Key synoptic-scale features influencing the high-impact heavy rainfall in Beijing, China, on 21 July 2012
By: Huizhen Yu and Zhiyong Meng
References
, , , , . estimation of skill and uncertainty in regional numerical models. Q. J. R. Meteorol. Soc. 1989; 115: 763– 806. , , . Algorithm 813: SPG—Software for convex-constrained optimization. ACM Trans. Math. Softw. 2001; 27: 340– 349. , , . Adaptive sampling with the ensemble transform Kalman filter. Part I: theoretical aspects. Mon. Weather Rev. 2001; 129: 420– 436. , , , , , co-authors. The THORPEX interactive grand global ensemble. Bull. Am. Meteorol. Soc. 2010; 91: 1059– 1072. , , , . Probabilistic predictions of precipitation using the ECMWF Ensemble Prediction System. Weather Forecast. 1999; 14: 168– 189. . Observation system experiments for typhoon Nida (2004) using the CNOP method and DOTSTAR data. Atmos. Ocean. Sci. Lett. 2011; 4: 118– 123. , , , , , co-authors. Thinking on the extremes of the 21 July 2012 torrential rain in Beijing Part I: observation and thinking. Meteor. Monogr. 2012; 38( 10 ): 1255– 1266. . Statistical methods for research workers. 1925; Edinburgh, UK: Oliver and Boyd. 378. , . Quality of the target area for metrics with different nonlinearities in a mesoscale convective system. Mon. Weather Rev. 2014; 142: 2379– 2397. , . Ensemble-based analysis of the May 2010 extreme rainfall in Tennessee and Kentucky. Mon. Weather Rev. 2014; 142: 222– 239. , . A new approach to studying ENSO predictability: conditional nonlinear optimal perturbation. Chin. Sci. Bull. 2003; 48: 1045– 1047. , , . A method for identifying the sensitive areas in targeted observations for tropical cyclone prediction: conditional nonlinear optimal perturbation. Mon. Weather Rev. 2009; 137: 1623– 1639. , . Quantitative precipitation forecasts over the United States by the ECMWF Ensemble Prediction System. Mon. Weather Rev. 2001; 129: 638– 663. , , , . Singular vectors, metrics, and adaptive observations. J. Atmos. Sci. 1998; 55: 633– 653. - Qin
, Duan, Mu. Conditions under which CNOP sensitivity is valid for tropical cyclone adaptive observations. Q. J. R. Meteorol. Soc. 2013; 139: 1544– 1554. DOI: http://dx.doi.org/10.1002/qj.2109. - Qin
, Mu. Influence of conditional nonlinear optimal perturbations sensitivity on typhoon track forecasts. Q. J. R. Meteorol. Soc. 2011; 138: 185– 197. DOI: http://dx.doi.org/10.1002/qj.902. , . Nonlinear growth of singular vector-based perturbations. Q. J. R. Meteorol. Soc. 2003; 129: 3059– 3078. . Ensemble-based analysis of factors leading to the development of a multiday warm-season heavy rain event. Mon. Weather Rev. 2011; 139: 3016– 3035. , . ensemble-based forecast uncertainty analysis of diverse heavy rainfall events. Weather Forecast. 2010; 25: 1103– 1122. , . A probabilistic analysis of the dynamics and predictability of tropical cyclogenesis. J. Atmos. Sci. 2008; 65: 3440– 3459. , . Factors affecting the predictability of Hurricane Humberto (2007). J. Atmos. Sci. 2010; 67: 1759– 1778. , , , , , co-authors. Analysis and thinking on the extremes of the 21 July 2012 torrential rain in Beijing Part II: preliminary causation analysis and thinking. Meteor. Monogr. 2012; 38( 10 ): 1267– 1277. , , , . A study on severe heavy rainfall in north China during the 1990s. Clim. Env. Res. 2005; 10( 3): 492– 506. , , , , , co-authors. Observation analysis of Beijing extreme flooding event 21 July 2012. Weather Forecast. Rev. 2012; 4( 5 ): 9– 19. . Investigation of Beijing extreme flooding event on 21 July 2012. Meteor. Monogr. 2012; 38( 11 ): 1313– 1329. - Zhang
, Lin, Zhao, Yu, Wang, co-authors. The Beijing extreme rainfall of 21 July 2012: ‘Right results’ but for wrong reasons. Geophys. Res. Lett. 2013; 40: 1426– 1431. DOI: http://dx.doi.org/10.1002/grl.50304. , , , . Introduction to adjoint techniques and the MM5 adjoint modeling system. 1997; Note, NCAR/ TN2435 + STR, Boulder, CO, USA: NCAR Technical. 110.
DOI: https://doi.org/10.3402/tellusa.v68.31045 | Journal eISSN: 3035-9554
Language: English
Page range: 31045 - 31045
Submitted on: Jan 19, 2016
Accepted on: May 16, 2016
Published on: Dec 1, 2016
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services
Keywords:
© 2016 Huizhen Yu, Zhiyong Meng, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.