Correlación estadística de estaciones meteorológicas convencionales y automáticas durante el periodo 2014-2021.
Meteorological information is very useful for human development, but in recent years, the lack of observers has caused conventional stations (EMC) in Ecuador to decrease or have been replaced by automatic stations (EMA). The objective of this research work was to determine the relationship between t...
Saved in:
| Hovedforfatter: | |
|---|---|
| Andre forfattere: | |
| Format: | bachelorThesis |
| Sprog: | spa |
| Udgivet: |
2022
|
| Fag: | |
| Online adgang: | http://repositorio.utc.edu.ec/handle/27000/9720 |
| Tags: |
Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!
|
Tilføj Tag | Summary: | Meteorological information is very useful for human development, but in recent years, the lack of observers has caused conventional stations (EMC) in Ecuador to decrease or have been replaced by automatic stations (EMA). The objective of this research work was to determine the relationship between the temperature and rainfall variables in six meteorological stations located nationwide. Six EMC and EMA (M0026, M0031, M0103, M1036, M1208, M1233) located along the Ecuadorian coast and highlands, with a common period of eight years (2014-2021), were chosen for the study. The analysis included daily rainfall and temperature data, which were added and averaged, respectively, at 07:00, 13:00, and 19:00. The data provided by INAMHI was filtered, refined and ordered twice, eliminating erroneous transcription values. This meteorological information was evaluated by developing a script in Rstudio using statistical methods such as Pearson's correlation coefficient (CC), mean absolute error (MAE), root mean square error (RMSE) and relative bias (PBIAS). The technical specifications of the instruments of both types of stations were reviewed to rule out possible atypical mistakes due to failures in the instruments and equipment. The CC in rainfall is low in all seasons, while in temperature it is high in M0031 (0.73), M1036 (0.62) and M1208 (0.66) and low in M0026 (0.3), M0103 (0.36) and M1233 (0.06). The MAE of rainfall was high in all stations, while for temperature it was high in: M0026 (6.24), M1036 (3.21) and M1233 (8.45) and low in M031 (1.71), M0103 (2.8) and M1208 (2.34). The RMSE of rainfall was high in all stations, while in temperature it was high in M1233 (23.61) and low in M0026 (8.22), M0031 (2.44), M0103 (6.20), M1036 (4.78) and M1208 (3.6). The PBIAS indicates that the EMA overestimates rainfall in all seasons, while it overestimates temperature in M0031 (13.52), M0103 (18.12), M1036 (27.0) and M1208 (9.09), and underestimates M0026 (-21.63) and M1233. (-21.12). The good correlation of temperature in the stations M0031, M1036 and M1208, allows the use of the EMA as a secondary source of data, needing to adjust the sensors to avoid over or underestimation of data; while it is not possible in rainfall due to low correlation in all seasons. |
|---|