2001
DOI: 10.1017/s1350482701001050
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Use of potential vorticity fields, Meteosat water vapour imagery and pseudo water vapour images for evaluating numerical model behaviour

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Cited by 12 publications
(8 citation statements)
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“…Georgiev, 1999;Lagouvardos and Kotroni, 2000;Georgiev and Martín, 2001). While Georgiev (1999) tried to quantify the relationship between METEOSAT WV data and positive PV anomalies (he found a correlation coefficient ranging between 0.58 and 0.64 considering 500 hPa PV analyses for two cases of cyclones), Georgiev and Martín (2001) used the PV-WV link as a diagnostic tool to validate numerical outputs. Nevertheless, none of these studies used PV inversion methods to correct numerical PV fields in the case of a mismatch with satellite data.…”
Section: Introductionmentioning
confidence: 99%
“…Georgiev, 1999;Lagouvardos and Kotroni, 2000;Georgiev and Martín, 2001). While Georgiev (1999) tried to quantify the relationship between METEOSAT WV data and positive PV anomalies (he found a correlation coefficient ranging between 0.58 and 0.64 considering 500 hPa PV analyses for two cases of cyclones), Georgiev and Martín (2001) used the PV-WV link as a diagnostic tool to validate numerical outputs. Nevertheless, none of these studies used PV inversion methods to correct numerical PV fields in the case of a mismatch with satellite data.…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, experience shows that water vapor (WV) channel images can serve operational forecasters as a valuable tool for monitoring upper-level dynamics. Indeed, forecasters detect failures in a model analysis by comparing the imagery information with NWP model output [15]. In particular, PV anomalies and areas of vertical motion that are involved in cyclogenesis are conspicuous as relatively warm features on the images, as shown by radiance temperature.…”
Section: Analysis and Free Run Comparison With Independent Observationsmentioning
confidence: 99%
“…The frontal cloud band is clearly visible, as is the dry area immediately to its west and south associated with upper-level descent. The pseudo-WV image provides a method of quickly assessing whether the model has resolved essential features of the atmospheric development, by comparison with actual WV imagery (see, e.g., Georgiev and Martin 2001). In this case, the correspondence between the two images of the frontal band, the tropopause descent near the trough axis and broad descent over the Great Australian Bight, suggest that key aspects of the dynamics have been captured by mesoLAPS.…”
Section: F Mesoscale Featuresmentioning
confidence: 99%