Multi-model prediction engine: scaling and operational prototyping (2022- 2023) by colorado state university supporting the management, analysis, and assessment of seasonal water supply forecasts

The National Resources Conservation Service awarded a $230,000 cooperative agreement to Colorado State University from September 30, 2022 to September 29, 2023 to support the Multi-Model Prediction Engine project. This project will scale and operationally prototype a multi-model prediction engine to support the management, analysis, and assessment of seasonal water supply forecasts under the Environmental Quality Incentives Program. The Environmental Quality Incentives Program promotes agricultural production, forest management, and environmental quality through voluntary land management practices. Colorado State University will leverage its expertise in water resource modeling and prediction to deliver an operational prototype of a multi-model prediction engine that analyzes seasonal water supply forecasts. This engine will support natural resource managers in making informed decisions about water availability and allocation.