Contribuciones desde la Geodesia al estudio de tormentas severas
Keywords:
ZTD, GNSS, SIRGAS, vapor de agua, tormentasAbstract
El retardo cenital troposférico en la señal GNSS de las estaciones continuas es una medida indirecta del contenido de vapor de agua integrado sobre la vertical del sitio donde esta se encuentra emplazada. Por consiguiente, desde el GNSS se implementa una nueva técnica para monitorear el vapor de agua atmosférico. En América se cuenta con una serie de tiempo del ZTD SIR de 10 años (2014 a la actualidad), en más de 600 sitios, considerando todo el historial de estaciones GNSS que han integrado SIRGAS-CON (activas, inactivas y removidas). Dichos parámetros resultan una contribución al conocimiento y monitoreo de la variable atmosférica IWV de aplicación a la climatologı́a. Con el objeto de contribuir a la meteorologı́a, es necesario disponer de los parámetros troposféricos con una latencia de 90 minutos a un máximo de 24h. Frente a ese desafı́o, se aplicaron algunas técnicas de estimación del ZTD en sitios GNSS cuyas observaciones están disponibles online o bien que registran archivos cada 2h. En este trabajo se expone el análisis de variabilidad, temporal y espacial, del ZTD, sobre la región central de Argentina, para un intervalo de tiempo entre el 10 y el 23 de diciembre del 2023, perı́odo en el cual se desarrollaron dos eventos extremos: una tormenta severa en Bahı́a Blanca y un viento zonda intenso en Mendoza, ambos el 16 de diciembre del 2023.
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Camisay, M., Rivera, J., Mateo, M., Morichetti, P., & Mackern, M. (2020). Estimation of integrated water vapor derived from Global Navigation Satellite System observations over Central-Western Argentina (2015–2018). validation and usefulness for the understanding of regional precipitation events. Journal of Atmospheric and Solar-Terrestrial Physics, 197, 105143. https://doi.org/10.1016/j.jastp.2019.105143
Dousa, J. & Vaclavovic, P. (2014). Real-time zenith tropospheric delays in support of numerical weather prediction applications. Advances in Space Research, 53, 1347–1358. https://doi.org/10.1016/j.asr.2014.02.021
Mackern, M., Mateo, M., Camisay, M., & Morichetti, P. (2020). Tropospheric products from high-level GNSS processing in Latin America. Beyond 100: The Next Century in Geodesy, volumen 152 of International Association of Geodesy Symposia. Springer, Cham. https://doi.org/10.1007/1345_2020_121
Mackern, M., Mateo, M., Camisay, M., & Rosell, P. (2022). Quality control of SIRGAS ZTD products. Journal of Geodetic Science, 12, 1–13. https://doi.org/10.1515/jogs-2022-0136
Rosell, P. A., Mackern, M. V., Rivera, J. A., & Eulliades, P. (2023). 10-year assessment of GNSS integrated water vapour in the SIRGAS network. Journal of South American Earth Sciences, 130, 104539. https://doi.org/10.1016/j.jsames.2023.104539
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Copyright (c) 2025 Maria Virginia Mackern, Patricia A. Rosell, María Laura Mateo, María Fernanda Camisay
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