Metadata
Science Undergraduate Evaluate Hard-
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.
Review & Revise
Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%
Mock data used for demo purposes.