Publications Since Center Established
2017 | 2016 | 2015 | 20142017
- Emanuel, K. and F. Zhang, 2017: The Role of Inner Core Moisture in Tropical Cyclone Predictability and Practical Forecast Skill, Journal of the Atmospheric Sciences, 74, doi: 10.1175/JAS-D-17-0008.1.
- Pauluis, O., and F. Zhang, 2017: Reconstruction of thermodynamic cycles in a high resolution simulation of a hurricane. Journal of the Atmospheric Sciences, doi:10.1175/JAS-D-16- 0353.1, in press.
- Munsell, E. B.*, F. Zhang, J. A. Sippel, S. A. Braun, Y. Weng, 2017: Dynamics and predictability of the intensification of Hurricane Edouard (2014). Journal of he Atmospheric Sciences, 74, 573-595.
- Sun, Y.Q.*, R. Rotunno, and F. Zhang, 2017: doi: Contributions of moist convection and internal gravity waves to building the atmospheric "-5/3" kinetic energy spectra, Journal of the Atmospheric Sciences, 74, 185-201.
- Tang, X.*, Z. Tan, J. Fang, Y.Q. Sun and F. Zhang, 2017: Impacts of diurnal radiation cycle on secondary eyewall formation. Journal of the Atmospheric Sciences, doi: https://doi.org/10.1175/JAS-D-17-0020.1.
- Chen*, X., F. Zhang, K. Zhao, 2017: Influence of Monsoonal Wind Speed and Moisture Content on Intensity and Diurnal Variations of the Mei-yu Season Coastal Rainfall over South China. Journal of the Atmospheric Sciences, accepted.
- Zhang, F., D. Tao*, Y.Q. Sun* and J. D. Kepert, 2017: Dynamics and predictability of secondary eyewall formation in sheared tropical cyclones. Journal of Advances in Modeling Earth Systems (JAMES), 9, DOI: 10.1002/2016MS000729.
- Minamide, M.*, and F. Zhang, 2017: Adaptive Observation Error Inflation for Assimilating All-sky Satellite Radiance. Monthly Weather Review,145, 1063-1081.
- Melhauser, C.*, F. Zhang, Y. Weng, Y. Jin, H. Jin and Q. Zhao, 2017: A Multiple-Model Convection-permitting Ensemble Examination of the Probabilistic Prediction of Tropical Cyclones: Hurricanes Sandy (2012) and Edouard (2014). Weather and forecasting, 32, 665-668.
- Zhao, K., M. Wang, P. Fu, Z. Yang, J. Wen, W-C Lee, and F. Zhang, 2017: Doppler radar analysis of a tornadic miniature supercell during the Landfall of Typhoon Mujigae (2015) in South China. Bulletin of the American Meteorological Society, DOI: http://dx.doi.org/10.1175/BAMS-D-15-00301.1.
- Zhu*, L., Z. Meng, F. Zhang, and P. M. Markowski, 2017: The influence of sea- and land-breeze circulations on the diurnal variability of precipitation over a tropical island. Atmospheric Chemistry and Physics Discussion, doi:10.5194/acp-2017-332 (Atmospheric Chemistry and Physics, in review).
- Chen*, X., O. Pauluis, F. Zhang, 2017: Regional Simulation of Indian summer Monsoon Intraseasonal Oscillations at Gray Zone Resolution. Atmospheric Chemistry and Physics Discussion, accepted (Atmospheric Chemistry and Physics, in review).
- Li*, M, F Zhang, Q Zhang, Harrington and MR Kumjian, 2017: Nonlinear Response of hail precipitation rate to environmental moisture content: a real case modeling study of an episodic midlatitude severe convective event. Journal of Geophysical Research - Atmosphere, 122, doi:10.1002/2016JD026373.
- Zhang, F., S. Talaphdar, and S. Wang, 2017: The role of global circumnavigating mode in the MJO initiation and propagation. Journal of Geophysical Research - Atmosphere, 122, 5837-5856.
