Outputs (19)

Par@Graph-a parallel toolbox for the construction and analysis of large complex climate networks (2015)
Journal Article

© 2015 Author(s). In this paper, we present Par@Graph, a software toolbox to reconstruct and analyze complex climate networks having a large number of nodes (up to at least 106) and edges (up to at least 1012). The key innovation is an efficient set... Read More about Par@Graph-a parallel toolbox for the construction and analysis of large complex climate networks.

The construction of complex networks from linear and nonlinear measures - Climate networks (2015)
Presentation / Conference Contribution

© The Authors. Published by Elsevier B.V. During the last decade the techniques of complex network analysis have found application in climate research. The main idea consists in embedding the characteristics of climate variables, e.g., temperature, p... Read More about The construction of complex networks from linear and nonlinear measures - Climate networks.

Parallel software tools for the construction and analysis of complex networks (2014)
Presentation / Conference Contribution

Parallel software package for the construction and analysis of complex networks (2013)
Presentation / Conference Contribution

In climate research, big and complex networks could be generated by the big climate data produced by high resolution climate models, and also observations. To analyze such complex networks, there are two main computational challenges concerning both... Read More about Parallel software package for the construction and analysis of complex networks.

Computational issues in complex network analysis (2013)
Presentation / Conference Contribution

Tuning G-ensemble to improve forecast skill in numerical weather prediction models (2012)
Book Chapter

The process of weather forecasting produced by numerical weather prediction (NWP) models is complex and not always accurate. Moreover, it is generally defined by its very nature as a process that has to deal with uncertainties. In previous works, a n... Read More about Tuning G-ensemble to improve forecast skill in numerical weather prediction models.

Parallel multi-level genetic ensemble for numerical weather prediction enhancement (2012)
Presentation / Conference Contribution

The need for reliable predictions in environmental modelling is well-known. Particularly, the predicted weather and meteorological information about the future atmospheric state is crucial and necessary for almost all other areas of environmental mod... Read More about Parallel multi-level genetic ensemble for numerical weather prediction enhancement.

Towards improving numerical weather predictions by evolutionary computing techniques (2012)
Presentation / Conference Contribution

Weather forecasting is complex and not always accurate, moreover, it is generally defined by its very nature as a process that has to deal with uncertainties. In a previous work, a new weather prediction scheme was presented, which uses evolutionary... Read More about Towards improving numerical weather predictions by evolutionary computing techniques.

Genetic ensemble (G-Ensemble) for meteorological prediction enhancement (2011)
Presentation / Conference Contribution

The need for reliable predictions in environmental modelling is long known. Particularly, the predicted weather and meteorological information about the future atmospheric state is crucial and necessary for almost all other areas of environmental mod... Read More about Genetic ensemble (G-Ensemble) for meteorological prediction enhancement.