Abstract

Abstract. In this study, a new model was explored which corrects for higher order ionospheric residuals in Global Positioning System (GPS) radio occultation (RO) data. Recently, the theoretical basis of this new "residual ionospheric error model" has been outlined (Healy and Culverwell, 2015). The method was tested in simulations with a one-dimensional model ionosphere. The proposed new model for computing the residual ionospheric error is the product of two factors, one of which expresses its variation from profile to profile and from time to time in terms of measurable quantities (the L1 and L2 bending angles), while the other describes the weak variation with altitude. A simple integral expression for the residual error (Vorob’ev and Krasil’nikova, 1994) has been shown to be in excellent numerical agreement with the exact value, for a simple Chapman layer ionosphere. In this case, the "altitudinal" element of the residual error varies (decreases) by no more than about 25 % between ~10 and ~100 km for physically reasonable Chapman layer parameters. For other simple model ionospheres the integral can be evaluated exactly, and results are in reasonable agreement with those of an equivalent Chapman layer. In this follow-up study the overall objective was to explore the validity of the new residual ionospheric error model for more detailed simulations, based on modeling through a complex three-dimensional ionosphere. The simulation study was set up, simulating day and night GPS RO profiles for the period of a solar cycle with and without an ionosphere. The residual ionospheric error was studied, the new error model was tested, and temporal and spatial variations of the model were investigated. The model performed well in the simulation study, capturing the temporal variability of the ionospheric residual. Although it was not possible, due to high noise of the simulated bending-angle profiles at mid- to high latitudes, to perform a thorough latitudinal investigation of the performance of the model, first positive and encouraging results were found at low latitudes. Furthermore, first application tests of the model on the data showed a reduction in temperature level of the ionospheric residual at 40 km from about −2.2 to −0.2 K.

Highlights

  • The radio occultation (RO) technique gains information about the physical properties of a planetary atmosphere by detecting a change in a radio signal when it passes through this atmosphere

  • The model does not correct for the residual ionospheric error that arises from horizontal gradients of the ionosphere, or those errors that are caused by the Earth’s magnetic field

  • We suggest that the new model term (Eq 4) might be important for producing climatologies, if the (α1(a) − α2(a))2 factor captures the main temporal variability of the residual error

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Summary

Introduction

The radio occultation (RO) technique gains information about the physical properties of a planetary atmosphere by detecting a change in a radio signal when it passes through this atmosphere. The model does not correct for the residual ionospheric error that arises from horizontal gradients of the ionosphere, or those errors that are caused by the Earth’s magnetic field (see companion paper Healy and Culverwell, 2015) These errors could have an effect on individual profiles, but they should average out of the zonal monthly mean climatologies which are the focus of our study here. In this specific follow-up study the work of Healy and Culverwell is extended, by testing the new residual ionospheric error model for a more complex situation, using simulated GPS RO data FLi2gbuerneFd2ii.nggR.-ea2sni:gdluReaeldinsfifigedhruettnaimcleens(qibgulauhreet)d(adbnedlpudeeany)dteiamnnteod(nodtriaamnygeet()riimbgehnetdh(ianongrdaasnnigdgleee),d)setbpueedninedddeniotnnogtnharteinmegeiml(elpeafdctethapalnteidtnusddideeesn)a,tnadondnfonrtiilgamhtitt-euad(neldebdfaatnydhti0am◦ne. dL1 and side), and night and day time L1 and L2 bending angle difference squared dependent on time (right hand side), studied on three impact altitudes and for latitude band 0°

Initial study of the model
Testing the model
Findings
Discussion and conclusions
Full Text
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