1 Chen, D., "WRF-Chem simulation of NOx and O3 in the L.A. basin during CalNex-2010" 81 : 421-432, 2010
2 Kahnert, M., "Variational data analysis of aerosol species in a regional CTM: Background error covariance constraint and aerosol optical observation operators" 60 : 753-770, 2008
3 Pagowski, M., "Three-dimensional variational data assimilation of ozone and fine particulate matter observations: some results using the Weather Research and Forecasting-Chemistry model and Grid-point Statistical Interpolation" 136 : 2013-2024, 2010
4 Liu, Z, "Three-dimensional variational assimilation of MODIS aerosol optical depth: Implementation and application to a dust storm over East Asia" 116 : D23206-, 2011
5 Liu, J., "The structure of background-error covariance in a four-dimensional variational data assimilation system:single-point experiment" 27 : 1303-1310, 2010
6 Parrish, D. F., "The national meteorological center spectral statistical interpolation analysis" 120 : 1747-1763, 1992
7 Chen, D., "The impact of aerosol optical depth assimilation on aerosol forecasts and radiative effects during a wild fire event over the United States" 7 : 2709-2715, 2014
8 Schwartz, C. S., "Simultaneous three-dimensional variational assimilation of surface fine particulate matter and MODIS aerosol optical depth" 117 : D13202-, 2012
9 Evensen, G., "Sequential data assimilation with a nonlinear quasigeostrophic model using Monte Carlo methods to forecast error statistics" 99 : 10143-10162, 1994
10 Barth, M. C., "Regional and global distributions and lifetimes of sulfate aerosols from Mexico City and southeast China" 104 (104): 30231-30239, 1999
1 Chen, D., "WRF-Chem simulation of NOx and O3 in the L.A. basin during CalNex-2010" 81 : 421-432, 2010
2 Kahnert, M., "Variational data analysis of aerosol species in a regional CTM: Background error covariance constraint and aerosol optical observation operators" 60 : 753-770, 2008
3 Pagowski, M., "Three-dimensional variational data assimilation of ozone and fine particulate matter observations: some results using the Weather Research and Forecasting-Chemistry model and Grid-point Statistical Interpolation" 136 : 2013-2024, 2010
4 Liu, Z, "Three-dimensional variational assimilation of MODIS aerosol optical depth: Implementation and application to a dust storm over East Asia" 116 : D23206-, 2011
5 Liu, J., "The structure of background-error covariance in a four-dimensional variational data assimilation system:single-point experiment" 27 : 1303-1310, 2010
6 Parrish, D. F., "The national meteorological center spectral statistical interpolation analysis" 120 : 1747-1763, 1992
7 Chen, D., "The impact of aerosol optical depth assimilation on aerosol forecasts and radiative effects during a wild fire event over the United States" 7 : 2709-2715, 2014
8 Schwartz, C. S., "Simultaneous three-dimensional variational assimilation of surface fine particulate matter and MODIS aerosol optical depth" 117 : D13202-, 2012
9 Evensen, G., "Sequential data assimilation with a nonlinear quasigeostrophic model using Monte Carlo methods to forecast error statistics" 99 : 10143-10162, 1994
10 Barth, M. C., "Regional and global distributions and lifetimes of sulfate aerosols from Mexico City and southeast China" 104 (104): 30231-30239, 1999
11 Begum, B. A., "Organic and Black Carbon in PM2.5 at an Urban Site at Dhaka, Bangladesh" 12 : 1062-1072, 2012
12 Zhang, Y., "Online-coupled meteorology and chemistry models:history, current status, and outlook" 8 : 2895-2932, 2008
13 Fu, W., "Ocean data assimilation with background error covariance derived from OGCM outputs" 21 : 181-192, 2004
14 Mesinger, F., "North American regional reanalysis" 87 : 343-360, 2006
15 Zhu, J., "Nonlinear balance constraints in 3DVAR data assimilation" 49 : 331-336, 2006
16 Jacobson, M. Z., "GATOR-GCMM: A global through urban scale air pollution and weather forecast model. 1. Model design and treatment of subgrid soil, vegetation, roads, rooftops, water, sea ice, and snow" 106 (106): 5385-5402, 2001
17 Salako, G. O., "Exploring the variation between EC and BC in a variety of locations" 12 : 1-7, 2012
18 Fast, J. D., "Evolution of ozone, particulates, and aerosol direct radiative forcing in the vicinity of Houston using a fully coupled meteorology-chemistry-aerosol model" 111 : D21305-, 2006
19 Cohn, S. E., "Estimation theory for data assimilation problems: Basic conceptual framework and some open questions" 75 : 257-288, 1997
20 Yttri, K. E., "Elemental and organic carbon in PM10:a one year measurement campaign within the European Monitoring and Evaluation Programme EMEP" 7 : 5711-5725, 2007
21 Niu, T., "Data assimilation of dust aerosol observations for CUACE/Dust forecasting system" 8 : 3473-3482, 2008
22 Singh, K., "Construction of non-diagonal background error covariance matrices for global chemical data assimilation" 4 : 299-316, 2011
23 Gaspari, G., "Construction of Correlation Functions in Two and Three Dimensions" 125 : 723-757, 1999
24 Tao, J., "Chemical composition of PM2.5 at an urban site of Chengdu in southwestern China" 30 : 1070-1084, 2013
25 Li, X., "Chemical characteristics of carbonaceous aerosols during dust storms over Xi’an in China" 30 : 1070-1084, 2008
26 Chen, Y., "Balance characteristics of multivariate background error covariances and their impact on analyses and forecasts in tropical and Arctic regions" 121 : 79-98, 2013
27 Benedetti, A., "Background error statistics for aerosols" 133 : 391-405, 2007
28 Xu, Q., "Background error covariance functions for vector wind analyses using Doppler-radar radial-velocity observations" 132 : 2887-2904, 2006
29 Kalnay, E, "Atmospheric modeling, data assimilation and predictability" Cambridge Univ. Press 341-, 2003
30 Daley, R., "Atmospheric Data Analysis" Cambridge University Press 1991
31 Wang, Y., "Assimilation of ground versus lidar observations for PM10 forecasting" 13 : 269-283, 2013
32 Wang, B., "An Economical Approach to Four-dimensional Variational Data Assimilation" 27 : 715-727, 2010
33 Saide, P. E., "Aerosol optical depth assimilation for a sizeresolved sectional model: impacts of observationally constrained, multiwavelength and fine mode retrievals on regional scale analyses and forecasts" 13 : 10425-10444, 2013
34 Benedetti, A., "Aerosol analysis and forecast in the European Centre for Medium-Range Weather Forecasts Integrated Forecast System: 2.Data assimilation" 114 : D13205-, 2009
35 Li, Z., "A three-dimensional variational data assimilation scheme for the Regional Ocean Modeling System" 25 : 2074-2090, 2008
36 Li, Z., "A three dimensional variational data assimilation system for multiple aerosol species with WRF/Chem and an application to PM2.5 prediction" 13 : 4265-4278, 2013
37 Bannister, R. N., "A review of forecast error covariance statistics in atmospheric variational data assimilation. II: Modelling the forecast error covariance statistics" 134 : 1971-1996, 2008
38 Bannister, R. N., "A review of forecast error covariance statistics in atmospheric variational data assimilation. I: Characteristics and measurements of forecast error covariances" 134 : 1951-1970, 2008
39 Derber, J., "A reformulation of the background error covariance in the ECMWF global data assimilation system" 51 : 195-221, 1999
40 Zhu, J., "A new localization implementation scheme for ensemble data assimilation of non-local observations" 63 : 244-255, 2011