Nature Communications · 2024 · 22 citations · 36 references
AgricultureAgronomyCrop SciencesForecastingNumerical Weather PredictionWeather ForecastingYield EstimationYield ForecastingYield PredictionAgricultural Yield ForecastingClimate-driven ForecastingClimate-driven Yield PredictionEarly Warning PredictionEl Niño-southern Oscillation CouplingEl Niño-southern Oscillation VariabilityTemporal Yield PredictionWeather-driven Yield Prediction
Provided the considerable logistical challenges of anticipatory action and disaster response programs, there is a need for early warning of crop failures at lead times of six to twelve months. But crop yield forecasts at these lead times are virtually nonexistent. By leveraging recent advances in climate forecasting, we demonstrate that global preseason crop yield forecasts are not only possible but are skillful over considerable portions of cropland. Globally, maize and wheat forecasts are skillful at lead times of up to a year ahead of harvest for 15% and 30% of harvested areas, respectively. Forecasts are most skillful in Southeast Africa and Southeast Asia for maize and parts of South and Central Asia, Australia, and Southeast South America for wheat. Wheat forecasts, furthermore, remain skillful at lead times of over 18 months ahead of harvest in some locations. Our results demonstrate that the potential for preseason crop yield forecasts is greater than previously appreciated. Crop failures are potentially predictable much further in advance than previously thought possible. Using multiyear forecasts of the El Niño Southern Oscillation (ENSO), Anderson et al. show that crop failures can be predicted before the planting season even begins in some countries.
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Deep learning for multi-year ENSO forecasts
Yoo‐Geun Ham, Jeong-Hwan Kim, Jing‐Jia Luo · Nature · 2019 · 1.3K citations
U.S. Government Accountability Office
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Impacts of El Niño Southern Oscillation on the global yields of major crops
Toshichika Iizumi, Jing‐Jia Luo, Andrew J. Challinor et al. · Nature Communications · 2014 · 449 citations · Full text
Agriculture, Agronomy, Crop Sciences +16