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AFIT Gridded Atmospheric Dataset Optimization Fellowship
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- The Air Force Institute of Technology is offering a doctoral level fellowship at Wright-Patterson Air Force Base, Ohio.
- As an Oak Ridge Institute for Science and Education (ORISE) participant, you will join a community of scientists and researchers in an effort to optimize a gridded, atmospheric-reanalysis-based dataset for use in radiative transfer modeling and remote sensing applications.
- Prior findings suggest that a skill-weighted ensemble mean from multiple reanalysis datasets outperforms a single best reanalysis dataset.
- Trade-offs between accuracy and computational efficiency will be considered.
- Possible sources of climatological cloud data include the U.S. Air Force’s World-Wide Merged Cloud Analysis (WWMCA), while possible climatological aerosol data may consist of the Coupled Large-scale Aerosol Simulator for Studies in Climate (CLASSIC) and/or the Flow-Following Finite-Volume Icosahedral Model Chemistry (FIM-Chem) product.
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