Publications

Refereed Publications of CAPS

Publication Year

 

2013

  1. Brotzge, J., and W. Donner, 2013: The tornado warning process: A review of current research, challenges, and opportunities. Bull. Amer. Meteor. Soc., conditionally accepted.
  2. Brotzge, J., S. E. Nelson, R. L. Thompson, and B. T. Smith, 2013: Tornado probability of detection and lead time as a function of convective mode and environmental parameters. Wea. Forecasting, conditionally accepted.
  3. Cao, Q., G. Zhang, and M. Xue, 2013: A variational approach for retrieving raindrop size distribution from polarimetric radar measurements in the presence of attenuation. J. Appl. Meteor. Climatology, 52, 169-185.
  4. Cavallo, S.M., 2013: Seasonal prediction of minumum Artic sea ice extent. J. Geophys. Res., to be submitted.
  5. Cavallo, S.M. and G.J. Hakim: 2013: The physical mechanisms of tropopause polar vortex intenstity change. J. Stmos., Sci., to be submitted.
  6. Cavallo, S.M., R. T. Torn, C. Snyder, C. Davis, W. Wang, and J. Done, 2013: Evaluation of the Advanced Hurricane WRF data assimilation system for the 2009 Atlantic Hurrican season. Mon. Wea. Rev., 141, 523-541.
  7. Clark, A. J., J. Gao, P. T. Marsh, T. Smith, J. S. Kain, J. Correia, Jr., M. Xue, and F. Kong, 2013: Tornado path length forecasts from 2010-2011 using ensemble updraft helicity. Wea. Forecasting, 28, 387-407.
  8. Clark, A.J., J.S. Kain, P.T. Marsh, J. James Correia, M. Xue, and F. Kong, 2013: Application of a 3-dimensional object algorithm to convection-allowing forecasts. Wea. Forecasting, accepted.
  9. Dawson, D. T., II, E. R. Mansell, Y. Jung, L. J. Wicker, M. R. Kumjian, and M. Xue, 2013: Low-level ZDR signatures in supercell forward flanks: The role of size sorting and melting of hail. J. Atmos. Sci., Under review.
  10. Doughty, D. C., J. D. Fuentes, R. Sakai, X.-M. Hu, and K. J. Sanchez (2013), Nocturnal isoprene declines in a semi-urban environment, J. Atmos. Chem., DOI:10.1007/s10874-012-9247-0.
  11. Drobinski P., Karbou F., Bauer P., Cocquerez P., Lavaysse C., Hock T., Parson D., Robier F., Redelsperger J.-L., Venel, 2013: Driftsonde overservations to evaluate numerical weather prediction of the late 2006 African monsoon. J. Appl. Meteor. Clim., early release on-line.
  12. Gasperoni, N. A., M. Xue, R. D. Palmer, and J. Gao, 2013: Sensitivity of convective initiation prediction to near-surface moisture when assimilating radar refractivity: Impact tests using OSSEs. J. Atmos. Ocean. Tech., Conditionally accepted.
  13. Ge, G., J. Gao, and M. Xue, 2013: Impacts of assimilating measurements of different sate variables on the analysis and forecast of a supercell storm using three dimensional variational method. Mon. Wea. Rev., Accepted.
  14. Hall, J.D., M. Xue, L. Ran and Lance M. Leslie, 2013: High-resolution modeling of typhonn Morakot (2009): Vortex Rossby waves and their and their role in extreme precipitation over Taiwan. J. Atmos. Sci., 70, 163-186.
  15. Hu, X.-M., P. M. Klein, M. Xue, J. K. Lundquist, and F. Zhang, 2013: Impact of low-level jets on the ncturnal urban heat island intensity in Oklahoma City. J. Appl. Meteor. Climatol., Conditionally accepted.
  16. Hu, X.-M., P. Klein , M. Xue , A. Shapiro, A.Nallapareddy, 2013: A nocturnal warming event associated with a cold-front sassage in Oklahoma, J. Geophy. Res., Conditionally accepted.
  17. Hu, X.-M., P. M. Klein, M. Xue, F. Zhang, D. C. Doughty, and J. D. Fuentes, 2013: Impact of the vertical mixing-induced by low-level jet on boundary layer ozone concentration. Atmos. Environment, Accepted.
  18. Kain, J. S., M. C. Coniglio, J. Correia, A. J. Clark, P. T. Marsh, C. L. Ziegler, V. Lakshmanan, S. D. Miller, S. R. Dembek, S. J. Weiss, F. Kong, M. Xue, R. A. Sobash, A. R. Dean, I. L. Jirak, and C. J. Melick, 2013: A feasibility study for probabilistic convection initiation forecasts based on explicit numerical guidance. Bull. Amer. Meteor. Soc., Submitted.
  19. Klein, P. M., X.-M. Hu, and M. Xue, 2013: Mixing processes in the nocturnal atmospheric boundary layer and their impacts on urban ozone concentrations. Bound. Layer. Meteor., Submitted.
  20. Lakshmivarahan, S., J.M. Lewis and Dung Phan 2013: Data assimilation as a problem in optimal tracking: Application of Pontryagin's minimum principle. J. Atmos. Sci., accepted.
  21. Lee, J.-G. and M. Xue, 2013: A Study on a snowband associated with a coastal front and cold-air damming event of 3-4 February 1998 along the eastern coast of the Korean peninsula. Adv. Atmos. Sci., ADV. Atmos. Sci, 30, 263-279.
  22. Martin, W. J. and M. Xue, 2013: Determining sensitivities, impacts and error covariances from very large ensembles with randomly perturbed initial conditions. Quart J. Roy. Met. Soc., Under review.
  23. Martin, W. J. and M. Xue, 2013: Evolved and random perturbation methods for calculating model sensitivities and covariances. Quart J. Roy. Met. Soc., Conditionally accepted.
  24. McGovern, A., D.J. Gagne II, J.K. Williams, R.A. Brown, and J.B. Basara, 2013: Enchancing understanding and improving prediction of severe weather through spa-tiotemporal realtional learning. Machine Learning, to appear.
  25. Rabier F., Cohn S., Cocquerez P., Hertzog A., Avallone L., Deshler T., Haase J., Hock T., Doerenbecher A., Wang J., Guidard V., Thepaut J.-N., Langlan R., Tangborn A., Balsamo G., Brun E., Parsons D., Bordereau J., Cardinali C., Danis F., Escarnot J.-P., Fourrie N., Gelara R., Genthon C., Ide K., Kalnajs L., Martin C., Meunier L.-F., Nicot J.-M., Peerrula T., Potts N., Ragazzo P., Richardson D., Sosa-Sesma S., Vargas A. 2013: The Concordiasi field experiment over Antarctica: First results from innovative atmospheric measurements, Bull. Amer. Meteor. Soc, early release on line.
  26. Shimose, K.., M. Xue, R. D. Palmer, J. Gao, B. L. Cheong, and D. J. Bodine, 2013: Two-dimensional variational analysis of near-surface moisture from simulated radar refractivity-related phase change observations. Adv. Atmos. Sci., 30, 1-15.
  27. Schumacher, R. S., A. J. Clark, M. Xue and F. Kong, 2013: Factors influencing the development and maintenence of noturnal heavy-rain-producing convective systems in a storm-scale ensemble. Mon. Wea. Rev., Accepted.
  28. Stensrud, D.J., L.J. Wicker, M.Xue, D.T. Dawson II, N. Yussouf, D.M. Wheatley, T.E. Thompson, N.A. Snook, T.M. Smith, A.D. Schenkman, C.K. Potvin, E.R. Mansell, T. Lei, K.M. Kulman, Y. Jung, T.A. Jones, J. Gao, M.C. Coniglio, H.E. Brooks, and K.A. Brewster, 2013: Progress and challenges with Warn-on-Forecast. Elsevier Editorial System for Atmospheric Research, in press.
  29. Stratman, D. R., M. C. Coniglio, S. E. Koch, and M. Xue, 2013: Use of multiple verification methods to evaluate forecasts of convection from hot- and cold-start convection-allowing models. Wea. Forecasting, Accepted.
  30. Tanamachi, R.L., L.J. Wicker, D.C. Dowell, H.B. Bluestein, and M. Xue 2013: EnKF assimilation of high-resolution, mobile Doppler radar data of the 4 May 2007 Greensburg, Kansas supercell into a numerical cloud mode. Mon. Wea. Rev., accepted.
  31. Tanamachi, R. L., H. B. Bluestein, M. Xue, W.-C. Lee, K. A. Orzel, S. J. Frasier, and R. M. Wakimoto, 2013: Near-surface vortex structure in a tornado and a tornado-like vortex observed by a mobile, W-band radar during VORTEX2. Mon. Wea. Rev., Conditionally accepted.
  32. Xu X., Xue M., and Wang Y., 2013: Gravity wave momentum flux in directional shear flows over three-dimensional mountains: Linear and nonlinear numerical solutions as compared to linear analytical solutions. J. Geophy. Res., Conditionally accepted.
  33. Xue, M., and J. Dong, 2013:, Impact of assimilating best track minimum sea level pressure data together with coastal Doppler radar data on hurricane analysis and prediction at a cloud-resolving resolution, Acta Meteorologica Sinica, Accepted.
  34. Xue, M., J. Schleif, F. Kong, K. K. Thomas, Y. Wang, K. Zhu, and J. S. Whitaker, 2013: Track and intensity forecasting of Hurricanes: Impact of cloud-resolving resolution and ensemble Kalman filter data assimilation on 2010 Atlantic season forecasts. Wea. Forecasting, Accepted.
  35. Wang, Y., Y. Jung, T. A. Supinie, and M. Xue, 2013: A hybrid MPI/OpenMP parallel algorithm and performance analysis for an ensemble square root filter suitable for dense observations. J. Atmos. Ocean. Tech., Accepted with minor revisions.
  36. Wang, S., M. Xue, A.D. Schenkman, and J. Min, 2013: An iterative ensemble square root filter and tests with simulated radar data for storm scale data assimilation. Quart. J. Roy. Meteor. Soc., in press.

 

