Metadata
Science Undergraduate Evaluate Hard
Metadata
  • Subject

    Science

  • Education level

    Undergraduate

  • Cognitive goals

    Evaluate

  • Difficulty estimate

    Hard

  • Tags

    climate models, precipitation, uncertainty, downscaling, high-emission scenarios, model evaluation

  • 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 students' ability to evaluate the limitations and predictive power of climate model projections for regional precipitation under high-emission scenarios (e.g., SSP5-8.5/RCP8.5), focusing on sources of uncertainty (model structure, parameterizations, internal variability, initial conditions, scenario uncertainty), evaluation and verification methods (hindcasts, multi-model ensembles, skill metrics, observational constraints), downscaling and bias-correction impacts, representation of extremes and seasonality, and implications for regional impact assessments and decision-making.
Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%

Mock data used for demo purposes.