Simulação de parâmetros climáticos para a época de crescimento das plantas

Authors

  • Gilberto C Sediyama UFV
  • William J Chancellor UFV
  • Thomas H Burkhardt UFV
  • John R Goss UFV

Keywords:

modelo matemático estocástico, probabilidade condicional de precipitação, técnica de monte carlo, distribuição gama incompleta, umidade relativa do ar

Abstract

This paper deals with development of a stochastic deterministic model to simulate the distribution of the climatic parameters of atmospheric precipitation, air temperature and relative humidity for the climate of Vicosa, Minas Gerais, Brazil. The concepts of statistical density distribution functions associated with climatic data are discussed for estimating daily weather parameters using the Monte Carlo technique and Markov chain probability distribution of rainfall data within a statistical framework for the growing season.

References

BARGER, G., & THOM, H.C.S. Evaluation of drought hazard. Agron. Jour. 41:519-526. 1949.

BRIDGES, T.C., & HAAN, C.T. Reliability of precipitation probabilities estimated from the gamma distribution. Monthly weather Review. 100:607-811. 1972.

CASKEY, J.E. Jr. A Markov chain model for the probability of precipitation châm'ence intervals of various length. Monthly Weather Review. 91:298-301. 19¢ ”

COOKE, D.S. The duration of wet and dry spells at Moncton, New Brunswick. Quart. J. Royal Meteor. Soc. 79:536-538. 1953.

EICHMEIER, AH., & BATEN, W.D. Rainfall probabilities during the crop sgason in Southern Lower Michigan. Monthly Weather Review. 90:277-281. 1962.

GABRIEL, K.R., & NEUMANN, J. A Markov chain model for daily rainfall occurrence at Tel Aviv. Quart. J. Royal Meteor. Soc. 88:90-95. 1962.

HAAN, C.T. & BARGIELD, B.J. Data simulation from probability distribu- tions. Transactions of the ASAE. 14:374. 1971.

JONES, JW., COLWICK, RF. & THEADGILL, ED. A simulated environmental model of temperature, evaporation, rainfall and soil moisture. Transaction of the ASAE. 15:366-372. 1972.

LONGLEY, R.W. The length of dry and wet periods. Quart. J. Royal Meteor. Soc. 79:520-527. 1953.

McCWHORTER, J.C., MATTES, RK. Jr, & BROOKS, B.P. Jr. Precipitation probabilities for Mississippi. Mississippi * University, Water Resources Research Institute, 1966. 51 p.

PEARSON, K. Table of the incomplete beta function. London, University College, 1934. 494 p.

THOM, H.C.S. A note on the gamma distribution. Monthly Weather Review. 86:117-122. 1958.

THOM, H.C.S. Some methods of climatological anulysis. Geneva, WMO, 1966. 53 p. (Technical note No. 81).

TOPIL, L. Le bilan d'eau des sols relations entre les precipitations, Vevaporation et 'ecoulement. Sols Ann. Agron. 3:183-172. 1954.

WEISS, L.L. Sequences of wet or dry days described by a Markov chain probability model. Monthly Weather Review. 92:169-176. 1964.

WILLIANS, C.B. Sequences of wet and of dry days considered in relation to the logarithmic series. Quart. J. Royal Meteor. Soc. 78:91-96. 1952.

WISER, E.H. Monte Carlo methods applied to precipitation frequency analysis. Transactions of the ASAE. 9:538-542. 1966.

YAO, A.Y.M. A statistical model for the surface relative humidity. Journal of Applied Meteorology. 13:17-31. 1974.

Downloads

Published

2025-03-26

How to Cite

C Sediyama, G., J Chancellor, W., H Burkhardt, T., & R Goss, J. (2025). Simulação de parâmetros climáticos para a época de crescimento das plantas. Revista Ceres, 25(141), 455–466. Retrieved from https://ojs.ceres.ufv.br/ceres/article/view/6993

Issue

Section

ARTICLE

Most read articles by the same author(s)