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2010 | OriginalPaper | Chapter

Parallelization and High Performance Computation for Accelerated CHAMP and GRACE Data Analysis

Author : Karl Hans Neumayer

Published in: System Earth via Geodetic-Geophysical Space Techniques

Publisher: Springer Berlin Heidelberg

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Abstract

The work package WP210 “parallelization and high performance computing” of the Geotechnologien II project was aimed at improving the overall performance of the Earth Parameter and Orbit System (EPOS) software package used in gravity field processing at the Helmholtz Centre Potsdam GFZ German Research Center for Geosciences, and to interconnect various tasks in an optimal way. The two aspects of this optimization are, on the one hand, to minimize processing time, and, on the other, to solve for as many parameters as possible. In this chapter, we will focus our attention to three important sub-problems. First we show how processing can be simplified and, therefore, accelerated via a more convenient treatment of sender and receiver clock parameters, as they emerge in GPS processing. Secondly, an improved block-parallel algorithm for the computation of normal equations from observation equations, as they occur in gravity field adjustment, is presented. Thirdly, we show how it is possible to combine the existing software into a processing chain that admits the treatment of satellite arcs of arbitrary length in a consistent manner.

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Literature
go back to reference Flechtner F, Dahle Ch, Neumayer KH, König R, Kusche J (2008) Towards GFZ EIGEN-GRACE06S Gravity Field Time Series, AGU2008 Fall Meeting, San Francisco. Flechtner F, Dahle Ch, Neumayer KH, König R, Kusche J (2008) Towards GFZ EIGEN-GRACE06S Gravity Field Time Series, AGU2008 Fall Meeting, San Francisco.
go back to reference Förste C, Schmidt R, Stubenvoll R, Flechtner F, Meyer U, König R, Neumayer H, Biancale R, Lemoine JM, Bruinsma S, et al. (2008) The GeoForschungsZentrum Potsdam/Groupe de Recherche de Geodesie Spatiale satellite-only and combined gravity field models: EIGEN-GL04S1 and EIGEN-GL04C. J. Geod. 82(6), 331–346.CrossRef Förste C, Schmidt R, Stubenvoll R, Flechtner F, Meyer U, König R, Neumayer H, Biancale R, Lemoine JM, Bruinsma S, et al. (2008) The GeoForschungsZentrum Potsdam/Groupe de Recherche de Geodesie Spatiale satellite-only and combined gravity field models: EIGEN-GL04S1 and EIGEN-GL04C. J. Geod. 82(6), 331–346.CrossRef
go back to reference Healy SB, Wickert J, Michalak G, Schmidt T, Beyerle G (2007) Combined forecast impact of GRACE-A and CHAMP GPS radio occultation bending angle profiles. Atmos. Sci. Lett. 8(2), 43–50.CrossRef Healy SB, Wickert J, Michalak G, Schmidt T, Beyerle G (2007) Combined forecast impact of GRACE-A and CHAMP GPS radio occultation bending angle profiles. Atmos. Sci. Lett. 8(2), 43–50.CrossRef
go back to reference König R, Michalak G, Neumayer KH, Zhu S (2006) Remarks on CHAMP orbit products. In: Flury J, Rummel R, Reigber Ch, Rothacher M, Boedecker G, Schreiber U (eds.), Observation of the Earth System from Space, Springer, Berlin Heidelberg, pp. 17–26.CrossRef König R, Michalak G, Neumayer KH, Zhu S (2006) Remarks on CHAMP orbit products. In: Flury J, Rummel R, Reigber Ch, Rothacher M, Boedecker G, Schreiber U (eds.), Observation of the Earth System from Space, Springer, Berlin Heidelberg, pp. 17–26.CrossRef
go back to reference König R, Zhu S, Reigber Ch, Neumayer KH, Meixner H, Galas R, Baustert G, Schwintzer P (2002) CHAMP rapid orbit determination of GPS atmospheric limb sounding. Adv. Space Res. 30(2), 289–293.CrossRef König R, Zhu S, Reigber Ch, Neumayer KH, Meixner H, Galas R, Baustert G, Schwintzer P (2002) CHAMP rapid orbit determination of GPS atmospheric limb sounding. Adv. Space Res. 30(2), 289–293.CrossRef
go back to reference Zhu S, Reigber Ch, König R (2004) Integrated adjustment of CHAMP, GRACE and GPS data. J. Geod. 78(1–2), 103–108. Zhu S, Reigber Ch, König R (2004) Integrated adjustment of CHAMP, GRACE and GPS data. J. Geod. 78(1–2), 103–108.
Metadata
Title
Parallelization and High Performance Computation for Accelerated CHAMP and GRACE Data Analysis
Author
Karl Hans Neumayer
Copyright Year
2010
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-10228-8_7

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