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Improvement of PM2.5 forecast over China by the joint adjustment of initial conditions and emissions with the NLS-4DVar method

 期刊论文
ATMOSPHERIC ENVIRONMENT, 2022, 卷号: 271
作者:  Zhang, Shan;  Tian, Xiangjun;  Han, Xiao;  Zhang, Meigen;  Zhang, Hongqin;  Mao, Huiqin
收藏  |  浏览/下载：38/0  |  提交时间：2022/06/21
VARIATIONAL DATA ASSIMILATION  ENSEMBLE KALMAN FILTER  QUALITY MODELING CMAQ  AEROSOL EMISSIONS  WEATHER RESEARCH  SYSTEM  PM10  IMPROVEMENT  INVENTORY  OZONE  
Evaluating the Forecast Impact of Assimilating ATOVS Radiance With the Regional System of Multigrid NLS-4DVar Data Assimilation for Numerical Weather Prediction (SNAP) 期刊论文
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS, 2021, 卷号: 13, 期号: 7
作者:  Zhang, Hongqin;  Tian, Xiangjun
收藏  |  浏览/下载：31/0  |  提交时间：2022/06/21
VARIATIONAL DATA ASSIMILATION  ENSEMBLE KALMAN FILTER  DIRECT 4D-VAR ASSIMILATION  CLOUD-CLEARED RADIANCES  SKY INFRARED RADIANCES  PART I  OPERATIONAL IMPLEMENTATION  SATELLITE RADIANCES  MICROWAVE RADIANCES  TROPICAL CYCLONES  
A nonlinear least squares four-dimensional variational data assimilation system for PM2.5 forecasts (NASM): Description and preliminary evaluation 期刊论文
ATMOSPHERIC POLLUTION RESEARCH, 2021, 卷号: 12, 期号: 4
作者:  Zhang, Shan;  Tian, Xiangjun;  Zhang, Hongqin;  Han, Xiao;  Zhang, Meigen
收藏  |  浏览/下载：23/0  |  提交时间：2022/06/21
ENSEMBLE DATA ASSIMILATION  WEATHER RESEARCH  KALMAN FILTER  MODEL  CMAQ  IMPLEMENTATION  CHEMISTRY  OZONE  CHINA  SIMULATION  
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：41/0  |  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  
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：155/0  |  提交时间：2022/01/18
Air quality modelling  Chemical transport model  Data assimilation  Ensemble kalman filter  Particulate matter  
The impact of optimal selected historical forecasting samples on hybrid ensemble-variational data assimilation 期刊论文
, 2020, 卷号: 242
作者:  Chen Y.;  Guo S.;  Meng D.;  Wang H.;  Xu D.;  Wang Y.;  Wang J.
收藏  |  浏览/下载：20/0  |  提交时间：2020/07/28
Atmospheric humidity  Orthogonal functions  Background-error covariances  Computational costs  Data assimilation  Empirical Orthogonal Function  Hybrid  Numerical weather prediction  Variational data assimilation  Variational data assimilation system  Weather forecasting  climate prediction  cost analysis  data assimilation  empirical orthogonal function analysis  ensemble forecasting  forecasting method  weather forecasting  Citrus maxima  
Data assimilation using an ensemble of models: A hierarchical approach 期刊论文
, 2020, 卷号: 20, 期号: 6
作者:  Rayner P.
收藏  |  浏览/下载：45/0  |  提交时间：2020/07/28
atmospheric modeling  data assimilation  ensemble forecasting  hierarchical system  
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：35/0  |  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  
Simultaneous estimation of both soil moisture and model parameters using particle filtering method through the assimilation of microwave signal 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2009, 卷号: 114
作者:  Qin, Jun;  Liang, Shunlin;  Yang, Kun;  Kaihotsu, Ichiro;  Liu, Ronggao;  Koike, Toshio
收藏  |  浏览/下载：36/0  |  提交时间：2022/06/21
ENSEMBLE KALMAN FILTER  SEQUENTIAL DATA ASSIMILATION  LAND-SURFACE MODEL  HYDROLOGIC DATA ASSIMILATION  AMSR-E  TEMPERATURE  SYSTEM  CLIMATE  UNCERTAINTY  SENSITIVITY