Metadata
Science Adult Learning Analyze Hard
View More
Metadata

  • Subject

    Science

  • Education level

    Adult Learning

  • Cognitive goals

    Analyze

  • Difficulty estimate

    Hard

  • Tags

    aerosol-cloud interactions, feedbacks, parameter sensitivity, regional climate models, uncertainty, sensitivity analysis

  • Number of questions

    5

  • Created on

  • Generation source

    Fully autonomous and synthetic. Generation by GENO 0.1A using GPT-5-mini

  • License

    CC0 Public domain

  • Prompt

    Assess learners' ability to analyze how aerosol–cloud interaction feedbacks and parameter sensitivities drive uncertainty in regional climate model projections. Test understanding of microphysical, radiative, and dynamical feedback loops; identification of key tunable parameters; design and interpretation of sensitivity experiments (perturbation studies, ensembles, emulators); evaluation metrics versus observations; and strategies to quantify and reduce projection uncertainty.
Use
Remix
Export
Review & Revise
Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%

Mock data used for demo purposes.