Pronóstico de Variables Climatológicas del Estado de Tlaxcala
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Universidad Tecnológica de la Mixteca
The weather forecast variables plays an important role in the activities of man by allowing anticipating adaptation measures to minimize the effects caused by climate variability. The analysis of the behavior of the climatic variables whose numerical record of their characteristics are longitudinal,...
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| Natura: | bookPart |
| Lingua: | inglese |
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Universidad Tecnológica de la Mixteca
2016
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| _version_ | 1877695588002168832 |
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| author | Herrera Cortés, Silvia |
| author_facet | Herrera Cortés, Silvia |
| author_sort | Herrera Cortés, Silvia |
| collection | Repositorio Institucional UTM |
| description | The weather forecast variables plays an important role in the activities of man by allowing anticipating adaptation measures to minimize the effects caused by climate variability. The analysis of the behavior of the climatic variables whose numerical record of their characteristics are longitudinal, can be done with time series. In this paper, the Box-Jenkins methodology is applied to analyze a database on minimum temperature, rainfall and weekly maximum five weather stations in the state of Tlaxcala. |
| format | bookPart |
| id | utm-123456789-162 |
| institution | Universidad Tecnológica de la Mixteca |
| language | English |
| publishDate | 2016 |
| publisher | Universidad Tecnológica de la Mixteca |
| record_format | dspace |
| spelling | Pronóstico de Variables Climatológicas del Estado de Tlaxcala SILVIA HERRERA CORTES;509453 Herrera Cortés, Silvia Juárez Hernández, Bulmaro BULMARO JUAREZ HERNANDEZ;78065 time series, stationary processes, autocovariance function, partial autocorrelation function, prognosis 1 CIENCIAS FISICO MATEMATICAS Y CIENCIAS DE LA TIERRA The weather forecast variables plays an important role in the activities of man by allowing anticipating adaptation measures to minimize the effects caused by climate variability. The analysis of the behavior of the climatic variables whose numerical record of their characteristics are longitudinal, can be done with time series. In this paper, the Box-Jenkins methodology is applied to analyze a database on minimum temperature, rainfall and weekly maximum five weather stations in the state of Tlaxcala. 2019-06-20T16:51:49Z 2019-06-20T16:51:49Z 2016-01 bookPart publishedVersion Herrera, S. y Juárez, B. (2016). Pronóstico de Variables Climatológicas del Estado de Tlaxcala. En S. Reyes Mora., B. C. Luna Olivera. (Ed.), MODELACIÓN MATEMÁTICA, INGENIERÍA, BIOLOGÍA Y CIENCIAS SOCIALES (pp. 105-113). Huajuapan de León, México: Universidad Tecnológica de la Mixteca. http://repositorio.utm.mx:8080/jspui/handle/123456789/162 eng REPOSITORIO NACIONAL CONACYT openAccess Atribución No Comercial Sin Derivadas http://creativecommons.org/licenses/by-nc-nd/4.0 application/pdf Universidad Tecnológica de la Mixteca |
| spellingShingle | Pronóstico de Variables Climatológicas del Estado de Tlaxcala Herrera Cortés, Silvia time series, stationary processes, autocovariance function, partial autocorrelation function, prognosis 1 CIENCIAS FISICO MATEMATICAS Y CIENCIAS DE LA TIERRA |
| title | Pronóstico de Variables Climatológicas del Estado de Tlaxcala |
| title_full | Pronóstico de Variables Climatológicas del Estado de Tlaxcala |
| title_fullStr | Pronóstico de Variables Climatológicas del Estado de Tlaxcala |
| title_full_unstemmed | Pronóstico de Variables Climatológicas del Estado de Tlaxcala |
| title_short | Pronóstico de Variables Climatológicas del Estado de Tlaxcala |
| title_sort | pronóstico de variables climatológicas del estado de tlaxcala |
| topic | time series, stationary processes, autocovariance function, partial autocorrelation function, prognosis 1 CIENCIAS FISICO MATEMATICAS Y CIENCIAS DE LA TIERRA |
| topic_facet | time series, stationary processes, autocovariance function, partial autocorrelation function, prognosis 1 CIENCIAS FISICO MATEMATICAS Y CIENCIAS DE LA TIERRA |
| url | http://repositorio.utm.mx/handle/123456789/162 |