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Indicator-based data assimilation with multiple-point statistics for updating an ensemble of models with non-Gaussian parameter distributions 期刊论文
, 2020, 卷号: 141
作者:  Kumar D.;  Srinivasan S.
收藏  |  浏览/下载:35/0  |  提交时间:2020/07/28
Channel capacity  Gaussian distribution  Gaussian noise (electronic)  Groundwater  Groundwater flow  Groundwater pollution  Linear transformations  Concentration profiles  Ensemble based data assimilation  Ensemble Kalman Filter  Multiple-point statistics  Non Gaussian parameters  Non-linear transformations  Spatial characteristics  Subsurface heterogeneity  Geologic models  algorithm  data assimilation  ensemble forecasting  Gaussian method  groundwater flow  heterogeneity  Kalman filter  spatial distribution  uncertainty analysis  
Bayesian inversion of hierarchical geostatistical models using a parallel-tempering sequential Gibbs MCMC 期刊论文
, 2020, 卷号: 141
作者:  Reuschen S.;  Xu T.;  Nowak W.
收藏  |  浏览/下载:15/0  |  提交时间:2020/07/28
Markov chains  Monte Carlo methods  Tempering  Conditional probabilities  Ensemble Kalman Filter  Gaussian assumption  Geostatistical inversion  Geostatistical models  Markov chain Monte Carlo method  Multiple-point geostatistics  Parallel tempering  Gaussian distribution  Bayesian analysis  Gaussian method  geostatistics  Kalman filter  Markov chain  Monte Carlo analysis  steady-state equilibrium  
Comparing global hydrological models and combining them with GRACE by dynamic model data averaging (DMDA) 期刊论文
, 2020, 卷号: 138
作者:  Mehrnegar N.;  Jones O.;  Singer M.B.;  Schumacher M.;  Bates P.;  Forootan E.
收藏  |  浏览/下载:29/0  |  提交时间:2020/07/28
Aneroid altimeters  Atmospheric pressure  Bayesian networks  Climatology  Digital storage  Dynamic models  Geodetic satellites  Groundwater  Kalman filters  Rivers  Soil moisture  Uncertainty analysis  Watersheds  Bayesian model averaging  GRACE  Hydrological models  Model data  Satellite altimetry  Terrestrial water storage  Climate models  Bayesian analysis  El Nino-Southern Oscillation  GRACE  hydrological modeling  Kalman filter  numerical model  satellite data  satellite imagery  water storage  Nile Basin  Hepatitis B virus  
Effects of variable-density flow on the value-of-information of pressure and concentration data for aquifer characterization 期刊论文
, 2020, 卷号: 135
作者:  Yoon S.;  Lee S.;  Williams J.R.;  Kang P.K.
收藏  |  浏览/下载:22/0  |  提交时间:2020/07/28
Aquifers  Hydrogeology  Information theory  Kalman filters  Aquifer characterization  Ensemble Kalman Filter  Joint inversion  Mutual informations  Value of information  Variable-density flows  Transport properties  aquifer characterization  concentration (composition)  data inversion  density current  Kalman filter  pressure  saline intrusion  
High-spatiotemporal-resolution inverse estimation of CO and NOx emission reductions during emission control periods with a modified ensemble Kalman filter 期刊论文
ATMOSPHERIC ENVIRONMENT, 2020, 卷号: 236
作者:  Wu H.;  Tang X.;  Wang Z.;  Wu L.;  Li J.;  Wang W.;  Yang W.;  Zhu J.
收藏  |  浏览/下载:9/0  |  提交时间:2022/01/18
Beijing-Tianjin-Hebei  Emission control  Ensemble Kalman filter  Inverse estimation  
Forecasting PM10 and PM2.5 in the Aburrá Valley (Medellín, Colombia) via EnKF based data assimilation 期刊论文
ATMOSPHERIC ENVIRONMENT, 2020, 卷号: 232
作者:  Lopez-Restrepo S.;  Yarce A.;  Pinel N.;  Quintero O.L.;  Segers A.;  Heemink A.W.
收藏  |  浏览/下载:104/0  |  提交时间:2022/01/18
Air quality modelling  Chemical transport model  Data assimilation  Ensemble kalman filter  Particulate matter  
Evaluation of a multi-model, multi-constituent assimilation framework for tropospheric chemical reanalysis 期刊论文
, 2020, 卷号: 20, 期号: 2
作者:  Miyazaki K.;  Bowman W.K.;  Yumimoto K.;  Walker T.;  Sudo K.
收藏  |  浏览/下载:39/0  |  提交时间:2020/07/28
atmospheric chemistry  carbon emission  concentration (composition)  ensemble forecasting  Kalman filter  numerical model  ozone  satellite data  satellite imagery  sensitivity analysis  troposphere  
Impact of the Hierarchical Ensemble Filter Covariance Localization Method on EnKF Radar Data Assimilation: Observing system simulation experiments 期刊论文
, 2020, 卷号: 245
作者:  Gao S.;  Yu H.;  Min J.;  Liu L.;  Ren C.
收藏  |  浏览/下载:30/0  |  提交时间:2020/07/28
Errors  Forecasting  Radar  Storms  Adaptive localizations  Ensemble Kalman Filter  Hierarchical ensemble  Localization method  Observing system simulation experiments  Radar data assimilation  Thermal distributions  Vertical vorticity  Kalman filters  covariance analysis  data assimilation  ensemble forecasting  error analysis  experiment  Kalman filter  radar  thunderstorm