Nowcasting for urban areas by variational assimilation of Doppler radar and lidar radial wind data

Mei Xu; N. Andrew Crook; Juanzhen Sun; Thomas Warner; Scott Swerdlin

Nowcasting for urban areas by variational assimilation of Doppler radar and lidar radial wind data

Mei Xu
, N. Andrew Crook
, Juanzhen Sun
, Thomas Warner
, Scott Swerdlin

National Center for Atmospheric Research

Research output: Contribution to journal › Conference article › peer-review

Abstract

The uses of a 4-dimensional variational system (4DVAR), that was currently tested in real-time operations, are discussed. The variational Doppler radar assimilation system (VDRAS) can be used to retrieve boundary-layer flows and temperature perturbations in urban areas from Doppler radar observations. The retrieved meteorological fields can then be used to drive a dispersion model. One of the limitations of the VDRAS system is the lack of surface and planetary boundary layer (PBL) physics. Methods are needed to increase the speed of the minimization algorithm, in order to make it more efficient to run the system with more grid points.

Original language	English
Pages (from-to)	341-343
Number of pages	3
Journal	Bulletin of the American Meteorological Society
State	Published - 2004
Event	Combined Preprints: 84th American Meteorological Society (AMS) Annual Meeting - Seattle, WA., United States Duration: Jan 11 2004 → Jan 15 2004

Cite this

@article{7d43a41d05f2459587f214451aeccdb1,

title = "Nowcasting for urban areas by variational assimilation of Doppler radar and lidar radial wind data",

abstract = "The uses of a 4-dimensional variational system (4DVAR), that was currently tested in real-time operations, are discussed. The variational Doppler radar assimilation system (VDRAS) can be used to retrieve boundary-layer flows and temperature perturbations in urban areas from Doppler radar observations. The retrieved meteorological fields can then be used to drive a dispersion model. One of the limitations of the VDRAS system is the lack of surface and planetary boundary layer (PBL) physics. Methods are needed to increase the speed of the minimization algorithm, in order to make it more efficient to run the system with more grid points.",

author = "Mei Xu and Crook, \{N. Andrew\} and Juanzhen Sun and Thomas Warner and Scott Swerdlin",

year = "2004",

language = "English",

pages = "341--343",

journal = "Bulletin of the American Meteorological Society",

issn = "0003-0007",

publisher = "American Meteorological Society",

note = "Combined Preprints: 84th American Meteorological Society (AMS) Annual Meeting ; Conference date: 11-01-2004 Through 15-01-2004",

}

TY - JOUR

T1 - Nowcasting for urban areas by variational assimilation of Doppler radar and lidar radial wind data

AU - Xu, Mei

AU - Crook, N. Andrew

AU - Sun, Juanzhen

AU - Warner, Thomas

AU - Swerdlin, Scott

PY - 2004

Y1 - 2004

N2 - The uses of a 4-dimensional variational system (4DVAR), that was currently tested in real-time operations, are discussed. The variational Doppler radar assimilation system (VDRAS) can be used to retrieve boundary-layer flows and temperature perturbations in urban areas from Doppler radar observations. The retrieved meteorological fields can then be used to drive a dispersion model. One of the limitations of the VDRAS system is the lack of surface and planetary boundary layer (PBL) physics. Methods are needed to increase the speed of the minimization algorithm, in order to make it more efficient to run the system with more grid points.

AB - The uses of a 4-dimensional variational system (4DVAR), that was currently tested in real-time operations, are discussed. The variational Doppler radar assimilation system (VDRAS) can be used to retrieve boundary-layer flows and temperature perturbations in urban areas from Doppler radar observations. The retrieved meteorological fields can then be used to drive a dispersion model. One of the limitations of the VDRAS system is the lack of surface and planetary boundary layer (PBL) physics. Methods are needed to increase the speed of the minimization algorithm, in order to make it more efficient to run the system with more grid points.

UR - https://www.scopus.com/pages/publications/2442592586

M3 - Conference article

AN - SCOPUS:2442592586

SN - 0003-0007

SP - 341

EP - 343

JO - Bulletin of the American Meteorological Society

JF - Bulletin of the American Meteorological Society

T2 - Combined Preprints: 84th American Meteorological Society (AMS) Annual Meeting

Y2 - 11 January 2004 through 15 January 2004

ER -

Nowcasting for urban areas by variational assimilation of Doppler radar and lidar radial wind data

Abstract

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