- -

Tendencias actuales en el modelado de la precipitación diaria

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

  • Estadisticas de Uso

Tendencias actuales en el modelado de la precipitación diaria

Show simple item record

Files in this item

Thumbnail
Name: 2633-7852-1-PB.pdf
Size: 1.201Mb
Format: PDF
Open
dc.contributor.author Roldán Cañas, José es_ES
dc.date.accessioned 2019-03-22T08:42:45Z
dc.date.available 2019-03-22T08:42:45Z
dc.date.issued 1994-03-31
dc.identifier.issn 1134-2196
dc.identifier.uri http://hdl.handle.net/10251/118409
dc.description.abstract [ES] Sin resumen es_ES
dc.language Español es_ES
dc.publisher Universitat Politècnica de València
dc.relation.ispartof Ingeniería del Agua
dc.rights Reserva de todos los derechos es_ES
dc.subject Ingeniería del agua es_ES
dc.subject Ingeniería civil es_ES
dc.subject Ingeniería hidráulica es_ES
dc.title Tendencias actuales en el modelado de la precipitación diaria es_ES
dc.type Artículo es_ES
dc.date.updated 2019-03-22T08:07:39Z
dc.identifier.doi 10.4995/ia.1994.2633
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Roldán Cañas, J. (1994). Tendencias actuales en el modelado de la precipitación diaria. Ingeniería del Agua. 1(1):89-100. https://doi.org/10.4995/ia.1994.2633 es_ES
dc.description.accrualMethod SWORD es_ES
dc.relation.publisherversion https://doi.org/10.4995/ia.1994.2633 es_ES
dc.description.upvformatpinicio 89 es_ES
dc.description.upvformatpfin 100 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 1
dc.description.issue 1
dc.identifier.eissn 1886-4996
dc.description.references Akaike, H. 1.974. A new look at the statistical model identification. IEEE Trans. Autom. Control, 19(6):716-723. es_ES
dc.description.references Alcaide, M. 1.986. Análisis estacional v regional de la precipitación en el valle del Guadalquivir.Tesis Doctoral, Universidad de Córdoba, 249 pp. es_ES
dc.description.references Alcaide, M.; J. Roldan y A. Losada. 1.986. Análisis estacional y regional de la precipitación en el valle del Guadalquivir. Comunicaciones a las V Jornadas Técnicas sobre Riegos, Málaga, pp. 3-19. es_ES
dc.description.references Artacho, C. 1.991. Caracterización estocástica de las principales variables meteorológicas que influven en la evapotranspiración. TesisDoctoral, Universidad de Córdoba. es_ES
dc.description.references Artacho, C.; J. Roldán; A. García Guzmán y M. Alcaide. 1.989. Modelado de la temperatura y humedad relativa en Andalucía Occidental. Riegos y Drenajes XXI, 28:32-34. es_ES
dc.description.references Buishand, T.A. 1.977. Stochastic modeling of daily rainfa11 sequencs. MededeIingen Landbouwhogeschoul, Rep. 77-3, Wageningen, 211 pp. es_ES
dc.description.references Carey, D.A. y C.T. Haan. 1.978. Markov process for simulating daily point rainfall. J. of Irrig. and Drain. Div., 104(1): 111-125. es_ES
dc.description.references Carrera, J. y J. Samper. 1.985. Métodos geoestadísticos aplicados a la hidrología subterránea. Universidad Politécnica de Valencia, Valencia. es_ES
dc.description.references Chin, E.H. 1.977. Modeling daily precipitación occurrence process with Markov chain. Water Resour. Res., 13(6):949-956. es_ES
dc.description.references Coe, R. y R.D. Stern. 1.982. Fitting models to daily rainfall data. J. Appl. Meteorol., 21:1024-1031. es_ES
dc.description.references Creutin, J.D. y C. Obled. 1.982. Objective analyses and mapping techniques for rainfall fields: an objective comparison. Water Resour. Res., 18(2):413-431. es_ES
dc.description.references Dean, J.D. y W.M. Snyder. 1.977. Temporally and areally distributed rainfall. J. of the Irrig. and Drain. Div., 103(2):221-229. es_ES
dc.description.references Eidsvik, K.J. 1.980. Identification of models for some time series of atmospheric origin with Akaike's information criterion. J of Appl. Meteorol., 19(4):357-369. es_ES