2012

  1. Berenguer, M., M. Surcel, I. Zawadzki, M. Xue, and F. Kong, 2012: The diurnal cycle of precipitation from continental radar mosaics and numerical weather prediction models. Part II: Intercomparison between numerical models and with nowcasting. Mon. Wea. Rev., 140, 2689-2705.
  2. Cavallo, S.M. and G.J. Hakim, 2012: Radiative impact on tropopause polar vortices over the Artic. Mon. Wea. Rev., 140, 1683-1702.
  3. Clark, A. J., J. S. Kain, P. T. Marsh, J. Correia, Jr., M. Xue, and F. Kong, 2012: Forecasting tornado pathlengths using a three-dimensional object identification algorithm applied to convection-allowing forecasts. Wea. Forecasting, 27, 1090-1113.
  4. Clark, A.J., S.J., Weiss, J.S. Kain, I.L. Jirak, M. Coniglio, C.J. Melick, C. Siewart, R.A. Sobash, P.T. Marsh, A.R. Dean, M. Xue, F. Kong, K.W. Thomas, Y. Wang, K. Brewster, J. Gao, X. Wang, J. Du, D.R. Novak, F. Barthold, M.J. Bodner, J.J. Levit, C.B. Entwistle, T. L. Jensen, and J.James Correia, 2012: An Overview of the 2010 Hazardous Weather Testbed Experimental Forecast Program Spring Experiment. Bull. Amer. Meteor. Sci, 93, 55-74.
  5. Dong, J., and M. Xue, 2012: Assimilation of radial velocity and reflectivity data from coastal WSR-88D radars using ensemble Kalman filter for the analysis and forecast of landfalling hurrican IKE (2008). Quart. J. Roy. Meteor. Soc., DOI: 10.1002/qj.1970.
  6. Drobinski P., Cocquerez P., Doerenbecher A., Hock T., Lavaysse C., Parsons D., Redelsperger J.L., Venel S., 2012: Hurricane and Monsoon Tracking with Driftsondes. Encyclopedia of Sustainability Science and Technolog, ed. Springer.
  7. Du, N., M. Xue, K. Zhao, and J. Min, 2012: Impact of assimilating airborne Doppler radar velocity data using the ARPS 3DVAR on the analysis and prediction of hurricane Ike (2008). J. Geophy. Res., 117, D18113.
  8. Gagne II, David John, A. McGovern, J. Basara, and R.A. Brown, 2012: Tornadic Supercell Environments Analyzed Using Surface and Reananlysis Data: A Spatiotemporal Relational Data Mining Approach. J. Appl. Meteor. and Climatol., 51, 2203-2217.
  9. Ge, G., J. Gao, M. Xue, and K. K. Droegemeier, 2012: Diagnostic pressure equation as a weak constraint in a storm-scale three dimensional variational radar data assimilation system. J. Atmos. Ocean. Tech., 29, 1075-1092.
  10. Gourley, J. J., J. M. Erlingis, Y. Hong and E. B. Wells, 2012:  Evaluation of Tools Used for Monitoring and Forecasting Flash Floods in the United States. Weather and Forecasting, 27(1), 158-173.
  11. Grout, T., Y. Hong, J. Basara, B. Balasundaram, Z. Kong and S. T. S. Bukkapatnam , 2012:   Significant Winter Weather Events and Associated Socioeconomic Impacts (Federal Aid Expenditures) across Oklahoma: 2000–10.   Weather, Climate, and Society, 4(1), 48-58.
  12. Holland, B., and X. Wang, 2012: Effects of sequential or simultaneous assimilation of observations and localization methods on the performance of the ensemble Kalman filter. Q.J.R. Meteo. Soc.
  13. Hong, Y., S. Chen, X. Xue and G. Hodges, 2012: Global Precipitation Estimation and Applications. Multiscale Hydrologic Remote Sensing, Ni-Bin Chang and Yang Hong, Eds., Taylor & Francis, 371-386.
  14. Hong, Y., S. Khan, C. Liu, and Y. Zhang, 2012: Global Soil Moisture Estimation Using Microwave Remote Sensing. Multiscale Hydrologic Remote Sensing, Ni-Bin Chang and Yang Hong, Eds., Taylor & Francis, 399-410.
  15. Hong, Y., Z. Liao, R.F. Adler, and C. Liu (2012), “Satellite Remote Sensing for Landslide Prediction”, Book Chapter 9th in N.B. Chang (ed.) Environmental Remote Sensing and System Analysis, Taylor & Francis Group-CRC Press, ISBN 978-1-4398-7743-2, 520page, P191-208 (Links: http://www.amazon.com/Environmental-Remote-Sensing-Systems-Analysis/dp/1439877432
  16. Hu, X.-M., D. Doughty, K.J. Sanchez, E. Joseph, and J. D. Fuentes (2012), Ozone variability in the atmospheric boundary layer in Maryland and its implications for vertical transport model, Atmos. Environ.,46,354-364.
  17. Jiang, S.; L.L. Ren, Y. Hong, B. Yong, X. Yang, F. Yuan, and M. Ma, 2012: Comprehensive evaluation of multi-satellite precipitation products with a dense rain gauge network and optimally merging their simulated hydrological flows using the Bayesian model averaging method.   Journal of Hydrology, 452–453, 213–225.
  18. Johnson, A., and X. Wang, 2012a: Verification and calibration of neighborhood and object-based probabilistic precipitation forecasts from a multi-model convection-allowing ensemble. Mon. Wea. Rev., 140, 3054-3077.
  19. Johnson, A., and X. Wang, 2012b: Object-based evaluation of a storm scale ensemble during the 2009 NOAA Hazardous Weather Testbed Spring Experiment. Mon. Wea. Rev.
  20. Jung, Y., M. Xue, and M. Tong, 2012: Ensemble Kalman filter analyses of the 29-30 May 2004 Oklahoma tornadic thunderstorm using one-and two-moment bulk microphysics schemes. Mon. Wea. Rev.,140, 1457-1475.
  21. Khan, S. I., Y. Hong, H. J. Vergara, J. J. Gourley, G. R. Brakenridge, T. De Groeve, Z. L. Flamig, F. Policelli and B. Yong,  2012:  Microwave Satellite Data for Hydrologic Modeling in Ungauged Basins.   Geoscience and Remote Sensing Letters, IEEE, 9(4), 663-667.
  22. Klein, P., 2012: Metropolation effects on atmospheric patterns: important scales. Metropolitan sustainability: Understanding and improving the urban environment. F. Zeeman (Ed.), Woodhead Publishing Series in Energy: Number 34.
  23. Lakshmivarahan, S., and J.M. Lewis 2012: Nudging Methods: A Critical Overview. A chapter in Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications. Vol II, edited by Seon Ki Park and L. Liang, Springer Verlag.
  24. Kirschbaum, D. B., R. Adler, Y. Hong, S. Kumar, C. Peters-Lidard and A. Lerner-Lam  2012:  Advances in landslide nowcasting: evaluation of a global and regional modeling approach. Environmental Earth Sciences, 66(6), 1683-1696.
  25. Kirstetter, P.E., Y. Hong, J.J. Gourley, S. Chen, Z. Flamig, J. Zhang, M. Schwaller, W. Petersen, and E. Amitai, 2012: Toward a Framework for Systematic Error Modeling of Spaceborne Precipitation Radar with NOAA/NSSL Ground Radar-based National Mosaic QPE. Journal of Hydrometeorology, 13(4), 1285-1300.
  26. Lei, L., G. Zhang, R.J. Doviak, R.D. Palmer, B.L. Cheong, M. Xue, Q. Cao, and Y. Li, 2012: Multi-lag correlation estimators for polarimetric radar measurements in the presence of noise. J. Atmos. Ocean Tech., 29, 772-795.
  27. Lewis, J.M. and S. Lakshmivarahan 2012: A Question of Adequacy of observations in Variational Data Assimilation. A chapter in Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications. Vol II, edite by Seon Ki Park and L. Liang, Springer Verlag.
  28. Li, Y., X. Wang, and M. Xue 2012: Assimilation of Radar Radial Velocity Data with the WRF Hybrid Ensemble-3DVAR System for the Prediction of Hurricane Ike (2008). Mon. Wea. Rev., 140, 3507-3524.
  29. Liao, Z., Y. Hong, D. Kirschbaum and C. Liu  2012:  Assessment of shallow landslides from Hurricane Mitch in central America using a physically based model.   Environmental Earth Sciences, 66(6), 1697-1705.
  30. Liu, L., Y. Hong, C. Bednarczyk, B. Yong, M. Shafer, R. Riley and J. Hocker  2012:  Hydro-Climatological Drought Analyses and Projections Using Meteorological and Hydrological Drought Indices: A Case Study in Blue River Basin, Oklahoma.   Water Resources Management, 26(10), 2761-2779.
  31. Liu, L., Y. Hong, J. E. Hocker, M. Shafer, L.M. Carter, J.J. Gourley, C.N. Bednarczyk, B. Yong, and P. Adhikari, 2012: Analyzing projected changes and trends of temperature and precipitation in the southern USA from 16 downscaled global climate models. Theoretical and Applied Climatology, 109(3-4), 345-360.
  32. Mahale, V., J. Brotzge, and H. Bluestein, 2012: An analysis of vortices embedded within a quasi-linear convective system using X-band polarimetric radar. Wea. Forecasting, 27, 1520-1537.
  33. Ni-Bin Chang and Yang Hong (2012), Book “Multiscale Hydrologic Remote Sensing: Prospects and Applications”, Taylor & Francis Group-CRC Press, ISBN 978-1-4398-7745-6, 550 Page (Link: http://www.amazon.com/Multiscale-Hydrologic-Remote-Sensing-Perspectives/dp/1439877459), Adopted as textbook for Remote Sensing Hydrology Course.
  34. Ni-Bin, Chang. and Y. Hong, 2012: Toward Multiscale Hydrologic Remote Sensing for Creating Integrated Hydrologic Observatories. Multiscale Hydrologic Remote Sensing, Ni-Bin Chang and Yang Hong, Eds., Taylor & Francis, 1-6.
  35. Potvin, C. K., A. Shapiro, and M. Xue, 2012: Impact of a vertical vorticity constraint in variational dual-Doppler wind analysis: Tests with real and simulated supercell data. J. Atmos. Oceanic Technol., 29, 32-49.
  36. Potvin, C.K., L.J. Wicker, and A. Shapiro, 2012: Assessing errors in a variational dual-Doppler wind syntheses of supercell thunderstorms ovserved by storm-scale mobile radars. J. Atmos. Oceanic Technol. 29, 1009-1025.
  37. Qiu, L., M. Gan, K. Wang, J. Deng, Y. Hong, J. Xu, and W. Zhu , 2012: Source Identification of soil Cu, Zn, Pb, AND Cd from anthropogenic activities by decision tree analysis in Fuyang County, China." Fresenius Environmental Bulletin, 21(6), 1390-1398.
  38. Sadiq, K., Y. Hong and J. Wang, 2012: Multispectral Satellite Data for Flood Monitoring and Inundation Mapping. Multiscale Hydrologic Remote Sensing, Ni-Bin Chang and Yang Hong, Eds., Taylor & Francis, 251-268.
  39. Schenkman, A., M. Xue, and A. Shapiro, 2012: Tornadogenesis in a simulated mesovortex within a real-data-initialized mesoscale convective system. J. Atmos. Sci, 69, 3372-3390.
  40. Shapiro, A., B. Burkholder, and E. Fedorovich, 2012: Analytical and numerical investigation of two-dimensional katabatic flow resulting from local surface cooling. Bound.-Layer Meteor., 145, 249-272.
  41. Shapiro, A., and E. Fedorovich, 2012: Secularly growing oscillations in a stratified rotating fluid. Phys. Fluids, 24, 054107.
  42. Shen, X.; Q. Qin, Y. Hong, and G. Zhang 2012:  A matrix inversion approach of computing T-matrix for axially symmetrical particles of extreme shape and dielectrically large dimension. Radio Science, 47(5), RS5005.
  43. Snook, J., M. Xue, and Y. Jung, 2012: Ensemble probabilistic forecasts of a tornadic mesoscale convective system from ensemble Kalman filter analyses using WSR-88D and CASA radar data. Mon. Wea. Rev., 140, 2126-2146.
  44. Snow, J.T., Zeng X., Klein, P., Ebelt Sarnat, S., Shepherd M., Stanley E.M., 2012: Scoping the Problem, Defining the Needs. Board on Atmospheric Sciences and Climate; Division on Earth and Life Sciences; National Research Countil. Urban Meteorology: Forecasting, Monitoring and Meeting Users' Needs, National Academies of Sciences, ISbn 978-0-309-25217-1, 190 pp.
  45. Tanamachi, R.L., H.B. Bluestein, J.B. Houser, S.J. Frasier, and K.M. Hardwick, 2012: Mobile, X-band, polarimetric Doppler radar observations of the 4 May 2007 Greensburg, Kansas tornadic supercell. Mon. Wea. Rev., 140, 2103-2125.
  46. Thompson, E.T., L.J. Wicker and X. Wang 2012: Impact from a volumetric radar sampling operator for radial velocity observations within EnKF supercell assimilaion. J. Atmos. Oceanic Technol., 29, 1417-1427.
  47. Wang, Q.-W. and M.Xue, 2012: Convective initation on 19 June 2002 during IHOP: High-resolution simulations and analysis of the mesoscale structures and convection initiations. J. Geophy. Res., 117, D12107.
  48. Wang, S., M. Xue, and J. Min, 2012: A four-dimensional asynchronous ensemble square-root filter (4DEnSRF) and tests with simulated radar data. Quart. J. Roy. Meteor. Soc., DOI:10.1002/qj.1987.
  49. Wang, M., K. Zhao, W.-C. Lee, B.J.-D. Jou, and M. Xue, 2012: The gradient velocity track display (GrVTD) technique for retrieveing tropical cyclone primary circulation from aliased velocities measured by single Doppler radar. J. Atmos. Ocean. Tech., 29, 1026,1041.
  50. Wu, H.; R.F. Adler, Y. Hong, Y. Tian, and F. Policelli, 2012:  Evaluation of Global Flood Detection Using Satellite-Based Rainfall and a Hydrologic Model.   Journal of Hydrometeorology, 13(4), 1268–1284.
  51. Wurman, J., D. Dowell, Y. Richardson, P. Markowski, D. Burgess, L. Wicker, and H. Bluestein 2012: The Second Verification of the Origins of Rotation in Tornadoes Experiment: VORTEX2. Bull. Amer. Meteor. Soc., 93, 1147-1170.
  52. Xu, X., Y. Wang, and M. Xue, 2012: Momentum flux and flux divergence of gravity waves in directional shear flows over three-dimensional mountains. J. Atmos. Sci., 69, 3733-3744.
  53. Yong, B.; Y. Hong, L.L. Ren, J.J. Gourley, G.J. Huffman, X. Chen, W. Wang, and S.I.Khan,  2012:  Assessment of evolving TRMM-based multisatellite real-time precipitation estimation methods and their impacts on hydrologic prediction in a high latitude basin.   Journal of Geophysical Research, 117(D9), D09108.
  54. Yong, B.; L.L. Ren, Y. Hong, J.J. Gourley, X. Chen, Y.J. Zhang, X.L. Yang, Z.X. Zhang, and W.G. Wang, 2012:  A novel multiple flow direction algorithm for computing the topographic wetness index.   Hydrology Research, 43(1-2), 135-145.
  55. Zahraei, A.; K-L. Hsu, S. Sorooshian, J.J. Gourley, V.  Lakshmanan, Y. Hong, and T. Bellerby, T.,  2012:  Quantitative Precipitation Nowcasting: A Lagrangian Pixel-Based Approach.   Atmospheric Research, 118, 418–434.
  56. Zhao, K., X. Li, M. Xue, B.J.-D. Jou, and W.-C. Lee, 2012: Short-term forecasting through intermittent assimilation of data from Taiwan and Mainland China coastal radars for typhoon Meranti (2010) at landfall. J. Geophy. Res., 117, D06108.
  57. Zhao, K., M. Xue, and W.-C. Lee, 2012: Assimilation of GBVTD-retrieved winds from single-Doppler radar for short-term forecasting of Super Typhoon Saomai (0608) at landfall. Quart. J. Roy. Meteor. Soc., 138, 1055–1071.
  58. Zhu, Meijun and Dou, J., 2012: Two dimensional Lp Minkowski problem and nonlinear equations with negative exponents. Adv. Mat. 230, 1209-1221.

