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| Natura: | Artículo científico |
| Lingua: | en |
| Pubblicazione: |
Instituto de Meteorología de la República de Cuba
2024
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| Accesso online: | https://www.redalyc.org/articulo.oa?id=701977977007 https://www.redalyc.org/journal/7019/701977977007/ https://www.redalyc.org/journal/7019/701977977007/html/ https://www.redalyc.org/journal/7019/701977977007/701977977007.epub https://www.redalyc.org/journal/7019/701977977007/movil |
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| _version_ | 1866817886787469312 |
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| author | Alejandro Rodríguez Pupo |
| author_facet | Alejandro Rodríguez Pupo |
| contents | Assimilation of satellite observations in support of hydrocarbon drift forecasting in the Cuban EEZ Alejandro Rodríguez Pupo Alexander Lobaina Lao Dailín Reyes Perdomo Paola Nicolosi Melany Abreu del Sol Cosimo Garbellano Filippo Daffinà Osvaldo E. Pérez López Frank E. Ortega Pereira Melissa Abreu del Sol Reinaldo Casals Taylor Amilcar E. Calzada Estrada Física, Astronomía y Matemáticas SEonSE PETROMAR SAR imagery marine pollution The initialization of the runs of the numerical model of lagrangian approach PETROMAR-3D, from SAR images, is shown. With this new feature, the model is prepared to give operational response to an oil pollution event in the seas around Cuba. The oil slick polygon outputs of the SEonSE Engine and SNAP-ESA satellite information processing tools were used, developing new functions and Python libraries in the PETROMAR-3D software. With this result, a semi-automatic oil slick surveillance and monitoring service was developed in the seas around Cuba, with the computer tools of satellite data processing and the PETROMAR-3D Lagrangian oil spill model. With this service, users receive the information through a first email from the moment the slick is detected, and then receive another one with the oil drift modeling map for 72 hours. For this purpose, a script was developed that runs automatically through a scheduled task in the operating system, and handles all the software applications of the system designed with new Python functions and libraries. 2024 artículo científico 2664-0880 https://www.redalyc.org/articulo.oa?id=701977977007 https://www.redalyc.org/journal/7019/701977977007/ https://www.redalyc.org/journal/7019/701977977007/html/ https://www.redalyc.org/journal/7019/701977977007/701977977007.epub https://www.redalyc.org/journal/7019/701977977007/movil en http://www.redalyc.org/revista.oa?id=7019 Revista cubana de meteorología application/pdf Instituto de Meteorología de la República de Cuba Revista cubana de meteorología (Cuba) Vol.30 |
| format | Artículo científico |
| id | redalyc_701977977007 |
| language | en |
| publishDate | 2024 |
| publisher | Instituto de Meteorología de la República de Cuba |
| spellingShingle | Assimilation of satellite observations in support of hydrocarbon drift forecasting in the Cuban EEZ Alejandro Rodríguez Pupo Física, Astronomía y Matemáticas SEonSE PETROMAR SAR imagery marine pollution Assimilation of satellite observations in support of hydrocarbon drift forecasting in the Cuban EEZ Alejandro Rodríguez Pupo Alexander Lobaina Lao Dailín Reyes Perdomo Paola Nicolosi Melany Abreu del Sol Cosimo Garbellano Filippo Daffinà Osvaldo E. Pérez López Frank E. Ortega Pereira Melissa Abreu del Sol Reinaldo Casals Taylor Amilcar E. Calzada Estrada Física, Astronomía y Matemáticas SEonSE PETROMAR SAR imagery marine pollution The initialization of the runs of the numerical model of lagrangian approach PETROMAR-3D, from SAR images, is shown. With this new feature, the model is prepared to give operational response to an oil pollution event in the seas around Cuba. The oil slick polygon outputs of the SEonSE Engine and SNAP-ESA satellite information processing tools were used, developing new functions and Python libraries in the PETROMAR-3D software. With this result, a semi-automatic oil slick surveillance and monitoring service was developed in the seas around Cuba, with the computer tools of satellite data processing and the PETROMAR-3D Lagrangian oil spill model. With this service, users receive the information through a first email from the moment the slick is detected, and then receive another one with the oil drift modeling map for 72 hours. For this purpose, a script was developed that runs automatically through a scheduled task in the operating system, and handles all the software applications of the system designed with new Python functions and libraries. 2024 artículo científico 2664-0880 https://www.redalyc.org/articulo.oa?id=701977977007 https://www.redalyc.org/journal/7019/701977977007/ https://www.redalyc.org/journal/7019/701977977007/html/ https://www.redalyc.org/journal/7019/701977977007/701977977007.epub https://www.redalyc.org/journal/7019/701977977007/movil en http://www.redalyc.org/revista.oa?id=7019 Revista cubana de meteorología application/pdf Instituto de Meteorología de la República de Cuba Revista cubana de meteorología (Cuba) Vol.30 |
| title | Assimilation of satellite observations in support of hydrocarbon drift forecasting in the Cuban EEZ |
| topic | Física, Astronomía y Matemáticas SEonSE PETROMAR SAR imagery marine pollution |
| url | https://www.redalyc.org/articulo.oa?id=701977977007 https://www.redalyc.org/journal/7019/701977977007/ https://www.redalyc.org/journal/7019/701977977007/html/ https://www.redalyc.org/journal/7019/701977977007/701977977007.epub https://www.redalyc.org/journal/7019/701977977007/movil |