Determination of the Boundary Layer Airflow from a Single Doppler Radar

Tuttle, John D.; Foote, G. Brant

doi:10.1175/1520-0426(1990)007<0218:dotbla>2.0.co;2

Cited by 159 publications

(102 citation statements)

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“…By analysing the displacement of the precipitation cells from one scan to the next one (5 min later), 2D advection fields can be determined and used to over-sample the data (Tuttle and Foote, 1990;Tabary, 2007). The 2D advection field is subsequently used to advect the 5 min radar rainfall rate maps by 30 s increment steps.…”

Section: Selection Of the Qpe Algorithmsmentioning

confidence: 99%

Long‐term monitoring of French polarimetric radar data quality and evaluation of several polarimetric quantitative precipitation estimators in ideal conditions for operational implementation at C‐band

Ventura

Boumahmoud

Fradon

et al. 2012

Quart J Royal Meteoro Soc

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This article presents the evaluation of several polarimetric quantitative precipitation estimation (Pol-QPE) algorithm candidates for operational implementation in the Météo-France polarimetric weather radars (nine C-band and one S-band out of a total of 24 radars in 2011). Since the performance of the algorithms depends on both the quality of the polarimetric variables and the applied polarimetric processing, the article first describes the current polarimetric processing chain and then provides a comprehensive analysis of the quality of the polarimetric variables.Three types of QPE algorithms have been studied at C-band in ideal conditions (short ranges, no partial beam blocking, no vertical profile of reflectivity effects): (i) algorithms based on simple Z-R relationships with and without attenuation correction using the differential phase dp , (ii) an algorithm based on reflectivity (Z h ) and differential reflectivity (Z dr ), and (iii) algorithms based on specific differential phase (K dp ).Evaluation against rain-gauges, performed hourly, confirms the superiority of polarimetric algorithms as repeatedly reported in the literature. It also shows that the benefits brought by algorithms based on power variables, Z h and Z dr , are critically dependent upon the capability to correctly calibrate them. Long-term monitoring shows that, with the current radar systems and operational calibration procedures, a stability of ±0.4 dB is achieved on Z dr . In that context, QPE algorithms based on K dp , which are considered to be immune to partial beam blocking, calibration, attenuation, etc., are preferred for operational use until improvements are made to the calibration of Z dr . To this end, a hybrid algorithm based on attenuationcorrected Z h for low rain rates and K dp for higher rain rates has been designed and tested Copyright c 2012 Royal Meteorological Society Key Words: polarimetry; polarimetric processing; radar calibration; radar-raingauge comparisons

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Section: Selection Of the Qpe Algorithmsmentioning

confidence: 99%

Long‐term monitoring of French polarimetric radar data quality and evaluation of several polarimetric quantitative precipitation estimators in ideal conditions for operational implementation at C‐band

Ventura

Boumahmoud

Fradon

et al. 2012

Quart J Royal Meteoro Soc

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“…This may result in large errors if the shape or sizes of the storm change rapidly 27 . The second group is the cross-correlation tracking technique [28][29][30][31] . This technique divides Cartesian radar data into equally-spaced grid cells.…”

Section: Effect Of Storm Movement On Radar Rainfallmentioning

confidence: 99%

Untitled

Lowanichchai¹,

Weesakul²,

Chatdarong³

et al. 2010

ScienceAsia

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ABSTRACT:The main objective of this paper is to improve the accuracy of radar rainfall estimation by accounting for a storm movement into a radar rainfall accumulation process. The multi-resolution viscous alignment (MVA) technique was used to estimate the velocity of a rain field from two consecutively measured radar images. The analysis used the 10-min radar reflectivity of the Pasicharoen radar and the corresponding 47 rain gauges measurements of 41 rainfall events that occurred in Bangkok during [2005][2006][2007]. The 28 rainfall events occurring during 2005-2006 were used for calibration, and the 13 rainfall events recorded in 2007 were used for validation. Finer temporal resolutions of radar reflectivity data, taken at 1-9 min intervals, were generated using the MVA technique in order to investigate the optimal temporal resolution of the Pasicharoen radar when the MVA technique was integrated into an hourly radar rainfall estimation algorithm to account for a storm movement within a sampling interval. The results showed that using the generated 5-min MVA reflectivity data for estimating hourly radar rainfall gave the smallest root mean square error (RMSE) between hourly radar rainfall estimates and corresponding rain gauge data when compared to other temporal resolutions of generated MVA reflectivity. Hourly radar rainfall obtained from the proposed algorithm, which integrates the MVA technique into the accumulation approach, was compared with the traditional simple linear interpolation (SLI) technique and conventional method. Using the 5-min generated MVA reflectivity data to estimate hourly radar rainfall can reduce RMSEs between hourly radar and rain gauge rainfall by 10% and 17% for the calibration period, and by 27% and 29% for the validation period when compared to the SLI and conventional methods, respectively.

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“…TREC calculates the maximum correlation coefficients between successive images of radar reflectivity to obtain the motion vectors of different regions, based on which radar reflectivity can be extrapolated. Tuttle and Foote [8] used TREC to retrieve the wind field of the boundary layer, and removed the noise and the ground clutter. Li and Schmid [9] improved TREC and proposed COTREC (continuity of TREC vectors) based on constraints and a variational technique that avoids the divergence of reflectivity and fulfill the continuity equation.…”

Section: Introductionmentioning

confidence: 99%

Application of Multiple Wind Retrieval Algorithms in Nowcasting

Wei

Niu³

et al. 2015

Atmosphere

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Multiple wind retrieval algorithms are performed to retrieve wind fields, based on which radar reflectivity is extrapolated to implement nowcasting. The frequently used nowcasting algorithm COTREC (continuity of tracking radar echo by correlation), based on the reflectivity and wind retrieval algorithm GVAD (gradient velocity azimuth display), based on radial velocity are used. The wind fields retrieved by the two methods are taken as motion vectors to give a 60-min forecast of radar reflectivity. Comparison analysis on precipitation events shows that GVAD can be used in operational nowcasting as COTREC performs and for stable precipitation duration, COTREC gives better nowcasting results than GVAD, while, for evolving precipitation duration, GVAD gives better nowcasting results than COTREC.

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Determination of the Boundary Layer Airflow from a Single Doppler Radar

Cited by 159 publications

References 0 publications

Long‐term monitoring of French polarimetric radar data quality and evaluation of several polarimetric quantitative precipitation estimators in ideal conditions for operational implementation at C‐band

Long‐term monitoring of French polarimetric radar data quality and evaluation of several polarimetric quantitative precipitation estimators in ideal conditions for operational implementation at C‐band

Untitled

Application of Multiple Wind Retrieval Algorithms in Nowcasting

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