2011

  1. Bodine, D., Michaud, D., R.D. Palmer, P.L. Heinselman, J. Brotzge, N. Gasperoni, B.L. Cheong, M. Xue, and J. Gao, 2011: Understanding radar refractivity: Sources of uncertainty. J. Atmos. Ocean Tech., 50,2543-2560.
  2. Brotzge, J., S. Erickson and H. Brooks, 2011: A five-year climatology of tornado false alarms. Wea. Forecasting, 26, 534-544.
  3. Clark, A.J., J.S. Kain, D.J. Stensrud, M. Xue, F. Kong, M.C. Coniglio, K.W. Thomas, Y. Wang, K. Brewster, J. Gao, X. Wang, S.J. Weiss, D. Bright, and J. Du, 2011: Probabilistic precipitation forecast skill as a function of ensemble size and spatial scale in a convection-allowing ensemble. Mon. Wea. Rev., 139, 1410-1418.
  4. Dong, J., M. Xue, and K.K. Droegmeier, 2011: The analysis and impact of simulated high-resolution surface observations in addition to radar data for convective storms with an ensemble Kalman filter. Meteor, Atmos., Phy., 112, 41-61.
  5. Hoekstra, S.K. Klockow, R. Butterworth, J. Brotzge, S. Erickson, and H. Brooks, 2011: A social perspective of warn on forecast: Ideal tornado warning lead time and the general public's perceiptions of weather risks. Weather, Climate, and Society, 3, 128-140.
  6. Hu, X.-M., F. Zhang, G. Yu, J.D. Fuentes, and L. Wu, 2011: Contribution of mixed-phase boundary layer clouds to the termination of ozone depletion events in the Arctic, Geophys. Res. Lett 38, L21801, doi:1029/2011GL049229.
  7. Johnson, A., X. Wang, F. Kong, and M. Xue, 2011a: Hierarchical cluster analysis of a convection-allowing ensemble during the Hazardous Weather Testbed 2009 Spring Experiment. Part I: Development of object-oriented cluster analysis method for precipitation fields. Mon. Wea. Rev., 139, 3673-3693.
  8. Johnson, A., X. Wang, F. Kong, and M. Xue, 2011b: Hierarchical cluster analysis of a cinvection-allowing ensemble during the Hazardous Weather Testbed 2009 Spring Experiment. Part II: Season-long ensemble clustering and implication for implication for optimal ensemble design. Mon. Wea. Rev., 139, 3694-3710.
  9. Limpasuvan, V., M. Alexander, Y. Orsolini, D. Wu, M. Xue, J. Richter, and C. Yamashita, 2011: Mesoscale simulations of gravity waves during the 2009 major stratospheric suddent warming., J. Geophy. Res., In press.
  10. Nallapareddy, A., A. Shapiro, and J.J. Gourley, 2011: A climatology of nocturnal warming events associated with colf front passages in Oklahoma. J. Appl. Meteor. Climatol.,50,2042-2061.
  11. Potvin, C.K., A. Shapiro, M. Biggerstaff, and J. Wurman, 2011: The VDAC technique: A variational method for detecing and characterizing convective vortices in multiple-Dopper radar data. Mon. Wea. Rev., 139, 2593-2613.
  12. Potvin, C.K., A. Shapiro, and M. Xue, 2011: Impact of a vertical vorticity constraint in variational dual-Doppler wind analysis: Tests with real and simulated supercell data. J. Atmos. Oceanic Technol. ,139, 2593-2613.
  13. Shapiro, A., K.M. Willingham, and C.K. Potvin, 2010: Spatially variable advection correction of radar data. Part I: Theoretical considerations. J. Atmos. Sci., 67, 3445-3456.
  14. Shapiro, A., K. M. Winningham, and C.K. Potvin, 2010: Spatially variable advection correction of radar data. Part II: Test result. J. Atmos. Sci., 67, 3457-3470.
  15. Schenkman, A., M. Xue, A. Shapiro, K. Brewster, and J. Gao, 2011: Impact of CASA radar and Oklahoma mesonet data assimilation on the analysis and prediction of tornadic mesovortices in a MCS. Mon. Wea. Rev., 139, 3422-3445
  16. Schenkman, A., M. Xue, A. Shapiro, K. Brewster, and J. Gao, 2011: The analysis and prediction of the 8-9 May 2007 Oklahoma tornadic mesoscale convective system by assimilating WSR-88D and CASA radar data using 3DVAR. Mon. Wea. Rev., 139, 224-246.
  17. Snook, N., M. Xue, and J. Jung, 2011: Analysis of a tornadic mesoscale convective vortex based on Ensemble Kalman Filter assimliation of CASA X-band and WSR-88D radar data, Mon., Wea. Rev., 139, 3446-3468.
  18. Zhang, G., S. Luchs, A.V. Ryzhkov, M. Xue, L. Ryzhkova, and Q. Cao, 2011: Winter precipitation microphysics characterized by polarimetric radar and video disdrometer observations in central Oklahoma. J. Appl., Meteor. Climatol., 50, 1558-1570.
  19. Zhao, K., M. Xue, and W.-C. Lee, 2011: Assimilation of GBVTD-retrieved winds from single-Doppler radar for short-term forecasting of Super Typhoon Saomai (0608) at landfall,Quart. J. Roy. Meteor. Soc., DOI: 10.1002/qj.975.

2010

  1. Axelsen, S. L., A. Shapiro, E. Fedorovich, and H. van Dop, 2010: Analytical solution for katabatic flow induced by an isolated cold strip. Env. Fluid Mech., 10, 387-414.
  2. Brotzge, J., and S. Erickson, 2010: Tornadoes with no NWS warning.  Wea. Forecasting, 25, 159-172.
  3. Brotzge, J., K. Hondl, B. Philips, L. Lemon, E. Bass, D. Rude, and D. Andra, Jr., 2010: Evaluation of Distributed Collaborative Adaptive Sensing for detection of low-level circulations and implications for severe weather warning operations.  Wea. Forecasting, 25, 173-189.
  4. Burkholder, B., E Fedorovich, and A. Shapiro, 2010: Evaluating sub-grid scale models for large-eddy simulation of turbulent katabatic flow. In Quality and Reliability of Large- Eddy Simulations II, Springer, 149-160.
  5. Clark, A. J., W. A. Gallus Jr., M. Xue, and F. Kong, 2010: Growth of spread in convection-allowing and convection-parameterizing ensembles Wea. Forecasting, 25, 594-612.
  6. Clark, A.J., W.A. Gallus Jr., M. Xue, and F. Kong, 2010: Convection-allowing and convection-parameterizing ensemble forecasts of a mescoscale convective vortex and associated severe weather. Wea. Forecasting, 25, 1052-1081.
  7. Coniglio, M. C., K. L. Elmore, J. S. Kain, S. Weiss, and M. Xue, 2010: Evaluation of WRF model output for severe-weather forecasting from the 2008 NOAA Hazardous Weather Testbed Spring Experiment. Wea. Forecasting, 25, 408-427.
  8. Dawson, D. T., II, M. Xue, J. A. Milbrandt, and M. K. Yau, 2010: Comparison of evaporation and cold pool development between single-moment and multi-moment bulk microphysics schemes in idealized simulations of tornadic thunderstorms. Mon. Wea. Rev., 138, 1152-1171..
  9. Ge, G., J. Gao, K. Brewster, and M. Xue, 2010: Impacts of beam broadening and earth curvature on 3D variational radar data assimilation with two Doppler radars. J. Atmos. Ocean Tech., 27, 617-636.
  10. Hacker, J.P., S.-Y. Ha, C. Snyder, J. Berner, F.A. Eckel, E. Kuchera, M. Pocernich, S. Rugg, J. Schramm, and X. Wang, 2010: The U.S. Air Forece Weather Agency's mesoscale ensemble: Scientific description and performance resulst. Tellus, in press,
  11. LaDue, D., Heinselman, P., Newman, Jennifer, 2010: Strengths and Limitations of Current Radar Systems for Two Stakeholder Groups in Southern Plains. Bull. Am.Meteor. Soc., 91, 899-910.
  12. Jung, Y., M. Xue, and G. Zhang, 2010: Simultaneous estimation of microphysical parameters and atmospheric state using simulated polarimetric radar data and ensemble Kalman filter in the presence of observation operator error, Mon. Wea. Rev., 138, 539-562.
  13. Jung, Y., M. Xue, and G. Zhang, 2010: Simulations of polarimetric radar signatures of a supercell storm using a two-moment bulk microphysics scheme. J. Appl. Meteor. Climatol., 49, 146-163.
  14. Kain, J. S., M. Xue, M. C. Coniglio, S. J. Weiss, F. Kong, T. L. Jensen, B. G. Brown, J. Gao, K. Brewster, K. W. Thomas, Y. Wang, C. S. Schwartz, and J. J. Levit, 2010: Assessing advances in the assimilation of radar data within a collaborative forecasting-research environment. Wea. Forecasting, 25, 1510-1521.
  15. Karanl, H., P. J. Fitzpatrick, C.M. Hill, Y. Li, Q. Xiao, E. Lim, 2010: The Formation of Multiple Squall Lines and the Impact of WSR-88D Radial Winds in a WRF simulation Northern Gulf Institute. Weather and Forecast, 25, 242-262.
  16. Schenkman, A., M. Xue, A. Shapiro, K. Brewster, and J. Gao, 2010: Impact of radar data assimilation on the analysis and prediction of the 8-9 May 2007 Oklahoma tornadic mesoscale convective system, Part II: Sub-storm-scale mesovortices on a 400 m Grid. Mon. Wea. Rev.,139, 224-246.
  17. Schwartz, C. S., J. S. Kain, S. J. Weiss, M. Xue, D. R. Bright, F. Kong, K. W. Thomas, J. J. Levit, M. C. Coniglio, M. S. Wandishim, 2010: Toward improved convection-allowing ensembles: Model physics sensitivities and optimizing probabilistic guidance with small ensemble membership. Weather and Forecasting, 25, 263-280.
  18. Shapiro, A., and E. Fedorovich, 2010: Analytical description of a nocturnal low-level jet. Q. J. Roy. Met. Soc., 136, 1255-1262.
  19. Xue, M., Y. Jung, and G. Zhang, 2010: State estimation of convective storms with a two-moment microphysics scheme and ensemble Kalman filter: Experiments with simulated radar data Q. J. Roy. Meteor. Soc, 136, 685-700..
  20. Wang, X., 2010: Incorporating ensemble covariance in the Gridpoint Statistical Interpolation (GSI) variational minimization: a mathematical framework. Mo. Wea.Rev., 138, 2990-2995.

