Data · dataset · 2026
Result of Assimilating Ground-Based MLT Winds into WACCM
Listed in National Center for Atmospheric Research
Description
This dataset contains the outputs from assimilating MLT wind observations from ground-based Super Dual Auroral Radar Network (SuperDARN) and meteor radar networks into the Whole Atmosphere Community Climate Model (WACCM) using the Ensemble Adjustment Kalman Filter (EAKF) within the Data Assimilation Research Testbed (DART). Two Observing System Simulation Experiments (OSSEs) were conducted for the 2018/2019 Northern Hemisphere winter.
In the first OSSE, Experiment 09, synthetic observations of lower atmospheric state variables and SABER and MLS neutral temperatures are assimilated. In the second OSSE, Experiment 10, additional synthetic ground-based MLT wind measurements were assimilated to assess their added value. An older version of the Experiment 08 has been deprecated.
Read the rest (1 more)
If access to Experiment 08 is needed please contact GDEX team. The data includes the hourly output of the ensemble mean of prior neutral temperature, neutral zonal wind, and neutral meridional wind as well as the synthetic observation files.
Links
Get the data
- Resource Homepage doi.org/10.5065/zhn4-bc51 ↗
download · DOI / persistent id · from data ucar edu
Where it is published
- data.ucar.edu /dataset/result-of-assimilating-ground-based-mlt-winds-into-wac… ↗
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=523fb648-8e11-4073-9583-b8661845b… ↗
metadata API · from data ucar edu
Topics
- From keywords
- Earth & Environmental Science · Ocean & Atmospheric Science
- Inferred from text
- Climate model simulation 65% · Simulation 75%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| National Center for Atmospheric Research | 523fb648-8e11-4073-9583-b8661845b2a1 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| 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[method].local:method:climate-model | enrichment · data ucar edu | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[method].local:method:simulation | enrichment · data ucar edu | keyword-concept-rules@1.0.0 | title+description (75%) |
| 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 |