Computers & Geosciences
IF
2.57
Papers
5398
Papers 5397
1 page of 540 pages (5,397 results)
Newest
Published on Feb 1, 2019in Computers & Geosciences 2.57
Abstract Principal tensor analysis (PTA) is considered as a potentially useful tool in geosciences, particularly for reconstructions of multi-way (time (depth), space, and proxies) datasets. We introduce an extension of PTA: PTA enhanced with Singular Spectrum Analysis (SSA). Using this enhancement, we were able to isolate clear patterns in noisy multi-way data. As an illustrative example, the method has been applied to 4-way data tensor (time, space, proxies, and delay-time) constructed from ma...
Source Cite
Published on Jan 1, 2019in Computers & Geosciences 2.57
Jasmine B.D. Jaffrés3
Estimated H-index: 3
(James Cook University)
Abstract International collaboration to create and maintain international, freely accessible datasets greatly facilitates research in many scientific fields. The Global Historical Climatology Network (GHCN)-Daily database provides access to a diverse range of daily weather station data, including precipitation and temperature variables. These data are supplied as individual, station-specific files and structured in a non-delimited format. Here, the GHCN-Daily data structure, spatio-temporal cont...
Source Cite
Published on Mar 1, 2019in Computers & Geosciences 2.57
Hamid Ebrahimy (Shahid Beheshti University), Mohsen Azadbakht2
Estimated H-index: 2
(Shahid Beheshti University)
Abstract Remotely sensed Land Surface Temperature (LST) is of paramount importance in numerous environmental applications. Although, coarse spatial resolution sensors provide frequent LST measurements, their applicability is rather limited for many applications. Downscaling methods are therefore applied to improve the spatial resolution of LST products. A number of Machine Learning (ML) methods have already been used in the LST downscaling studies. Nevertheless, the literature lacks a suitable i...
Source Cite
Published on Feb 1, 2019in Computers & Geosciences 2.57
Feng Mao3
Estimated H-index: 3
(University of Birmingham),
Keith Richards39
Estimated H-index: 39
(University of Cambridge)
+ 3 AuthorsStefan Krause24
Estimated H-index: 24
(University of Birmingham)
Abstract There is a growing need to better understand and communicate multi-dimensional river ecosystem processes and properties at the catchment scale for both scientific research and integrated catchment management. Data visualisation is believed as a very useful approach to support this need. However, there is a lack of visualisation applications tailored for river ecosystems, especially for visualising both river environmental data and their spatial and topological relations. To fill up the ...
1 Citations Source Cite
Published on Mar 1, 2019in Computers & Geosciences 2.57
Dany Lauzon (École Polytechnique de Montréal), Denis Marcotte26
Estimated H-index: 26
(École Polytechnique de Montréal)
Abstract A new algorithm is presented aiming to generate realizations calibrated to desired or observed field response functions. The Fast Fourier Transform Moving Average - simulated annealing algorithm (FFTMA-SA) combines the FFTMA method of simulation and the simulated annealing (SA) method for calibration. SA is performed on the uncorrelated random numbers used within the FFTMA algorithm, keeping by construction the field covariance function unchanged. Hard data exact conditioning by kriging...
Source Cite
Published on Mar 1, 2019in Computers & Geosciences 2.57
Lei Li1
Estimated H-index: 1
(Central South University),
Jingqiang Tan1
Estimated H-index: 1
(Central South University)
+ 4 AuthorsDirk Gajewski26
Estimated H-index: 26
(University of Hamburg)
A fast and accurate source location estimation is the foundation for passive seismic processing and interpretation. Waveform-based location methods become more and more popular for analysis of both natural and induced seismicity. We utilize stochastic optimization algorithms to speed up microseismic location. Two waveform-based location methods (i.e. diffraction stacking and cross correlation stacking) are adopted to test the performance of three algorithms (i.e. particle swarm optimization, dif...
Source Cite
Published on Jan 1, 2019in Computers & Geosciences 2.57
Xiangning Zhang3
Estimated H-index: 3
(Chongqing University),
Ding Lyu2
Estimated H-index: 2
(Chongqing University)
+ 3 AuthorsLeon M. Keer49
Estimated H-index: 49
(Northwestern University)
Abstract The inclusion model for pore pressure and near surface localized heating may be of practical importance to many geological applications including geothermal reservoirs and volcanoes. In literature, the axisymmetric inclusion problems considering vertically placed spheroidal inclusions have been examined, while the complementary problems concerning horizontal spheroidal inclusion have not drawn much attention. The latter lacks axial symmetry, and usually cannot be handled by the analytic...
Source Cite
Published on Mar 1, 2019in Computers & Geosciences 2.57
Qingren Jia (Northeastern University (China)), Defu Che (Northeastern University (China)), Wenwen Li16
Estimated H-index: 16
(Arizona State University)
Abstract A reliable coal seam model is highly significant for mining design and resource assessment. However, due to the anisotropic nature of geological attributes, accurately modeling the surface using existing interpolation methods is difficult. Here, we propose a new method for coal seam surface modeling. First, we introduce a multiscale interpolation method using compactly supported radial basis functions (CSRBFs) and improve the modeling accuracy by anisotropy calculations using the raw mi...
Source Cite
Published on Jan 1, 2019in Computers & Geosciences 2.57
Hassan Talebi4
Estimated H-index: 4
(Edith Cowan University),
Ute Mueller9
Estimated H-index: 9
(Edith Cowan University),
Raimon Tolosana-Delgado5
Estimated H-index: 5
(Helmholtz-Zentrum Dresden-Rossendorf)
Abstract Ore deposits usually consist of ore materials with different discrete (e.g. rock and alteration types) and continuous (e.g. geochemical and mineral composition) features. Financial feasibility studies are highly dependent on the modelling of these features and their associated joint uncertainties. Few geostatistical techniques have been developed for the joint modelling of high-dimensional mixed data (continuous and categorical) or constrained data, such as compositional data. The compo...
Source Cite
Published on May 1, 2019in Computers & Geosciences 2.57
Xuequan Zhang (Wuhan University), Peng Yue18
Estimated H-index: 18
(Wuhan University)
+ 1 AuthorsLei Hu (Wuhan University)
Abstract Texture slicing based volume rendering is widely used for data visualization, but dynamic high-fidelity rendering for large-scale meteorological data is still a challenge. The traditional octree-based multiresolution method increases the slicing and rendering batches, and it also has the visual defect of brick borders. This paper introduces an efficient dynamic volume rendering method for large-scale meteorological data in a virtual globe. First, the volumetric data is resampled and tra...
Source Cite
12345678910