搜索结果: 1-15 共查到“地球科学总论 Bayesian”相关记录19条 . 查询时间(0.078 秒)
FLEXINVERT: an atmospheric Bayesian inversion framework for determining surface fluxes of trace species using an optimized grid
atmospheric Bayesian inversion framework optimized grid
2014/12/19
We present a new modular Bayesian inversion
framework, called FLEXINVERT, for estimating the surface
fluxes of atmospheric trace species. FLEXINVERT can be
applied to determine the spatio-tem...
Simultaneously assimilating multivariate data sets into the two-source evapotranspiration model by Bayesian approach: application to spring maize in an arid region of northwestern China
Simultaneously assimilating multivariate data sets two-source evapotranspiration model Bayesian approach spring maize in an arid region of northwestern China
2014/12/19
Based on direct measurements of half-hourly canopy evapotranspiration (ET; W m−2) using the eddy covariance (EC) system and daily soil evaporation (E; mm day−1) using microlysimeters over ...
Test of Strain Behavior Model with Radon Anomaly in Seismogenic Area: A Bayesian Melding Approach
Radon Deterministic Model Probability Distribution
2013/3/7
Mathematical models in seismo-geochemical monitoring offer powerful tools for the study and exploration of complex dynamics associated with discharge of radon as the indicator of change of intense-def...
Bayesian trend analysis for daily rainfall series of Barcelona
Bayesian trend analysis daily rainfall series of Barcelona
2010/9/10
A Point-Over-Threshold approach using a reparameterization of the Generalized Pareto Distribution (GPD) has been used to assess changes in the daily rainfall Barcelona series (1854–2006). A Bayesian a...
Reply to Comment on "Hierarchical Bayesian space-time interpolation versus spatio-temporal BME approach" by Kolovos (2009)
Reply Comment "Hierarchical Bayesian space-time interpolation versus spatio-temporal BME approach"
2010/9/13
As correctly pointed out by A. Kolovos, in our paper (Hussain et al., 2010) we applied BME kriging and compared it to hierarchical Bayesian interpolation (HBI) in the context of
spatiotemporal predic...
Comment on "Hierarchical Bayesian space-time interpolation versus spatio-temporal BME approach" by Hussain et al. (2010)
Comment "Hierarchical Bayesian space-time interpolation versus spatio-temporal BME approach"
2010/9/13
This is a clarifying comment regarding the article “Hierarchical Bayesian space-time interpolation versus spatiotemporal BME approach” (Hussain et al., 2010). In the article,
the authors present a ve...
Hierarchical Bayesian space-time interpolation versus spatio-temporal BME approach
Hierarchical Bayesian space-time interpolation spatio-temporal BME approach
2010/9/10
The restrictions of the analysis of natural processes which are observed at any point in space or time to a purely spatial or purely temporal domain may cause loss of information and larger prediction...
Application of the Bayesian calibration methodology for the parameter estimation in CoupModel
Bayesian calibration methodology CoupModel
2010/2/3
This study provides results for the optimization strategy of highly parameterized models, especially with a high number of unknown input parameters and joint problems in terms of sufficient parameter ...
Estimating basal properties of ice streams from surface measurements:a non-linear Bayesian inverse approach applied to synthetic data
basal properties ice streams surface measurements non-linear Bayesian inverse approach
2010/2/4
We propose a new approach to indirectly estimate basal properties of ice streams, i.e. bedrock topography and basal slipperiness, from observations of surface topography and surface velocities. We dem...
Time independent seismic hazard analysis of Greece deduced from Bayesian statistics
Time independent seismic hazard analysis Greece Bayesian statistics
2009/12/11
A Bayesian statistics approach is applied in the seismogenic sources of Greece and the surrounding area in order to assess seismic hazard, assuming that the earthquake occurrence follows the Poisson p...
Bayesian stochastic modeling of a spherical rock bouncing on a coarse soil
Bayesian stochastic modeling spherical rock coarse soil
2009/12/8
Trajectory analysis models are increasingly used for rockfall hazard mapping. However, classical approaches only partially account for the variability of the trajectories. In this paper, a general for...
Non-Gaussian Bayesian retrieval of tropical upper tropospheric cloud ice and water vapour from Odin-SMR measurements
Non-Gaussian Bayesian retrieval tropical upper tropospheric cloud ice water vapour
2010/2/8
Improved Odin-SMR retrievals of upper tropospheric water are presented. The new retrieval algorithm retrieves humidity and cloud ice mass simultaneously and takes into account of cloud inhomogeneities...
Bayesian calibration of the Thermosphere-Ionosphere Electrodynamics General Circulation Model (TIE-GCM)
Bayesian calibration Thermosphere-Ionosphere Electrodynamics General Circulation Model
2010/2/5
In this paper, we demonstrate a procedure for calibrating a complex computer simulation model having uncertain inputs and internal parameters, with application to the NCAR Thermosphere-Ionosphere-Elec...
Bayesian stochastic modeling of a spherical rock bouncing on a coarse soil
Bayesian stochastic modeling spherical rock bouncing coarse soil
2009/12/16
Trajectory analysis models are increasingly used for rockfall hazard mapping. However, classical approaches only partially account for the variability of the trajectories. In this paper, a general for...
Optimal design under uncertainty of a passive defense structure against snow avalanches: from a general Bayesian framework to a simple analytical model
Optimal design a passive defense structure snow avalanches a general Bayesian framework a simple analytical model
2009/12/30
For snow avalanches, passive defense structures are generally designed by considering high return period events. In this paper, taking inspiration from other natural hazards, an alternative method bas...