Ricardo Oses Rodriguez* and Rigoberto Fimia Duarte
Volume2-Issue12
Dates: Received: 2021-12-18 | Accepted: 2021-12-28 | Published: 2021-12-29
Pages: 1304-1308
Abstract
The objective of this work is to model the extreme temperature climatic records of Villa Clara Cuba and see if there is a trend in them, in addition the variable date on which they occurred was modeled, with the help of the Regressive Objective Regression (ROR). A database from 1966 to 2020 of the 4 weather stations with the account of the province of Villa Clara is used. The explained variance of the models is 100% for the maximum temperature and 99.8 for the minimum with errors of 0.58 and 1.4ºC. You can estimate the graphs for the maximum temperature as for the minimum with the predicted values and the errors that the model commits. The trend for the date of the maximum trend is negative while for the minimum it is positive. The records depend on the temperature returned in 1 month (LAG1T) and the temperature returned in 12 months (LAG12T), both for the maximum TX and for the minimum TN, as well as the station value. The correlations between the actual and predicted value for the maximum and minimum temperature records and for the date models are high, greater than 90% and 99% variable.
FullText HTML
FullText PDF
DOI: 10.37871/jbres1387
Certificate of Publication
Copyright
© 2021 Rodriguez RO, et al.. Distributed under Creative Commons CC-BY 4.0 
How to cite this article
Rodriguez O, Duarte RF. Modeling of Climatic Records for the Province of Villa Clara, Cuba. J Biomed Res Environ Sci. 2021 Dec 29; 2(12): 1304-1308. doi: 10.37871/jbres1387, Article ID: JBRES1387, Available at: https://www.jelsciences.com/articles/jbres1387.pdf
Subject area(s)
University/Institute
References
- IPCC, Summary for Policymakers (Summary for decision makers). Climate change 2007: Impacts, adaptation and vulnerability. Contibution of working group II to the fourth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, UK. 2007b:7-22. https://tinyurl.com/mtp85ayu
- IPCC, Summary for Policymakers. Climate Change 2007: Mitigation. Contibution of working group III to the fourth assessment report of the intergovernmental panel on climate change. Cambridge University Press: Cambridge, United Kingdom and New York, NY, USA; 2007a. p. 24. https://tinyurl.com/5c8mpjpc
- Llanes MT. Informativity and mean fields of the predictors for the rain forecast in three meteorological stations in Cuba. Revista Cubana de Meteorología. 2010;16(1).
- Ballester M. Statistical model for the forecast of cyclonic activity in the Atlantic Ocean, the Gulf of Mexico and the Caribbean Sea. Revista Cubana de Meteorología. 2004;11(1).
- Ricardo OR, Meylin OM, Nancy RC, Rigoberto FD, José I. Prognosis for hurricane irma through regression objective regression and its impact on the vector populations at the meteorological station of caibarién, Villa Clara, Cuba. Neotropical Parasitology. 2018;15(1):23-30. https://tinyurl.com/c7cz4wz3
