A Data-driven Model for Large Wildfire Behaviour Prediction in Europe

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Adapting Map Resolution to Accomplish Execution Time Constraints in Wind Field Calculation

An Adaptive System for Forest Fire Behavior Prediction

An asynchronous and iterative load balancing algorithm for discrete load model

Applying a Dynamic Data Driven Genetic Algorithm to Improve Forest Fire Spread Prediction

Applying domain decomposition to wind field calculation

Applying probability theory for the quality assessment of a wildfire spread prediction framework based on genetic algorithms

scientific article published on 25 December 2013

Applying vectorization of diagonal sparse matrix to accelerate wind field calculation

Between classical and ideal: enhancing wildland fire prediction using cluster computing

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Clustering and reassignment-based mapping strategy for message-passing architectures

Computational Steering Strategy to Calibrate Input Variables in a Dynamic Data Driven Genetic Algorithm for Forest Fire Spread Prediction

Core Allocation Policies on Multicore Platforms to Accelerate Forest Fire Spread Predictions

Coupled Dynamic Data-Driven Framework for Forest Fire Spread Prediction

Coupling Diagnostic and Prognostic Models to a Dynamic Data Driven Forest Fire Spread Prediction System

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Data Injection at Execution Time in Grid Environments Using Dynamic Data Driven Application System for Wildland Fire Spread Prediction

Determining map partitioning to minimize wind field uncertainty in forest fire propagation prediction

Dynamic Data-Driven Genetic Algorithm for forest fire spread prediction

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Effect of Wind Field Parallelization on Forest Fire Spread Prediction

Enhancing computational efficiency on forest fire forecasting by time-aware Genetic Algorithms

Enhancing multi-model forest fire spread prediction by exploiting multi-core parallelism

Enhancing wildland fire prediction on cluster systems applying evolutionary optimization techniques

Error Function Impact in Dynamic Data-driven Framework Applied to Forest Fire Spread Prediction

Evolutionary Optimisation Techniques to Estimate Input Parameters in Environmental Emergency Modelling

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Forest Fire Propagation Prediction Based on Overlapping DDDAS Forecasts

Genetic Algorithm Characterization for the Quality Assessment of Forest Fire Spread Prediction

Geostatistical analysis of Landsat-TM lossy compression images in a high-performance computing environment

Half-Duplex Dynamic Data Driven Application System for Forest Fire Spread Prediction

Hybrid application to accelerate wind field calculation

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

Improved Prediction Methods for Wildfires Using High Performance Computing: A Comparison

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Injecting Dynamic Real-Time Data into a DDDAS for Forest Fire Behavior Prediction

Introducing computational thinking, parallel programming and performance engineering in interdisciplinary studies

Knowledge-guided Genetic Algorithm for input parameter optimisation in environmental modelling

Large Forest Fire Spread Prediction: Data and Computational Science

scholarly article by Tomàs Artés et al published 2016 in Procedia Computer Science

On the Way of Applying Urgent Computing Solutions to Forest Fire Propagation Prediction

Parallel Multi-level Genetic Ensemble for Numerical Weather Prediction Enhancement

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Parallel ordinary kriging interpolation incorporating automatic variogram fitting

Parameter calibration framework for environmental emergency models

Real-time genetic spatial optimization to improve forest fire spread forecasting in high-performance computing environments

Reducing Data Uncertainty in Surface Meteorology Using Data Assimilation: A Comparison Study

scholarly article by A. Farguell published in January 2016

Relieving Uncertainty in Forest Fire Spread Prediction by Exploiting Multicore Architectures

Relieving the Effects of Uncertainty in Forest Fire Spread Prediction by Hybrid MPI-OpenMP Parallel Strategies

Response time assessment in forest fire spread simulation: An integrated methodology for efficient exploitation of available prediction time

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Scalability of a multi-physics system for forest fire spread prediction in multi-core platforms

Scheduling of parallel programs including dynamic loops

Spatial pattern alterations from JPEG2000 lossy compression of remote sensing images: massive variogram analysis in high performance computing

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Support for Urgent Computing Based on Resource Virtualization

Teaching Parallel Programming in Interdisciplinary Studies

Time aware genetic algorithm for forest fire propagation prediction: exploiting multi-core platforms

Towards a Dynamic Data Driven Wildfire Behavior Prediction System at European Level

scholarly article by Tomàs Artés et al published 2014 in Procedia Computer Science

Towards policies for data insertion in dynamic data driven application systems: a case study sudden changes in wildland fire

Wildland fire growth prediction method based on Multiple Overlapping Solution

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Wind Field Uncertainty in Forest Fire Propagation Prediction

Wind field parallelization based on Schwarz alternating domain decomposition method