Key Laboratory of Climate Resource Development and Disaster Prevention in Gansu Province, Center for Weather Forecasting and Climate Prediction of Lanzhou University, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
Institute of Arid Meteorology, China Meteorological Administration, Lanzhou 730020, China
Key Laboratory of Climate Resource Development and Disaster Prevention in Gansu Province, Center for Weather Forecasting and Climate Prediction of Lanzhou University, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
Jian Sun
China Meteorological Administration Earth System Modeling and Prediction Centre, Beijing 100081, China
Yuan Jiang
China Meteorological Administration Earth System Modeling and Prediction Centre, Beijing 100081, China
Ruhui Gan
Key Laboratory of Climate Resource Development and Disaster Prevention in Gansu Province, Center for Weather Forecasting and Climate Prediction of Lanzhou University, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
Qian Xie
Key Laboratory of Climate Resource Development and Disaster Prevention in Gansu Province, Center for Weather Forecasting and Climate Prediction of Lanzhou University, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
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862
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Total article views: 1,707 (including HTML, PDF, and XML)
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Total article views: 1,110 (including HTML, PDF, and XML)
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Total article views: 597 (including HTML, PDF, and XML)
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Vertical atmospheric motions play a vital role in convective-scale precipitation forecasts by connecting atmospheric dynamics with cloud development. A three-dimensional variational vertical velocity assimilation scheme is developed within the high-resolution CMA-MESO model, utilizing the adiabatic Richardson equation as the observation operator. A 10 d continuous run and an individual case study demonstrate improved forecasts, confirming the scheme's effectiveness.
Vertical atmospheric motions play a vital role in convective-scale precipitation forecasts by...