, coupled atmosphere-ocean-land-ice models, spin-up, ensembles and internal variability, CMIP6 and ScenarioMIP SSP scenarios, bias correction and downscaling, detection and attribution, reanalysis such as ERA5, observational datasets and satellite records, NetCDF, CF conventions, ESGF and xarray workflows, weather versus climate prediction, machine learning emulators including GraphCast, evaluation metrics and uncertainty communication, and tail risks and tipping elements — written to IPCC AR6, WCRP CMIP6, ECMWF, Copernicus, NOAA GFDL and NASA sources for 2026 and 2027. Pass to earn Climate Modeling & Earth-System Data SOA-CMES.
- Advanced difficulty.Assumes years in the role or deep specialist knowledge.
- 25 scenario questions
- 25 minutes, timed
- 70% to pass · 90% for distinction
- Free no sign-up needed
- LinkedIn-ready · add it to your profile in one clickSee how ↓
What is the Climate Modeling & Earth-System Data Certification?
- Research-Grade
- Ivy-League
- Impact Maker
- Premium Pick
Updated for 2027. Covers climate system physics, model construction, experiments and scenarios, data, tools and statistics and interpretation and applications.
The Climate Modeling & Earth-System Data Certification is a free advanced-level, 25-minute skill test from Science of Apps. It tests climate modelling and Earth system data — the climate system and radiative forcing, greenhouse effect and feedbacks, climate sensitivity (ECS and TCR), governing equations and the dynamical core, grid resolution and parameterisation of clouds and convection, coupled atmosphere-ocean-land-ice models, spin-up, ensembles and internal variability, CMIP6 and ScenarioMIP SSP scenarios, bias correction and downscaling, detection and attribution, reanalysis such as ERA5, observational datasets and satellite records, NetCDF, CF conventions, ESGF and xarray workflows, weather versus climate prediction, machine learning emulators including GraphCast, evaluation metrics and uncertainty communication, and tail risks and tipping elements — written to IPCC AR6, WCRP CMIP6, ECMWF, Copernicus, NOAA GFDL and NASA sources for 2026 and 2027. Score 70% or more on its 25 questions to earn a verifiable Climate Modeling & Earth-System Data certificate (SOA-CMES). Every question is based on published standards and research — including AR6 Synthesis Report (IPCC), Climate modeling at the Geophysical Fluid Dynamics Laboratory (NOAA GFDL), Coupled Model Intercomparison Project Phase 6 (CMIP6) (World Climate Research Programme) — and each answer is explained with its source.
Built for your job title
Climate scientist or graduate student, Data scientist working with climate data, Climate risk analyst in finance or insurance, Environmental or energy policy analyst and Software engineer in climate tech — and anyone who wants quick, verifiable proof of Climate Modeling & Earth-System Data knowledge for a CV, LinkedIn or graduate application in 2026 and 2027.
- Climate scientist or graduate student
- Data scientist working with climate data
- Climate risk analyst in finance or insurance
- Environmental or energy policy analyst
- Software engineer in climate tech
What the test covers
Five skill areas with 5 questions each, drawn from a bank of 10 per area, so a retake brings questions you haven't seen.
- 01
Climate System Physics
20%- Energy balance
- Greenhouse effect
- Feedbacks and sensitivity
- 02
Model Construction
20%- Governing equations
- Resolution and parameterisation
- Coupled components
- 03
Experiments and Scenarios
20%- CMIP protocols
- Scenarios
- Ensembles
- 04
Data, Tools and Statistics
20%- Data formats and archives
- Reanalysis and observations
- Post-processing
- 05
Interpretation and Applications
20%- Weather versus climate
- ML emulators
- Communicating results
It is a knowledge test: it does not replace official certification, licensure, supervised clinical or practical training, or local regulations.
