Resumo

ROURA-PEREZ, Pedro; ARENAS-SANCHEZ, José Carlos; SISTACHS-VEGA, Vivian  e  DIAZ-SISTACHS, Dalia. TrendSoft: Software to analyze turning points and tendencies on climate variables. Rev. Cubana Met. [online]. 2020, vol.26, n.3  Epub 01-Set-2020. ISSN 2664-0880.

Taking into account the evidence of global scale climate change, the analysis of climate variation tendencies, have become a topic of great interest for most countries in the world. The experts on such topics, have pointed out that to evidence the climate change existence is necessary to analyze the climate variable tendencies, considering different time and space scales. It is important for the Meteorology Institute to analyze the tendency of climate variables that is the main razon to develop a software with the goal to determine the existence or not of a tendency and turning point of meteorological variables, using non parametric tests. For the serial correlation test we used Wald-Wolfowitz test, and the Spearman, Kendall-Mann and Pettitt correlation test for the tendency and turning point. The computational tool is a web application named TrendSoft.exe it was developed using Angular 7 for the user frontend portion and ASP.NET Core 2.1 to develop the backend API, it was also used Electron to make a pack this web application into a desktop application. We also describe a methodology to evaluate the sensitivity of the analysis of tendencies on different periods of meteorological variables. Using the by 1.2software, we can observe that, on the meteorological station of Casablanca during 1988 - 2018, the superficial temperature of the air has increased on 1.2°C. On the monthly scale we could not determine the existence of tendency or location of any turning point, meanwhile the annual scale it was determined by the existence of tendency at 2.6% and the location off a turning point at 4.5% on the year 2012.

Palavras-chave : tendency; turning point; non-parametric tests; software; mean temperature.

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