datasets and developing new machine learning models:

1. What is the link between green up, soil moisture changes and onset metrics? Is it possible to find onset definitions that are inherently more predictable while remaining agronomically useful?
2. Decomposing predictability of onset metrics into different types of uncertainty (things we can and can’t predict).
3. How can we use the results of 1 and 2 to adapt and improve our current machine learning downscaling models for forecasting onset (e.g. inclusion of tropical modes).

datasets and developing new machine learning models:

1. What is the link between green up, soil moisture changes and onset metrics? Is it possible to find onset definitions that are inherently more predictable while remaining agronomically useful?
2. Decomposing predictability of onset metrics into different types of uncertainty (things we can and can’t predict).
3. How can we use the results of 1 and 2 to adapt and improve our current machine learning downscaling models for forecasting onset (e.g. inclusion of tropical modes).