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Framework for the stream water temperature model

Apr 14, 2025 11:58 AM

CISESS Seed Grant: Developing a Basic Model Interface (BMI) for Stream Water Temperature to Enhance Water Quality Predictions in NOAA's Next Generation Water Resources Modeling Framework

Our CISESS Seed Grant Project will develop a Basic Model Interface (BMI) for stream water temperature modules, enabling seamless integration with NOAA’s NextGen framework. Key objectives include: • Developing a BMI that enables integration of the stream water temperature model with the NextGen platform. • Conducting rigorous testing and validation of the BMI to ensure model accuracy and reliability. • Providing real-time predictions of stream temperature dynamics.

Downscaling of vegetation products

Apr 14, 2025 11:06 AM

CISESS Seed Grant: Developing High Spatiotemporal Resolution Vegetation Datasets from Multi-Sensor Satellite Observations for Enhanced Ecological and Agricultural Monitoring

This seed grant project focuses on balancing the spatial resolution of LEO satellites and the temporal resolution of GEO satellites to daily high-resolution vegetation datasets (10–30m). We will use a pre-calibrated Look-Up Tables for seamless integration of satellite observations and a a framework ready for operational deployment, aligning with NOAA's mission to deliver actionable Earth observation data.

Long-range transport of wildfire smoke

Apr 14, 2025 10:14 AM

CISESS Seed Grant: Wildfire Smoke Early Warning: Using Earth Observations to Improve Health Interventions

This CISESS Seed Grant Project is to develop a wildfire smoke early-warning system using Earth observations, modelled data, and ground measurements to enable timely deployment of clinical support resources to high-risk areas in Maryland. Such a system would have clear benefits to mitigate health care impacts as a result of wildfire smoke events. The alert system will be developed in partnership with UMD School of Medicine and UMD Institute for Health Computing (IHC).

Results: 158 Articles found.

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