Hogan, D., Schlenker, W. Non-linear relationships between daily temperature extremes and US agricultural yields uncovered by global gridded meteorological datasets. Nat Commun
Objective:
- Estimate non-linear relationships between temperature and corn or soybean yields, controlling for precipitation, state-specific quadratic time trends to capture all time-invariant confounding factors
Case:
- US and Sub-Saharan Africa, grid
Methodology:
- Regression
Data Source
- ERA5-Land and GMFD
- Weather
Findings:
- Harmful effects of temperature extremes when linked to US corn and soybean yields
