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Journal of Applied Remote Sensing • Open Access

Spin-up time research on the weather research and forecasting model for atmospheric delay mitigations of electromagnetic waves
Author(s): Ulrich Balss; Franz-Georg Ulmer

Paper Abstract

Atmosphere causes distortions in the geometry and phases of synthetic aperture radar images denoted by the atmospheric phase screen (APS). Numerical weather models are beneficial in correcting these disturbances. After initialization, the models need time to derive a physical valid state. This is called the spin-up time, and it affects delay predictions. The positive impact of a 12-h spin-up time on delay mitigation has not yet been reported and is the objective of this paper. Hence, four independent experiments are considered, revealing the best accuracy in the case of 12-h predictions and showing the best consistency of spatial frequencies. First, global positioning system zenith path delay (ZPD) series are compared with model-predicted ZPD series, which reports a 28% reduction of the root mean squared error. Second, the absolute ranging technique as an application of the delay prediction reports a 21% standard deviation decrease of position estimates. Third, a comparison of spatial frequencies between APS predictions and interferograms shows a closer consistency using a 12-h rather than a 6-h spin-up time. Fourth, APS mitigation in interferograms as an application of APS prediction is twice as good with respect to the 12-h spin-up time as with the 6-h spin-up time.

Paper Details

Date Published: 18 March 2016
PDF: 12 pages
J. Appl. Remote Sens. 10(1) 016027 doi: 10.1117/1.JRS.10.016027
Published in: Journal of Applied Remote Sensing Volume 10, Issue 1
Show Author Affiliations
Ulrich Balss, Deutsches Zentrum für Luft- und Raumfahrt e.V. (Germany)
Franz-Georg Ulmer, Deutsches Zentrum für Luft- und Raumfahrt e.V. (Germany)


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