Data · dataset · 2026
Effect of superrefraction on inversions of radio occultation signals in the lower troposphere
Listed in National Center for Atmospheric Research
Radio occultation remote sensing of the Earth's atmosphere by use of GPS encounters problems in the moist lower troposphere (planetary boundary layer).
Description
The negative errors in retrieved refractivity (bias) may not be explained by the horizontal inhomogeneity in refractivity. In part, these errors can be attributed to the use of signal tracking algorithms inappropriate for the complicated structure of radio occultation signals propagated through the moist troposphere.
However, another fraction of the negative bias in retrieved refractivity can be related to the superrefraction. In this study we introduce the problem and give an estimate of the negative refractivity errors in the moist planetary boundary layer, which in some cases can be as large as ~10%. We show that the magnitude of these errors significantly varies over oceanic areas.
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We validate the canonical transform method by use of the radio occultation signals simulated for complicated refractivity structures, including multiple superrefraction layers and small-scale irregularities. We find that this method does not introduce errors additional to those existing in geometric optics. Also, we discuss and estimate an additional error source when inverting occultation signals by radioholographic methods: insufficient extension of the acquired signal, which can contribute to about 1% error of the retrieved refractivity.
Links
Get the data
- Publisher page n2t.org/ark:/85065/d7r78ghx ↗
documentation · download · from data ucar edu
Where it is published
- data.ucar.edu /dataset/effect-of-superrefraction-on-inversions-of-radio-occul… ↗
National Center for Atmospheric Research dataset page
landing page · from data ucar edu
Catalogue records · 1
- CKAN API data.ucar.edu/api/3/action/package_show?id=e18d486d-aaf8-4d9b-ab84-4a95fe266… ↗
metadata API · from data ucar edu
Topics
- From keywords
- Earth & Environmental Science · Ocean & Atmospheric Science
- Inferred from text
- Atmospheric sciences 74% · Satellite remote sensing 65%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| National Center for Atmospheric Research | e18d486d-aaf8-4d9b-ab84-4a95fe2660ad | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:3701 | enrichment · data ucar edu | taxonomy-embedding@1.1.0 | title+keywords+description (74%) |
| concepts[field].local:field:earth-environmental | mapping · data ucar edu | connector:data_ucar_edu@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · data ucar edu | connector:data_ucar_edu@1.0.0 | |
| concepts[modality].local:modality:remote-sensing | enrichment · data ucar edu | keyword-concept-rules@1.0.0 | title+description (65%) |
| created_date | source · data ucar edu | connector:data_ucar_edu@1.0.0 | |
| description | source · data ucar edu | connector:data_ucar_edu@1.0.0 | /notes |
| publication_date | source · data ucar edu | connector:data_ucar_edu@1.0.0 | |
| title | source · data ucar edu | connector:data_ucar_edu@1.0.0 | /title |
| updated_date | source · data ucar edu | connector:data_ucar_edu@1.0.0 |