2009

  1. Bodine, D., P. M. Klein, S. C. Arms, and A. Shapiro, 2009: Variability of surface air temperature over gently-sloped terrain. J. Appl. Meteor. Climatol., 48, 1117–1141.
  2. Brewster, K.A.,  F.H. Carr, J. Gao, W. Lapenta, G. Jedlovic, 2009:  Impact of the Assimilation of AIRS Soundings and AMSR-E Rainfall on Short Term Forecasts of Mesoscale Weather, Final Report to NASA Grant NNG04GM66G, 36 pp.
  3. Brewster, K.A., K.C. Crawford, J.E. Hocker, R. McPherson, W.G. McPherson, Jr., K.L. Nemunaitis, M. Sumpor, and contributors.  K.C. Crawford Project Director, 2009: DHMZ Modernization Project: Final Report for the Meteorological and Hydrological Service of the Republic of Croatia.  410 pp.
  4. Brotzge, J., and S. Erickson, 2009: NWS tornado warnings with zero or negative lead times.  Wea. Forecasting, 24, 140-154.
  5. Burkholder, B., A. Shapiro, and E. Fedorovich, 2009: Katabatic flow induced by a cross-slope band of surface cooling. Acta Geophys., 57, 923–949.
  6. Carbone, R.E., J. Block, S. E. Boselly, G. R. Carmichael, F. H. Carr, V. Chandrasekar, E. Gruntfest, R. M. Hoff, W. F. Krajewski, M. A. LeMone, J. F. W. Purdom, T. W. Schlatter, E. S. Takle, and J. Titlow, 2009: "Observing Weather and Climate from the ground up: A Nationwide Network of Networks". The National Academies Press, Washington, D.C. 234 pp.
  7. Clark, A. J., W. A. Gallus, Jr., M. Xue, and F. Kong, 2009: A comparison of precipitation forecast skill between small near-convection-permitting and large convection-parameterizing ensembles. Wea. and Forecasting, 24, 1121-1140.
  8. Dunning, T. H., Jr., K. Schulten, J. Tromp, J. P. Ostriker, K. K. Droegemeier, M. Xue, and P. Fussell, 2009: Science and engineering in the petascale era. Computing Sci. Engineering, 11, 28-36.
  9. Fedorovich, E., and A. Shapiro, 2009: Structure of numerically simulated katabatic and anabatic flows along steep slopes. Acta Geophys. 57, 981–1010.
  10. Fedorovich, E. and A. Shapiro, 2009: Turbulent natural convection along a vertical plate immersed in a stably stratified fluid. J. Fluid Mech., 636, 41–57.
  11. Fedorovich, E., and A. Shapiro, 2009: Turbulence and waves in numerically simulated slope flows. Mécanique et Industries, 10, 175–179.
  12. Gagne, D.J., A. McGovern, and J. Brotzge 2009: Classification of convective areas using decision trees. J. Atmos. Ocean. Technol., 26, 140-154.
  13. McLaughlin, D., D. Pepyne, V. Chandrasekar, B. Philips, J. Kursoe, et al., 2009: Short-wavelength technology and the potential for distributed networks of small radar systems. Bull. Amer. Meteor. Soc., 90, 1797-1817.
  14. McPherson, R., K. Brewster, K.C. Crawford, J. Hocker, L. Lemon, W.G. McPherson, Jr., 2009: Needs Assessment for the Meteorological and Hydrological Service Modernization Project of the Republic of Croatia.  97 pp.
  15. Schwartz, C., J. Kain, S. Weiss, M. Xue, D. Bright, F. Kong, K. Thomas, J. Levit, and M. Coniglio, 2009: Next-day convection-allowing WRF model guidance: A second look at 2 vs. 4 km grid spacing. Mon. Wea. Rev., 137, 3351-3372
  16. Sheng, C., M. Xue, and S. Gao, 2009: The structure and evolution of sea breezes during Qingdao Olympics sailing test event in 2006. Adv. Atmos. Sci., 26, 132–142.
  17. Shapiro, A., P. M. Klein, S. C. Arms, D. Bodine and M. Carney, 2009: The Lake Thunderbird Micronet Project, Bull. Amer. Meteor. Soc., 90, 811–823.
  18. Shapiro, A., and E. Fedorovich, 2009: Nocturnal low-level jet over a shallow slope, Acta Geophys., 57, 950–980.
  19. Shapiro, A., C. K. Potvin, and J. Gao, 2009: Use of a vertical vorticity equation in variational dual-Doppler wind analysis, J. Atmos. Oceanic Technol., 26, 2089–2106.
  20. Stensrud, D. J., M. Xue, L. Wicker, K. Kelleher, M. Foster, J. Schaefer, R. Schneider, S. Benjamin, J. Ferree, J. Tuell, and J. Hayes, 2009: Convective-scale Warn on Forecast: A vision for 2020. Bull. Am. Meteor. Soc., Bull. Am. Meteor. Soc., 90, 1487-1499.
  21. Potvin, C. K., A. Shapiro, T.-Y. Yu, J. Gao, and M. Xue, 2009: Using a low-order model to characterize and detect tornadoes in multiple-Doppler radar data. Mon. Wea. Rev., 137, 1230–1249.
  22. Wang, X., T. M. Hamill, J. S. Whitaker, C. H. Bishop, 2009: A comparison of the hybrid and EnSRF analysis schemes in the presence of model error due to unresolved scales. Mon. Wea. Rev.,137, 3219-3232.
  23. Xue, M., M. Tong, and G. Zhang, 2009: Simultaneous state estimation and attenuation correction for thunderstorms with radar data using an ensemble Kalman filter: Tests with simulated data. Quart. J. Royal Meteor. Soc., 135, 1409-1423.
  24. Zhao, K. and M. Xue, 2009: Assimilation of coastal Doppler radar data with the ARPS 3DVAR and cloud analysis for the prediction of Hurricane Ike (2008). Geophy. Res. Letters, 36, L12803, doi:10.1029/2009GL038658.

2008

  1. Cheong, B. L., R. D. Palmer, and M. Xue, 2008: A time-series weather radar simulator based on high-resolution atmospheric models. J. Atmos. Ocean. Tech., 25, 230-243.
  2. Gao, J. and M. Xue, 2008: An efficient dual-resolution approach for ensemble data assimilation and tests with assimilated Doppler radar data. Mon. Wea. Rev., 136, 945-963.
  3. Gao, J., K. Brewster, and M. Xue, 2008: Sensitivity of radio reflectivity to moisture and temperature and its influnce on radar ray path. Adv. Atmos. Sci.,  25, 1098-1106.
  4. Gao, S., S. Yang, M. Xue, and C. Cui, 2008: The total deformation and its role in heavy precipitation events associated with deformation-dominant flow patterns. Adv. Atmos. Sci., 25, 11-23.
  5. Jung, Y., G. Zhang, and M. Xue, 2008: Assimilation of simulated polarimetric radar data for a convective storm using ensemble Kalman filter. Part I: Observation operators for reflectivity and polarimetric variables. Mon. Wea. Rev., 136, 2228–2245.
  6. Jung, Y., M. Xue, G. Zhang, and J. Straka, 2008: Assimilation of simulated polarimetric radar data for a convective storm using ensemble Kalman filter. Part II: Impact of polarimetric data on storm analysis. Mon. Wea. Rev., 136, 2246–2260.
  7. Kain, J. S., S. J. Weiss, D. R. Bright, M. E. Baldwin, J. J. Levit, G. W. Carbin, C. S. Schwartz, M. Weisman, K. K. Droegemeier, D. Weber, and K. W. Thomas, 2009: Some practical considerations for the first generation of operational convection-allowing NWP: How much resolution is enough? Wea. Forecasting, 23, 931–952.
  8. Liu, C., Q. Xiao, and B. Wang, 2008: An Ensemble-Based Four Dimensional Variational Data Assimilation Scheme: Part I: Technical Formulation and Prelimary Test. Mon. Wea. Rev., 136, 3363-3373.
  9. Liu, C., Q. Xiao, and B. Wang, 2008: An Ensemble-Based Four Dimensional Variational Data Assimilation Scheme: Part II: Observing System Simulation Experiments with Advanced Research WRF (ARW). Mon. Wea.Rev., 137, 1687-1704.
  10. Liu, H. and M. Xue, 2008: Prediction of convective initiation and storm evolution on 12 June 2002 during IHOP. Part I: Control simulation and sensitivity experiments. Mon. Wea. Rev., 136, 2261-2283.
  11. Loftus, A., D. Weber, and C. A. Doswell, III, 2008: Parameterized mesoscale forcing mechanisms for initiating numerically-simulated isolated multicellular convection. Mon. Wea. Rev., 136, 2408–2421.
  12. Shapiro, A., and E. Fedorovich, 2008: Coriolis effects in homogeneous and inhomogeneous katabatic flows. Q. J. Roy. Met. Soc., 134, 353–370.
  13. McLaughlin, D., D. Pepyne, V. Chandrasekar, B. Philips, J. Kurose, M. Zink, K. Droegemeier, S. Cruz-Pol, F. Junyent, J. Brotzge, D. Westbrook, N. Bharadwaj, Y. Wang, E. Lyons, K. Hondl, Y. Liu, E. Knapp, M. Xue, A. Hopf, K. Kloesel, A. DeFonzo, P. Kollias, K. Brewster, R. Contreras, T. Djaferis, E. Insanic, S. Frasier, and F. Carr, 2009: Short-wavelength technology and the potential for distributed networks of small radar systems. Bull. Amer. Meteor. Soc.,Bull. Amer. Meteor. Soc., 90, 1797-1817.
  14. Proud, J. L., K. K. Droegemeier, V. T. Wood, and R. A. Brown, 2009: Sampling Strategies for Tornado and Mesocyclone Detection Using Dynamically Adaptive Doppler Radars: A Simulation Study. J. Atmos. Ocean. Tech., 26, 492-507.
  15. Tanamachi, R. L., W. Feltz, and M. Xue, 2008: Observations and numerical simulation of a water vapor oscillation event during the International H2O Project (IHOP_2002). Mon. Wea. Rev., 136, 3106-3120.
  16. Tong, M. and M. Xue, 2008: Simultaneous estimation of microphysical parameters and atmospheric state with radar data and ensemble Kalman filter. Part I: Sensitivity analysis and parameter identifiability. Mon. Wea. Rev., 136, 1630-1648.
  17. Tong, M. and M. Xue, 2008: Simultaneous estimation of microphysical parameters and atmospheric state with radar data and ensemble Kalman filter. Part II: Parameter estimation experiments. Mon. Wea. Rev., 136, 1649-1668.
  18. Wang, X., D. Barker, C. Snyder, T.M. Hamill, 2008: A hybrid ETKF-3DVAR data assimilation scheme for the WRF model. Part I: observing system simulation experiement. Mon. Wea. Re., 136, 5116-5131.
  19. Wang, X., D. Barker, C. Snyder, T.M. Hammill, 2008: A hybrid ETKF-3DVAR data assimilation scheme for the WRF model Part II: real observation experiments. Mon. Wea. Rev., 136, 5132-5147.
  20. Wang, Y., T.-Y. Yu, M. Yeary, A. Shapiro, S. Nemati, M. Foster, D. L. Andra, Jr. and M. Jain, 2008: Tornado detection using a neuro-fuzzy system to integrate shear and spectral signatures. J. Atmos. Oceanic Technol., 25, 1136–1148.
  21. White, L., A. Shapiro, and F. White, 2008: Radar placement based on a geometric uncertainty multiplier reduction criterion. Comput. Optim. Appl., 41, 61–80.
  22. Xu, Q., H. Lu, S. Gao, M. Xue, and M. Tong, 2008: Time-expanded sampling for ensemble Kalman filter: Assimilation experiments with simulated radar observations. Mon. Wea. Rev., 136, 2651-2667.
  23. Zhang, G., M. Xue, Q. Cao, and D. Dawson, 2008: Diagnosing the intercept parameter for exponential raindrop size distribution based on video disdrometer observations. J. Appl. Meteor. Climatol., 47, 2983-2992.

