A027
Next-Generation Geostationary Measurement and Analysis for Weather Prediction
Next-Generation Geostationary Measurement and Analysis for Weather Prediction
Session ID#: 74462
Session Description:
The GOES-R series is the United States’ most advanced fleet of geostationary weather satellites, and they will provide imagery and atmospheric measurements through the beginning of the 2030s. Development of new sensors and algorithms requires nearly a decade of lead time placing importance on forward-looking measurement and analysis approaches for weather prediction. Work has already begun – looking towards 2030-2050, NOAA has been studying potential architectures (NOAA Satellite Observing Systems Architecture) that consider various orbits, new measurements, and partnership possibilities to cost-effectively improve quality of remote sensing for weather forecasting. This section solicits work related to these architecture concepts that:
- Investigates improved NWP models, retrieval methods, and assimilation approaches that are capable of incorporating new sensor architectures
- Investigates observation techniques to achieve the performance targets, orbital configurations, and mix of measurement types that the NOAA Observing System Architecture Study found to be most valuable for the future.
Index Terms:
3314 Convective processes [ATMOSPHERIC PROCESSES]
3315 Data assimilation [ATMOSPHERIC PROCESSES]
3329 Mesoscale meteorology [ATMOSPHERIC PROCESSES]
3360 Remote sensing [ATMOSPHERIC PROCESSES]
Primary Convener: Joel McCorkel, NASA Goddard Space Flight Center, Greenbelt, MD, United States
Conveners: Karen M St. Germain, NOAA National Environmental Satellite, Data, and Information Service, Silver Spring, MD, United States, Daniel Lindsey, NESDIS STAR, RAMMB, Fort Collins, CO, United States and Pamela Clare Sullivan, NOAA, Greenbelt, MD, United States
Primary Liaison: Joel McCorkel, NASA, Greenbelt, MD, United States
See more of: Atmospheric Sciences