dc.description.references Enfield, D.B. 1.989. El Niño. Past and present. Rev.Geophys., 21:159-187. es_ES
dc.description.references Feyerherm, A.M. y L.D. Bark. 1.965. Statistical methods for persisten! precipitation patterns. J. Appl. Meteor., 4:320-328. es_ES
dc.description.references Feyerherm, A.M.; L.D. Bark y W.C. Burrows. 1.965. Probabilities of sequences of wet and dry days in South Dakota. North Central Reg. Res. Publ. 161, Kansas Satate Univ., Manhattan. es_ES
dc.description.references Fletcher, R. 1.972. Fortran subroutines for minimization by quasi-Newton methods. Rep. AERE-R7125, Atomic Energy Research Establishment, Harwell, Gran Bretaña. es_ES
dc.description.references Foufoula-Georgiou, E. y D.P. Lettenmaier. 1.987. A Markov renewal model for rainfall occurrences. Water Resour. Res., 23(5):875-884. es_ES
dc.description.references Foufoula-Georgiou, E. y K.P. Georgakakos. 1.991. Hydrologic advances in space-time precipitation modelling and forecasting. En: Recent advances in the modeling of hydrologic systems, D.S. Bowles y P.E. O'Connell (eds.), Kluwer Academic Publishers, Dordrecht, Holanda, pp. 47-65. es_ES
dc.description.references Frasier, G.W.; J.R. Cox y D.A. Woolhiser. 1.987. Wet-dry cycle effects on warm-season grass seedling establishment. J. of Range Management, 40(l):2-6. es_ES
dc.description.references Gabriel, K.R. y J. Neuman. 1.962. A Markov chain model for daily rainfall in Tel-Aviv. Quart. J. Roy. Meteor. Soc., 88:90-95. es_ES
dc.description.references García Guzmán, A. 1.988. La lluvia: formación v distribución (2a parte). Apuntes del Curso de Doctorado Hidrología, E. T.S. I. Agrónomos, Universidad de Córdoba. es_ES
dc.description.references García Guzmán, A. y W.C. Torrez. 1.985. Daily rainfall probabilities: conditional upon prior occurrence and amount of rain. J. of Clim. and Appl. Meteor., 24(10): 10009-1014. es_ES
dc.description.references García Guzmán, A.; J. Roldán y A. Losada. 1.981. Caracterización del régimen de lluvias en Córdoba. I Simposio sobre el Agua en Andalucía, Granada, Vol. 1:31-45. es_ES
dc.description.references Haan, C.T. 1.972. A water yield model for small watersheds. Water Resour. Res., 8(l):58-68. es_ES
dc.description.references Haan, C.T.; D.M. Alien y J.O. Street. 1.976. A Markov chain model for daily rainfall. Water Resour. Res., 12(3):443-449. es_ES
dc.description.references Hanson, C.L.; H.B. Osborn y D.A. Woolhiser. 1.989. Daily precipitation simulation model for mountainous areas. Trans. ASAE, 32(3):865-873. es_ES
dc.description.references Hocl, P.G. 1.971. Introduction to mathematical statistics. J. Wiley, New York. es_ES
dc.description.references Hubbard, K.G. y D.A. Willhitc. 1.987. A demonstraron and evaluation of the use ofclimate information to support irrigation scheduling and other agricultural operations. Rcport 87-4, Center for Agricultural Meteorology and Climatology, Univ. of Nebraska, Lincoln. es_ES
dc.description.references Ibáñez, V. 1.982. Elaboración de una metodología para estimar la persistencia de las precipitaciones. Su aplicación al cultivo del arroz en Levante.Tesis Doctoral. Universidad Politécnica de Madrid, 269 pp. es_ES
dc.description.references Insúa, F.; A. García Guzmán y J. Roldán. 1.981. Influencia del régimen pluviométrico sobre las labores agrícolas. J Simposio sobre el Agua en Andalucía, Vol. 1:63-76, Granada. es_ES
dc.description.references Ison, N.T.; A.M. Feyerherm y L.D. Bark. 1.971. Wet period precipitation and the gamma distribution. J. of Appl Meteor., 10(4):658-665. es_ES
dc.description.references Jensen, M.E. 1.972. Programming irrigation forgreater effíciency. En: Optimizing the soil physical environment toward greater crop yields, D. Hillel (ed.), Academic Press, New York, pp. 113-162. es_ES
dc.description.references Katz, R.W. 1.977a. Precipitation as a chain-dependent process. J. Appl. Meteor., 16(7):671-676. es_ES