2007

  1. Brotzge, Jerry; Droegemeier, Kelvin, 2006: CASA and LEAD: Adaptive CyberInfrastructure for Real-Time Multiscale Weather Forecasting, IEEE Computer Society, 66-74.
  2. Chu, K., Z.-M. Tan, and M. Xue, 2007: Impact of four-dimensional variational assimilation of rainfall data on precpitation forecast of mesoscale convective systems in a meiyu heavy rainfall event. Adv. Atmos. Sci., 24, 281-300
  3. Hu, M. and M. Xue, 2007: Impact of configurations of rapid intermittent assimilation of WSR-88D radar data for the 8 May 2003 Oklahoma City tornadic thunderstorm case. Mon. Wea. Rev., 135, 507–525.
  4. Hu, M. and M. Xue, 2007: Initializing convection using cloud analysis and radar data in grid-point statistical interpolation (GSI) system and impact on the forecast of advanced research WRF. Geophy. Res. Letters. 34, L07808, doi:10.1029/2006GL028847.
  5. Keith, R. and S. M. Leyton, 2007: An experiment to measure the value of statistical probability forecasts for airports.  Wea. Forecasting. 22, 928-935.
  6. Kelleher, K., K.K. Droegemeier and co-authors, 2007:  Project CRAFT:  Technical Aspects of a Real Time Delivery System for NEXRAD Level II Data via the Internet.  Bull. Amer. Meteor. Soc., 88, 1045-1057.
  7. Kong, F., K.K. Droegemeier and N.L. Hickmon, 2007:  Multiresolution ensemble forecasts of an observed tornadic thunderstorm system, Part II.  Mon. Wea. Rev., 135, 759-782.
  8. Limpasuvan, V., D. L. Wu, M. J. Alexander, M. Xue, M. Hu, S. Pawson, and J. R. Perkins, 2007: The ARPS stratospheric gravity wave simulation over Greenland during 24 January 2005. J. Geo. Res., 112, D10115, doi:10.1029/2006JD007823.
  9. Liu, S., M. Xue, and Q. Xu, 2007: Using wavelet analysis to detect tornadoes from Doppler radar radial-velocity observations. J. Atmos. Ocean Tech., 24, 344-359.
  10. Liu, H., M. Xue, R. J. Purser, and D. F. Parrish, 2007: Retrieval of moisture from GPS slant-path water vapor observations using 3DVAR with isotropic and anisotropic recursive filters. Mon. Wea. Rev., 135, 1506–1521.
    Martin, W. J., and A. Shapiro, 2007:  Discrimination of bird and insect radar echoes in clear-air using high-resolution radars.  J. Atmos. and Oceanic Technol., 24, 1215-1230.
  11. May, R. M., M. I. Biggerstaff, and M. Xue, 2007: A Doppler radar emulator with an application to the detectability of tornadic signatures. J. Atmos. Ocean Tech., 1973-1996.
  12. Richardson, Y.P., K.K. Droegemeier and R.P. Davies-Jones, 2007:  The influence of horizontal environmental variability on numerically-simulated convective storms, Part I:  Variations in vertical shear.  Mon. Wea. Rev., 135, 3429-3455.
  13. Shapiro, A., and E. Fedorovich, 2007:  Katabatic flow along a differentially-cooled sloping surface.  J. Fluid Mech., 571, 149-175.
  14. Wang, X., T. M. Hammill, and C.H. Bishop, 2007: A comparison of hybrid ensemble transform Kalman filter-OI and ensemble square-root filter analysis schemes. Mon. Wea. Rev., 135, 1055-1076.
  15. Wang, X., C. Snyder, and T.M. Hammill, 2007: On the theoretical equivalence of differently proposed ensemble/3D-Var hybrid analysis schemes. Mon. Wea. Rev., 135, 222-227.
  16. White, L., and A. Shapiro, 2007:  Radar network scanning coordination based on ensemble transform Kalman filtering variance optimization.  Applied Mathematics and Computation, 188, 1285-1309.
  17. White, L., and A. Shapiro, 2007:  Optimization of radar scanning strategies using an ensemble relative error criterion.  Applied Mathematics and Computation, 188, 693-712.
  18. Xue, M., K. K. Droegemeier, and D. Weber, 2007: Numerical prediction of high-impact local weather: A driver for petascale computing. In Petascale Computing: Algorithms and Applications, D. Bader, Ed., Taylor & Francis. 103-124.
  19. Xue, M., Y. Jung, and G. Zhang, 2007: Error modeling of simulated reflectivity observations for ensemble Kalman filter data assimilation of convective storms. Geophys. Res. Letters, 34, L10802, doi:10.1029/2007GL029945.
  20. Xue, M., S. Liu, and T. Yu, 2007: Variational analysis of over-sampled dual-Doppler radial velocity data and application to the analysis of tornado circulations. J. Atmos. Ocean Tech., 24, 403–414.
  21. Yu, T.-Y., Y. Wang, A. Shapiro, M. Yeary, D. Zrnic, and R. J. Doviak, 2007:  Characterization of tornado spectral signatures using higher order spectra.  J. Atmos. and Oceanic Technol., 24, 1997-2013.
  22. Zrnic, D. S., J. F. Kimpel, D. E. Forsyth, A. Shapiro, G. Crain, R. Ferek, J. Heimmer, W. Benner, T. J. McNellis, and R. J. Vogt, 2007:  Agile beam phased array radar for weather observations.  Bull. Amer. Meteor. Soc., 88, 1753-1766.

2006

  1. Brotzge, Jerry; Droegemeier, Kelvin, 2006: CASA and LEAD: Adaptive CyberInfrastructure for Real-Time Multiscale Weather Forecasting, IEEE Computer Society, 66-74.
  2. Brotzge, J., K.K. Droegemeier, and D.J. McLaughlin, 2006:  Collaborative Adaptive Sensing of the Atmosphere (CASA): New radar system for improving analysis and forecasting of surface weather conditions.  J. Transport. Res. Board, No. 1948, 145-151.
  3. Chow, F. K., A. P. Weigel, R. L. Street, M. W. Rotach, and M. Xue, 2006: High-resolution large-eddy simulations of flow in a steep Alpine valley. Part I: Methodology, verification and sensitivity experiments. J. Appl. Meteor., 45, 63-86.
  4. Dawson, D. T., II and M. Xue, 2006: Numerical forecasts of the 15-16 June 2002 Southern Plains severe MCS: Impact of mesoscale data and cloud analysis. Mon. Wea. Rev., 134, 1607-1629.
  5. Gao, J., K. Brewster, and M. Xue, 2006: A comparison of the radar ray path equations and approximations for use in radar data assimilation. Adv. Atmos. Sci., 32, 190-198.
  6. Gao, J., M. Xue, S. Y. Lee, K. K. Droegemeier, and A. Shapiro, 2006: A three-dimensionl variational method for velocity retrievals from single-Doppler radar observations on supercell storms. Meteo. Atmos. Phys., 94, 11-26.
  7. Hu, M., M. Xue, and Keith Brewster, 2006: 3DVAR and cloud analysis with WSR-88D Level-II data for the prediction of the Fort Worth tornadic thunderstorms. Part I: Cloud analysis and its impact. Mon. Wea. Rev., 134, 675-698.
  8. Hu, M., M. Xue, J. Gao and K. Brewster, 2006: 3DVAR and cloud analysis with WSR-88D Level-II data for the prediction of the Fort Worth tornadic thunderstorms. Part II: Impact of radial velocity analysis via 3DVAR. Mon. Wea. Rev., 134, 699-721
  9. Kong, F., K. K. Droegemeier, and N. L. Hickmon, 2006: Multi-resolution ensemble forecasts of an observed tornadic thunderstorm system, Part I: Comparison of coarse and fine-grid experiments. Mon. Wea. Rev., 134, 807-833.
  10. Liu, H. and M. Xue, 2006: Retrieval of moisture from slant-path water vapor observations of a hypothetical GPS network using a three-dimensional variational scheme with anisotropic background error. Mon. Wea. Rev., 134, 933-949.
  11. Martin, W. J. and M. Xue, 2006: Initial condition sensitivity analysis of a mesoscale forecast using very-large ensembles. Mon. Wea. Rev., 134, 192–207.
  12. Nascimento, E. and K.K. Droegemeier, 2006:  Dynamic adjustment in a numerically simulated mesoscale convective system:  Impact of the wind field.  J. Atmos. Sci., 63, 2246-2268.
  13. Plale, B., D. Gannon, J. Brotzge, K.K. Droegemeier and Co-Authors, 2006:  CASA and LEAD:  Adaptive cyberinfrastructure for real-time multiscale weather forecasting.  IEEE Computer, 39, 66-74.
  14. Shapiro, A. 2006: An analytical solution of the Navier-Stokes equations for unsteady backward stagnation-point flow with injection or suction. Zamm-Zeitschrift Fur Angewandte Mathematik Und Mechnik, 86, 281-290.
  15. Shapiro, A., 2006:  An analytical solution of the Navier-Stokes equations for unsteady backward stagnation-point flow with injection or suction.  J. Appl. Math. Mech. (ZAMM), 86, 281-290.
  16. Shapiro, A and E. Fedorovich, 2006: Natural convection in a stably stratified fluid along vertical plates and cylinders with temporally periodic surface temperature variations. J. Fluid Mech., 546, 295-311.
  17. Sheng, C., S. Gao, and M. Xue, 2006: Short-term prediction of a heavy precipitation event by assimilating Chinese CINRAD radar reflectivity data using complex cloud analysis. Meteor. Atmos. Phy., 94, 167-183.
  18. Wei, M., Z. Toth, R. Wobus, Y. Zhu, C.H. Bishop and W. Wang, 2006: Ensemble transform Kalman filter-based ensemble perturbations in an operational global prediction system at NCEP. Tellus, 58A, 28-44.
  19. Weigel, A. P., F. K. Chow, M. W. Rotach, R. L. Street, and M. Xue, 2006: High-resolution large-eddy simulations of flow in a steep Alpine valley. Part II: Flow structure and heat budgets. J. Appl. Meteor., 45, 87-107.
  20. Xu, Q., S. Liu, and M. Xue, 2006: Background error covariance functions for vector wind analysis using Doppler radar radial-velocity observations. Quart. J. Roy. Meteor. Soc., 132, 2887-2904.
  21. Xue, M. and W. Martin, 2006: A high-resolution modeling study of the 24 May 2002 case during IHOP. Part I: Numerical simulation and general evolution of the dryline and convection. Mon. Wea. Rev., 134, 149–171.
  22. Xue, M. and W. Martin, 2006: A high-resolution modeling study of the 24 May 2002 case during IHOP. Part II: Horizontal convective rolls and convective initiation. Mon. Wea. Rev., 134, 172–191.
  23. Xue, M., M. Tong, and K. K. Droegemeier, 2006: An OSSE framework based on the ensemble square-root Kalman filter for evaluating impact of data from radar networks on thunderstorm analysis and forecast. J. Atmos. Ocean Tech., 23, 46–66.
  24. Yeary, M., Y. Zhai, T.-Y. Yu, S. Nematifar, and A. Shapiro, 2006:  Spectral calculations and target tracking for remote sensing,  IEEE Transactions on Instrumentation and Measurement, 55, (4), 1430-1442.

