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BibEntryCargo > Journal: Meteorological Applications & Pages : 257–280 or None

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Comparison of rainfall microphysics characteristics derived by numerical weather prediction modelling and dual‐frequency precipitation radar (1) · Comparison of the BMA and EMOS statistical methods for probabilistic quantitative precipitation forecasting (1) · Comprehensive physics testing and adaptive weather research and forecasting physics for day‐ahead solar forecasting (1) · Diagnostic evaluation of extreme winter rainfall events over the Arabian Peninsula using high‐resolution weather research and forecasting simulations (1) · Fog probabilistic forecasting using an ensemble prediction system at six airports in Iran for 10 fog events (1) · Impact of ocean mixed‐layer depth initialization on the simulation of tropical cyclones over the Bay of Bengal using the WRF‐ARW model (1) · Impact of radar data assimilation on a squall line over the Yangtze–Huaihe River Basin with a radar reflectivity operator accounting for ice‐phase hydrometeors (1) · Improvement of the 24 hr forecast of surface UV radiation using an ensemble approach (1) · Influence of tilting effect on charge structure and lightning flash density in two different convective environments (1) · Intercomparison of atmospheric forcing datasets and two PBL schemes for precipitation modelling over a coastal valley in northern British Columbia, Canada (1) · Numerical simulations of upslope fog observed at Beppu Bay in Oita Prefecture, Japan (1) · Observed and model‐simulated thermodynamic processes associated with urban heavy rainfall events over Bangalore, India (1) · Prediction of landfalling Bay of Bengal cyclones during 2013 using the high resolution Weather Research and Forecasting model (1) · Sensitivity of a weather research and forecasting model to downscaling schemes in ensemble rainfall estimation (1) · Simulation of the atmospheric parameters during passage of a tropical storm over the South China Sea: a comparison with MetOcean buoy and ERA‐Interim data (1) · Uncertainty reduction in quantitative precipitation prediction by tuning of Kain–Fritch scheme input parameters in the WRF model using the simulated annealing optimization method (1) · WRF prediction of an atmospheric river‐related precipitation event: Sensitivity to cumulus parameterization schemes (1) · WRF wind field assessment under multiple forcings using spatialized aircraft data (1)
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