Statistical model for the analysis of temperature: case study the 1895 - 2014 serie for Florida state

Modelo para el análisis de valores de temperatura: caso de estudio serie 1895-2014 del estado de Florida, EUA

  • Héctor Quevedo-Urías UACJ. Instituto de Ingeniería y Tecnología, Departamento de Ingeniería Civil y Ambiental
  • Felipe Adrián Vázquez-Gálvez UACJ. Instituto de Ingeniería y Tecnología, Departamento de Ingeniería Civil y Ambiental https://orcid.org/0000-0003-0282-8023
  • Ernestor Esparza UACJ. Instituto de Ingeniería y Tecnología, Departamento de ingeniería Civil y Ambiental https://orcid.org/0000-0001-9644-4404
  • Óscar Ibáñez UACJ. Instituto de Ingeniería y Tecnología, Departamento de Ingeniería Civil y Ambiental
  • Servio Tulio De la Cruz-Chaidez UACJ. Instituto de Ingeniería y Tecnología, Departamento de ingeniería Civil y Ambiental
Palabras clave: experimental design, normal probability plotting positions and time-series analysis

Resumen

This study applied experimental design to mean annual, mean maximum and mean minimum temperatures of Florida State, U. S. A. Considerations are: 1. Testing various continuous probability distributions, to identify the best one, to avoid experimental errors using the statistics Anderson-Darling (A-D) and P-value. The results showed the normal distribution was the best. 2. Calculations of descriptive statistical for the mean annual, mean maximum and mean minimum temperatures. The results showed very little experimental errors. 3. Constructing normal probability plotting positions to calculate return periods and probabilities of occurrence. 4. Construction of time-series analysis and its subjectivist validation, to assess annual temperature trends. The results showed upward trends for the mean annual, mean maximum and mean minimum temperatures. 5. Establishing a reliable database temperature framework for Florida State, to be used by researchers in meteorology, environmental engineering, hydrology, civil engineering, agriculture, etc.

DOI: https://doi.org/10.54167/tch.v11i3.95

Citas

Intergovernmental Panel on Climate Change. 2013. https://tinyurl.com/44w8xwkm

Quevedo, H. & Domínguez, A. 2013. Aplicaciones de Probabilidad y Estadística a Problemas de Hidrología. El Cambio Climático y sus Efectos en los Recursos Hidrológicos. (1st ed.) Editorial Académica Española. ISBN 3659085340, 9783659085345.

Quevedo, H. A., A. López, & I. Alvarado. 2014. Design of an innovative probability plotting position for precipitation data of El Paso, County, Texas, U. S.A. International Journal of Applied Science and Technology 4(3):85-93. https://www.ijastnet.com/journals/Vol_4_No_3_May_2014/11.pdf

World Meteorological Organization. 2016. https://public.wmo.int/en

Remote Sensing Systems. 2015. http://www.remss.com/measurements/upper-air-temperature.

Union of Concerned Scientists. 2015. Confronting the realities of climate change. The consequences of global warming are already here. Union of Concerned Scientist.

U. S. Climate data. 2016. http://www.usclimatedata.com/climate/florida/united-states/3179

Publicado
2017-09-01
Cómo citar
Quevedo Urías, H., Vázquez Gálvez, F. A., Esparza, E., Ibáñez, Óscar, & De la Cruz, S. T. (2017). Statistical model for the analysis of temperature: case study the 1895 - 2014 serie for Florida state: Modelo para el análisis de valores de temperatura: caso de estudio serie 1895-2014 del estado de Florida, EUA. TECNOCIENCIA Chihuahua, 11(3), 155-166. https://doi.org/10.54167/tch.v11i3.95
Sección
Medio Ambiente y Desarrollo Sustentable