Data · dataset · 2026
Impact of 837 GPS/MET bending angle profiles on assimilation and forecasts for the period June 20 - 30, 1995
Listed in National Center for Atmospheric Research
With a ray-tracing procedure and variational data assimilation techniques, it is now possible to make direct use of radio occultation bending angles, rather than their derived temperature and moisture retrievals, in atmospheric data analysis and assimilation.
Description
This paper describes results obtained from including more than 800 GPS/MET bending angle profiles, available over an 11-day period, 20 - 30 June 1995, into the National Centers for Environmental Prediction spectral statistical interpolation analyses.
The methodology for assimilating the bending angles (including an impact parameter offset correction) is briefly summarized. Verified with 56 collocated radiosonde profiles, the assimilation of only GPS/MET bending angles improves the temperature and specific humidity analysis above 850 mbar. Even though the number of GPS/MET soundings is still far less than conventional data and operational satellite soundings, our results from two continuous 11-day data assimilation cycles demonstrate a closer fit of both GPS/MET and conventional observations to the analyses between 850 and 200 hPa when the bending angles are incorporated.
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Including the bending angles also results in a small but consistent improvement in the short-range (6 hours) and medium-range (1 - 5 days) forecast skills, especially in the Southern Hemisphere.
Links
Get the data
- Publisher page n2t.org/ark:/85065/d7hq4173 ↗
documentation · download · from data ucar edu
Where it is published
- data.ucar.edu /dataset/impact-of-837-gps-met-bending-angle-profiles-on-assimi… ↗
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=ee7592c7-84ed-4dc8-9562-84ae0f461… ↗
metadata API · from data ucar edu
Topics
- From keywords
- Earth & Environmental Science · Ocean & Atmospheric Science
- Inferred from text
- Geothermics and radiometrics 76%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| National Center for Atmospheric Research | ee7592c7-84ed-4dc8-9562-84ae0f4619a9 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:field:370605 | enrichment · data ucar edu | taxonomy-embedding@1.1.0 | title+keywords+description (76%) |
| 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 | |
| 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 |