[1] GAO F, ZHANG X, JACOBS A. Estimation of TAMDAR observational error and assimilation experiments[J]. Wea Forecasting, 2012, 27(4): 856-877, https://doi.org/10.1175/WAF-D-11-00120.1.
[2] DRÜE C, FREY W, HOFF A. Aircraft type-specific errors in AMDAR weather reports from commercial aircraft[J]. Quart J Roy Meteor Soc, 2008, 134(630): 229-239, https://doi.org/10.1002/qj.205.
[3] DING J. Evaluation of Chinese Aircraft Meteorological Data Relay (AMDAR) Weather Reports[J]. J Atmos Ocean Tech, 2015, 32(5): 982-992, https://doi.org/10.1175/JTECH-D-14-00145.1.
[4] World Meteorological Organization. Aircraft Meteorological Data Relay (AMDAR) Reference Manual [Z]. Secretariat of the World Meteorological Organization, WMO Publ WMO-958, 2003, 80 pp[Available online at https://www.wmo.int/pages/prog/www/GOS/ABO/AMDAR/publications/AMDAR_Reference_Manual_2003.pdf.].
[5] LIAO J, XIONG A. Introduction and quality analysis of Chinese aircraft meteorological data[J]. J Appl Meteor Sci, 2010, 21: 206-213 (in Chinese), https://doi.org/10.3969/j.issn.1001-7313.2010.02.010.
[6] LIANG Ke, WAN Qi-lin, DING Wei-yu, et al. The application of assimilated aircraft data in simulating a heavy rain over south China in June 2005[J]. J Trop Meteor, 2007, 13(2): 160-164. http://cn.bing.com/academic/profile?id=78ee0103b59d2d9b27a8cd2ac94713de&encoded=0&v=paper_preview&mkt=zh-cn
[7] XIAO Hui, WAN Qi-lin, LIU Xian-tong, et al. Numerical prediction of an extreme rainstorm over the pearl river delta region on 7 May 2017 based on WRF-ENKF[J]. J Trop Meteor, 2019, 25(3): 312-323, https://doi.org/10.16555/j.1006-8775.2019.03.003.
[8] LIU Rui-xia, XIE Yuan-fu, LIU Jie. A preliminary study on the 3dvar assimilation of the AMSU-A data in space-time multiscale analysis system[J]. J Trop Meteor, 2017, 23(3): 314-322, https://doi.org/10.16555/j.1006-8775.2017.03.008.
[9] CARDINALI C, LSAKSEN L, ANDERSSON E. Use and impact of automated aircraft data in a global 4DVAR data assimilation system[J]. Mon Wea Rev, 2003, 131(8): 1865- 1877, https://doi.org/10.1175//2569.1.
[10] BENJAMIN S G, JAMISON B D, MONINGER W R. Relative short-range forecast impact from aircraft, profiler, radiosonde, VAD, GPS-PW, METAR, and Mesonet Observations via the RUC Hourly Assimilation Cycle[J]. Mon Wea Rev, 2010, 138(4): 1319-1343, https://doi.org/10.1175/2009MWR3097.1.
[11] RALPH A P. On the impact and benefits of AMDAR observations in operational forecasting, Part Ⅰ: A review of the impact of automated aircraft wind and temperature reports[J]. Bull Amer Meteor Soc, 2016, 97(4): 585-602, https://doi.org/10.1175/BAMS-D-14-00055.1.
