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Advances in Meteorology
Volume 2013 (2013), Article ID 259052, 9 pages
http://dx.doi.org/10.1155/2013/259052
Research Article

Prediction of Convective Storms at Convection-Resolving 1 km Resolution over Continental United States with Radar Data Assimilation: An Example Case of 26 May 2008 and Precipitation Forecasts from Spring 2009

Center for Analysis and Prediction of Storms, University of Oklahoma, 120 David Boren Boulevard, Norman, OK 73072, USA

Received 31 May 2013; Revised 2 November 2013; Accepted 3 November 2013

Academic Editor: Kun Zhao

Copyright © 2013 Ming Xue et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [15 citations]

The following is the list of published articles that have cited the current article.

  • Jeffrey D. Duda, Xuguang Wang, Fanyou Kong, and Ming Xue, “Using Varied Microphysics to Account for Uncertainty in Warm-Season QPF in a Convection-Allowing Ensemble,” Monthly Weather Review, vol. 142, no. 6, pp. 2198–2219, 2014. View at Publisher · View at Google Scholar
  • Jia Liu, Jianhua Wang, Shibing Pan, Kewang Tang, Chuanzhe Li, and Dawei Han, “A real-time flood forecasting system with dual updating of the NWP rainfall and the river flow,” Natural Hazards, 2015. View at Publisher · View at Google Scholar
  • Hans-Stefan Bauer, Thomas Schwitalla, Volker Wulfmeyer, Atoossa Bakhshaii, Uwe Ehret, Malte Neuper, and Olivier Caumont, “Quantitative precipitation estimation based on highresolution numerical weather prediction and data assimilation with WRF - a performance test,” Tellus, Series A: Dynamic Meteorology and Oceanography, vol. 67, no. 1, 2015. View at Publisher · View at Google Scholar
  • Jacob T. Carlin, Alexander V. Ryzhkov, Jeffrey C. Snyder, and Alexander Khain, “Hydrometeor Mixing Ratio Retrievals for Storm-Scale Radar Data Assimilation: Utility of Current Relations and Potential Benefits of Polarimetry,” Monthly Weather Review, vol. 144, no. 8, pp. 2981–3001, 2016. View at Publisher · View at Google Scholar
  • Nathan Dahl, and Ming Xue, “Prediction of the 14 June 2010 Oklahoma City Extreme Precipitation and Flooding Event in a Multiphysics Multi-Initial-Conditions Storm-Scale Ensemble Forecasting System,” Weather and Forecasting, vol. 31, no. 4, pp. 1215–1246, 2016. View at Publisher · View at Google Scholar
  • Xuguang Sun, Ming Xue, Jerald Brotzge, Renee A. McPherson, Xiao-Ming Hu, and Xiu-Qun Yang, “An evaluation of dynamical downscaling of Central Plains summer precipitation using a WRF-based regional climate model at a convection-permitting 4 km resolution,” Journal of Geophysical Research: Atmospheres, 2016. View at Publisher · View at Google Scholar
  • Kefeng Zhu, and Ming Xue, “Evaluation of WRF-based convection-permitting multi-physics ensemble forecasts over China for an extreme rainfall event on 21 July 2012 in Beijing,” Advances in Atmospheric Sciences, vol. 33, no. 11, pp. 1240–1258, 2016. View at Publisher · View at Google Scholar
  • J. A. Waller, D. Simonin, S. L. Dance, N. K. Nichols, and S. P. Ballard, “Diagnosing Observation Error Correlations for Doppler Radar Radial Winds in the Met Office UKV Model Using Observation-Minus-Background and Observation-Minus-Analysis Statistics,” Monthly Weather Review, vol. 144, no. 10, pp. 3533–3551, 2016. View at Publisher · View at Google Scholar
  • Yujie Pan, Ming Xue, and Guoqing Ge, “Incorporating Diagnosed Intercept Parameters and the Graupel Category within the ARPS Cloud Analysis System for the Initialization of Double-Moment Microphysics: Testing with a Squall Line over South China,” Monthly Weather Review, vol. 144, no. 1, pp. 371–392, 2016. View at Publisher · View at Google Scholar
  • Lili Yang, Yi Yang, Peng Liu, and Lina Wang, “Radar-Derived Quantitative Precipitation Estimation Based on Precipitation Classification,” Advances in Meteorology, vol. 2016, pp. 1–16, 2016. View at Publisher · View at Google Scholar
  • Adam J. Clark, Ming Xue, Eric D. Loken, and Fanyou Kong, “Comparison of next-day probabilistic severe weather forecasts from Coarse- and fine-resolution CAMs and a convection-allowing ensemble,” Weather and Forecasting, vol. 32, no. 4, pp. 1403–1421, 2017. View at Publisher · View at Google Scholar
  • Luk’yanov, Shestakova, Shumilin, Yu. B. Pavlyukov, Zaripov, and Travov, “The impact of radar data assimilation on atmosphere state analysis in the Moscow region,” Russian Meteorology and Hydrology, vol. 42, no. 6, pp. 357–368, 2017. View at Publisher · View at Google Scholar
  • Bowen Zhou, Ming Xue, and Kefeng Zhu, “A Grid-Refinement-Based Approach for Modeling the Convective Boundary Layer in the Gray Zone: A Pilot Study,” Journal of the Atmospheric Sciences, vol. 74, no. 11, pp. 3497–3513, 2017. View at Publisher · View at Google Scholar
  • Bryan J. Putnam, Ming Xue, Youngsun Jung, Guifu Zhang, and Fanyou Kong, “Simulation of Polarimetric Radar Variables from 2013 CAPS Spring Experiment Storm-Scale Ensemble Forecasts and Evaluation of Microphysics Schemes,” Monthly Weather Review, vol. 145, no. 1, pp. 49–73, 2017. View at Publisher · View at Google Scholar
  • Daniel Brown, and Gerhard Reuter, “WRF Model Simulations of the Influence of the Athabasca Oil Sands Development on Convective Storms,” Earth Interactions, vol. 22, no. 3, pp. 1–25, 2018. View at Publisher · View at Google Scholar