Data · dataset · 2026
The impact of temperature vertical structure on trajectory modeling of stratospheric water vapor
Listed in National Center for Atmospheric Research
Lagrangian trajectories driven by reanalysis meteorological fields are frequently used to study water vapor (HâO) in the stratosphere, in which the tropical cold-point temperatures regulate the amount of HâO entering the stratosphere.
Description
Therefore, the accuracy of temperatures in the tropical tropopause layer (TTL) is of great importance for understanding stratospheric HâO abundances. Currently, most reanalyses, such as the NASA MERRA (Modern Era Retrospective â analysis for Research and Applications), only provide temperatures with ~ 1.2 km vertical resolution in the TTL, which has been argued to miss finer vertical structure in the tropopause and therefore introduce uncertainties in our understanding of stratospheric HâO. In this paper, we quantify this uncertainty by comparing the Lagrangian trajectory prediction of HâO using MERRA temperatures on standard model levels (traj.MER-T) to those using GPS temperatures at finer vertical resolution (traj.GPS-T), and those using adjusted MERRA temperatures with finer vertical structures induced by waves (traj.MER-Twave).
It turns out that by using temperatures with finer vertical structure in the tropopause, the trajectory model more realistically simulates the dehydration of air entering the stratosphere. But the effect on HâO abundances is relatively minor: compared with traj.MER-T, traj.GPS-T tends to dry air by ~ 0.1 ppmv, while traj.MER-Twave tends to dry air by 0.2-0.3 ppmv. Despite these differences in absolute values of predicted HâO and vertical dehydration patterns, there is virtually no difference in the interannual variability in different runs.
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Overall, we find that a tropopause temperature with finer vertical structure has limited impact on predicted stratospheric HâO.
Links
Get the data
- Publisher page n2t.org/ark:/85065/d79c6zmn ↗
documentation · download · from data ucar edu
Where it is published
- data.ucar.edu /dataset/the-impact-of-temperature-vertical-structure-on-trajec… ↗
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=3d354267-52f4-40f3-8fb9-264dfa111… ↗
metadata API · from data ucar edu
Topics
- From keywords
- Earth & Environmental Science · Ocean & Atmospheric Science
- Inferred from text
- Atmospheric dynamics 76%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| National Center for Atmospheric Research | 3d354267-52f4-40f3-8fb9-264dfa111230 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:field:370105 | 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 |