Numerical assessing experiments on the individual component impact of the meteorological observation network on the "July 2000" torrential rain in Beijing

Acta Meteorologica Sinica

Volumn 20, Issue 4, 2006, Pages 398-401

  Zhang, Chaolin ^a   Chen, Min ^a   Kuo, Ying Hwa ^b   Fan, Shuiyong ^a   Zhong, Jiqin ^a  

^a NATIONAL CLIMATE CENTER   (China)

^b NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

Author keywords

Global positioning system (GPS); Numerical weather prediction (NWP); Observation system experiment; Severe rainfall; Three dimensional variational data assimilation

Indexed keywords

COMPUTER SIMULATION; GPS; NUMERICAL METHOD; PRECIPITATION ASSESSMENT; SEVERE WEATHER; WATER VAPOR; WEATHER FORECASTING;

ASIA; BEIJING [CHINA]; CHINA; EURASIA; FAR EAST;

EID: 33947265502     PISSN: 08940525     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (10)

1. Barker, D. M., W. Huang, Y. -R. Guo, and A. Bourgeois, 2003: A Three-Dimensional Variational (3DVAR) Data Assimilation System for Use with MM5. Available from MM5 3DVAR Web-site http://www.mmm.ucar.edu/ 3dvar.
2. Barker, D. M., Y. R. Guo, W. Huang, 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.
3. Dudhia, J., 1993: A nonhydrostatic version of the Penn State/NCAR mesoscale model: Validation tests and simulation of an Atlantic cyclone and cold front. Mon. Wea. Rev., 121, 1493-1513.
4. Dudhia, J., D. Gill, K. Manning, W. Wang, C. Bruyere, et al., 2003: PSU/ NCAR Mesoscale Modeling System, Tutorial Class Notes and User's Guide: MM5 Modeling System Version 3.
5. Guo Y. R., Y. H. Kuo, J. Dudhia, D. Parsons, and C. Rocken, 2000: Four-dimensional variational data assimilation of heterogeneous mesoscale observations for a strong convective case. Mon. Wea. Rev., 128, 619-643.
6. Lorenc, A. C., S. P. Ballard, R. S. Bell, et al., 2000: The Meteorological Office global three-dimensional variational data assimilation scheme. Quart. J. Roy. Meteor. Soc., 126, 2991-3012.
7. Parrish, D. F., and J. C. Derber, 1992: The National Meteorological Center's spectral statistical interpolation analysis system. Mon. Wea. Rev., 120, 1747-1763.
8. Zhang Chaolin, Ji Chongping, Kuo Ying-Hwa, et al.,2005: Numerical simulation of topography effects on the "July 2000" severe rainfall in Beijing. Progress in Natural Sciences, 15(9), 818-826.
9. Zhang Chaolin and Wang Yingchun, 2002: Numerical study on weather influences of location design of wind profiler network for Beijing Area. Acta Meteorologica Sinica, 60(6), 86-791. (in Chinese)
10. Zhang Xin, Wang Bin, Ji Zhongzheng, et al., 2002: Data assimilation research of 3DVAR on July 1998 heavy rainfall in Wuhan. Progress in Natural Sciences, 12(2), 156-159. (in Chinese)