Sub-seasonal applications for Agriculture and Environment Project

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This project will develop the science and relevant products that serve a variety of actors such as the management of water resources and food supplies. Useful information on sub-seasonal to seasonal time scales is underpinned by coupled atmosphere-ocean-land assimilation and prediction systems to monitor the progression of monsoons, clustering of atmospheric rivers, snowpack evolution, and water storage, as well as the resolution of fine-scale processes that capture the cycling of water and dynamics of vegetation. This project may also include phenomena such as drought and wildfires. Probabilistic information is a central component of prediction on this time scale. Communicating with the relevant users and partners and the challenges of communicating warnings for slow onset disasters should be addressed will provide the link to social sciences.

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