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On the accuracy gain of electromagnetic wave delay predictions derived by the digital filter initialization technique

Ulmer, Franz-Georg (2016) On the accuracy gain of electromagnetic wave delay predictions derived by the digital filter initialization technique. Journal of Applied Remote Sensing, 10 (1), 016007-1-016007-7. Society of Photo-optical Instrumentation Engineers (SPIE). doi: 10.1117/1.JRS.10.016007. ISSN 1931-3195.

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Official URL: http://caps.luminad.com:8080/stockage/stock/LDL-SPIE-JARS-15784/JARS-15784_online.pdf


Atmosphere causes delay distortions in synthetic aperture radar images. Numerical weather prediction models, which compute the forecast stepwise, are beneficial in correcting this distortion. After initialization, the model needs time to reach a balanced state, such that first prediction steps contain errors. The imbalance causes false predicted precipitation, which then affects the water vapor distribution. Correspondingly, the predicted zenith path delay (ZPD), which depends on this distribution, is affected by the initial imbalances. The digital filtering initialization (DFI) technique reduces these imbalances and the ZPD prediction disturbances, respectively. The objective of this paper is the accuracy gain for ZPD predictions, which is achieved by this technique. For the accuracy gain investigation, predicted ZPD time series of the weather research and forecasting (WRF) model with and without DFI are compared against Global Navigation Satellite System (GNSS)-derived time series from 233 GNSS stations mainly located in Germany. Three conclusions are found. First, the experiment confirms that the DFI technique improves the precipitation forecast. Second, the corresponding accuracy gain, i.e., the bias of ZPD predictions, improves by about 13%. Third, the accuracy gain is only valid for the first 4 h of the prediction.

Item URL in elib:https://elib.dlr.de/102820/
Document Type:Article
Title:On the accuracy gain of electromagnetic wave delay predictions derived by the digital filter initialization technique
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Ulmer, Franz-Georgfranz-georg.ulmer (at) dlr.deUNSPECIFIED
Date:2 February 2016
Journal or Publication Title:Journal of Applied Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:Yes
DOI :10.1117/1.JRS.10.016007
Page Range:016007-1-016007-7
EditorsEmailEditor's ORCID iD
Chang, Ni-BinUniversity of Central FloridaUNSPECIFIED
Publisher:Society of Photo-optical Instrumentation Engineers (SPIE)
Series Name:Remote Sensing Applications and Decision Support
Keywords:weather research and forecasting; numerical weather prediction; spin-up; zenith path delay; GNSS; digital filtering initialization.
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Bierkamp-Michalak, Bettina
Deposited On:03 Feb 2016 16:12
Last Modified:31 Jul 2019 20:00

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