參考文獻 |
楊靜伃,2012:使用四維變分都卜勒雷達變分分析系統(VDRAS)與WRF改善短期定量降水預報。國立中央大學大氣物理所碩士論文,1–83。
Barnes, S. L., 1973: Mesoscale objective map analysis using weighted time series observations. NOAA Tech. Memo. Erl Nssl-62, 60pp.
Chang, S.-F., J. Sun, Y.-C. Liou, S.-L. Tai, and C.-Y. Yang, 2014: The influence of erroneous background, beam-blocking and microphysical nonlinearity on the application of a four-dimensional variational Doppler radar data assimilation system for quantitative precipitation forecasts. Meteor. Appl., 21, 444–458.
Chang, S.-F., Y.-C. Liou, J. Sun, and S.-L. Tai, 2016: The implementation of the ice phase microphysical process into a four-dimensional Variational Doppler Radar Analysis System(VDRAS) and its impact on parameter retrieval and quantitative precipitation nowcasting. Journal of the Atmospheric Sciences.
Chen, X. C., K. Zhao, J. Z. Sun, B. W. Zhou, and W. C. Lee, 2016: Assimilating surface observations in a four-dimensional variational Doppler radar data assimilation system to improve the analysis and forecast of a squall line case. Adv. Atmos. Sci., doi: 10.1007/s00376-016-5290-0., in press.
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.
Crook, N. A., and J. Sun, 2004 Analysis and Forecasting of the Low-Level Wind during the Sydney 2000 Forecast Demonstration Project. Weather and Forecasting 19:1, 151-167.
Gal-Chen, T., 1978: A method for the initialization of the anelastic equations: Implications for matching models with observations. Mon. Wea. Rev., 106, 587–606.
Hsu, S. A., E. A. Meindl, and D. B. Gilhousen, 1994: Determining the Power-Law Wind-Profile Exponent under Near-Neutral Stability Conditions at Sea. Journal of Applied Meteorology, 33, 757-765.
Kawabata J., H. Seko, K. Saito, T. Kuroda, K. Tamiya, T. Tsuyuki, Wakazuki, 2007: An assimilation and forecasting experiment of the Nerima heavy rainfall with a cloud-resolving nonhydrostatic 4-dimensiojnal variational data assimilation system, J. Meteor. Soc. Japan, 85, 255-276.
Klemp, Joseph B., Robert B. Wilhelmson, 1978: The Simulation of Three-Dimensional Convective Storm Dynamics. J. Atmos. Sci., 35, 1070–1096.
Lin, Y., P. Ray, and K. Johnson, 1993: Initialization of a modeled convective storm using Doppler radar derived fields. Mon. Wea. Rev., 121, 2757–2775.
Peterson, E. W., and J. P. Hennessey, 2010: On the Use of Power Laws 557 for Estimates of Wind Power Potential. J.appl.meteor, 17, 390-394.
Sun, J., and N. A. Crook, 1997: Dynamical and microphysical retrieval from Doppler radar observation using a cloud model and its adjoint. Part I:Model development and simulated data experiments. J. Atmos. Sci., 54,1642–1661.
Sun, J., and N. A. Crook, 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.
Sun, J., 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.
Sun, J., and H. Wang, 2013: Radar data assimilation with WRF 4D-Var: Part II. Comparison with 3D-Var for a squall line over the U.S. Great Plains. Mon. Wea. Rev., 141, 2245–2264.
Tai, S.L., Y.C.Liou., J. Sun., S.F. Chang., and M.C.Kuo,2011: Precipitation Forecasting 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, 26, 975–992.
Warner, T. T., E. E. Brandes, C. K. Mueller, J. Sun, and D. N. Yates, 2000: Prediction of a flash flood in complex terrain. Part I: A comparison of Rainfall estimates from radar, and very short range rainfall simulations from a dynamic model and an automated algorithmic system. J. Appl. Meteor., 39,815–825.
Weisman, M. L. and J.B. Klemp, 1982: The Dependence of Numerically Simulated Convective Storms on Vertical Wind Shear and Buoyancy. Mon.Wea. Rev., 110, 504-520.
Weisman, and R. Rotunno, 2004: “Theory for Strong Long-Lived Squall Lines”Revisited. J. Atmos. Sci., 61, 361-382.
Xiao, Q., Y. H. Kuo, J. Sun, W. C. Lee, E. Lim, Y. R. Guo, and D. M. Barker, 2005:Assimilation of Doppler radar observations with a regional 3DVAR System:Impact of Doppler velocities on forecasts of a heavy rainfall case. J. Appl.Meteor., 44, 768–788. |