dc.description.references Katz, R.W. 1.977b. An application of chain-dependent processes to meteorology. J. Appl. Prob., 14:598-603. es_ES
dc.description.references Katz, R.W. 1.979. Parsimony in modeling daily precipitation. Water Resour. Res., 15(6):1628-1630. es_ES
dc.description.references Katz, R.W. 1.981. On some criteria for estimating the order of a Markov chain. Technometrics, 27(3):243-249. es_ES
dc.description.references Katz, R.W. 1.984. Discusión del artículo de Stern y Coe. J. R. Statist. Soc., A, 147, parte 1:29. es_ES
dc.description.references Kavvas, M.L. y K.R. Herd. 1.985. A radar based stochastic model for short time increment rainfall. Water Resour. Res., 21(9): 1437-1455. es_ES
dc.description.references Lancaster, P. y K. Salkaustras. 1.986. Curve and surface fitting. An introduction. Academic Press, Londres. es_ES
dc.description.references Lomas, J. 1.972. Economic significance of dry-land farming in the arid northern Negev of Israel.Agrie. Meteor., 10:383-392. es_ES
dc.description.references Lund, LA. y D.A. Granthan. 1.977. Persistence, runs and reeurrence of precipitation. J. Appl. Meteor., 16:346-358. es_ES
dc.description.references Mielke, P.W. 1.973. Another family of distributions for describing and analyzing precipitation data. J. of Appl. Meteor., 10(2):275-280. es_ES
dc.description.references Mielke, P.W. y E.S. Johnson. 1.973. Three-parameter kappa distribution maximum likelihood estimates and likelihood ratio tests. Mon.Weather Rev., 101(9):701-707. es_ES
dc.description.references Moreno, F.; D.A. Woolhiser y J. Roldán. Regionalización de parámetros en modelos estocásticos de precipitación diaria. En preparación. es_ES
dc.description.references Nelder, J.A. y R. Mead. 1.965. A simplex method for function minimization. Compu. J., 7(4):308-313. es_ES
dc.description.references Newnhan, E.V. 1.916. The persistence of wet and dry weather. Quart. J. Roy. Met. Soc., 42:153-162. es_ES
dc.description.references Palmer, W.L.; B.J. Barfield y C.T. Haan. 1.982. Sizing farm reservoirs for'supplemental irrigation of corn. Part I: Modeling reservoir size yield relationships. Trans. ASAE, 25:372-376. es_ES
dc.description.references Richardson, C.W. y D.A. Wright. 1.984. WGEN: A model for generating daily weather variables. U.S.D.A., Agrie. Res. Serv., ARS-8: l-83. es_ES
dc.description.references Pérez Lucena, J. 1.994. Modelo estocástico de la precipitación diaria. Aplicación a las estaciones de Córdoba v Sevilla.Trabajo Fin de Carrera, E.T.S.I.-Agrónomos y de Montes, Universidad de Córdoba, 151 pp. es_ES
dc.description.references Pérez Lucena, J.; J. Roldán; M. Alcaide y D.A. Woolhiser. 1.994. Techniques to improve the fit on stochastic rainfall models in southwestern Spain. Presentado a la XIX General Assembly of the European Geophysical Society, 25-29 abril, Grenoble, Francia. es_ES
dc.description.references Roldán, J. 1.979. Caracterización del régimen hidrológico de una región: sistemas de vientos y lluvias. Tesis Doctoral, Universidad de Córdoba, 216 pp. es_ES
dc.description.references Roldán, J. y D.A. Woolhiser. 1.982. Stochastic daily precipitation models. 1. A comparison of occurrence processes. Water Resour. Res., 18(5): 1451-1459. es_ES
dc.description.references Roldán, J.; A. García Guzmán y A. Losada. 1.982. A stochastic model for wind occurrence. J. of Appl. Meteor., 21(5):740-744. es_ES
dc.description.references Roldán, J.; M. Alcaide; A. Laguna y J.V. Giráldez. 1.989. Mapping techniques for rainfall fields. En: Application of computerizad EC soil map and climate data. EUR 12039, Commission of the European Communitics, Luxemburgo, pp. 167-176. es_ES
dc.description.references Schwarz, G. 1.978. Estimating the dimensión of a model.Annals of Statixt., 6:461-464. es_ES
