Results 91 to 100 of about 5,381 (217)

Auto Tuning for OpenMP Dynamic Scheduling applied to FWI [PDF]

Because Full Waveform Inversion (FWI) works with a massive amount of data, its execution requires much time and computational resources, being restricted to large-scale computer systems such as supercomputers.
Xavier-de-Souza, Samuel, Fernandes, João B., Assis, Italo A. S., Barros, Tiago, da Silva, Felipe H. S., Sardina, Idalmis M.   +5 more
core  

Deep Learning Emulation of Multivariate Climate Indices: A Case Study of the Fire Weather Index in the Iberian Peninsula [PDF]

Natural Hazards and Earth System Sciences
The Fire Weather Index (FWI) is an essential multivariate climate index for assessing wildfire risk and the associated impacts of climate change, as it provides a quantitative measure of wildfire danger by integrating different critical near-surface fire-
Ó. Mirones, J. Bedia, J. Bedia, P. M. M. Soares, J. M. Gutiérrez, J. Baño-Medina, J. Baño-Medina   +6 more
doaj   +1 more source

Self-Organizing Map-Based Classification for Fire Weather Index in the Beijing–Tianjin–Hebei Region and Their Potential Causes

Atmosphere
Understanding the characteristics of wildfires in the Beijing–Tianjin–Hebei (BTH) region is crucial for improving the monitoring of local wildfire danger.
Maowei Wu, Chengpeng Zhang, Meijiao Li, Wupeng Du, Jianming Chen, Caishan Zhao   +5 more
doaj   +1 more source

From slope tomography to FWI: Is the conventional workflow viable in complex settings?

, 2020
International audienceUltra-long offset seabed acquisitions implemented with sparse array of ocean bottom nodes (OBN) are emerging as the goto strategy for velocity model building.
Sambolian, Serge, S. Sambolian, L. Combe, A. Ribodetti, S. Operto, Combe, Laure, Operto, Stéphane, Ribodetti, Alessandra   +7 more
core   +1 more source

Multiparameter elastic FWI of 4C OBN data with spectral elements: First inferences from the Gorgon FWI case study

International audienceEvolving from acoustic full-waveform inversion (AFWI) to elastic anisotropic FWI of long-offset, wide-azimuth multicomponent ocean-bottom node data is one of the most topical issues in exploration geophysics.
Caiza-Grijalva, R., Operto, S., Combe, Laure, Beller, S.   +3 more
core   +1 more source

Uncertainty Quantification With Ensemble-Based FWI - Application to 2D OBC Data from the Valhall Field

, 2019
International audienceFull Waveform Inversion (FWI) is an ill-posed nonlinear inverse problem, which aims at recovering high-resolution geophysical subsurface models.
R. Brossier, L. Métivier, Métivier, Ludovic, Brossier, Romain, Thurin, Julien, J. Thurin   +5 more
core   +1 more source

COMPRESSED FWI INVERSION WITH NON-MONOTONE LINE SEARCH LBFGS

, 2017
Full waveform inversion (FWI) is a high quality seismic imaging method. It is a nonlinear inversion problem which usually needs the monotone line search method to be solved.
Han, Liguo,, Chang, Ao,, Duan, Chaoran,, Yang, Xiaochun,, Zhang, Fengjiao,, Huang, Fei,   +5 more
core  

FWI multiescala: uma implementação em GPU

, 2018
A inversão completa da forma de onda (FWI - do inglês full-waveform inversion) é atualmente uma das principais ferramentas para determinar modelos de velocidades da subsuperfície com alta resolução.
Ramalho, Victor Koehene
core  

Controlling factors of wildfires in Australia and their changes under global warming

Environmental Research Letters
This study investigates a fire weather index (FWI) and its associated components in Australia using the downscaled projects for the Coupled Model Intercomparison Project phase 6 dataset, aiming to understand how they respond to global warming ...
Hien X Bui, Yi-Xian Li, Dietmar Dommenget   +2 more
doaj   +1 more source

A graph-space optimal transport FWI approach based on \kappa-generalized Gaussian distribution [PDF]

The statistical basis for conventional full-waveform inversion (FWI) approaches is commonly associated with Gaussian statistics. However, errors are rarely Gaussian in non-linear problems like FWI.
Kaniadakis, G., da Silva, Sérgio Luiz E. F.   +1 more
core   +1 more source