- Sieron S. B.*, E.E. Clothiaux, F. Zhang, Y. Lu and J. Otkin, 2016: Fast Radiative Transfer Modeling for All-Sky Microwave Satellite Radiances: Modifying CRTM with Microphysics-Consistent Cloud Optical Properties. Journal of Geophysical Research - Atmosphere, 122, DOI: 10.1002/2017JD026494.
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2016
- Zhang, F., and K. A. Emanuel, 2016: On the role of surface fluxes and WISHE in tropical cyclone intensification. Journal of the Atmospheric Sciences, 73, 2011-2019.
- Emanuel, K. and F. Zhang, 2016: On the Predictability and Error Sources of Tropical Cyclone Intensity Forecasts, Journal of the Atmospheric Sciences, 73, 3739-3747.
- Chen, H. W.*, F. Zhang, R. B. Alley, 2016: Nonlinear atmospheric response to Arctic sea-ice loss under different sea ice scenarios, Journal of Climate, 29, 7831-7849.
- Tang, X.*, and F. Zhang, 2016: Impacts of the Diurnal Radiation Cycle on the Formation, Intensity and Structure of Hurricane Edouard (2014). Journal of the Atmospheric Sciences, 73, 2871-2892.
- Wei, J.*, F. Zhang, and J. H. Richter, 2016: Toward Improving Nonorographic Gravity Wave Parameterizations: An Analysis of Gravity Wave Spectral Characteristics in Moist Baroclinic Jet-Front Systems. Journal of the Atmospheric Sciences, 73, 3133-3155.
- Poterjoy, J.*, and F. Zhang, 2016: Comparison of hybrid four-dimensional data assimilation methods with and without the tangent linear and adjoint models for predicting the life cycle of Hurricane Karl (2010). Monthly Weather Review, 144, 1449-1468.
- Zhang, F., M. Minamide*, E.E. Clothiaux, 2016: Potential Impacts of Assimilating All-sky Satellite Radiances from GOES-R on Convection-Permitting Analysis and Prediction of Tropical Cyclones. Geophysical Research Letters, 43, doi:10.1002/2016GL068468.
- Sun, Y.Q.*, and F. Zhang, 2016: Intrinsic versus practical limits of atmospheric predictability and the significance of the butterfly effect. Journal of the Atmospheric Sciences, 73, 1419-1438.
- Dong, L.*, and F. Zhang, 2016: OBEST: An observation-based ensemble setting technique for tropical cyclone track forecasting. Weather and Forecasting, 31, 57–70.
- Zhu, L.*, Q. Wang, X. Shen, Z. Meng, F. Zhang, Y. Weng*, Y. Gao*, Y. Zhang*, J. Yue, 2016: Prediction and Predictability of a High-impact Western Pacific Landfalling Typhoon Vicente (2012) through Convection-permitting Ensemble Assimilation of Doppler Radar Velocity. Monthly Weather Review, 144, 21-43.
- Zhao, K. Q. Li, W-C Lee, Y.Q. Sun* and F. Zhang, 2016: Doppler Radar Analysis of Triple Eyewalls in Typhoon Usagi (2013). Bulletin of the American Meteorological Society, 97, 25-30.
- Mrowiec, A.A., O. M. Pauluis and F. Zhang, 2016: Isentropic analysis of a simulated hurricane. Journal of the Atmospheric Sciences,73, 1857-1870.
- Qiu, X*, and F. Zhang, 2016: Prediction and Predictability of an extreme local rainfall event through EnKF assimilation of radar observations. Science China - Earth Sciences, 59, 518-532.
- Zhang, Y. J.*, F. Zhang, Z. Meng, D. J. Stensrud 2016: Intrinsic Predictability of the 20 May 2013 Tornadic Thunderstorm Event in Oklahoma at Storm Scales. Monthly Weather Review, 144,1273-1298.
- Melhauser, C.*, and F. Zhang, 2016: Application of a Simplified Co-plane Wind Retrieval Using Dual-Beam Airborne Doppler Radar Observations for Tropical Cyclone Prediction. Monthly Weather Review, 144, 2645-2666.
- Stern, D. P.*, and F. Zhang, 2016: The Warm Core Structure of Hurricane Earl (2010). Journal of the Atmospheric Sciences,73, 3305-3328.
