A two-step variational method for three-dimensional wind retrieval from single Doppler radar

Qiu, Chongjian; Shao, Aimei; Liu, S.; Xu, Qin

doi:10.1007/s00703-004-0093-8

Cited by 19 publications

(15 citation statements)

References 21 publications

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“…In this investigation we use a two-step variational method to retrieve the threedimensional upper-air velocity fields from the Hong Kong ground-based Doppler weather radar. This method was developed by Qiu et al (2006) and has been applied in the analysis of wind fields of a heavy rain system (Yang and Qiu 2006) and the depiction of complex airflow based on LIDAR data (Chan and Shao 2008). The underlying principle of this method is to determine three-dimensional wind velocities (u; v; w) such that the radial velocity calculated from the retrieved winds fits most the measured radial velocity from the ground-based Doppler weather radar.…”

Section: Wind Retrieval From Doppler Weather Radar Datamentioning

confidence: 98%

“…Two physical constraints to be used are the continuity equation and the conservation equation for reflectivity. Qiu et al (2006) give detailed description of these two constraints. Constraints such as the continuity equation are commonly used in oceanography when calculating the upward-directed current velocity from the current velocity field at the sea surface.…”

Section: Wind Retrieval From Doppler Weather Radar Datamentioning

confidence: 99%

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Study of wind fields associated with subtropical squall lines using Envisat Synthetic Aperture Radar images and ground-based weather radar data

Chan

Cheng

Alpers

2010

International Journal of Remote Sensing

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2010) Study of wind fields associated with subtropical squall lines using Envisat Synthetic Aperture Radar images and groundbased weather radar dataSquall lines are lines of organized convective rain cells accompanied by wind shear and high wind gusts. They are usually studied by using ground-based weather radar. In this paper, three squall line events, which occurred over the South China Sea in 2006 and 2007, are investigated by using simultaneously acquired Synthetic Aperture Radar (SAR) images of the European Envisat satellite and ground-based Doppler weather radar data of the Hong Kong Observatory. Both radars yield wind fields: the SAR near-sea surface wind fields and the Doppler radar upper-air wind fields. Both wind fields are of high spatial resolution (sub-kilometre scale), making them useful to study fine-scale features in squall lines. Three squall lines events, each having distinct features, are presented. They show exemplarily the advantage of synergistic use of both SAR and ground-based weather radar in the study of squall lines.

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Section: Wind Retrieval From Doppler Weather Radar Datamentioning

confidence: 98%

Section: Wind Retrieval From Doppler Weather Radar Datamentioning

confidence: 99%

Study of wind fields associated with subtropical squall lines using Envisat Synthetic Aperture Radar images and ground-based weather radar data

Chan

Cheng

Alpers

2010

International Journal of Remote Sensing

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“…The two-step variational method for 3D wind retrieval (Qiu et al 2006) was used in the retrieval. As an example, Fig.…”

Section: High Resolution 3d Wind Fields Retrieved Frommentioning

confidence: 99%

South China Heavy Rainfall Experiments (SCHeREX)

Zhang

Liu

et al. 2011

Journal of the Meteorological Society of Japan

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The South China Heavy Rainfall Experiments (SCHeREX) was staged during 2008 and 2009 in the southern part of China by the Chinese Academy of Meteorological Sciences under the support of the Chinese Ministry of Science and Technology and China Meteorological Administration. SCHeREX aims at obtaining abundant observational datasets at the meso-b scale, better understanding of the structure and evolution of heavy precipitation systems in south China, exploring establishment of an operational platform for heavy rainfall monitoring and prediction, and improving the ability of heavy rainfall monitoring and prediction. Four zones were selected in SCHeREX, namely, the southern China, the middle reaches of the Yangtze River valley, the Huai River valley, and the lower reaches of the Yangtze River valley. The observation phases were May 1-June 10 in the southern China zone and June 10-July 20 in the other three zones.The e¤orts have led to the establishment of the meso-scale observing networks with enhanced capacity to observe precipitation systems at the meso-b scale level. The collected data have been utilized in meso-scale reanalysis not only to reveal the fine structures of the precipitation systems but also to provide better initial conditions for meso-scale numerical models to make short-term forecasts. Assimilation of the dropsonde data has improved the analysis of the locations and intensities of typhoons Goni and Morakot. With the real-time field data being part of the forecast system, the experiments have allowed more e‰cient interactions between the observing system and the forecast system and thus improve the performance of meso-scale heavy rainfall forecasts.

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“…Improvements to forecasts for these lead times are now being sought through the assimilation into mesoscale models of surface rain rates derived from radar reflectivity using latent heat nudging methods (Macpherson et al, 1996) and variational techniques in which model 'reflectivity' is compared with actual measured reflectivity (Sun and Crook, 2001). More recently, Doppler radar radial winds have also been assimilated into NWP models as vertical wind profiles derived from Velocity Azimuth Display (VAD) analysis (Benjamin et al, 2004) and using variational techniques; see Crook (1997, 1998), Crook and Sun (2004), Lindskog et al(2004), Gao (1999Gao ( , 2006 and Qiu et al (2006).…”

Section: Introductionmentioning

confidence: 99%

Assimilation of Doppler radial winds into a 3D‐Var system: Errors and impact of radial velocities on the variational analysis and model forecasts

Rihan

Collier

Ballard

et al. 2008

Quart J Royal Meteoro Soc

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A pre-processing approach to the assimilation of Doppler radar radial wind data into a high resolution Numerical Weather Prediction (NWP) model is described. We discuss the types of errors which might occur in radar radial winds. The construction of simulated high resolution radar data containing such errors is described. Examples of these data are presented and compared with actual radar data from the Chilbolton S-band radar located in central southern England. A new approach to specifying the radial velocity observation error is proposed based upon the radial gradient of the velocity along the pulse volume. The production of 'super-observations' for input to a 3D-Var assimilation system is discussed. Impact of the assimilation of Doppler velocities on the 3D-Var analysis and on the model forecasts, for two case-studies, are shown.

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A two-step variational method for three-dimensional wind retrieval from single Doppler radar

Cited by 19 publications

References 21 publications

Study of wind fields associated with subtropical squall lines using Envisat Synthetic Aperture Radar images and ground-based weather radar data

Study of wind fields associated with subtropical squall lines using Envisat Synthetic Aperture Radar images and ground-based weather radar data

South China Heavy Rainfall Experiments (SCHeREX)

Assimilation of Doppler radial winds into a 3D‐Var system: Errors and impact of radial velocities on the variational analysis and model forecasts

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