Perspectives on Cloud Prediction, Postprocessing, and Verification for DoD Applications

Author:

Dolinar Erica K.1ORCID,Nachamkin Jason E.1

Affiliation:

1. U.S. Naval Research Laboratory, Marine Meteorology Division, Monterey, California

Publisher

American Meteorological Society

Reference8 articles.

1. The Model Evaluation Tools (MET): More than a decade of community-supported forecast verification;Brown, B.,2021

2. PyFLEXTRKR: A flexible feature tracking Python software for convective cloud analysis;Feng, Z.,2023

3. Evaluating the impact of planetary boundary layer, land surface model, and microphysics parameterization schemes on cold cloud objects in simulated GOES-16 brightness temperatures;Griffin, S. M.,2021

4. The impact of ice phase cloud parameterizations on tropical cyclone prediction;Jin, Y.,2014

5. Evaluation of fractional cloudiness parameterizations for use in a mesoscale model;Mocko, D. M.,1995

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