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Earthquake forecasting in Italy,before and after Umbria-Marche seismic sequence 1997.A review of the earthquake occurrence modeling at different spatio-temporal-magnitude scales
earthquake forecasting
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2015/9/1
The main goal of this work is to review the scientific researches carried out before and after the Umbria-Marche sequence related to the earthquake forecasting/prediction in Italy. In particular, I fo...
Forecasting Italian seismicity through a spatio-temporal physical model: importance of considering time-dependency and reliability of the forecast
spatio-temporal physical model considering time-dependency
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2015/8/28
We apply here a forecasting model to the Italian region for the spatio-temporal distribution of seismicity based on a smoothing Kernel function, Coulomb stress variations, and a rate-and-state frictio...
Spatial models for monitoring the spatio-temporal evolution of ashes after fire – a case study of a burnt grassland in Lithuania
The thickness of the ash soil erosion unscheduled fire ash thickness measurement
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2015/1/5
Ash thickness is a key variable in the protection of soil against erosion agents after planned and unplanned fires. Ash thickness measurements were conducted along two transects (flat and sloping area...
Spatio-temporal evolution of aseismic slip along the Haiyuan fault, China: Implications for fault frictional properties
shallow creep strike-slip fault Tibet SAR interferometry frictional properties
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2014/4/15
We use 20 years of Synthetic Aperture Radar acquisitions by the ERS and Envisat satellites to investigate the spatial and temporal variations of strain rates along the 35-km long creeping section of t...
Self-organization of spatio-temporal earthquake clusters
Self-organization spatio-temporal earthquake clusters
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2009/11/12
Cellular automaton versions of the Burridge-Knopoff model have been shown to reproduce the power law distribution of event sizes; that is, the Gutenberg-Richter law. However, they have failed to repro...
Response of a global atmospheric circulation model to spatio-temporal stochastic forcing:ensemble statistics
global atmospheric circulation model spatio-temporal stochastic forcing ensemble statistics
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2009/11/12
The response of a simplified global atmospheric circulation model (PUMA) to spatiotemporal stochastic forcing is analyzed using the statistical measures originally developed for ensemble forecast eval...
Spatio-temporal filling of missing points in geophysical data sets
Spatio-temporal filling missing points geophysical data sets
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2009/11/9
The majority of data sets in the geosciences are obtained from observations and measurements of natural systems, rather than in the laboratory. These data sets are often full of gaps, due to to the co...
Spatio-temporal Slip, and Stress Level on the Faults within the Western Foothills of Taiwan: Implications for Fault Frictional Properties
The Chi-Chi earthquake fault friction fault rheology stress fault slip distribution
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2014/4/15
We use preseismic, coseismic, and postseismic GPS data of the 1999 Chi-Chi earthquake to infer spatio-temporal variation of fault slip and frictional behavior on the Chelungpu fault. The geodetic data...