Data · dataset · 2026
Indirect assimilation of radar reflectivity with WRF 3D-Var and its impact on prediction of four summertime convective events
Listed in National Center for Atmospheric Research
An indirect radar reflectivity assimilation scheme has been developed within the Weather Research and Forecasting (WRF) model three-dimensional data assimilation system (WRF 3D-Var).
Description
This scheme, instead of assimilating radar reflectivity directly, assimilates retrieved rainwater and estimated in-cloud water vapor. An analysis is provided to show that the assimilation of the retrieved rainwater avoids the linearization error of the Z-qr (reflectivity-rainwater) equation.
A new observation operator is introduced to assimilate the estimated in-cloud water vapor. The performance of the scheme is demonstrated by assimilating reflectivity observations into the rapid update cycle (RUC) data assimilation and forecast system operating at Beijing Meteorology Bureau. Four heavy-rain-producing convective cases that occurred during summer 2009 in Beijing, China are studied using the newly developed system.
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Results show that on average the assimilation of reflectivity significantly improves the short-term precipitation forecast skill up to 7 hours. A diagnosis of the analysis fields of one case shows that the assimilation of reflectivity increases humidity, rainwater and convective available potential energy (CAPE) in the convective region. As a result, the analysis successfully promotes the developments of the convective system, and thus improves the subsequent prediction of the location and intensity of precipitation for this case.
Links
Get the data
- Publisher page n2t.org/ark:/85065/d761113g ↗
documentation · download · from data ucar edu
Where it is published
- data.ucar.edu /dataset/indirect-assimilation-of-radar-reflectivity-with-wrf-3… ↗
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=8d2a12bb-9135-4934-85a1-ed7fd233e… ↗
metadata API · from data ucar edu
Topics
- From keywords
- Earth & Environmental Science · Ocean & Atmospheric Science
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| National Center for Atmospheric Research | 8d2a12bb-9135-4934-85a1-ed7fd233ea29 | 11 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 | |
| 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 |