Ionospheric correction and statistical optimization of radio occultation data

Горбунов, М. Е.

doi:10.1029/2000rs002370

Cited by 77 publications

(76 citation statements)

References 22 publications

(35 reference statements)

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“…-Perform "linearly combined" (LC) ionospheric correction (Vorob'ev and Krasil'nikova, 1994) and "statistically optimised" (OPT) ionospheric correction (Gorbunov, 2002). The latter requires a background bending angle profile, which is currently derived from the MSIS climatology (Hedin, 1991).…”

Section: Preprocessing Modulementioning

confidence: 99%

The Radio Occultation Processing Package, ROPP

et al. 2015

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Abstract. This paper describes the Radio Occultation Processing Package, ROPP, a product of the EUMETSAT Radio Occultation Meteorology Satellite Application Facility (ROM SAF) developed by a large number of scientists over many years. A brief review of the concepts, functionality and structure of ROPP is followed by more detailed descriptions of its key capabilities. Example results from a full chain of processing using some of the ROPP tools are presented. Some current and prospective uses of ROPP are given. Instructions on how to access the code and its supporting documentation are provided.

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Section: Preprocessing Modulementioning

confidence: 99%

The Radio Occultation Processing Package, ROPP

et al. 2015

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“…In processing RO observations, neutral atmospheric meteorological variables are retrieved from amplitude and phase measurements (Gorbunov and Lauritsen, 2004;Gorbunov et al, 2005;Gorbunov and Lauritsen, 2006), while the ionospheric contribution is removed by using the double-frequency linear combination at the same ray impact height (Vorob'ev and Krasil'nikova, 1994;Gorbunov, 2002b). The impressive success of the GPS/MET experiment stimulated further development of RO satellites and constellations, including CHAMP and COSMIC experiments.…”

Section: Introductionmentioning

confidence: 99%

Fluctuations of radio occultation signals in sounding the Earth's atmosphere

2018

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Abstract. We discuss the relationships that link the observed fluctuation spectra of the amplitude and phase of signals used for the radio occultation sounding of the Earth's atmosphere, with the spectra of atmospheric inhomogeneities. Our analysis employs the approximation of the phase screen and of weak fluctuations. We make our estimates for the following characteristic inhomogeneity types: (1) the isotropic Kolmogorov turbulence and (2) the anisotropic saturated internal gravity waves. We obtain the expressions for the variances of the amplitude and phase fluctuations of radio occultation signals as well as their estimates for the typical parameters of inhomogeneity models. From the GPS/MET observations, we evaluate the spectra of the amplitude and phase fluctuations in the altitude interval from 4 to 25 km in the middle and polar latitudes. As indicated by theoretical and experimental estimates, the main contribution into the radio signal fluctuations comes from the internal gravity waves. The influence of the Kolmogorov turbulence is negligible. We derive simple relationships that link the parameters of internal gravity waves and the statistical characteristics of the radio signal fluctuations. These results may serve as the basis for the global monitoring of the wave activity in the stratosphere and upper troposphere.

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“…Possible mechanisms responsible for the negative bias were discussed by Sokolovskiy et al (2010) and Gorbunov et al (2010). (Gorbunov, 2002a) is referred to as the initialization. In particular, in this study we were using bending angle profiles computed from the MSIS climatology and subjected to two-parameter fitting (Lohmann, 2007).…”

Section: The Data Processingmentioning

confidence: 99%

Processing of GRAS/METOP radio occultation data recorded in closed-loop and raw-sampling modes

et al. 2011

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Abstract. Instrument GRAS (Global Navigation Satellite System Receiver for Atmospheric Sounding) on-board of the Metop-A satellite was activated on 27 October 2006. Currently, Metop-A is a fully operational satellite with GRAS providing from 650-700 occultations per day. We describe our processing of GRAS data based on the modification of our OCC software, which was modified to become capable of reading and processing GRAS data. We perform a statistical comparison of bending angles and refractivities derived from GRAS data with those derived from ECMWF analyses. We conclude that GRAS data have error characteristics close to those of COSMIC data. In the height range 10-30 km, the systematic refractivity difference GRAS-ECMWF is of the order of 0.1-0.2 %, and the standard deviation is 0.3-0.6 %. In the lower troposphere GRAS refractivity and bending angle indicate a negative bias, which reaches its maximum value in the tropics. In particular the retrieved refractivity is biased by up to 2.5 %. The negative bias pattern is similar to that found in the statistical validation of COSMIC data. This makes it probable that the bias should not be attributed to the instrument design or hardware.

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Ionospheric correction and statistical optimization of radio occultation data

Cited by 77 publications

References 22 publications

The Radio Occultation Processing Package, ROPP

The Radio Occultation Processing Package, ROPP

Fluctuations of radio occultation signals in sounding the Earth's atmosphere

Processing of GRAS/METOP radio occultation data recorded in closed-loop and raw-sampling modes

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