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Abstract Review
| Corresponding Author |
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| Authors |
| Name | | Affiliation |
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George Y. Jumper |
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AFRL / VSBYA, 29 Randolph Rd, Hanscom AFB, MA 01731-3010
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Jean Vernin |
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L.U.A.N., UMR 6525
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Gerard T. Fairley |
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Atmospheric and Environmental Research, Inc. |
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| Abstract |
| Session | | 3 (Approaches for modeling atmospheric optical turbulence.) |
| Title | | 'Modeling and Forecasting Optical Turbulence with DEEST' |
| Abstract | | Seeing can be modeled and forecast with DEEST, the Directed Energy Environmental Simulation Tool. DEEST quantifies optical turbulence impacts along user-defined paths (e.g. from a telescope to the top of the atmosphere) for the refractive index structure constant, Cn2, and Cn2 derived values. The DEEST GUI can present results in a number of ways, for instance it can create horizontal cross-sections for vertically integrated values derived from Cn2 (e.g. spherical Rytov, coherence length, isoplanatic angle and scintillation) and vertical cross sections and horizontal polar plots for spherical Rytov values. The surface layer, boundary layer and free atmosphere are represented with one or more Cn2 models. DEEST combines these models into a consistent model atmosphere and is currently driven by widely available numerical weather prediction data. Flexibility was paramount in DEEST programming so DEEST can easily install other Cn2 models (if need be) or to adapt to input from alternate mesoscale models. DEEST has processed weather model data to determine an opaque cloud representation. DEEST validation includes Generalized SCIDAR (GS) and balloon thermosonde data. GS, lidar and other types of data can be used to adjust DEEST models.
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