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Large Forest Fire Spread Prediction: Data and Computational Science.

, , and . ICCS, volume 80 of Procedia Computer Science, page 909-918. Elsevier, (2016)

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Coupling Wind Dynamics into a DDDAS Forest Fire Propagation Prediction System., , , and . ICCS, volume 9 of Procedia Computer Science, page 1110-1118. Elsevier, (2012)Wildfire Spread Prediction and Assimilation for FARSITE Using Ensemble Kalman Filtering., , , and . ICCS, volume 80 of Procedia Computer Science, page 897-908. Elsevier, (2016)Forest Fire Propagation Prediction Based on Overlapping DDDAS Forecasts., , , , , , and . ICCS, volume 51 of Procedia Computer Science, page 1623-1632. Elsevier, (2015)Large Forest Fire Spread Prediction: Data and Computational Science., , and . ICCS, volume 80 of Procedia Computer Science, page 909-918. Elsevier, (2016)Core Allocation Policies on Multicore Platforms to Accelerate Forest Fire Spread Predictions., , , and . PPAM (2), volume 8385 of Lecture Notes in Computer Science, page 151-160. Springer, (2013)Error Function Impact in Dynamic Data-Driven Framework Applied to Forest Fire Spread Prediction., , , and . ICCS, volume 80 of Procedia Computer Science, page 418-427. Elsevier, (2016)Relieving the Effects of Uncertainty in Forest Fire Spread Prediction by Hybrid MPI-OpenMP Parallel Strategies., , , and . ICCS, volume 18 of Procedia Computer Science, page 2278-2287. Elsevier, (2013)A High Performance Computing Framework for Continental-Scale Forest Fire Spread Prediction., , , , and . ICCS, volume 108 of Procedia Computer Science, page 1712-1721. Elsevier, (2017)Towards a Dynamic Data Driven Wildfire Behavior Prediction System at European Level., , , , , , and . ICCS, volume 29 of Procedia Computer Science, page 1216-1226. Elsevier, (2014)Relieving Uncertainty in Forest Fire Spread Prediction by Exploiting Multicore Architectures., , , and . ICCS, volume 51 of Procedia Computer Science, page 1752-1761. Elsevier, (2015)