Juan Ruiz
Juan Ruiz
CIMA-UMI-IFAECI, Department of Atmospheric and Oceanic Sciences
Verified email at cima.fcen.uba.ar
Cited by
Cited by
WRF model sensitivity to choice of parameterization over South America: validation against surface variables
JJ Ruiz, C Saulo, J Nogués-Paegle
Monthly weather review 138 (8), 3342-3355, 2010
Estimating model parameters with ensemble-based data assimilation: A review
JJ Ruiz, M Pulido, T Miyoshi
Journal of the Meteorological Society of Japan. Ser. II 91 (2), 79-99, 2013
Synergism between the low-level jet and organized convection at its exit region
C Saulo, J Ruiz, YG Skabar
Monthly Weather Review 135 (4), 1310-1326, 2007
“Big data assimilation” revolutionizing severe weather prediction
T Miyoshi, M Kunii, J Ruiz, GY Lien, S Satoh, T Ushio, K Bessho, H Seko, ...
Bulletin of the American Meteorological Society 97 (8), 1347-1354, 2016
“Big data assimilation” toward post-petascale severe weather prediction: An overview and progress
T Miyoshi, GY Lien, S Satoh, T Ushio, K Bessho, H Tomita, S Nishizawa, ...
Proceedings of the IEEE 104 (11), 2155-2179, 2016
DADA: data assimilation for the detection and attribution of weather and climate-related events
A Hannart, A Carrassi, M Bocquet, M Ghil, P Naveau, M Pulido, J Ruiz, ...
Climatic Change 136 (2), 155-174, 2016
Precipitation nowcasting with three-dimensional space–time extrapolation of dense and frequent phased-array weather radar observations
S Otsuka, G Tuerhong, R Kikuchi, Y Kitano, Y Taniguchi, JJ Ruiz, S Satoh, ...
Weather and Forecasting 31 (1), 329-340, 2016
Combining analog method and ensemble data assimilation: application to the Lorenz-63 chaotic system
P Tandeo, P Ailliot, J Ruiz, A Hannart, B Chapron, A Cuzol, V Monbet, ...
Machine learning and data mining approaches to climate science, 3-12, 2015
Visual analysis of spatio‐temporal data: Applications in weather forecasting
A Diehl, L Pelorosso, C Delrieux, C Saulo, J Ruiz, ME Gröller, S Bruckner
Computer Graphics Forum 34 (3), 381-390, 2015
Comparison of methods used to generate probabilistic quantitative precipitation forecasts over South America
J Ruiz, C Saulo, E Kalnay
Weather and Forecasting 24 (1), 319-336, 2009
Parameter estimation using ensemble-based data assimilation in the presence of model error
J Ruiz, M Pulido
Monthly Weather Review 143 (5), 1568-1582, 2015
Land–atmosphere interactions during a northwestern Argentina low event
C Saulo, L Ferreira, J Nogués-Paegle, M Seluchi, J Ruiz
Monthly Weather Review 138 (7), 2481-2498, 2010
How sensitive are probabilistic precipitation forecasts to the choice of calibration algorithms and the ensemble generation method? Part I: Sensitivity to calibration methods
JJ Ruiz, C Saulo
Meteorological Applications 19 (3), 302-313, 2012
El sistema de pronóstico experimental del Centro de Investigaciones del Mar y la Atmósfera
C Saulo, S Cardazzo, J Ruiz, C Campetella, A Rolla
Meteorologica 33 (1-2), 83-97, 2008
A convective‐scale 1,000‐member ensemble simulation and potential applications
T Necker, S Geiss, M Weissmann, J Ruiz, T Miyoshi, GY Lien
Quarterly Journal of the Royal Meteorological Society 146 (728), 1423-1442, 2020
Albero: A visual analytics approach for probabilistic weather forecasting
A Diehl, L Pelorosso, C Delrieux, K Matković, J Ruiz, ME Gröller, ...
Computer Graphics Forum 36 (7), 135-144, 2017
A quality control algorithm for the Osaka phased array weather radar
JJ Ruiz, T Miyoshi, S Satoh, T Ushio
Sola 11, 48-52, 2015
Evaluación de diferentes metodologías para la calibración de las estimaciones de precipitación CMORPH sobre Sudamérica
JJ Ruiz
Revista Brasileira de Meteorologia 24 (4), 473-488, 2009
Modeling studies related to SALLJEX
J Paegle, T Ambrizzi, H Berbery, C Campetella, R Garreaud, D Herdies, ...
Clivar Exchanges 29, 9-11, 2004
The analog ensemble kalman filter and smoother
P Tandeo, P Ailliot, R Fablet, J Ruiz, F Rousseau, B Chapron
CI 2014: 4th International Workshop on Climate Informatics, 2014
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