2005

  1. Adlerman, E. J. and K. K. Droegemeier, 2005: The dependence of numerically simulated cyclic mesocyclogenesis upon environmental vertical wind shear. Mon. Wea. Rev. , 133, 3595-3623.
  2. Chow, F. K., R. L. Street , M. Xue, and J. H. Ferziger, 2005: Explicit filtering and reconstruction turbulence modeling for large-eddy simulation of neutral boundary layer flow. J. Atmos. Sci. , 62, 2058-2077.
  3. Dabberdt, W. F., T. W. Schlatter, F. H. Carr, E. W. Joe Friday, D. Jorgensen, S. Koch, M. Pirone, F. M. Ralph, J. Sun, P. Welsh, J. W. Wilson, and X. Zou, 2005: Multifunctional mesoscale observing networks. Bull. Amer. Meteor. Soc., 86, 961-982.
  4. Droegemeier, K. K., K. Brewster, M. Xue, D. Weber, D. Gannon, B. Plale, D. Reed, L. Ramakrishnan, J. Alameda, R. Wilhelmson, T. Baltzer, B. Domenico, D. Murray, M. Ramamurthy, A. Wilson, R. Clark, S. Yalda, S. Graves, R. Ramachandra, J. Rushing, E. Joseph, and V. Morris, 2005: Service-oriented environments for dynamically interacting with mesoscale weather. Computing in Science and Engineering, 7, 12-27.
  5. Gonzalez-Espada, W. and D. S. Zaras, 2005: Evaluation of the Impact of the NWC REU program compared with other undergraduate research experiences. J. Geosci. Edu., 54, 541-549.
  6. Martin, W. J., and A. Shapiro, 2005: Impact of radar tilt and ground clutter on wind measurements in clear air. J. Atmos. and Oceanic Technol., 22, 649-663.
  7. Shapiro, A., 2005: Drag-induced transfer of horizontal momentum between air and raindrops. J. Atmos. Sci., 62, 2205-2219.
  8. Shapiro, A., and E. Fedorovich, 2005: Analytical and numerical study of natural convection in a stably stratified fluid along vertical plates and cylinders with temporally-periodic surface temperature variations. Progress in Computational Heat and Mass Transfers, Vol. 1, R. Bennacer, A. A. Mohamad, M. El Ganaoui, J. Sicard, Eds., Lavoisier, 77-82.
  9. Smedsmo, J. L., E. Foufoula-Georgious, V. Vuruputur, F. Kong, and K. K. Droegemeier, 2005: On the vertical structure of modeled and observed clouds: Insights for rainfall retrieval and microphysical parameterization. J. Appl. Meteor., 44, 1866-1884.
  10. Tong, M. and M. Xue, 2005: Ensemble Kalman filter assimilation of Doppler radar data with a compressible nonhydrostatic model: OSSE Experiments. Mon. Wea. Rev., 133, 1789-1807.
  11. Wang, X., and C.H. Bishop, 2005: Improvement of ensemble reliability with a new dressing kernal. Q.J.R. Meteo. Soc., 131, 965-986.
  12. White, L., and A. Shapiro, 2005: Optimization of wind field retrieval procedures. Applied Math. Computation. 171, 25-52.
  13. Xiao, Y., M. Xue, W. J. Martin, and J. Gao, 2005: Development of an adjoint for a complex atmospheric model, the ARPS, using TAF. In Automatic Differentiation: Applications, Theory, and Implementations, H. M. Bücker, G. F. Corliss, P. Hovland, U. Naumann, and B. Norris, Eds., Springer, 263-272.

2004

  1. Brotzge, J.A., 2004: A two-year comparison of the surface water and energy budgets between two OASIS sites and NCEP-NCAR reanalysis data. J. Hydrometeor., 5,311-326.
  2. Gao, J. and K. K. Droegemeier, 2004: A variational technique for dealising Doppler radial velocity data. J. Appl. Meteor. , 42, 934-940.
  3. Gao, J.-D., K. K. Droegemeier, J.-D. Gong, and Q. Xu, 2004: A method for retrieving mean horizontal wind profiles from single-Doppler radar observations contaminated by aliasing. Mon. Wea. Rev. , 132, 1399-1409.
  4. Gao, J.-D., M. Xue, K. Brewster, and K. K. Droegemeier, 2004: A three-dimensional variational data analysis method with recursive filter for Doppler radars. J. Atmos. Ocean . Tech. , 21, 457-469.
  5. Nutter, P., D. Stensrud, and M. Xue, 2004: Effects of coarsely-resolved and temporally-interpolated lateral boundary conditions on the dispersion of limited-area ensemble forecasts. Mon. Wea. Rev. , 132, 2358-2377.
  6. Nutter, P., M. Xue, and D. Stensrud, 2004: Application of lateral boundary condition perturbations to help restore dispersion in limited area ensemble forecasts. Mon. Wea. Rev. , 132, 2378-2390.
  7. Plale, B., J. Alameda, R. Wilhelmson, D. Gannon, S. Hampton, A. Rossi, and K.K. Droegemeier, 2004:  User-oriented active management of scientific data with my LEAD.  IEEE Internet Computing, 9, 27-34.
  8. Ren, D. and M. Xue, 2004: A revised force-restore model for land-surface modeling. J. App. Meteor. , 43, 1768-1782.
  9. Ren, D., M. Xue, and A. Henderson-Sellers, 2004: The effects of hydraulic lift in simulating superficial soil moisture for vegetated surfaces under dry conditions. J. Hydrometero. , 5, 1181-1191.
  10. Shapiro, A. and E. Fedorovich, 2004: Unsteady convectively driven flow along a vertical plate immersed in a stably stratified fluid. J. Fluid Mech., 498, 333-352.
    11. Shapiro, A. and E. Fedorovich, 2004: Prandtl number dependence of unsteady natural convection along a vertical plate in a stably stratified fluid. Int. J. Heat Mass Transfer. 47, 4911-4927.
  11. Sharif, H. O., F. L. Ogden, W. F. Krajewski, and M. Xue, 2004: Statistical analysis of radar-rainfall error propagation. J. Hydrometero. , 5, 199-212.
  12. Spencer, P. L. and J. Gao, 2004: Can gradient information be used to improve variational objective analysis? Mon. Wea. Rev. , 132, 2977-2994.
  13. Wang, X., C.H. Bishop, and Simon J. Julier, 2004: Which is better, an ensemble of positive-negative pairs or a centered spherical simplex ensemble? Mon. Wea. Rev., 132, 1590-1605.

2003

  1. Brewster, Keith A. 2003: Phase-Correcting Data Assimilation and Application to Storm-Scale Numerical Weather Prediction. Part I: Method Description and Simulation Testing. Monthly Weather Review: Vol. 131, No. 3, pp. 480-492.
  2. Brewster, Keith A. 2003: Phase-Correcting Data Assimilation and Application to Storm-Scale Numerical Weather Prediction. Part II: Application to a Severe Storm Outbreak. Monthly Weather Review: Vol. 131, No. 3, pp. 493-507.
  3. Brooks, H., C. Doswell III, D. Dowell, R. Holle, R. Johns, D. Jorgensen, D. Schultz, D. Stensrud, S. Weiss, L. Wicker, and D. S. Zaras, 2003: Severe Thunderstorms and Tornadoes. Handbook of Weather, Climate, and Water: Dynamics, Climate, Physical Meteorology, Weather Systems, and Measurements, T. D. Potter and B. R. Colman, Eds., Wiley-Interscience, 575-619.
  4. Brotzge, J.A., and K.C. Crawford, 2003: Examination of the surface energy budget as observed from OASIS (eddy correlation) and ARM (Bowen ratio) measurement systems., J. Hydrometeor., 4, 160-178.
  5. Brotzge, J.A., and S. J. Richardson, 2003: Spatial and temporal correlation among Oklahoma Mesonet and OASIS surface-layer measurements. J. Meteor., 42, 5-19.
  6. Dowell, D. C., and A. Shapiro, 2003: Stability of an iterative dual-Doppler wind synthesis in Cartesian coordinates. J. Atmos. and Oceanic Technol., 20, 1552-1559.
  7. Fiebrich, C.J., Martinez, J. Brotzge, and J. Basara, 2003: The Oklahoma Mesonet's skin temperature network. J. Atmos. Ocean. Tech., 20, 1496-1504.
  8. Shapiro, A., P. Robinson, J. Wurman, and J. Gao, 2003: Single-Doppler velocity retrieval with rapid scan radar data. J. Atmos. and Oceanic Technol., 20, 1758-1775.
  9. Souto, M. J., Balseiro, C. F., Pérez-Muñuzuri, V., Xue, M., Brewster, K. 2003: Impact of Cloud Analysis on Numerical Weather Prediction in the Galician Region of Spain. Journal of Applied Meteorology: Vol. 42, No. 1, pp. 129-140.
  10. Wang, X., and C.H. Bishop, 2003: A comparison of breeding and ensemble transform Kalman filter ensemble forecast schemes. J. Atmos. Sci, 60, 1140-1158.
  11. Xue, M., D.-H. Wang, J.-D. Gao, K. Brewster, and K. K. Droegemeier, 2003: The Advanced Regional Prediction System (ARPS), storm-scale numerical weather prediction and data assimilation. Meteor. Atmos. Physics, 82, 139-170.

2002

  1. Adlerman, E.J. and K.K. Droegemeier, 2002: The sensitivity of numerically-simulated cyclic mesocyclogenesis to variations in model physical and computational parameters. Monthly Weather Review: Vol. 130, No. 11, pp. 2671-2691.
  2. Brotzge, J.A., and D. Weber, 2002: Land-surface scheme validation using the Oklahoma Atmospheric Surface-layer Instrumentation Syste (OASIS) and Oklahoma Mesonet data: Preliminary results. Meteor. Atmos. Phys., 80, 189-206.
  3. Lazarus, Steven M., Ciliberti, Carol M., Horel, John D., Brewster, Keith A. 2002: Near-Real-Time Applications of a Mesoscale Analysis System to Complex Terrain. Weather and Forecasting: Vol. 17, No. 5, pp. 971-1000.
  4. Mewes, J. J., and A. Shapiro, 2002: On the use of the vorticity equation in dual-Doppler Analysis of the vertical velocity field. J. Atmos. And Oceanic Technol., 19, 543-567.
  5. Shapiro, A. and K. M. Kanak, 2002: Vortex formation in ellipsoidal bubbles. J. Atmos. Sci., 59, 2253-2269.
  6. Sharif, H. O., F. L. Ogden, W. F. Krajewski, and M. Xue, 2002: Numerical simulations of radar-rainfall error propagation. Water Resources Research, 38, 15-1 to 15-14.
  7. Sridhar, V., R.L. Elliott, F. Chen, and J. Brotzge, 2002: Validation of the NOAH-OSU land surface model using surface flux measurements in Oklahoma. J. Geophys. Res., 107, 4418-4436.
  8. Weygandt, S. S., A. Shapiro and K. K. Droegemeier, 2002: Retrieval of initial forecast Fields from single-Doppler observations of a supercell thunderstorm. Part I Single-Doppler velocity retrieval. Mon. Wea. Rev., 130, 433-453.
  9. Weygandt, S.S., A. Shapiro and K.K. Droegemeier, 2002: Retrieval of initial forecast fields from single-Doppler observations of a supercell thunderstorm. Part II: Thermodynamic retrieval and numerical prediction. Mon. Wea. Rev., 130, 454-476.
  10. Xue, M., 2002: Density currents in shear flows: Effects of rigid lid and cold-pool Internal circulation, and application to squall line dynamics. Quart. J. Roy. Met. Soc., 128, 47-74.

2001

  1. Anthes, R., O. Brown, K. Droegemeier, and J. Fellows, 2001: UCAR and NCAR at 40. Bull. Amer. Meteor. Soc., 82, 1139-1149.
    Gao, J., M. Xue, A. Shapiro, Q. Xu, and K. K. Droegemeier, 2001: Three-dimensional simple adjoint velocity retrievals from single Doppler radar. J. Atmos. Ocean Tech., 18, 26-38.
  2. Harris, D., E. Foufoula-Georgiou, K.K. Droegemeier, and J. Levit, 2001: Multi-scale statistical properties of a high-resolution precipitation forecast. J. Hydromet., 4, 406-418.
  3. Hou, D., E. Kalnay, and K.K. Droegemeier, 2001: Objective verification of the SAMEX '98 ensemble forecasts. Mon. Wea. Rev., 129, 73-91.
  4. Lazarus, S., A. Shapiro, and K.K. Droegemeier, 2001: Application of the Gal-Chen/Zhang velocity retrieval to a deep convective storm. J. Atmos. Sci., 58, 998-1016.
  5. MacGorman, D.R., J.M. Straka, and C.L. Ziegler, 2001; A lightning parameterization for numerical cloud models. J. Appl. Met. 40, 459-478.
  6. Shapiro, A., 2001: Solid-body-type vortex solutions of the Euler equations. J. Fluid Mech., 444, 99-115.
  7. Shapiro, A., 2001: A centrifugal wave solution of the Euler and Navier-Stokes Equations. J. Appl. Math. Phys. (ZAMP), 52, 913-923.
  8. Shapiro, A., 2001: Flow of an inviscid rotating liquid into an elevated sink. Quart. J. Mech. Appl. Math., 54, 243-256.
  9. Xue, M., K. K. Droegemeier, V. Wong, A. Shapiro, K. Brewster, F. Carr, D. Weber, Y. Liu, and D.-H. Wang, 2001: The Advanced Regional Prediction System (ARPS) - A multiscale nonhydrostatic atmospheric simulation and prediction tool. Part II: Model physics and applications. Meteor. Atmos. Physics, 76, 143-165.
  10. Xue, M., and S.-J. Lin, 2001: Numerical equivalence of advection in flux and advective forms and quadratically conservative high-order advection schemes. Mon. Wea. Rev., 129, 561-565.

