Global climate models (GCMs) have become increasingly important for climate change
science and provide the basis for most impact studies. Since impact models are highly …

Forecasts of crop yield are an important tool for a variety of stakeholders, but most studies
produce large-scale, late-season yield forecasts that are not appropriate for farmers …

Achievable grain yields can vary widely between seasons in rain-fed agriculture. Adjusting
N fertiliser inputs according to achievable grain yields could reduce over-fertilisation in low …

Predictive skills of retrospective seasonal climate forecasts (hindcasts) tailored to Philippine
rice production data at national, regional, and provincial levels are investigated using …

Short-range predictions of crop yield provide valuable insights for agricultural resource
management and likely economic impacts associated with low yield. Such predictions are …

Weather forecasts can enhance the utilization of scientific irrigation scheduling tools, crucial
for maximizing agricultural water use efficiency. This study employed quantitative weather …

This research uses a quantitative methodology for directly comparing the responses of
observed crop yields in the SE USA to ENSO phenomena classified using dissimilar ENSO …

Linking decadal variability with short-term variability could be potentially exploited for
improving seasonal climate forecasting for assisting crop management decisions. The …

Risk averse dryland crop management in the US southern High Plains stabilizes annual
yields, however in some years the full yield potential is unrealized thereby reducing the …

The conventional approach for calibrating/validating a crop model considers few to many
experiments. However, few experiments could lead to higher uncertainties and a large …