What is it about?
A new method for driving a One-Dimensional Stratiform Cold (1DSC) cloud model with Weather Research and Forecasting (WRF) model outputs was developed by conducting numerical experiments for a typical large-scale stratiform rainfall event that took place on 4–5 July 2004 in Changchun, China. Sensitivity test results suggested that, with hydrometeor profiles extracted from the WRF outputs as the initial input, and with continuous updating of soundings and vertical velocities (including downdraft) derived from the WRF model, the new WRF-driven 1DSC modeling system (WRF-1DSC) was able to successfully reproduce both the generation and dissipation processes of the precipitation event.
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Why is it important?
Our research opens a novel and important approach to developing an ensemble-based rain enhancement prediction and operation system under a probabilistic framework concept.
Perspectives
1D cloud-seeding models do indeed have the potential to predict realistic precipitation patterns when properly driven by accurate atmospheric profiles derived from a regional short range forecasting system.
Adv.Atmos.Sci. Journal
Institute of Atmospheric sciences
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This page is a summary of: A methodological study on using weather research and forecasting (WRF) model outputs to drive a one-dimensional cloud model, Advances in Atmospheric Sciences, December 2013, Springer Science + Business Media,
DOI: 10.1007/s00376-013-2257-2.
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