世界银行-天气的错误测量_在经济背景下使用遥感地球观测数据（英）-2025.1_69页_3mb

Analysis of "The Mismeasure of Weather: Using Remotely Sensed Earth Observation Data in Economic Contexts"

The paper examines the use of remotely sensed Earth observation (EO) weather data in economic analyses, exposing significant measurement inconsistencies across various EO products. It identifies a critical gap in ground-based weather stations across Sub-Saharan Africa, necessitating reliance on EO data despite their inherent variability.

Key findings include:

• EO products report disparate weather "truths" due to differing measurement methodologies, not just variations in cardinal measurement values.
• This inconsistency severely impacts economic models, revealing unstable coefficient rankings and outcomes.
• Results vary considerably based on the choice of EO source, geoclimatic context, and econometric specification.

The paper concludes scientists should view EO data critically and methodologically rigorously, acknowledging the social and systemic factors influencing scientific measurement, particularly in data-scarce regions.