dc.description.references Shaw, R.H.; G.L. Barger y R.F. Dale. 1.960. Precipitation probabilities in the North Central States. Bull. 753, Missouri Agrie. Exp. Sta., Columbia, Mo. es_ES
dc.description.references Smith, R.E. y H.A. Schreiber. 1.973. Point process of seasonal thunderstorm rainfall. 1. Distribution of rainfall events. Water Resour. Res., 9(4):871-884. es_ES
dc.description.references Smith, R.E. y H.A. Schreiber. 1.974. Point process of seasonal thunderstorm rainfall. 2. Rainfall depth probabilities. Water Resour. Res., 10(3):418-423. es_ES
dc.description.references Stern, R.D. 1.980a. Analysis of daily rainfall at Samaru, Nigeria, using a simple two-part model. Arch. Meteorol. Geophys. Bioklimatol, Ser. B, 28:123-135. es_ES
dc.description.references Stern, R.D. 1.980b. The calculation of probability distributions of models of daily precipitation. Arch. Meteorol. Geophys. Bioklimatol, Ser. B, 28:137-147. es_ES
dc.description.references Stern, R.D. y R. Coe. 1.984. A model fitting analysis of daily rainfall data. J. Roy. Statist. Soc., A, 147, parte 1:1-34. es_ES
dc.description.references Todorovic, P. y D.A. Woolhiser. 1.974. Stochastic model of daily rainfall. U.S.D.A. Mise. Publ 1215:232-246. es_ES
dc.description.references Todorovic, P. y D.A. Woolhiser. 1.975. Stochastic model of n-day precipitation. J. Appl. Meteor., 14(1): 17-24. es_ES
dc.description.references Villalobos, F.J. y E. Fereres. 1.989. A simulation model for irrigation scheduling under variable rainfall. Trans. ASAE, 32(1): 181-188. es_ES
dc.description.references Welch, S.M. 1.984. Developments in computer-based IPM extensión delivery systems. Ann. Rev. of Entomology, 29:359-381. es_ES
dc.description.references Williams, J.R. y K.G. Renard. 1.985. Assesments of soil erosion and crop productivity with process models (EPIC). Cap. 5. En: Soil erosion and crop productivity, R.F. Follett y B.A. Stewart (eds.), American Society of Agronomy y Crop Science Society of America, Madison, WI, pp. 67-103. es_ES
dc.description.references Woolhiser, D.A. 1.992. Modeling daily precipitation. Progress and problems. En: Statistics in the environmental and earth sciences, A. Walden y P. Guttorp (eds.), Edward Arnold, Londres, pp. 71-89. es_ES
dc.description.references Woolhiser, D.A. y G.G.S. Pegram. 1.979. Maximum likelihood estimation of Fourier coefficients to describe seasonal variations of parameters in sto-chastic daily precipitation models. J. Appl. Meteo-rol., 18:34-42. es_ES
dc.description.references Woolhiser, D.A. y J. Roldán. 1.982. Stochastic daily precipitation models. 2. A comparison of distribution of amounts. ater Resour. Res., 18(5):1461-1468. es_ES
dc.description.references Woolhiser, D.A. y J. Roldán. 1.986. Seasonal and regional variability of parameters in Stochastic daily precipitation models: South Dakota,U.S.A. Water Resour. Res., 22(6):965-978. es_ES
dc.description.references Woolhiser, D.A.; E.W. Rovey y P. Todorovic. 1.973. Temporal and spatial variation of parameters for the distribution of n-day precipitation. En: Floods and Droughts, Proceedings of the Second International Symposium in Hydrology, E. F. Schulz, V.A. Koelzer y K. Mahmood (eds.), Water Resources Publications, Fort Collins, Colorado, pp. 605-614. es_ES
dc.description.references Woolhiser, D.A.; C.L. Hanson y C.W. Richardson. 1.988. Microcomputer program for daily weather simulation. U.S.D.A., Agrie. Rea. Serv., ARS-75, 49 pp. es_ES
dc.description.references Woolhiser, D.A.; T.O. Keefer y K.T. Redmond. 1.993. Southern oscillation effects on daily precipitation in the southwestern U.S. Water Resour. Res., 29(4): 1287-1295. es_ES
dc.description.references Zucchini, W. y P.T. Adamson. 1.984. The occurrence and severity of droughts in South Africa. Dept. of Civil Engineering, Univ. of Stellenbosch y ept. of Water Affairs, WRC Repon No.91/1/84, 198 pp. es_ES


This item appears in the following Collection(s)

Show simple item record