2000

  1. Brotzge, J.A., and K.C. Crawford, 2000: Estimating sensible heat flux from the Oklahoma Mesonet. J. App;. Meteor., 39, 102-116.
  2. Brotzge, J.A., and C.E. Duchon, 2000: A field comparison among a domeless net radiometer, two 4-component ned radiometers, and a domed net radiometer. J. Atmos. Ocean. Tech., 17, 1569-1582.
  3. Doyle, J.D., D. R. Durran, B.A. Colle, C. Chen, M. Georgelin, V. Grubisic, W.R. Hsu, C.Y. Huang, D. Landau, Y.L. Lin, G.S. Poulos, W.Y. Sun, D.B. Weber, M.G. Wurtele, and M. Xue, 2000: An intercomparison of model-predicted wave breaking for the 11 January 1972 Boulder windstorm. Mon. Wea. Rev., 128, 901-914.
  4. Droegemeier, K.K. and Co-authors, 2000: Hydrological aspects of weather prediction and flood warnings: Report of the Ninth Prospectus Development Team of the U.S. Weather Research Program. Bull. Amer. Meteor. Soc., 81, 2665-2680.
  5. Foufoula-Georgiou, E., J. Zepeda-Arce, and K.K. Droegemeier, 2000: Space-time rainfall organization and its role in validating quantitative precipitation forecasts. J. Geophys. Res., 105, 10129-10146.
  6. Kalnay E., S. Park, Z. Pu and J. Gao, 2000: Application of the quasi-inverse method to accelerate 4-D VAR. Mon. Wea. Rev., 128, 864-875.
  7. Park, S.-K. and K.K. Droegemeier, 2000: Sensitivity analysis of a 3-D convective storm: Implications for variational data assimilation and forecast error. Mon. Wea. Rev., 128, 140-159.
  8. Rasmussen, E.N., S. Richardson, J.M. Straka, P.M. Markowski, and D.O. Blanchard, 2000: The association of significant tornadoes with a baroclinic boundary on 2 June 1995. Mon. Wea. Rev., 128, 174-191.
  9. Straka, J.M., D. S. Zrnic, and A. V. Ryzhkov, 2000; Bulk hydrometeor classification and quantification using multi-parameter radar data. Synthesis of relations. J. Applied Meteor. , 39, 1341-1372.
  10. Ware, R.H., D.W. Fulker, S.A. Stein, D.N. Anderson, S.K. Avery, R.D. Clark, K.K. Droegemeier, J.P. Kuettner, J. Minster, and S. Sorooshian, 2000: Real-time national GPS networks: Opportunities for atmospheric sensing. Earth Planets Space, 52, 901-905.
  11. Ware, R.H., D.W. Fulker, S.A. Stein, D.N. Anderson, S.K. Avery, R.D. Clark, K.K. Droegemeier, J.P. Kuettner, J.B. Minster, and S. Sorooshian, 2000: SuomiNet: A real-time national GPS network for atmospheric research and education. Bull. Amer. Meteor. Soc., 84, 677-694.
  12. Xue, M., 2000: Density current in two-layer shear flows. Quart. J. Roy. Met. Soc., 126, 1301-1320.
  13. Xue, M., 2000: High-order monotonic numerical diffusion and smoothing. Mon. Wea. Rev., 128, 2853-2864.
  14. Xue, M., K. K. Droegemeier, and V. Wong, 2000: The Advanced Regional Prediction System (ARPS) - A multi-scale nonhydrostatic atmospheric simulation and prediction model. Part I: Model dynamics and verification. Meteor. Atmos. Phys., 75, 161.

1999

  1. Adlerman, E.J., K.K. Droegemeier, and R-P. Davies-Jones 1999: Numerical simulation of cyclic mesocyclogenesis. J. Atmos. Sci., 56, 2045-2069.
  2. Gao, J., M. Xue, A. Shapiro, and K. K. Droegemeier, 1999: A variational method for the retrieval of three-dimensional mesoscale wind fields from two Doppler radars. Mon. Wea. Rev., 127, 2128-2142.
  3. Lazarus, S., A. Shapiro, and K.K. Droegemeier, 1999: Analysis of the Gal-Chen/Zhang single-Doppler velocity retrieval. J. Atmos. and Oceanic Tech., 16, 5-18.
  4. Markowski, P.M., and J.M. Straka, 1999: Some observations of rotating updrafts in a low-buoyancy, highly sheared environment. Mon. Wea. Rev., 128, 449-461.
  5. Park, S.K., and K.K. Droegemeier, 1999: Sensitivity analysis of a moist 1-D Eulerian cloud model using automatic differentiation. Mon. Wea. Rev., 127, 2180-2196.
  6. Park, S.K., 1999: Nonlinearity and predictability of convective rainfall associated with water vapor perturbations in a numerically simulated storm. J. Geophys. Res., 104, 31575-31588.
  7. Rao, P.A., H.E. Fuelberg, and K.K. Droegemeier, 1999: High resolution modeling of the Cape Canaveral area land/water circulations and associated features. Mon. Wea. Rev., 56, 1808-1821.
  8. Shapiro, A. and J. Mewes, 1999: New formulations of dual-Doppler wind analysis. J. Atmos. and Oceanic Technol., 16, 782-792
  9. Shapiro, A. and P. Markowski, 1999: Dynamics of elevated vortices. J. Atmos. Sci., 56, 1101-1122.
  10. Vivekanandan, J., D.S. Zrnic’, S.M. Ellis, D. Oye, A.V. Ryzhkov, and J.M. Straka, 1999: Cloud Physics Retrieval Using S-band Dual-Polarization Radar Measurements. Bull. Amer. Meteor. Soc. 80, 381-388.
  11. Xu, Q., and J. Gao, 1999: Generalized adjoint for physical processes with parameterized discontinuities: Minimization problems in multidimensional space. J. Atmos. Sci., 56, 994-1002.

1998

  1. Carpenter, R.L. Jr., K.K. Droegemeier, and A.M. Blyth, 1998a: Entrainment and detrainment in numerically simulated cumulus congestus clouds, Part I: General results and comparison with observations. J. Atmos. Sci, 55, 3417-3432.
  2. Carpenter, R.L. Jr., K.K. Droegemeier, and A.M. Blyth, 1998b: Entrainment and detrainment in numerically simulated cumulus congestus clouds, Part II: Cloud budgets. J. Atmos. Sci, 55, 3433-3439.
  3. Carpenter, R.L. Jr., K.K. Droegemeier, and A.M. Blyth, 1998c: Entrainment and detrainment in numerically simulated cumulus congestus clouds, Part III: Detailed parcel analyses and conceptual model. J. Atmos. Sci, 55, 3440-3455.
  4. Lilly, D.K., G.M. Bassett, K.K. Droegemeier, and P. Bartello, 1998: Stratified turbulence in the atmospheric mesoscales. Theoretical and Comp. Fluid Dyn, 11, 139-153.
  5. Markowski, P.M., E.N. Rasmussen, J.M. Straka, 1998: The occurrence of tornadoes and supercells interacting with boundaries during VORTEX 1995. Wea. and Forecasting. 13, 852-859.
  6. Markowski, P.M., E.N. Rasmussen, J.M. Straka, D.C. Dowell, 1998: Observations of low-level baroclinicity generated by anvil shadows. Mon. Wea. Rev., 126, 2942-2958.
  7. Markowski, P, J.M. Straka, E.N. Rasmussen, and D.O. Blanchard, 1998: Variability of storm-relative helicity during VORTEX. Mon. Wea. Rev., 126, 2959-2971.
  8. Rasmussen, E. N., and J. M. Straka, 1998: Variations in supercell morphology. Part I. Observations of the Role of Upper-Level Storm Relative Flow. Mon. Wea. Rev., 126, 2406-2421.
  9. Wang, D.Z., K.K. Droegemeier, and L. White, 1998: The adjoint Newton algorithm for large-scale unconstrained optimization in meteorology applications. Comput. Opt. and Appl., 10, 281-318.
  10. Xu, Q., J. Gao, and W. Gu, 1998: Generalized adjoint for discretized physical processes with parameterized discontinuities, Part V: Coarse-grain adjoint and problems in gradient check. J. Atmos. Sci., 55, 2130-2135.
  11. Xu, Q, W. Gu and J. Gao, 1998: Baroclinic Eady wave and fronts. Part I: Viscous semigeostrophy and the impact of boundary condition. J. Atmos. Sci., 55, 3598-3615.

1997

  1. Droegemeier, K.K., 1997: The numerical prediction of thunderstorms: Challenges, potential benefits, and results from real-time operational tests. WMO Bulletin, 46, 324-336.
  2. Park, S.K., K.K. Droegemeier, 1997: The validity of the tangent linear approximation in a moist convective cloud model. Mon. Wea. Rev., 125, 3320-3340.
  3. Sathye, A., M. Xue, G. Bassett, K.K. Droegemeier, 1997: Parallel weather modeling with the Advanced Regional Prediction System, Parallel Computing 23 (1997) 2243-2256.
  4. Wang, Z., K.K. Droegemeier, L. White, and I.M. Navon, 1997: Application of a new adjoint Newton algorithm to the 3-D ARPS storm scale model using simulated data. Mon. Wea. Rev., 125, 1460-1478.
  5. Xue, M., Q. Xu, and K.K. Droegemeier, 1997: A theoretical and numerical study of density currents in non-constant shear flows. J. Atmos. Sci., 54, 1998-2019.
  6. Zhao, Q., and F. Carr, 1997: A prognostic cloud scheme for operational NWP models. Amer. Meteor. Soc., 125, 1931-1953.

1996

  1. Gallus, W., Jr., and M. Rancic, 1996: A nonhydrostatic version of the NMC's regional eta model. Quart. J. Roy. Meteor. Soc., 122, 495-513.
  2. Kogan, Y.L. and A. Shapiro, 1996: The simulation of a convective cloud in a 3-D model with explicit microphysics, Part II: dynamical and microphysical aspects of cloud merger. J. Atmos. Sci., 53, 2525-2545.
  3. Park, S.K., K.K. Droegemeier, and C. Bischof, 1996: Automatic differentiation as a tool for sensitivity analysis of a convective storm in a 3-D cloud model. Chapter 18 in Computational Differentiation: Techniques, Applications, and Tools, M. Berz, C. Bischof, G. Corliss, and A. Griewank, Eds., SIAM, Philadelphia, PA, 205-214.
  4. Sathye, A.G. Bassett, K.K. Droegemeier, M. Xue, K. Brewster, 1996: Experiences using high performance computing for operational storm scale weather prediction. Concurrency: Practice and Experience, 8, 731-740.
  5. Shapiro, A., 1996: Nonlinear shallow-water oscillations in a parabolic channel: Exact solutions and trajectory analyses. J. Fluid Mech., 318, 49-76.
  6. Xu, Q., 1996: Generalized adjoint for physical processes with parameterized discontinuities - Part I: Basic issues and heuristic examples. J. Atmos. Sci., 53, 1123-1142.
  7. Xu, Q., 1996: Generalized adjoint for physical processes with parameterized discontinuities - Part II: Vector formulations and matching conditions. J. Atmos. Sci., 53, 1143-1155.
  8. Xu, Q., M. Xue, and K. K. Droegemeier, 1996: Numerical simulations of density currents in sheared environments within a vertically confined channel. J. Atmos. Sci., 53, 770-786.
  9. Zhang, J., and T. Gal-Chen, 1996: Single Doppler wind retrieval in the moving frame of reference. J. Atmos. Sci., 53, 2609-2623.
  10. Zong, J., and Q. Xu, 1996: The dynamics of cold fronts passing over a quasi-two dimensional isolated mountain ridge. Tellus (1997), 49A, 559-576.

