||鄧仁星，2000：RASTA(Radar Analysis System for Taiwan Area)使用說明書。|
Barnes, S. L., 1973: Mesoscale objective map analysis using weighted time series observations. NOAA Tech. Memo. Erl Nssl-62, 60pp.
Courtier, P., 1985: Experiments in data assimilation using the adjoint model technique. Preprints, Workshop on High-Resolution Analysis, Reading, United Kingdom, European Centre for Medium-Range Weather Forecasts, 1–20.
Crook, N. A., and J. Sun, 2002: Assimilating radar, surface and profiler data for the Sydney 2000 forecast demonstration project. J. Atmos. Oceanic Technol., 19, 888–898.
Dowell, C. D., F., Zhang, L. J. Wicker, C. Snyder, and N. A. Crook, 2004: Wind and temperature retrievals in the 17 May 1981 Arcadia, Oklahoma, supercell: Ensemble Kalman filter experiments. Mon. Wea. Rev., 132, 1982–2005.
Evensen, G., 1994: Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics. J. Geophys. Res., 99 (C5), 10 143–10 162.
Hu, M., M. Xue, J. Gao, and K. Brewster, 2006: 3DVAR and cloud analysis with WSR-88D level-II data for the prediction of the Fort Worth, Texas, tornadic thunderstorms. Part II: Impact of radial velocity analysis via 3DVAR. Mon. Wea. Rev., 134, 675–698.
Kessler, E., 1969: On the Distribution and Continuity of Water Substance in Atmospheric Circulation. Meteor. Monogr., No. 32, Amer. Meteor. Soc., 84 pp.
Klemp, J. B., R. B. Wilhelmson, and P. S. Ray, 1981: Observed and numerically simulated structure of a mature supercell thunderstorm. J. Atmos. Sci., 38, 1558–1580.
Le Dimet, and O. Talagrand, 1986: Variational algorithms for analysis and assimilation of meteorological observations: Theoretical aspects. Tellus, 38A, 97–110.
Lewis, J. M., and J. C. Derber, 1985: The use of adjoint equation to solve a variational adjustment problem with advective constraints. Tellus, 37A, 309–322.
Mueller C. K., T. Saxen, R. Roberts, J. Wilson, T. Betancourt, S. Dettling, N. Oien, J. Yee, 2003: NCAR auto-nowcast system. Wea. Forecasting, 18, 545-561.
Schaefer, J. T., 1990: The critical success index as an indicator of warning skill, Wea. Forecasting, 5, 570-575.
Snyder, C., and F. Zhang, 2003: Assimilation of simulated Doppler radar observations with an ensemble Kalman filter, Mon. Wea. Rev., 131, 1663–1677.
Sun, J., 2005: Initialization and numerical forecasting of a supercell storm observed during STEPS. Mon. Wea. Rev., 133, 793-164.
——, and N. A. Crook, 1994: Wind and thermodynamic retrieval from single-Doppler measurements of a gust front observed during Phoenix II. Mon Wea Rev., 122, 1075–1091.
——, and ——, 1997: Dynamical and microphysical retrieval from Doppler radar observations using a cloud model and its adjoint. Part I: Model development and simulated data experiments. J. Atmos. Sci., 54, 1642–1661.
——, and ——, 1998: Dynamical and microphysical retrieval from Doppler radar observations using a cloud model and its adjoint. Part II: Retrieval experiments of an observed Florida convective storm. J. Atmos. Sci., 55, 835–852.
——, and ——, 2001: Real-time low-level wind and temperature analysis using single WSR-88D data. Wea. Forecasting, 16, 117–132.
____, and Y. Zhang, 2008: Analysis and prediction of a squall line observed during IHOP using multiple WSR-88D observations, Mon. Wea. Rev., 136, 2364–2388.
____, D. W. Flicker, and D. K. Lilly, 1991: Recovery of three-dimensional wind and temperature fields from single-Doppler radar data. J. Atmos. Sci., 48, 876–890.
____, M. Chen, and Y. Wang, 2010: A frequent-updating analysis system based on radar, surface, and mesocale model data for the Beijing 2008 Forecast Demonstration Project. Wea. Forecasting, 25, 1715-1735.
Talagrand, O., and P. Courtier, 1987: Variational assimilation of meteorological observations with the adjoint vorticity equation— Part I. Theory. Quart. J. Roy. Meteor. Soc., 113, 1311–1328.
Tai, S.-L., Y.-C. Liou, J. Sun, S.-F. Chang, and M.-C. Kuo, 2011: Precipitation Forecast using Doppler Radar Data, a Cloud Model with Adjoint, and the Weather Research and Forecasting Model – Real Case Studies during SoWMEX in Taiwan. Wea. Forecasting. (in press)
Tripoli, G. J., and W. R. Cotton, 1981: The use of ice-liquid water potential temperature as a thermodynamic variable in deep atmospheric models. Mon. Wea. Rev., 109, 1094–1102.
Verlinde, J., and W. R. Cotton, 1990: A critical look at kinematic microphysical retrieval algorithms. Preprints, Conf. on Cloud Physics, San Francisco, CA, Amer. Meteor. Soc., 453–457.
Weygandt, S., A. Shapiro, and K. Droegemier, 2002a: Retrieval of model initial fields from single-Doppler observations of a supercell thunderstorm. Part I: Single-Doppler velocity retrieval. Mon. Wea. Rev., 130, 433–453.
——, ——, and ——, 2002b: Retrieval of model initial fields from single-Doppler observations of a supercell thunderstorm. Part II: Thermodynamic retrieval and numerical prediction. Mon. Wea. Rev., 130, 454–476.
Wilhelmson, R. B., and J. B. Klemp, 1981: Three-dimensional numerical simulation of splitting severe storms on 3 April 1964. J. Atmos. Sci., 38, 1558–1580.
Xiao, Q., and J. Sun, 2007: Multiple radar data assimilation and short-range QPF of a squall line observed during IHOP_2002. Mon. Wea. Rev., 135, 3318–3404.
Ziegler, C. L., 1985: Retrieval of thermal and microphysical variables in observed convective storm. Part 1: Model development and preliminary testing. J. Atmos. Sci., 42, 1487–1509.