[1] |
LORENC A C. Modelling of error covariances by 4D-Var data assimilation[J]. Q J Roy Meteorol Soc, 2003, 129(595): 3 167-3 182. doi: 10.1256/qj.02.131 |
[2] |
BANNISTER R N. A review of forecast error covariance statistics in atmospheric variational data assimilation I: Characteristics and measurements of forecast error covariances[J]. Q J Roy Meteorol Soc, 2008, 134(637): 1 951-1 970. doi: 10.1002/qj.v134:637 |
[3] |
陈耀登, 曾腊梅, HUANG X-Y, 等.纬度依赖背景场误差协方差及其对台风同化和预报的影响研究[J].热带气象学报, 2014, 30(4): 654-662. http://www.itmm.gov.cn/rdqxxb/ch/reader/view_abstract.aspx?file_no=20140406&flag=1 |
[4] |
薛纪善, 庄世宇, 朱国富, 等. GRAPES新一代全球/区域变分同化系统研究[J].科学通报, 2008, 20(20): 2 408-2 417. doi: 10.3321/j.issn:0023-074X.2008.20.003 |
[5] |
PARRISH J C. The national meteorological center's spectral statistical-interpolation analysis system[J]. Mon Wea Rev, 1992, 120(8): 1 747-1 763. doi: 10.1175/1520-0493(1992)120<1747:TNMCSS>2.0.CO;2 |
[6] |
LORENC A C, BALLARD S P, BELL R S, et al. The Met Office global three-dimensional variational data assimilation scheme[J]. Q J Roy Meteorol Soc, 2000, 126(570): 2 991-3 012. doi: 10.1002/(ISSN)1477-870X |
[7] |
CHEN Y, RIZVI S R, HUANG X-Y, et al. Balance characteristics of multivariate background error covariances and their impact on analyses and forecasts in tropical and Arctic regions[J]. Meteorol Atmos Phy, 2013, 121(1): 79-98. https://opensky.ucar.edu/islandora/object/articles%3A12729/datastream/PDF/view |
[8] |
王瑞春, 龚建东, 张林. GRAPES变分同化系统中动力平衡约束的统计求解[J].应用气象学报, 2012, 23(2): 129-38. doi: 10.11898/1001-7313.20120201 |
[9] |
王瑞春, 龚建东, 张林, 等.利用整层模式大气统计求解GRAPES-3DVAR动力平衡约束的数值试验[J].热带气象学报, 2014, 30(4): 633-642. http://www.itmm.gov.cn/rdqxxb/ch/reader/view_abstract.aspx?file_no=20140404&flag=1 |
[10] |
BERRE L. Estimation of synoptic and mesoscale forecast error covariances in a limited-area model[J]. Mon Wea Rev, 2000, 128(3): 644-667. doi: 10.1175/1520-0493(2000)128<0644:EOSAMF>2.0.CO;2 |
[11] |
SADIKI W, FISCHER C. A posteriori validation applied to the 3D-VAR Arpège and Aladin data assimilation systems[J]. Tellus A, 2005, 57(1): 21-34. https://www.researchgate.net/publication/229877598_A_posteriori_validation_applied_to_the_3DVar_ARPEGE_and_ALADIN_data_assimilation_systems |
[12] |
INGLEBY N B, LORENC A C, NGAN K, et al. Improved variational analyses using a nonlinear humidity control variable[J]. Q Q J Roy Meteorol Soc, 2013, 139(676): 1 875-1 887. doi: 10.1002/qj.2073 |
[13] |
WANG H L, SUN J, GUO Y R, et al. Radar Reflectivity Assimilation with the updated WRFDA-4DVAR system[C]//American Meteorological Society Annual Meeting. Seattle, WA: American Meteorological Society Annual, 2011: 23-27. |
[14] |
DERBER J, BOUTTIE F. A reformulation of the background error covariance in the ECMWF global data assimilation system[J]. Tell Ser A-dyn Meteorol Oceanogr, 1999, 51(2): 195-221. doi: 10.3402/tellusa.v51i2.12316 |
[15] |
BANNISTER R N. A review of forecast error covariance statistics in atmospheric variational data assimilation I: Characteristics and measurements of forecast error covariances[J]. Q J Roy Meteorol Soc, 2008, 134(637): 1 951-1 970. doi: 10.1002/qj.v134:637 |
[16] |
中国天气网: http://www.weather.com.cn/tfzt/980515.shtml. |
[17] |
BARKER D M, HUANG W, GUO Y R, et al. A three-dimensional variational(3DVAR) data assimilation system for use with MM5[J]. NCAR Tech Note, 2003: 68. http://www.docin.com/p-105724923.html |
[18] |
沈艳, 潘旸, 宇婧婧, 等.中国区域小时降水量融合产品的质量评估[J].大气科学学报, 2013, 36(1): 37-46. http://www.cnki.com.cn/Article/CJFDTOTAL-NJQX201301007.htm |
[19] |
LIN Y, COLLE B A. A new bulk microphysical scheme that includes riming intensity and temperature-dependent ice characteristics[J]. Mon Wea Rev, 2011, 139(3): 1 013-1 035. doi: 10.1175/2010MWR3293.1 |