Fuqing Zhang

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Assimilation of Doppler radar data into cloud models is an important obstacle to routine numerical weather prediction for convective-scale motions; the difficulty lies in initializing fields of wind, temperature, moisture, and condensate given only observations of radial velocity and reflectivity from the radar. This paper investigates the potential of the(More)
In previous works of this series study, an ensemble Kalman filter (EnKF) has been demonstrated to be promising for mesoscale and regional scale data assimilation in increasingly realistic environments. Parts I and II examined the performance of the EnKF by assimilating simulated observations under both perfect-and imperfect-model assumptions. Part III(More)
This study explores the assimilation of Doppler radar observations for cloud-resolving hurricane analysis, initialization and prediction with an ensemble Kalman filter (EnKF). The case studied is Hurricane Humberto (2007), the first landfalling hurricane in the US since the end of the 2005 hurricane season and the most rapidly intensifying near-landfall(More)
Through observing system simulation experiments, this two-part study exploits the potential of using the ensemble Kalman filter (EnKF) for mesoscale and regional-scale data assimilation. Part I focuses on the performance of the EnKF under the perfect model assumption in which the truth simulation is produced with the same model and same initial(More)
The chlorophenol chemicals (CPs) are a major class of widely distributed and frequently occurring persistent environmental pollutants. Pentachlorophenol (PCP) has been proposed to be procarcinogen in rodents and in possibly human beings. Human beings also easily expose to other chlorophenol chemicals, including 4-chlorophenol (CP), 2,4-dichlorophenol (DCP),(More)
The performance of the ensemble Kalman filter (EnKF) in forced, dissipative flow under imperfectmodel conditions is investigated through simultaneous state and parameter estimation where the source of model error is the uncertainty in the model parameters. A two-dimensional, nonlinear, hydrostatic, nonrotating, and incompressible sea-breeze model is used(More)
Previous analysis of OklahomaCity (OKC), Oklahoma, temperature data indicated that urban heat islands (UHIs) frequently formed at night and the observed UHI intensity was variable (18–48C). The current study focuses on identifying meteorological phenomena that contributed to the variability of nocturnal UHI intensity in OKC during July 2003. Two episodes,(More)
[1] This study examines a hurricane prediction system that uses an ensemble Kalman filter (EnKF) to assimilate high‐ resolution airborne radar observations for convection‐ permitting hurricane initialization and forecasting. This system demonstrated very promising performance, especially on hurricane intensity forecasts, through experiments over all 61(More)
Rice seedlings were grown in hydroponic culture to determine the effects of external Zn and P supply on plant uptake of Cd in the presence or absence of iron plaque on the root surfaces. Iron plaque was induced by supplying 50 mg l−1 Fe2+ in the nutrient solution for 2 day. Then 43-day-old seedlings were exposed to 10 μmol l−1 Cd together with 10 μmol l−1(More)
Vortex dipoles provide a simple representation of localized atmospheric jets. Numerical simulations of a synoptic-scale dipole in surface potential temperature are considered in a rotating, stratified fluid with approximately uniform potential vorticity. Following an initial period of adjustment, the dipole propagates along a slightly curved trajectory at a(More)