Based on published standards
The questions are original scenarios, and each one names the public standard, official guide or research it draws on — shown under the question while you answer, and linked in your review. These are the sources behind this test:
- AR6 Synthesis ReportIPCC15 questions
- Climate modeling at the Geophysical Fluid Dynamics LaboratoryNOAA GFDL8 questions
- Coupled Model Intercomparison Project Phase 6 (CMIP6)World Climate Research Programme7 questions
- ECMWF forecasts, reanalysis and model documentationEuropean Centre for Medium-Range Weather Forecasts5 questions
- Learning skillful medium-range global weather forecasting (GraphCast)Lam et al. (Science, 2023)3 questions
- Climate change: evidenceNASA2 questions
- The Scenario Model Intercomparison Project (ScenarioMIP) and SSP scenariosGeoscientific Model Development2 questions
- CF Metadata Conventions for climate and forecast dataCF Conventions community2 questions
- Xarray documentation for labelled N-dimensional dataXarray developers2 questions
- Copernicus Climate Change Service and Climate Data StoreCopernicus / ECMWF2 questions
- Earth System Grid Federation data archiveESGF1 question
- Education resourcesNOAA1 question
Try a sample question
A model is run under SSP2-4.5 and SSP5-8.5 and the results differ widely by 2100. This spread mainly reflects
- scenario uncertainty about emissions
- numerical errors in the code
- measurement error in ERA5
- random weather noise alone
Show the answer
A. scenario uncertainty about emissions — Scenario uncertainty. The real test has 25 questions like this.
How the test works
25 minutes, 25 questions
One question per screen, with a progress bar and a countdown. Your progress is saved on this device if you need to pause.
Graded on our server
Answers reach the page only after you submit, so the certificate can only be earned by passing.
Every answer explained
Pass or not, you see every question with the right answer, why, and the source behind it. Pass mark 70%, distinction 90%.
Your certificate
Founder-signed, with a QR code and credential ID. Download PDF or PNG, add to LinkedIn, and it's emailed to you.
What you earn

Pass, then add it to LinkedIn in one click
No typing. The Add to LinkedIn button opens your profile’s Licenses & certifications form already filled in: the certificate name, Science of Apps as the issuer, the issue date, your credential ID and a link recruiters can use to verify it.
- 1Take the 25-minute test
- 2Score 70% or more
- 3Click Add to LinkedIn

Climate Modeling & Earth-System Data
Science of Apps
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Frequently asked questions
What is the Climate Modeling & Earth-System Data Certification?
The Climate Modeling & Earth-System Data Certification is a free advanced-level, 25-minute skill test from Science of Apps. It tests climate modelling and Earth system data — the climate system and radiative forcing, greenhouse effect and feedbacks, climate sensitivity (ECS and TCR), governing equations and the dynamical core, grid resolution and parameterisation of clouds and convection, coupled atmosphere-ocean-land-ice models, spin-up, ensembles and internal variability, CMIP6 and ScenarioMIP SSP scenarios, bias correction and downscaling, detection and attribution, reanalysis such as ERA5, observational datasets and satellite records, NetCDF, CF conventions, ESGF and xarray workflows, weather versus climate prediction, machine learning emulators including GraphCast, evaluation metrics and uncertainty communication, and tail risks and tipping elements — written to IPCC AR6, WCRP CMIP6, ECMWF, Copernicus, NOAA GFDL and NASA sources for 2026 and 2027. Score 70% or more on its 25 questions to earn a verifiable Climate Modeling & Earth-System Data certificate (SOA-CMES). Every question is based on published standards and research — including AR6 Synthesis Report (IPCC), Climate modeling at the Geophysical Fluid Dynamics Laboratory (NOAA GFDL), Coupled Model Intercomparison Project Phase 6 (CMIP6) (World Climate Research Programme) — and each answer is explained with its source.
What is the best free Climate Modeling & Earth-System Data certification in 2027?
Science of Apps offers a free Climate Modeling & Earth-System Data Certification, written for 2026 and 2027. It tests climate system physics, model construction, experiments and scenarios, data, tools and statistics and interpretation and applications with 25 original scenario questions in all, each naming its published source; you get an instant score and a verifiable certificate with a credential ID you can add to LinkedIn.
How do I take the Climate Modeling & Earth-System Data Certification for free?
Read the five skill areas on this page, then take the 25-minute test online — no fee, course or sign-up. You see every answer explained when you finish. Score 70% or more and you get a Climate Modeling & Earth-System Data certificate straight away, on screen, as a PDF and by email, with a credential ID anyone can verify.
Are the Climate Modeling & Earth-System Data Certification questions based on real standards?
