English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

. In this paper, we describe the inversion algorithm for retrievals of highvertical resolution temperature profiles (HRTPs) using bichromatic stellarscintillation measurements in the occultation geometry. This retrievalalgorithm has been improved with respect to nominal ESA processing andapplied to the measurements by Global Ozone Monitoring by Occultation ofStars (GOMOS) operated on board Envisat in 2002–2012. The retrieval methodexploits the chromatic refraction in the Earth's atmosphere. Thebichromatic scintillations allow the determination of the refractive angle,which is proportional to the time delay between the photometer signals. Thepaper discusses the basic principle and detailed inversion algorithm forreconstruction of high-resolution density, pressure and temperature profilesin the stratosphere from scintillation measurements. The HRTPs areretrieved with a very good vertical resolution of ∼200  m andhigh precision (random uncertainty) of ∼1 –3 K for altitudesof 15–32 km and with a global coverage. The best accuracy is achieved forin-orbital-plane occultations, and the precision weakly depends on starbrightness. The whole GOMOS dataset has been processed with the improvedHRTP inversion algorithm using the FMI's scientific processor; and thedataset (HRTP FSP v1) is in open access. The validation of small-scale fluctuations in the retrieved HRTPs isperformed via comparison of vertical wavenumber spectra of temperaturefluctuations in HRTPs and in collocated radiosonde data. We found that thespectral features of temperature fluctuations are very similar in HRTPs andcollocated radiosonde temperature profiles. HRTPs can be assimilated into atmospheric models, used in studies ofstratospheric clouds and used for the analysis of internal gravity waves' activity. As an example of geophysical applications, gravity wave potentialenergy has been estimated using the HRTP dataset. The obtainedspatiotemporal distributions of gravity wave energy are in good agreementwith the previous analyses using other measurements.

High-resolution temperature profiles retrieved from bichromatic stellar scintillation measurements by GOMOS/Envisat