Abstract

Abstract. The radio occultation (RO) technique using signals from the Global Navigation Satellite System (GNSS), in particular from the Global Positioning System (GPS) so far, is currently widely used to observe the atmosphere for applications such as numerical weather prediction and global climate monitoring. The ionosphere is a major error source in RO measurements at stratospheric altitudes, and a linear ionospheric correction of dual-frequency RO bending angles is commonly used to remove the first-order ionospheric effect. However, the residual ionospheric error (RIE) can still be significant so that it needs to be further mitigated for high-accuracy applications, especially above about 30 km altitude where the RIE is most relevant compared to the magnitude of the neutral atmospheric bending angle. Quantification and careful analyses for better understanding of the RIE is therefore important for enabling benchmark-quality stratospheric RO retrievals. Here we present such an analysis of bending angle RIEs covering the stratosphere and mesosphere, using quasi-realistic end-to-end simulations for a full-day ensemble of RO events. Based on the ensemble simulations we assessed the variation of bending angle RIEs, both biases and standard deviations, with solar activity, latitudinal region and with or without the assumption of ionospheric spherical symmetry and co-existing observing system errors. We find that the bending angle RIE biases in the upper stratosphere and mesosphere, and in all latitudinal zones from low to high latitudes, have a clear negative tendency and a magnitude increasing with solar activity, which is in line with recent empirical studies based on real RO data although we find smaller bias magnitudes, deserving further study in the future. The maximum RIE biases are found at low latitudes during daytime, where they amount to within −0.03 to −0.05 μrad, the smallest at high latitudes (0 to −0.01 μrad; quiet space weather and winter conditions). Ionospheric spherical symmetry or asymmetries about the RO event location have only a minor influence on RIE biases. The RIE standard deviations are markedly increased both by ionospheric asymmetries and increasing solar activity and amount to about 0.3 to 0.7 μrad in the upper stratosphere and mesosphere. Taking also into account the realistic observation errors of a modern RO receiving system, amounting globally to about 0.4 μrad (unbiased; standard deviation), shows that the random RIEs are typically comparable to the total observing system error. The results help to inform future RIE mitigation schemes that will improve upon the use of the linear ionospheric correction of bending angles and also provide explicit uncertainty estimates.

Highlights

  • Detection of global climate change is a significant challenge in atmospheric sciences (Steiner et al, 2011) due to the extreme complexity and dynamics of the Earth’s atmospheric system (Zhang et al, 2011) and to the stringent climate monitoring principles such as reproducibility, homogeneity, longterm stability, high accuracy, high spatial and temporal resolution and global coverage

  • The focus of this study is to investigate the characteristics of bending angle residual ionospheric error (RIE) in the upper stratosphere and mesosphere (USMS) rather than the errors caused by the neutral atmosphere

  • To derive reliable bending angle RIEs, which are based on the dual-frequency linear combination of bending angles without the effects of the neutral atmosphere horizontal gradient and water vapor density ambiguity, the assumptions of local spherical symmetry and dry atmosphere were made in the simulation which are well justified for the focus heights of interest above 20 km

Read more

Summary

Introduction

Detection of global climate change is a significant challenge in atmospheric sciences (Steiner et al, 2011) due to the extreme complexity and dynamics of the Earth’s atmospheric system (Zhang et al, 2011) and to the stringent climate monitoring principles such as reproducibility, homogeneity, longterm stability, high accuracy, high spatial and temporal resolution and global coverage. Detailed analyses of GNSS RO errors have been conducted by many scientists (Kursinski et al, 1997; Rieder and Kirchengast, 2001; Steiner and Kirchengast, 2005; ScherllinPirscher et al, 2011a, b) These errors mainly include the satellites’ orbital error, clock biases, systematic hardware delay, antenna phase center variation, cycle slips, ionospheric refraction, atmospheric multipath and scintillations. These studies demonstrated that GNSS RO observations have the best quality in the upper troposphere and lower stratosphere (UTLS, defined as the 5–35 km altitude range).

Bending angle RIEs and simulation method
Ionospheric correction and bending angle RIE
RO end-to-end simulation tool
Atmospheric and ionospheric modeling
Ray tracing method
Simulation of realistic observations
Computation of bending angle RIEs
Ensemble simulation scheme
Simulation cases
Calculation of bending angle RIE statistics
Results and discussion
Ionospheric conditions along ray paths
Exceptional RO events
Ensemble simulation results
Bending angle RIEs without observing system errors
Realistic bending angle RIEs including observing system errors
Overall discussion
Summary and conclusions
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call