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Seminar on Nature of Satellite Retrievals & Data Assimilation in NOAA’s Rapid Refresh Systems
The Global Systems Laboratory (GSL) is one of ten NOAA Research Laboratories and is located in Boulder, Colorado. Our research improves environmental prediction models, develops state-of-the-science decision support tools, visualization systems, and uses high-performance computing technology to support a Weather-Ready Nation.
GSL strives to advance its workforce scientifically, technically, and professionally. We are also committed to increased diversity, equity, inclusion and accessibility as well as a strong foundation for career growth.
Dr. Dave Turner, GSL Senior Scientist
Ill-posed Nature of Satellite Retrievals
For most remote sensors, what we observe is not what we desire. For example, we observe the spectral radiance, but what we really desire are thermodynamic profiles. Retrieval algorithms are used to convert what we observe into what we desire, but frequently additional information needs to be included in the process to constrain the solution. This seminar provides an overview of retrievals, demonstrating the iterative approach often used, the ill-posed nature of the problem, how additional observations can improve the solution, and more.
Dr. Amanda Back, GSL Data Assimilation Scientist
Data Assimilation in NOAA’s Rapid Refresh Systems
We describe the problem of initializing weather forecast systems from sparse observations and lay out the theory behind some popular solutions: variational, ensemble, and hybrid data assimilation. Examples from NOAA’s storm scale weather analysis and prediction systems, the operational High Resolution Rapid Refresh and next-generation Rapid Refresh Forecast System, are illustrated.
Date: October 29, 2024
Time: 12:30pm
Location: Steinman Exhibit Room (T-124), Grove School of Engineering
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