Course - detail

LEB5019 - Climatology Statistics


Credit hours

In-class work
per week
Practice
per week
Credits
Duration
Total
3
3
8
15 weeks
120 hours

Instructor
Fábio Ricardo Marin
Sônia Maria De Stefano Piedade

Objective
Provide basic knowledge of statistics applied to the time series of climatological data, as well as more
advanced topics such as the theory of regionalized variables, allowing the study of climates and their
variability, as well as the probability of occurrence of extreme events harmful to agriculture.

Content
INTRODUCTION: CLIMATOLOGICAL SERIES: treatment by descriptive statistics; gap filling methods by
data imputation PROBABILITY: definitions, theorems and distributions;
STATISTICAL DISTRIBUTIONS AND THEIR USE IN CLIMATOLOGY: Normal distribution; distribution and
its application in the distribution of rainfall totals per period; beta distribution and extreme values:
binomial and Poisson; negative binomial, for distributions with variances greater than the means;
ASSOCIATION OF CLIMATE VARIABLES: regressions and independence test
of factors;
HARMONIC ANALYSIS: applications in the distribution of cyclical climatic phenomena;
FUNCTION DISCRIMINANT AND ITS USE IN AGROCLIMATIC STUDIES: association of climatic variables,
correlation and regression, factor independence test;
CONDITIONED PROBABILITY: application of the Markov chain to determine the probability of climatic
phenomena with tendency and persistence;
USE OF THE THEORY OF REGIONALIZED VARIABLES IN THE TREATMENT OF CLIMATE DATA.

Bibliography
1. ASSIS, F.N. Aplicações de Estatística à Climatologia. Ed. Universitária. Pelotas, 1996.
2. THOM, H.C.S. Some Methods of Climatological Analysis. World Meteor. Org. Tech. Note no. 81. 1966.
3. PANOFSKY,H.A.,BRIER, G.W.Some Applications of Statistics to Meteorology.Pennsilvania State
Univ.1968
4. ESSENWANGER, O.Applied Statistical in Atmospheric Science. Part A. Frequencies and Curve
Filling.1976
5. DALE, R.F. Statistical Climatology. Course Outline. 125p. 1975.
6. HOFFMANN, R. e VIEIRA, S. Análise de Regressão. Editora Hucitec. 379p. 1983.
7. Coles, S. An introduction to Statistical Modeling of Extremes Values. London. Springer. 258 p. 2004.
8. Gilman, A, e Hill, J. Data Analysis Using Regression and Multilevel/hierarchical models. Ch. 25.
Cambridge Press. 2006,
PERIÓDICOS:
* Scientia Agrícola
*Revista Brasileira de Agrometeorologia
* Pesquisa Agropecuária Brasileira
*Engenharia Agrícola
* Revista Brasileira de Meteorologia
* Revista Brasileira de Geografia Física
*Agricultural and Forest Meteorology
*International Journal of Climatology
*Jounal of Hidrology
*Journal of Hidrometeorology
*Theoretical and Applied Climatology
*Journal of The Royal Statistics Society
*Journal of American Statistical Association
*Journal of Biometrics & Bioestatistics