## Literature Review
### Extraction and Collection of Meteorological Data  
Meteorological data are collected to assist decision-making by administrative management to assess human, sustainability, economic, and environmental aspects linked to rainfall and climate change elements. Devices, sensors, and satellites to capture environmental reactions and allow the organization of data of several natures. Climate control agencies are responsible for collecting and storing data of various natures, such as satellite images, precipitation data, reservoir level, etc. In Brazil, the main entity responsible for controlling the meteorological aspects is the National Institute of Meteorology (Inmet) [[http://www.inmet.gov.br](http://www.inmet.gov.br)]([http://www.inmet.gov.br](http://www.inmet.gov.br)) and in the state of Minas Gerais stands out the control of water reservoirs for the Minas Gerais Basic Sanitation Company (COPASA) [[http://www.copasa.com.br/wps/portal/internet](http://www.copasa.com.br/wps/portal/internet)]([http://www.copasa.com.br/wps/portal/internet](http://www.copasa.com.br/wps/portal/internet)). Historical data from a state can help in understanding climate behavior to estimate historical series on rainfall, temperatures, and relative humidity. The represent the behavior of climatic aspects are presented in Figures 7-10 elements about average temperatures, humidity, evaporation, and precipitation, respectively, between 1931 and 1960, comparing them with the periods from 1961 to 1990, month by month. It is noticeable that some behaviors follow a trend in this assessment, but some changes due to external factors (such as global warming) altered historical behavior during the months evaluated. When evaluations of the average temperature (Figure 7) of the State of Minas Gerais was introduced, it is possible to identify peak temperatures in January and February. Similarly, the lowest average temperatures were obtained in June and July. Another factor to highlight is that the average temperature in the second evaluation period shows their gradual increase in the state of Minas Gerais. Figure 6: Brazilian temperatures in August 2019. Adapted from Inmet. In the graph (Figure 8) that expresses the humidity of this Brazilian state, there is no similar pattern between the two periods present in the figure. Through the months evaluated, the first phase of evaluation had higher humidity than the second period of analysis in three months (March, April, and December). Another factor to be highlighted is that the least humid months in this state of southeastern Brazil are the months of July, August, and September. On the other hand, the highest humidity is observed in the first month of the year. Figure 9 expresses the evaporation behavior present in Minas Gerais. In August and September, the highest evaporation rates were found in both periods. In addition, it is observed that, from  
Figure 8: Minas Gerais humidity: historical series. Adapted from Inmet. Figure 7: Minas Gerais temperatures: historical series. Adapted from Inmet. October, the indices decrease rapidly. In the second period analyzed, there is more excellent stability of evaporation rates, especially from March to June. In the analysis that begins in the 1930s, the measures obtained in the graphical analysis are lower for six months and equal for another two months when compared to the period ending in the 1990s. Finally, Figure 10 shows the average rainfall of Minas Gerais. Both periods exhibit remarkably similar behavior. The months of December and January stand out as the wettest periods. On the other hand, the central months of the year (from May to September) represent the periods with scarce rainfall. Figure 10: Minas Gerais precipitation: historical series. Adapted from Inmet. Figure 9: Minas Gerais evaporation: historical series. Adapted from Inmet. The collection of historical data allows us to identify behavioral changes and situations that may generate disturbances and specific adjustments in economic activities.