1995

  1. Carr, F.H., P.L. Spencer, C.A. Doswell. III, and J. D. Powell, 1995: A comparison of two objective analysis techniques for profiler time-height data. Mon. Wea. Rev., 123, 2165-2180.
  2. Droegemeier, K.K., M. Xue, K. Johnson, M. O'Keefe, A. Sawdey, G. Sabot, S. Wholey, K. Mills, and N.-T. Lin, 1995: Weather prediction: A scalable storm-scale model. Chapter 3 (p. 45-92) in High Performance Computing, Addison-Wesley, Reading, Massachusetts, 246 pp.
  3. Emanuel, K., D. Raymond, A. Betts, L. Bosart, C. Bretherton, K. Droegemeier, B. Farrell, J.M. Fritsch, R. House, M. LeMone, D. Lilly, R. Rotunno, M. Shapiro, R. Smith, and A. Thorpe, 1995: Report of the first Prospectus Development Team of the U.S. Weather Research Program to NOAA and the NSF. Bull. Amer. Meteor. Soc., 76, 1194-1208.
  4. Rancic, M., 1995: An efficient, conservative, monotonic remapping for semi-Lagrangian transport algorithms. Mon. Wea. Rev., 123, 1213-1217.
  5. Shapiro, A., S. Ellis, and J. Shaw, 1995: Single-Doppler velocity retrievals with Phoenix II data: Clear-air and microburst wind retrievals in the planetary boundary layer. J. Atmos. Sci., 52, 1265-1287.

1994

  1. Angevine, W.M., R.J. Doviak, and Z. Sorbjan, 1994: Remote sensing of vertical velocity variance and surface heat flux in a convective boundary layer. J. Appl. Meteor. 33, 977-983.
  2. Bluestein, H.B., S.D. Hrebenach, C-F. Change, and E.A. Brandes, 1994: Synthetic dual-Doppler analysis of mesoscale convective systems. Mon. Wea. Rev., 122, 2105-2124.
  3. Johnson, K.W., J. Bauer, G.A. Riccardi, K.K. Droegemeier, and M. Xue, 1994: Distributed processing of a regional prediction model. Mon. Wea. Rev., 122, 2558-2572.
  4. Kogan, Y.L., D.K. Lilly, Z.N. Kogan, and V.V. Filyushkin, 1994: The effect of CCN regeneration on the evolution of sratocumulus cloud layers. Atmos. Res. 33, 137-150.
  5. Lee, J.T., and R. Crane, 1994: Aeronautical Meteorology. In McGraw-Hill Encyclopedia of Science and Technology, 8th Ed., 151-154
  6. Lin, S.-J., W.C. Chao, Y.C. Sud, and G.K. Walker, 1994: A class of the van Leer-type transport schemes and its application to moisture transport in a general circulation model. Mon. Wea. Rev., 122, 1575-1593.
  7. Qiu, C., and Q. Xu, 1994: A spectral simple adjoint method for retrieving low-altitude winds from single-Doppler data. J. Atmos. Oceanic Technology, 11, 927-936.
  8. Rajasethupathy, K.S. G.-M. Thio, S.K. Dhall, and S. Lakshmivarahan, 1994: Tridiagonalizing a real symmetric matrix: A parallel direct approach using Givens' transformation. Parallel Algorithms and Applications, 2, 305-313.
  9. Rasmussen, E.N., J.M. Straka, R. Davies-Jones, C.A. Doswell III, F.H. Carr, M.D. Eilts, and D.R. MacGorman, 1994: Verification of the origins of rotation in tornadoes experiment: VORTEX. Bull. Amer. Meteor. Soc., 75, 995-1017.
  10. Scotti, A., C. Meneveau and D.K. Lilly, 1994: Generalized Smagorinsky model for anisotropic grids. Phys. Fluids A, 5, 2306-2308.
  11. Shapiro, A., and Y. Kogan, 1994: On vortex formation in multicell convective clouds in a shear-free environment. Atmos. Res. 33, 125-136.
  12. Song, C.G., J.-S. Jwo, S. Lakshmivarahan, S.K. Dhall, J.M. Lewis, and C.S. Velden, 1994: An experiment in hurricane track prediction using parallel computing methods. Parallel Algorithms and Applications, 2, 315-332.
  13. Straka, J.M., 1994: Representing moisture processes in mesoscale numerical models. AMS Monograph on Mesoscale Modeling of the Atmosphere. Eds., R.A. Pielke and R. Pearce, 25, 29-38.
  14. Sun, J., 1994: Fitting a Cartesian prediction model to radial velocity data from single-Doppler radar. J. Atmos. Oceanic Tech., 11, 200-204.
  15. Sun, J., , and A. Crook, 1994: Wind and thermodynamic retrieval from single-Doppler measurements of a gust front observed during Phoenix-II. Mon. Wea. Rev., 122, 1075-1091.
  16. Weygandt, S.S., and N.L. Seaman, 1994: Quantification of predictive skill for mesoscale and synoptic-scale meteorological features as a function of horizontal grid resolution. Mon. Wea. Rev., 122, 57-71.
  17. Wong, V.C. and D.K. Lilly, 1994: A comparison of two dynamic subgrid closure methods for turbulent thermal convection. Phys. Fluid A, 6, 1016-1022.
  18. Xu, Q., and C.J. Qiu, 1994: Simple adjoint methods for single-Doppler wind analysis with a strong constraint of mass conservation. J. Atmos. & Oceanic Tech., 11, 289-298.
  19. Xu, Q. , C.J. Qiu, and J.X. Yu, 1994: Adjoint-method retrievals of low-altitude wind fields from single-Doppler reflectivity measured during Phoenix II. J. Atmos. & Oceanic Tech., 11, 275-288.
  20. Xu, Q., C.J. Qiu, and J.X. Yu, 1994: Adjoint-method retrievals of low-altitude wind fields from single-Doppler wind data. J. Atmos. & Oceanic Tech., 11, 579-585.

1993

  1. Droegemeier, K.K., 1993: Weather forecasting and prediction. McGraw-Hill Yearbook of Science and Technology, McGraw Hill, 476-480.
  2. Droegemeier, K.K., Lazarus, S.M., and R. Davies-Jones, 1993: The influence of helicity on numerically-simulated convective storms. Mon. Wea. Rev, 121, 2005-2029.
  3. Filyushkin, V.V. and D.K. Lilly, 1993: Application of a 3D delta-Eddington radiative transfer model to calculation of solar heating and photolysis rates in a stratocumulus cloud layer. Atmos. Radiation, 2049, 56-66.
  4. Johnson, J.T., M.D. Eilts, and K.K. Droegemeier, 1993: Investigation of outflow strength variability in Florida downburst producing storms. FAA Final Report DOT/FAA/NR-93/5/111 p.
  5. Kogan, Z.N., D.K. Lilly, Y.L. Kogan, and V. Filyushkin, 1993: Evaluation of radiation parameterization using an explicit cloud microphysical model. Atmos. Res., 32.
  6. Lakshmivarahan, S., Jun-Sing Jwo, and S.K. Dhall, 1993: Analysis of symmetry in interconnection networks based on cayley graphs of permutation groups: a survey. J. Parallel Computing, 19, 361-407.
  7. Li, Y. and K.K. Droegemeier, 1993: The influence of diffusion on the adjoint data assimilation technique. Tellus, 45A, 435-448.
  8. Shapiro, A., 1993: On use of an exact solution of the Navier-Stokes equations in a validation test of a three-dimensional non-hydrostatic numerical model. Mon. Wea. Rev. 121, 2420-2425.
  9. Straka, J.M., R.B. Wilhelmson, L.J. Wicker, J.R. Anderson, and K.K. Droegemeier, 1993: Numerical solutions of a non-linear density current: A benchmark solution and comparisons. Int. J. Num. Meth. in Fluids, 17, 1-22.
  10. Xu, M., and T. Gal-Chen, 1993: A study of the convective boundary-layer dynamics using single Doppler radar measurements. J. Atmos. Sci., 50, 3641-3662.

1992

  1. CAPS, 1992: ARPS Version 3.0 User's Guide. Center for Analysis and Prediction of Storms, University of Oklahoma, 183pp.
  2. Dietachmayer, G. and K. Droegemeier, 1992: Application of continuous dynamic grid adaption techniques to meteorological modeling, Part I: Basic formulation and accuracy. Mon. Wea. Rev., 120, 1675-1706.
  3. Jwo, J.-S., S. Lakshmivarahan, S.K. Dhall, and J.M. Lewis, 1992: Comparison of performance of three parallel versions of the block cyclic reduction algorithm for solving linear elliptic partial differential equations. J. Appl. Math. and Comp., 24, No 5/6, 83-101.
  4. Lilly, D.K., 1992: A proposed modification of the Germano subgrid-scale closure method, American Institute of Physics, Phys. Fluids A, 4, 633-635.
  5. Lilly, D.K., , 1992: Meteorology, 1992 Science Year, The World Book Annual Science Supplement, pp. 311-313.
  6. Qiu, C.-J. and Q. Xu, 1992: A simple adjoint method of wind analysis for single-Doppler data. J. Atmos. Oceanic Technol., 9, 588-598.
  7. Rancic, M., 1992: Semi-Lagrangian piecewise biparabolic scheme for two-dimensional horizontal advection of a passive scalar. Mon. Wea. Rev., 120, 1394-1406.
  8. Shapiro, A., 1992: A hydrodynamical model of shear flow over semi-infinite barriers with application to density currents. J. Atmos. Sci., 49, 2293-2305.
  9. Skamarock, W.R., and J.B. Klemp, 1992: The stability of time-split numerical methods for the hydrostatic and the nonhydrostatic elastic equations. Mon. Wea. Rev., 120, 2109-2127.
  10. Wong, V.C., 1992: A proposed statistical-dynamic closure method for the linear or nonlinear subgridscale stresses. Phys. Fluids A, 4, 1080.
  11. Wu, W., D.K. Lilly, and R.M. Kerr, 1992: Helicity and thermal convection with shear, J. Atmos. Sci., 49, 1800-1809.

1991

  1. Lilly, D.K., 1991: Thunderstorm. 1991 McGraw-Hill Yearbook of Science and Technology. McGraw-Hill, Inc., New York, pp. 425-427.
  2. Sun, J., D.W. Flicker, and D.K. Lilly, 1991: Recovery of three-dimensional wind and temperature fields from simulated single-Doppler radar data. J. Atmos. Sci., 48, 876-890.

1990

  1. Carpenter, R.L., K.K. Droegemeier, P.R. Woodward, and C.E. Hane, 1990: Application of the piecewise parabolic method (PPM) to meteorological modeling. Mon. Wea. Rev., 118, 586-612.
  2. Kogan, Y.L., 1990: The simulation of a convective cloud in a 3-D model with explicit microphysics. Part I: Model description and sensitivity experiments. J. Atmos. Sci., 48, 1160-1189.
  3. Lilly, D.K. and T. Gal-Chen, 1989: Can dryline mixing create buoyancy? J. Atmos. Sci., 47, 1170-1171.
  4. Lilly, D.K. and B.F. Jewett, 1990: Momentum and kinetic energy budgets of simulated supercell thunderstorms. J. Atmos. Sci., 47, 707-726.
  5. Lilly, D.K., 1990: Numerical prediction of thunderstorms--has its time come? Symons Memorial Lecture. Quart. J. Roy. Meteor. Soc. 116, 779-798.
  6. Robertson, M. and K.K. Droegemeier, 1990: NEXRAD and the broadcast weather industry: Preparing to share the technology. Bull. Amer. Meteor. Soc. 71, 14-18.
  7. White, L., and J.T. Oden, 1990: Dynamics and control of viscoelastic solids with contact and friction effects. J. Nonlinear Analysis and Appl., 4, 459-474..
  8. Xue, M., and A.J. Thorpe, 1990: A mesoscale numerical model using the nonhydrostatic sigma coordinate equations, Part I: model experiments with dry mountain flows. Mon. Wea. Rev., 119, 1168-1185.

1989

  1. Carr, F.H., R.L. Wobus, and R.A. Petersen, 1989: Synoptic evaluation of normal mode initialization experiments with the NMC Nested Grid Model. Mon. Wea. Rev. 117, 2753-2771.