## 3 Materials and Methods
### Feature of the Database  
The primary analyses were performed with emphasis on the monthly interpretation of the meteorological data of the state of Minas Gerais. The filters for choosing the data are available as follows:  
-State: MG.  
-Attributes: Predominant Wind Direction, Average Wind Speed, Maximum Average Wind Speed, Tar Evaporation, BH Potential Evapotranspiration, BH Real Evapotranspiration, Total Sunstroke, Average Cloudiness, Number of Days with Precipitation, Total Precipitation, Mean Sea Level Atm Pressure (mbar), Mean Atm Pressure (mbar), Mean Maximum Temp (\({}^{\circ}\)C), Mean Compensated Temp (\({}^{\circ}\)C), Mean Maximum Temp (\({}^{\circ}\)C), Mean Relative Humidity, and Average Visibility.  
In order to be able toaccess the data and perform the appropriate consultations, it is necessary to make a registration with personal information.  
The data resulting from the attributes selection are correlated to all cities in the state of Minas Gerais that have data collection stations (49 stations).  
To determine meteorological factors in the Minas Gerais, we highlight the station that collects data from the most relevant region of the state, the capital Belo Horizonte. This is because the city addressesa region of 7-10 municipalities relevant to the Minas Gerais economy, in addition to having three of the main dams that store drinking water for the consumption of a significant portion of citizens of the state (Electronic address for monitoring the reservoir levels of water in the metropolitan region of Belo Horizonte: [[http://www.copasa.com.br/wps/portal/internet/abastecimento-de-agua/nirel-dos-reservoirations](http://www.copasa.com.br/wps/portal/internet/abastecimento-de-agua/nirel-dos-reservoirations)]([http://www.copasa.com.br/wps/portal/internet/abastecimento-de-agua/nirel-dos-reservoirations](http://www.copasa.com.br/wps/portal/internet/abastecimento-de-agua/nirel-dos-reservoirations))). Table 1 presents the relevant data from the station where the data were collected.  
The initial results selection process sought to perform an analysis of missing information in the data provided. Therefore, all dimensions that had incomplete data were discarded in the construction of the database. All dimensions that have data collected for the months analyzed were the target of this research. Table 2 summarizes the data resulting from this evaluation process; where applicable, the standard deviation is given in parentheses.  
Figures 14 and 15 show the organization of the database after selecting records that did not meet the initial criteria. In summary, there are complete records on the climate aspects of the city of Belo Horizonte from January 2000 to April 2019.  
\begin{table}
\begin{tabular}{l c} \hline \hline
**Station: Belo Horizonte—MG (OMM: 83587)** & **Value** \\ \hline
**Latitude (degrees):** & \(-\)19.93 \\
**Longitude (degrees):** & \(-\)43.93 \\
**Elevation (meters):** & 915.00 \\
**Start of operation:** & 03/03/1910 \\
**Requested period of data:** & 01/01/2000 to 04/01/2019 \\ \hline \hline \end{tabular}
\end{table}
Table 1: Data station information.  
\begin{table}
\begin{tabular}{l c} \hline \hline
**Station: Belo Horizonte—MG** & **Range or Average** \\ \hline
**Mount** & 1 to 12 \\
**Year** & 2000 to 2019 \\
**Wind Direction** & 9.128 (5.324) \\
**Average Wind Speed** & 1.458 (0.314) \\
**Total Insolation** & 202.438 (40.407) \\
**Average Cloudiness** & 4.862 (1.705) \\
**Mean Pressure** & 913.511 (2.251) \\
**Mean Maximum Temperature** & 27.463 (1.819) \\
**Mean Compensated Temperature** & 22.166 (1.784) \\
**Mean Minimum Temperature** & 18.138 (1.933) \\
**Mean Relative Humidity** & 62.429 (7.49) \\ \hline \hline \end{tabular}
\end{table}
Table 2: Data Station Features and values.