edu.ucar.opensky::articles:43405
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2025-12-24T17:51:02.534952
ISO 19115-2 Geographic Information - Metadata - Part 2:
Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
https://n2t.net/ark:/85065/d7xs60tg
Assimilating precipitation data via fullâhydrometeor scheme in WRF 4DâVar for convective precipitation forecast associated with the Northeast China cold vortex (NCCV)
2025-04-28T00:00:00Z
publication
https://n2t.net/ark:/85065/d7xs60tg
https://doi.org/10.1029/2024JD042427
Yang, S.
author
Li, D.
author
Duan, Y.
author
Chen, Y.
author
Liu, Zhiquan
author
Huang, X.
author
UCAR/NCAR - Library
publisher
The full‐hydrometeor four‐dimensional variational (4D‐Var) assimilation scheme in the Weather Research and Forecasting (WRF) model, based on the WRF single‐moment 6‐class microphysics scheme (WSM6), is utilized to assimilate precipitation data. The focus is on short‐term convective precipitation forecasts influenced by the Northeast China cold vortex (NCCV). Four assimilation experiments were designed to compare the warm rain scheme with the full‐hydrometeor scheme, as well as to examine the differences between assimilating hourly surface rain gauge data and multi‐source integrated precipitation products. Nine cases of intense convective precipitation related to NCCV were analyzed. The results demonstrate that the initial analysis of ice‐phase hydrometeors was satisfactory across the three experiments utilizing the full‐hydrometeor 4D‐Var assimilation scheme. The assimilation of precipitation data using the full‐hydrometeor scheme in WRF 4D‐Var effectively adjusted atmospheric thermodynamic properties and decreased model spin‐up time, leading to improved precipitation forecasts, especially for the 0–3 hr period. Furthermore, the assimilation of rain gauge data or multi‐source integrated precipitation data has been demonstrated to be an effective approach for enhancing the accuracy of weather forecasts.
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2016-01-01T00:00:00Z
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