Paper
25 January 1987 4-D Techniques For Evaluation Of Atmospheric Model Forecasts
David Santek, Lance Leslie, Brian Goodman, George Diak, Geary Callan
Author Affiliations +
Proceedings Volume 0846, Digital Image Processing and Visual Communications Technologies in Meteorology; (1987) https://doi.org/10.1117/12.942648
Event: Cambridge Symposium on Optics in Medicine and Visual Image Processing, 1987, San Diego, CA, United States
Abstract
Evaluating model performance is difficult in light of the amount of data which is output that is to be compared to an analysis for verification. Examining 2-D plots of many different parameters at several levels is tedious. This information must then be mentally integrated in an attempt to understand where problems may exist. The use of 4-D displays can greatly aid in evaluations by presenting the output of the model as a volume instead of 2-D slices. A capability for 4-D displays of meteorological data is being developed at the Space Science and Engineering Center. The Man-computer Interactive Data Access System (McIDAS) is used for all aspects of the analysis: this includes acquiring data, running the model, storing the output and displaying the results. A version of the Australian Regional Analysis and Forecast Modules were applied to the eastern portion of the USA and adjacent Atlantic Ocean. This assimilation system is being used to analyze intensive observing periods during the GALE (Genesis of Atlantic Lows Experiment) field experiment.
© (1987) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David Santek, Lance Leslie, Brian Goodman, George Diak, and Geary Callan "4-D Techniques For Evaluation Of Atmospheric Model Forecasts", Proc. SPIE 0846, Digital Image Processing and Visual Communications Technologies in Meteorology, (25 January 1987); https://doi.org/10.1117/12.942648
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Cited by 6 scholarly publications.
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KEYWORDS
Atmospheric modeling

Data modeling

3D modeling

Meteorology

Solid modeling

Motion models

Data centers

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