English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

This paper uses high resolution WRF model to simulate a number of heavy rainfall events in summer in Ho Chi Minh city using radar data to assimilation initial conditions with 3DVAR method, the WRF3Dvar running simulation with two modes: cold start and warm start combine with three cases: only Reflectivity of radar; Reflectivity and Doppler radar radial wind observations; Reflectivity, Doppler radar radial wind, and GTS data. The background error used was CV7 created from 6 months forecast in South Vietnam. Radar data before assimilation was quality control and thinned to remove noise and create the best observation. 24 station rainfall in South Vietnam using to an evaluation of WRF model simulation. Results show assimilation only reflectivity will affect to variable Qcloud, Qvapor and Qrain on the initial condition of model and assimilation only Doppler radar radial wind improve wind. Compare each case show warm start simulation precipitation better than the cold start, assimilation both Doppler radar radial wind observations, the reflectivity of radar and GTS better than another case. Keywords: WRFDA, RADAR. References: [1] Dư Đức Tiến va cộng sự , Nghien cứu đồng hoa số liệu Radar Đong Ha để nâng cao chất lượng dự bao mưa lớn cho khu vực miền Trung. Tạp chi Khi tượng Thủy văn 2013, số 632 tr.12-19. – 2013[2] Trần Hồng Thai va cộng sự, Phương phap đồng hoa số liệu nudging cho quan trắc Radar va tac động tới dự bao mưa lớn tren khu vực Bắc Bộ. tạp chi Khi tượng Thủy văn 2016, số 670 tr.1-6. – 2016.[3] Daley, R: Atmospheric Data Analysis, Cambridge University Press, Cambridge, UK, 1991.[4] Sokol, Z: Effects of an assimilation of radar and satellite data on a very short range forecast of heavy convective rainfalls, Atmos. Res., 93, 188–206, 2009.[5] Xiao, Q. and Sun, J.: Multiple radar data assimilation and shortrange Quantitative Precipitation Forecasting of a squall line ob served during IHOP 2002, Mon. Weather Rev., 135, 3381–3404, 2007[6] 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. [7] Xiao, Q., Kuo, Y., Sun, J., Lee, W., Barker, D. M., and Lim, E.: An approach of radar reflectivity data assimilation and its assessment with the inland QPF of Typhoon Rusa (2002) at landfall, J. Appl. Meteorol. Clim., 46, 14–22, 2007.[8] Tong, M. and Xue, M.: Ensemble Kalman filter assimilation of Doppler radar data with a compressible nonhydrostatic model: OSS experiments, Mon. Weather Rev., 133, 1789–1807, 2005[9] J. Liu, M. Bray , and D. Han 2012: A study on WRF radar data assimilation for hydrological rainfall prediction[10] Hitschfeld, W. and Bordan, J.: Error inherent in the radar measurement of rainfall at attenuating wavelengths, J. Meteorol., 11, 58– 67, 1954.[11] Browning, K. A., Pardoe, C. W., and Hill, F. F.: The nature of orographic rain at wintertime cold fronts, Q. J. Roy. Meteorol. Soc., 101, 333–352, 1975.[12] Barker, D. M., W. Huang, Y-R. Guo, A. J. Bourgeois, and Q. N.Xiao, 2004: A three-dimensional variational data assimilation system for MM5: Implementation and initial results. Mon. Wea. Rev., 132,897–914. [13] Skamarock, W. C., J. B. Klemp, J. Dudhia, D. O. Gill, D. M.Barker, W. Wang, and J. G. Powers, 2005: A description of the advanced research WRF version 2. NCAR Tech. Note NCAR/TN-468+STR, 88 pp.[14] Sun, J., and N. A. Crook, 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. [15] Mark A. Askelson 2000: An Adaptation of the Barnes Filter Applied to the Objective Analysis of Radar Data[16] Parrish, D. F., and J. C. Derber, 1992: The National Meteorological Center’s spectral statistical-interpolation analysis system. Mon. Wea. Rev., 120, 1747–1763.

tạp chí khoa học đại học quốc gia hà nội: nghiên cứu giáo dục  (vnu journal of science: education research)/tạp chí khoa học đại học quốc gia hà nội: các khoa học trái đất và môi trường (vnu journal of science: earth and environmental sciences)

Radar Data Assimination in WRF Model to Forecast Heavy Rainfall at Ho Chi Minh City