Methodology for forecasting precipitation related to El Niño when historical meteorological data are incomplete
The interactions between the ocean and the atmosphere produce various climatic phenomena, such as the El Niño-Southern Oscillation (ENSO), that influence hydrological systems. This study serves as a basis for water resource management and planning in reservoirs and hydroelectric generation, in both...
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| Format: | Article |
| Language: | English |
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Universidad de Antioquia
2024-12-01
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| Series: | Revista Facultad de Ingeniería Universidad de Antioquia |
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| Online Access: | https://revistas.udea.edu.co/index.php/ingenieria/article/view/354703 |
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| author | María Felicia Jiménez-Lavie Cecilia Martín-del-Campo José Luis Lezama-Campos Edgar Gerardo Mendoza-Baldwin Rodolfo Silva-Casarín |
| author_facet | María Felicia Jiménez-Lavie Cecilia Martín-del-Campo José Luis Lezama-Campos Edgar Gerardo Mendoza-Baldwin Rodolfo Silva-Casarín |
| author_sort | María Felicia Jiménez-Lavie |
| collection | DOAJ |
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The interactions between the ocean and the atmosphere produce various climatic phenomena, such as the El Niño-Southern Oscillation (ENSO), that influence hydrological systems. This study serves as a basis for water resource management and planning in reservoirs and hydroelectric generation, in both the short and long term. A methodology is proposed to study the potential influence of extreme phases of ENSO on the amount of monthly and seasonal precipitation in areas where the weather stations do not have a complete historical data record. A case study is presented of the seasonal precipitation forecast for the largest water reservoir in Mexico. Data from 18 weather stations in the hydrological sub-region Grijalva-La Concordia, in the state of Chiapas, were examined, the highest on the river course of the rainwater catchment dam of the Grijalva Hydroelectric Complex, the most important complex of its kind in Mexico. From the results it is expected that climate change will bring more frequent El Niño phases. The proposed methodology has been validated, making it an effective tool to evaluate the effects of ENSO on precipitation. The methodology is applicable to other regions, particularly in developing countries where historical information is often incomplete.
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| format | Article |
| id | doaj-art-3c69f02210e94c91a7dbc8d2612f01fc |
| institution | Kabale University |
| issn | 0120-6230 2422-2844 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Universidad de Antioquia |
| record_format | Article |
| series | Revista Facultad de Ingeniería Universidad de Antioquia |
| spelling | doaj-art-3c69f02210e94c91a7dbc8d2612f01fc2025-01-17T03:43:47ZengUniversidad de AntioquiaRevista Facultad de Ingeniería Universidad de Antioquia0120-62302422-28442024-12-0110.17533/udea.redin.20241250Methodology for forecasting precipitation related to El Niño when historical meteorological data are incompleteMaría Felicia Jiménez-Lavie0Cecilia Martín-del-Campo1José Luis Lezama-Campos2Edgar Gerardo Mendoza-Baldwin3Rodolfo Silva-Casarín4Universidad Nacional Autónoma de MéxicoUniversidad Nacional Autónoma de MéxicoUniversidad Nacional Autónoma de MéxicoUniversidad Nacional Autónoma de MéxicoUniversidad Nacional Autónoma de México The interactions between the ocean and the atmosphere produce various climatic phenomena, such as the El Niño-Southern Oscillation (ENSO), that influence hydrological systems. This study serves as a basis for water resource management and planning in reservoirs and hydroelectric generation, in both the short and long term. A methodology is proposed to study the potential influence of extreme phases of ENSO on the amount of monthly and seasonal precipitation in areas where the weather stations do not have a complete historical data record. A case study is presented of the seasonal precipitation forecast for the largest water reservoir in Mexico. Data from 18 weather stations in the hydrological sub-region Grijalva-La Concordia, in the state of Chiapas, were examined, the highest on the river course of the rainwater catchment dam of the Grijalva Hydroelectric Complex, the most important complex of its kind in Mexico. From the results it is expected that climate change will bring more frequent El Niño phases. The proposed methodology has been validated, making it an effective tool to evaluate the effects of ENSO on precipitation. The methodology is applicable to other regions, particularly in developing countries where historical information is often incomplete. https://revistas.udea.edu.co/index.php/ingenieria/article/view/354703ENSO phasesseasonal precipitation forecastrainfall anomalyprecipitation patterns in Mexicothe influence of ENSO |
| spellingShingle | María Felicia Jiménez-Lavie Cecilia Martín-del-Campo José Luis Lezama-Campos Edgar Gerardo Mendoza-Baldwin Rodolfo Silva-Casarín Methodology for forecasting precipitation related to El Niño when historical meteorological data are incomplete Revista Facultad de Ingeniería Universidad de Antioquia ENSO phases seasonal precipitation forecast rainfall anomaly precipitation patterns in Mexico the influence of ENSO |
| title | Methodology for forecasting precipitation related to El Niño when historical meteorological data are incomplete |
| title_full | Methodology for forecasting precipitation related to El Niño when historical meteorological data are incomplete |
| title_fullStr | Methodology for forecasting precipitation related to El Niño when historical meteorological data are incomplete |
| title_full_unstemmed | Methodology for forecasting precipitation related to El Niño when historical meteorological data are incomplete |
| title_short | Methodology for forecasting precipitation related to El Niño when historical meteorological data are incomplete |
| title_sort | methodology for forecasting precipitation related to el nino when historical meteorological data are incomplete |
| topic | ENSO phases seasonal precipitation forecast rainfall anomaly precipitation patterns in Mexico the influence of ENSO |
| url | https://revistas.udea.edu.co/index.php/ingenieria/article/view/354703 |
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