Improving GPS Radio occultation stratospheric refractivity retrievals for climate benchmarking

[1] Global Positioning System radio occultation (GPS RO) measurements have been shown to be valuable for climate monitoring. The refractivity retrieved from these measurements are most accurate below 25 km altitude. At higher altitudes, the atmosphere becomes increasingly tenuous, and the measurement noise becomes comparable to or exceeds the bending signal. This necessitates some form of smoothing or modeling of the bending angles at high altitudes before Abel inversion. In this paper, we introduce a new approach to reduce the systematic bias that could result from such high-altitude initialization. We show that the climatological average of refractivity can be computed as the Abel inversion of the average bending angles with very little error in the stratosphere. By using the average bending angles, we can substantially reduce the random noise in the measurements and increase the altitude at which the initialization needs to be applied. We performed a simulation study which validated this approach and demonstrated the significant improvement in stratospheric refractivity retrieval. Applying the method to actual COSMIC data showed a similar level of difference between our method and the conventional method above 25 km. This implies that the improvement seen in the simulation could be achievable with the real data.

[1]  John A. Dykema,et al.  Testing climate models using GPS radio occultation: A sensitivity analysis , 2006 .

[2]  J. Schofield,et al.  Observing Earth's atmosphere with radio occultation measurements using the Global Positioning System , 1997 .

[3]  Christian Rocken,et al.  The COSMIC/FORMOSAT-3 Mission: Early Results , 2008 .

[4]  Stig Syndergaard,et al.  On the ionosphere calibration in GPS radio occultation measurements , 2000 .

[5]  W. Bertiger,et al.  A technical description of atmospheric sounding by GPS occultation , 2002 .

[6]  Anthony J. Mannucci,et al.  Sensitivity of Stratospheric Retrievals from Radio Occultations on Upper Boundary Conditions , 2006 .

[7]  Rolf König,et al.  Atmosphere sounding by GPS radio occultation: First results from CHAMP , 2001 .

[8]  Ying-Hwa Kuo,et al.  Comparison of GPS radio occultation soundings with radiosondes , 2005 .

[9]  Gottfried Kirchengast,et al.  Advancements of Global Navigation Satellite System radio occultation retrieval in the upper stratosphere for optimal climate monitoring utility , 2004 .

[10]  Markus J. Rieder,et al.  Error analysis and characterization of atmospheric profiles retrieved from GNSS occultation data , 2001 .

[11]  X. Zou,et al.  Analysis and validation of GPS/MET data in the neutral atmosphere , 1997 .

[12]  M. Lohmann,et al.  Application of dynamical error estimation for statistical optimization of radio occultation bending angles , 2005 .

[13]  D. Drob,et al.  Nrlmsise-00 Empirical Model of the Atmosphere: Statistical Comparisons and Scientific Issues , 2002 .

[14]  Gottfried Kirchengast,et al.  Retrieval of temperature profiles from CHAMP for climate monitoring: intercomparison with Envisat MIPAS and GOMOS and different atmospheric analyses , 2007 .

[15]  Ying-Hwa Kuo,et al.  Estimating the uncertainty of using GPS radio occultation data for climate monitoring: Intercomparison of CHAMP refractivity climate records from 2002 to 2006 from different data centers , 2009 .

[16]  S. B. Healy,et al.  Smoothing radio occultation bending angles above 40 km , 2001 .

[17]  C. Ao,et al.  Sensitivity of GPS occultation to the stratopause height , 2007 .

[18]  Gottfried Kirchengast,et al.  Error analysis for GNSS radio occultation data based on ensembles of profiles from end‐to‐end simulations , 2005 .