Medio siglo del Centro Europeo de Predicción a Plazo Medio (ECMWF) Parte 2: Principales contribuciones al avance de la predicción numérica del tiempo

Autores/as

  • Ernesto Rodríguez Camino

DOI:

https://doi.org/10.30859/ameTyCn89p16

Citas

Alexe, M. et al., 2024. GraphDOP: Towards skilful data-driven medium-range weather forecasts learnt and initialised directly from observations. arXiv:2412.15687 [physics.ao-ph]. https://doi.org/10.48550/arXiv.2412.15687

Balsamo, G. et al., 2020: The ERA5 global reanalysis. Quarterly Journal of the Royal Meteorological Society, 146(730), 1999–2049. https://doi.org/10.1002/qj.3803

Bauer, P., Thorpe, A., Brunet, G., 2015. The quiet revolution of numerical weather prediction. Nature, 525(7567), 47-55. https://doi.org/10.1038/nature14956

Bauer, P., 2024: What if? Numerical weather prediction at the crossroads. Journal of the European Meteorological Society, 1. https://doi.org/10.1016/j.jemets.2024.100002

Buontempo, C. et al., 2022: The Copernicus Climate Change Service: Climate Science in Action. Bull. Amer. Meteor. Soc., 103(12), E2669–E2687. https://doi.org/10.1175/ BAMS-D-21-0315.1

Buizza, R. and Richardson, D., 2017: 25 years of ensemble forecasting at ECMWF, ECMWF newsletter No.number 153, pag 20-31, https://doi.org/10.21957/bv418o

Chantry, M., Ben Bouallegue, Z., Magnusson, L., Maier-Gerber, M., Dramsch, J., 2023. The rise of machine learning in weather forecasting. ECMWF Science Blog, https:// www.ecmwf.int/en/about/media-centre/science-blog/2023/rise-machine-learningweather-forecasting

Courtier P., E. Andersson, W. Heckley, J. Pailleux, D. Vasiljevic, M. Hamrud, A. Hollingsworth, F. Rabier and M. Fisher, 1998: The ECMWF implementation of three-dimensional variational assimilation (3D-Var). I: Formulation.Q. J. R. Meteorol. Soc., Vol 124, No. 550, pp 1783, https://doi.org/10.1002/qj.49712455002

ECMWF, 2017: 20 years of 4D-Var: better forecasts through a better use of observations. Disponible en https://www.ecmwf.int/en/about/media-centre/news/2017/20-years-4d-var-better-forecasts-throughbetter-use-observations

ECMWF, 2022: 25 years of 4D-Var: how machine learning can improve the use of observations. Disponible en https://www.ecmwf.int/en/about/media-centre/news/2022/25-years-4d-var-how-machinelearning-can-improve-use-observations

ECMWF, 2022: 30 years of ensemble forecasting at ECMWF. Disponible en https://www.ecmwf.int/en/about/media-centre/focus/2022/30-years-ensemble-forecastingecmwf#:~:text=ECMWF%20was%20one%20of%20the,a%20range%20of%20environmental%20services

Keisler, R., 2022: Forecasting Global Weather with Graph Neural Networks.arXiv:2202.07575 [physics.ao-ph]. https://doi.org/10.48550/arXiv.2202.07575

Lang, S. et al. 2024. AIFS -- ECMWF’s data-driven forecasting system. ar-Xiv:2406.01465 [physics.ao-ph]. https://doi.org/10.48550/arXiv.2406.01465

Molteni, F., R. Buizza, T.N. Palmer, T. Petroliagis,1996: The ECMWF ensemble prediction system: methodology and validation. Q. J. R.. Meteorol. Soc., 122, pp. 73-119, https://doi.org/10.1002/qj.49712252905

Peuch, V.-H. et al., 2022: The Copernicus Atmosphere Monitoring Service: From Research to Operations. Bull. Amer. Meteor. Soc., 103 (12), E2650–E2668. https://doi.org/10.1175/BAMS-D-21-0314.1

Rabier, F., H. Järvinen, E. Klinker, J.-F. Mahfouf, A. Simmons, 2000: The ECMWF operational implementation of four-dimensional variational assimilation. I: Experimental results with simplified physics. Q. J. R. Meteorol. Soc., 126, 1143-1170, https://doi.org/10.1002/qj.49712656415

Talagrand , O. y Courtier , P., 1987: Variational assimilation of meteorological observations with the adjoint vorticity equation- Part I. Theory. Q. J. R. Meteorol. Soc. 113 , 1311 – 1328, https://doi.org/10.1002/qj.49711347812

Descargas

Publicado

30-07-2025

Cómo citar

Rodríguez Camino, E. (2025). Medio siglo del Centro Europeo de Predicción a Plazo Medio (ECMWF) Parte 2: Principales contribuciones al avance de la predicción numérica del tiempo. Revista Tiempo Y Clima, 5(89). https://doi.org/10.30859/ameTyCn89p16

Número

Sección

Artículos

Artículos más leídos del mismo autor/a

<< < 2 3 4 5 6 7 8 9 10 11 > >>