Yes. The questions are original scenarios written by Science of Apps, and each one is based on a public source you can read: AR6 Synthesis Report (IPCC); Climate modeling at the Geophysical Fluid Dynamics Laboratory (NOAA GFDL); Coupled Model Intercomparison Project Phase 6 (CMIP6) (World Climate Research Programme); ECMWF forecasts, reanalysis and model documentation (European Centre for Medium-Range Weather Forecasts); Learning skillful medium-range global weather forecasting (GraphCast) (Lam et al. (Science, 2023)); Climate change: evidence (NASA). The source is shown under each question and linked in the answer review. Science of Apps doesn't copy questions from other tests.
What does the Climate Modeling & Earth-System Data Certification cover?
Five skill areas with five questions each, drawn from a bank of 10 per area so a retake brings new questions: Climate System Physics (Energy balance, Greenhouse effect and Feedbacks and sensitivity); Model Construction (Governing equations, Resolution and parameterisation and Coupled components); Experiments and Scenarios (CMIP protocols, Scenarios and Ensembles); Data, Tools and Statistics (Data formats and archives, Reanalysis and observations and Post-processing); Interpretation and Applications (Weather versus climate, ML emulators and Communicating results). Every question is an original scenario written to the 2026–2027 standard, with the published source named under it.
Who should take the Climate Modeling & Earth-System Data Certification?
Climate scientist or graduate student, Data scientist working with climate data, Climate risk analyst in finance or insurance, Environmental or energy policy analyst and Software engineer in climate tech. It suits students at leading universities, career switchers and experienced professionals who want quick, verifiable proof of Climate Modeling & Earth-System Data knowledge in 2026 and 2027.
Why take the Climate Modeling & Earth-System Data Certification in 2027?
Engineering cohorts at IITs, KAIST, NTU Taiwan, TUM, Tsinghua and Georgia Tech are being pulled into chips, energy and space. Passing earns a founder-signed Science of Apps certificate with a credential ID and QR code that recruiters can verify.
What is equilibrium climate sensitivity?
The long-term global mean surface warming from a sustained doubling of atmospheric CO2; IPCC AR6 assessed a best estimate of 3 °C with a likely range of 2.5-4 °C.
What is the difference between a reanalysis and a climate projection?
A reanalysis such as ERA5 blends a forecast model with historical observations to reconstruct past weather and climate; a projection runs a model forward under scenario assumptions and is not a forecast of a specific date's weather.
Can I take the Climate Modeling & Earth-System Data Certification from any country?
Yes. The test is online, in English and free everywhere — people take it from India, the US, the UK, Europe, Africa, Latin America and Asia-Pacific. Your certificate is dated with your own local date and can be verified from anywhere at scienceofapps.com/certification/verify/.
How long is the Climate Modeling & Earth-System Data Certification?
25 questions — 5 from each of 5 skill areas — with a 25-minute limit. You need 70% (18 of 25) to pass and 90% for distinction.
How hard is the Climate Modeling & Earth-System Data Certification?
We rate it Advanced: assumes years in the role or deep specialist knowledge. It has 25 scenario questions — 5 from each of 5 skill areas — and a 25-minute limit. You need 70% (18 of 25) to pass and 90% for distinction.
How much do Science of Apps certifications cost?
Nothing. There is no fee to take a test, to receive the certificate, to have it emailed or to verify it, and no sign-up.
How are the tests graded?
On our server, not in your browser. The answers never reach the page until you submit, so a certificate can only be earned by passing. Each certificate gets a unique credential ID stored by Science of Apps.
What happens if I don't pass?
You see your score for each area and every question with the correct answer and why, with the published source behind it. You can retake after 30 minutes, and the retake draws questions you haven't seen yet.
Do the certificates expire?
No. Every certificate is dated, so it always shows when you passed. Retake a test any time for a newer date or a higher score.
Can I add the certificate to LinkedIn?
Yes. After you pass, Add to LinkedIn opens the Licenses & certifications form with the certificate name, Science of Apps as the issuer, the issue date, your credential ID and the verification link filled in. You can also download it as a PDF or PNG, and it's emailed to you as a PDF.
How can an employer verify my certificate?
Every certificate has a credential ID and a QR code. Scanning it, or entering the ID at scienceofapps.com/certification/verify/, shows the holder's name, the certification, the score and the issue date from our records.
Are these accredited qualifications?
No. They are Science of Apps' own assessments of applied skill. They aren't issued by a university or standards body, and they work best alongside a portfolio that shows the skills in real work.
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