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Friday, July 31, 2026

The Network for Detection of Atmospheric Composition Change

CISESS Scientist Jeannette Wild (retired) co-authored a new article in the journal Atmospheric Chemistry and Physics on the Network for Detection of Atmospheric Composition Change (NDACC). The articles covers the history, satellites, observations, scientific achievements and future directions of the organization.

Friday, July 24, 2026

Assessing Design and Deployment Strategies for Future Microwave-Sounding Missions

CISESS Scientist Dr. Zaizhong Ma and co-authors, including CISESS Deputy Director Dr. Hugo Berbery, recently published a study on the expected forecast impact of future microwave sounding instruments planned under NOAA’s Near Earth Orbit Network (NEON) program. This work was done using the Ensemble of Data Assimilations (EDA) for the Integrated Forecasting System in collaboration with the European Centre for Medium-Range Weather Forecasts (ECMWF).

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RGB Image

Apr 14, 2025 01:17 PM

RGBs Recommendations for Weather Forecasting

At the 2025 Red-Green-Blue (RGBs) Experts and Developers Workshop (1–3 April), CISESS Scientist and Satellite Liaison to the NWS Weather Prediction Center (WPC) and Ocean Prediction Center (OPC), Christopher Smith, presented a talk on “RGBs in testbeds for U.S . Weather Offices.”

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.

Results: 156 Articles found.

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