Francisco Doblas-Reyes

According to our database, Francisco Doblas-Reyes authored at least 8 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Quality Management Framework for Climate Datasets.

Carlo Lacagnina, Francisco Doblas-Reyes, Gilles Larnicol, Carlo Buontempo, André Obregón, Montserrat Costa-Surós, Daniel San Martín, Pierre-Antoine Bretonnière, Suraj D. Polade, Vanya Romanova, Davide Putero, Federico Serva, Alba Llabrés-Brustenga, Antonio Pérez, Davide Cavaliere, Olivier Membrive, Christian Steger, Núria Pérez-Zanón, Paolo Cristofanelli, Fabio Madonna, Marco Rosoldi, Aku Riihelä, Markel García Díez

Data Sci. J., 2022

2019

Finding, analysing and solving MPI communication bottlenecks in Earth System models.

Oriol Tintó Prims, Miguel Castrillo, Mario C. Acosta, Oriol Mula-Valls, Alicia Sanchez Lorente, Kim Serradell, Ana Cortés, Francisco J. Doblas-Reyes

J. Comput. Sci., 2019

Discriminating accurate results in nonlinear models.

Oriol Tintó Prims, Mario C. Acosta, Miguel Castrillo, Stella Valentina Paronuzzi Ticco, Kim Serradell, Ana Cortés, Francisco J. Doblas-Reyes

Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019

2018

An R package for climate forecast verification.

Nicolau Manubens, Louis-Philippe Caron, Alasdair Hunter, Omar Bellprat, Eleftheria Exarchou, Neven S. Fuckar, Javier Garcia-Serrano, François Massonnet, Martin Ménégoz, Valentina Sicardi, Lauriane Batté, Chloé Prodhomme, Verónica Torralba, Nicola Cortesi, Oriol Mula-Valls, Kim Serradell, Virginie Guemas, Francisco J. Doblas-Reyes

Environ. Model. Softw., 2018

2017

Optimizing domain decomposition in an ocean model: the case of NEMO.

Oriol Tintó, Mario C. Acosta, Miguel Castrillo, Ana Cortés, Alicia Sanchez Lorente, Kim Serradell, Francisco J. Doblas-Reyes

Proceedings of the International Conference on Computational Science, 2017

2016

Seamless management of ensemble climate prediction experiments on HPC platforms.

Domingo Manubens-Gil, Javier Vegas-Regidor, Chloé Prodhomme, Oriol Mula-Valls, Francisco J. Doblas-Reyes

Proceedings of the International Conference on High Performance Computing & Simulation, 2016

2014

Case Study in Large Scale Climate Simulations: Optimizing the Speedup/Efficiency Balance in Supercomputing Environments.

Muhammad Asif, Andrés Cencerrado, Oriol Mula-Valls, Domingo Manubens, Ana Cortés, Francisco Doblas-Reyes

Proceedings of the 2014 14th International Conference on Computational Science and Its Applications, Guimaraes, Portugal, June 30, 2014

Impact of I/O and Data Management in Ensemble Large Scale Climate Forecasting Using EC-Earth3.

Muhammad Asif, Andrés Cencerrado, Oriol Mula-Valls, Domingo Manubens, Francisco Doblas-Reyes, Ana Cortés

Proceedings of the International Conference on Computational Science, 2014