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Chen, Longwei, Liu, Lanbo (2019) Fast and accurate forward modelling of gravity field using prismatic grids. Geophysical Journal International, 216 (2) 1062-1071 doi:10.1093/gji/ggy480

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Reference TypeJournal (article/letter/editorial)
TitleFast and accurate forward modelling of gravity field using prismatic grids
JournalGeophysical Journal International
AuthorsChen, LongweiAuthor
Liu, LanboAuthor
Year2019 (February 1)Volume216
Issue2
PublisherOxford University Press (OUP)
DOIdoi:10.1093/gji/ggy480Search in ResearchGate
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Mindat Ref. ID892098Long-form Identifiermindat:1:5:892098:4
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Full ReferenceChen, Longwei, Liu, Lanbo (2019) Fast and accurate forward modelling of gravity field using prismatic grids. Geophysical Journal International, 216 (2) 1062-1071 doi:10.1093/gji/ggy480
Plain TextChen, Longwei, Liu, Lanbo (2019) Fast and accurate forward modelling of gravity field using prismatic grids. Geophysical Journal International, 216 (2) 1062-1071 doi:10.1093/gji/ggy480
In(2019, February) Geophysical Journal International Vol. 216 (2) Oxford University Press (OUP)

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Wu, Leyuan (2018) Comparison of 3-D Fourier forward algorithms for gravity modelling of prismatic bodies with polynomial density distribution. Geophysical Journal International, 215 (3) 1865-1886 doi:10.1093/gji/ggy379
Chen, Yangkang (2019) Erratum: Fast waveform detection for microseismic imaging using unsupervised machine learning. Geophysical Journal International, 216 (2) 1495 doi:10.1093/gji/ggy501
Lv, M, Zhang, Y, Liu, S (2023) Fast forward approximation and multitask inversion of gravity anomaly based on UNet3+. Geophysical Journal International, 234 (2) 972-984 doi:10.1093/gji/ggad106
Zeng, Xianghang, Wan, Xiaoyun, Lin, Miao, Wang, Wenbin (2022) Gravity field forward modelling using tesseroids accelerated by Taylor series expansion and symmetry relations. Geophysical Journal International, 230 (3) 1565-1584 doi:10.1093/gji/ggac136
Pan, Kejia, Zhang, Zhihao, Hu, Shuanggui, Ren, Zhengyong, Guo, Rongwen, Tang, Jingtian (2020) Three-dimensional forward modelling of gravity field vector and its gradient tensor using the compact difference schemes. Geophysical Journal International, 224 (2) 1272-1286 doi:10.1093/gji/ggaa511
Chen, Wenjin, Tan, Xiaolong (2024) An efficient algorithm for gravity forward modelling (GFM) with masses of arbitrary shapes and density distributions. Geophysical Journal International, 239 (3). doi:10.1093/gji/ggae343
Uz, Metehan; Ince, E Sinem (2025) Retrieving complete spherical Bouguer and isostatic gravity anomalies using global gravity forward models. Geophysical Journal International, 244 (2). doi:10.1093/gji/ggaf473
Yang, Meng, Hirt, Christian, Rexer, Moritz, Pail, Roland, Yamazaki, Dai (2019) The tree-canopy effect in gravity forward modelling. Geophysical Journal International, 219 (1) 271-289 doi:10.1093/gji/ggz264
Kabirzadeh, Hojjat, Kim, Jeong Woo, Sideris, Michael G, Vatankhah, Saeed, Kwon, Yi Kyun (2019) Coupled inverse modelling of tight CO2 reservoirs using gravity and ground deformation data. Geophysical Journal International, 216 (1) 274-286 doi:10.1093/gji/ggy424
Carrillo, Jonathan, Gallardo, Luis A (2018) Joint two-dimensional inversion of magnetotelluric and gravity data using correspondence maps. Geophysical Journal International, 214 (2) 1061-1071 doi:10.1093/gji/ggy195
Dong, Hao, Egbert, Gary D (2019) Divergence-free solutions to electromagnetic forward and adjoint problems: a regularization approach. Geophysical Journal International, 216 (2) 906-918 doi:10.1093/gji/ggy462
 
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