Artículo
Ruiz, N.E. "Biserial correlation between vorticity field and precipitation: Rainfall diagnosis and prediction" (2002) Geofisica Internacional. 41(2):203-212
Consulte la política de Acceso Abierto del editor
Abstract:
This work concerns the examination of a methodology of synoptic climatology, the biserial correlation technique, which allows studying the relationship between atmospheric circulation and precipitation. The physical meaning of biserial correlation fields between variables representing synoptic-scale circulation, particularly vorticity fields, and local precipitation is explored. One purpose is to examine this approach used to link the large-scale circulation and the smaller-scale surface environment, which seems to be simple, efficient and easy to interpret. An analysis based on biserial correlation configurations between 500 hPa vorticity and precipitation takes into account anomalous vorticity gradients including curvature and shear effects to describe some mechanisms favoring the occurrence of rainfall. It is shown that anomalies in the curvature of synoptic systems are largely causing precipitation. Daily precipitation at Córdoba, Argentina is used as an example to illustrate the results. The position of the cyclonic and anticyclonic anomaly centers and the position of the jet streams in association with precipitation may be clearly identified. The analysis is made extensive to heavier rainfall.
Registro:
| Documento: | Artículo |
| Título: | Biserial correlation between vorticity field and precipitation: Rainfall diagnosis and prediction |
| Autor: | Ruiz, N.E. |
| Filiación: | Depto. de Ciencias de la Atmosfera y los Océanos, Fac. de Ciencias Exactas y Naturales, Universidad de Buenos Aires, 1428 Buenos Aires, Argentina |
| Palabras clave: | Biserial correlation; Precipitation; Vorticity; atmospheric circulation; forecasting method; rainfall |
| Año: | 2002 |
| Volumen: | 41 |
| Número: | 2 |
| Página de inicio: | 203 |
| Página de fin: | 212 |
| Título revista: | Geofisica Internacional |
| Título revista abreviado: | Geofis. Int. |
| ISSN: | 00167169 |
| Registro: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00167169_v41_n2_p203_Ruiz |
Referencias:
- Barry, R.G., Perry, A.H., (1973) Synoptic Climatology. Methods Applications, p. 555. , William Clowes & Sons, Ltd., London, Great Britain
- Compagnucci, R.H., (1988) Climatología Sinóptica De Las Precipitaciones De Cuyo, , Tesis doctoral, Dpto. de Meteorología, FCEyN, UBA
- Ehrendorfer, M., A regionalization of Austrias's precipitation climate using Principal Component Analysis (1987) J. Climatol., 7, pp. 71-89
- Friedman, D.G., Specification of temperature and precipitation in terms of circulation patterns (1955) J. Meteor., 12 (5), pp. 428-435
- Holton, J.R., (1979) An Introduction to Dynamic Meteorology, , 2nd edn (Int. Geophys. Ser., 23). New York: Academic Press
- Klein, W.H., Lewis, B.M., Enger, I., Objective prediction of five-day mean temperature during winter (1959) J. Meteorol., 16, pp. 672-682
- Hordij, J.H., Scabbiolo, M.N., Cálculo objetivo de las vorticidades por cortante y por curvatura (1982) Meteorológica, 13 (1), pp. 35-47
- Klein, W.H., Walsh, J.E., A comparison of pointwise screening and empirical orthogonal functions in specifying monthly surface temperature from 700 mb data (1983) Monthly Weather Review, 111, pp. 669-673
- Lorenz, E.N., (1956) Empirical Orthogonal Functions and Statistical Weather Prediction, , Cambridge, M.I.T., Department of Meteorology, Scientific Report No 1
- Lund, I.A., Map-pattern classification by statistical methods (1963) J. App. Meteor., 2, pp. 56-65
- Kalkstein, L.S., Tan, G., Skindlov, J.A., An evaluation of three clustering procedures for use in synoptic climatological classification (1987) J. Clim. Appl. Meteor., 26, pp. 717-730
- Kirchhofer, W., Classification of European 500 mb patterns (1973) Arbeitsbericht Der Schweizerischen Meteorologischen Zentralanstalt, , No. 43, Geneva
- Panofsky, H.A., Brier, G.W., (1965) Some Applications of Statistics to Meteorology, , The Pennsylvania State University, Pennsylvania
- Pearson, K., On a new method of determining correlation between a measured character A, and a character B, of which only the percentage of cases wherein B exceeds (or falls short of) a given intensity is recorded for each of A (1909) Biometrika, 7 (1), p. 2. , y
- Richman, M.B., Obliquely rotated principal components: An improved meteorological map typing technique? (1981) J. Appl. Meteor., 20, pp. 160-172
- Ruiz, N.E., Vargas, W.M., Estudio de diagnóstico sinóptico de la precipitación en Buenos Aires en base a análisis de 500 mb del ECMWF (1993) Meteorológica, 18 (1-2), pp. 3-12. , y
- Stidd, C.K., The use of correlation fields in relating precipitation to circulation (1954) J. Meteor., 11, pp. 202-213
- Wadsworth, G.P., Short range and extended forecasting by statistical methods (1948) Air Wea. Serv. Tech. Rep., (105-138), p. 202
- Yarnal, B., (1993) Synoptic Climatology in Environmental Analysis, p. 195. , Belhaven Press, United Kingdom
Citas:
---------- APA ----------
(2002) . Biserial correlation between vorticity field and precipitation: Rainfall diagnosis and prediction. Geofisica Internacional, 41(2), 203-212.Recuperado de https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00167169_v41_n2_p203_Ruiz [ ]
---------- CHICAGO ----------
Ruiz, N.E. "Biserial correlation between vorticity field and precipitation: Rainfall diagnosis and prediction" . Geofisica Internacional 41, no. 2 (2002) : 203-212.Recuperado de https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00167169_v41_n2_p203_Ruiz [ ]
---------- MLA ----------
Ruiz, N.E. "Biserial correlation between vorticity field and precipitation: Rainfall diagnosis and prediction" . Geofisica Internacional, vol. 41, no. 2, 2002, pp. 203-212.Recuperado de https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00167169_v41_n2_p203_Ruiz [ ]
---------- VANCOUVER ----------
Ruiz, N.E. Biserial correlation between vorticity field and precipitation: Rainfall diagnosis and prediction. Geofis. Int. 2002;41(2):203-212.Available from: https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00167169_v41_n2_p203_Ruiz [ ]