[12] BENJAMIN S G, SCHWARTZ B E, COLE R E. A comparison of temperature and wind measurements from ACARS-Equipped aircraft and rawinsondes[J]. Wea Forecasting, 1995, 10(3): 528-544, https://doi.org/10.1175/1520-0434(1995)010 < 0528:ACOTAW > 2.0.CO; 2. doi: 10.1175/1520-0434(1995)010<0528:ACOTAW>2.0.CO;2
[13] BENJAMIN S G, SCHWARTZ B E, COLE R E. Accuracy of ACARS wind and temperature observations determined by collocation[J]. Wea Forecasting, 1999, 14 (6): 1032-1038, https://doi.org/10.1175/1520-0434(1999)014 < 1032:AOAWAT > 2.0.CO; 2. doi: 10.1175/1520-0434(1999)014<1032:AOAWAT>2.0.CO;2
[14] SKAMAROCK W C, KLEMP J B, DUDHIA J, et al. A description of the advanced research WRF version 3[R]. NCAR Tech Note, 2008, 113pp. https://www.researchgate.net/publication/306154004_A_Description_of_the_Advanced_Research_WRF_Version_3
[15] HONG S Y, LIM J O J. The WRF single-moment 6-class microphysics scheme (WSM6)[J]. J Korean Meteor Soc, 2006, 42: 129-151. http://ci.nii.ac.jp/naid/10026202362
[16] HONG S Y, NOH Y, DUDHIA J. A new vertical diffusion package with an explicit treatment of entrainment processes[J]. Mon Wea Rev, 2006, 134(9): 2318-2341, https://doi.org/10.1175/MWR3199.1.
[17] MLAWER E J, TAUBMAN S J, BROWN P D. Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave[J]. J Geophys Res, 1997, 102(D14): 16663-16682, https://doi.org/10.1029/97JD00237.
[18] DUDHIA J. Numerical study of convection observed during the winter monsoon experiment using a mesoscale two-dimensional model[J]. J Atmos Sci, 1989, 46(20): 3077-3107, https://doi.org/10.1175/1520-0469(1989)046 < 3077:NSOCOD > 2.0.CO; 2. doi: 10.1175/1520-0469(1989)046<3077:NSOCOD>2.0.CO;2
[19] YANG Z, NIU G. The community Noah land surface model with multi-parameterization options (Noah-MP): 2 evaluation over global river basins[J]. J Geophys Res, 2011, 116(D12): 1248-1256, https://doi.org/10.1029/2010JD015140.
[20] KAIN J S. The Kain-Fritsch convective parameterization: an update[J]. J Appl Meteorol, 2004, 43(1): 170-181, https://doi.org/10.1175/1520-0450(2004)043 < 0170: TKCPAU > 2.0.CO; 2. doi: 10.1175/1520-0450(2004)043<0170:TKCPAU>2.0.CO;2
[21] PARRISH D F, DERBER J C. The National Meteorological Center's spectral statistical-interpolation analysis system[J]. Mon Wea Rev, 1992, 120(8): 1747-1763, https://doi.org/10.1175/1520-0493(1992)120 < 1747: TNMCSS > 2.0.CO; 2. doi: 10.1175/1520-0493(1992)120<1747:TNMCSS>2.0.CO;2
[22] SUN J, WANG H, TONG W, et al. Comparison of the impacts of momentum control variables on high-resolution variational data assimilation and precipitation forecasting[J]. Mon Wea Rev, 2016, 144(1): 149-169, https://doi.org/10.1175/MWR-D-14-00205.1.
[23] WANG C, CHEN Y, CHEN M, et al. Data assimilation of a dense wind profiler network and its impact on convective forecasting[J]. Atmos Res, 2020, 238(1): 104880, https://doi.org/10.1016/j.atmosres.2020.104880.
[24] NIKKI P, ERRICO R M, TAI K S. The influence of observation errors on analysis error and forecast skill investigated with an observing system simulation experiment[J]. J Geophys Res, 2013, 118(11): 5332-5346, https://doi.org/10.1002/jgrd.50452.
[25] ROBERTS N M, LEAN H W. Scale-selective verification of rainfall accumulations from high-resolution forecasts of convective events[J]. Mon Wea Rev, 2008, 136(1): 78-97, https://doi.org/10.1175/2007MWR2123.1.
[26] SHEN Y, ZHAO P, YU Y, et al. A high spatiotemporal gauge-satellite merged precipitation analysis over China [J]. J Geophys Res, 2014, 119(6): 3063-3075, https://doi.org/10.1002/2013JD020686.