- Fang, J. and F. Zhang, 2016: Contribution of tropical waves to the formation of Super Typhoon Megi (2010). Journal of the Atmospheric Sciences,73, 4387-4405.
- Weng, Y.* and F. Zhang, 2016: Advances in Convection-permitting Tropical Cyclone Analysis and Prediction through EnKF Assimilation of Reconnaissance Aircraft Observations. Journal of Metrological Society of Japan, 94, 345-358.
- Zhang, F., W. Li* and M. E. Mann, 2016: Scale-dependent Regional Climate Predictability over North America Inferred from CMIP3 and CMIP5 Ensemble Simulations. Advances in Atmospheric Sciences, 33, 905-918.
- Sippel, J. A., F. Zhang, S. A. Braun, and D. Cecil, 2016: Further Exploring the Potential for Unmanned Aircraft to Benefit Hurricane Analyses and Forecasts. Tropical Cyclone Research and Review, accepted.
- Li, M.*, Q. Zhang and F. Zhang, 2016: Hail Frequency and its Association with Atmospheric Circulation Patterns in Mainland China during 1960-2012. Journal of Climate, 29, 7027-7044.
- Houtekamer, P. L. and F. Zhang, 2016: Review of the Ensemble Kalman Filter for Atmospheric Data Assimilation. Monthly Weather Review, DOI: http://dx.doi.org/10.1175/MWR-D-15-0440.1
- Chen, X.*, F. Zhang, K. Zhao, 2016: Diurnal variations of land-sea breeze and its related precipitation over South China, Journal of the Atmospheric Sciences, http://dx.doi.org/10.1175/JAS-D-16-0106.1
- Yueh, S., A Fore, W Tang, H Akiko, B Stiles, N Reul,Y Weng and F Zhang, 2016: SMAP L-Band Passive Microwave Observations Of Ocean Surface Wind During Severe Storms. IEEE Transactions on Geoscience and Remote Sensing, 54, 7339-7350.
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2015
- Zhang, F., and Y. Weng*, 2015: Predicting Hurricane Intensity and Associated Hazards: A Five-Year Real-Time Forecast Experiment with Assimilation of Airborne Doppler Radar Observations. Bulletin of the American Meteorological Society, 96, 25-32.
- Wei, J* and F. Zhang, 2015: Tracking gravity waves in moist baroclinic waves. Journal of Advances in Modeling Earth Systems (JAMES), 7, 67-91.
- Qian, T., P. Zhao, and F. Zhang, X. Bao, 2015: Rainy season precipitation over Sichuan Basin. Monthly Weather Review, 143, 383–394.
- Chi, Y.*, F. Zhang, W. Li*, J. He, and Z. Guan, 2015: Correlation between the Onset of the East Asian Subtropical Summer Monsoon and the Eastward Propagation of the Madden–Julian Oscillation Journal of the Atmospheric Sciences, 72, 1200–1214.
- Wang, S., A. H. Sobel, F. Zhang, Y. Qiang Sun*, Y. Yue*, L. Zhou, 2015: Regional Simulation of the October and November MJO Events Observed during the CINDY/DYNAMO Field Campaign at Gray Zone Resolution. Journal of Climate, 28, 2097–2119.
- Stern, D. P.*, J. Vigh, D.S. Nolan, and F. Zhang, 2015: Revisiting the Relationship Between Eyewall Contraction and Intensification. Journal of the Atmospheric Sciences, 72, 1283–1306.
- Yun*, Y., Q. Zheng, B. W. Green*, and F. Zhang, 2015: Mitigating atmospheric effects in the InSAR measurement through high-resolution data assimilation and numerical simulations with a weather prediction model. International Journal of Remote Sensing, 36, 2129-2147.
- Poterjoy, J.*, and F. Zhang, 2015a: Systematic comparison of tangent-linear and ensemble-based four-dimensional data assimilation methods using hybrid background error covariance: E4DVar versus 4DEnVar. Monthly Weather Reviewi, 143, 1601-1621.
- Green, B.W.*, and F. Zhang, 2015a: .Idealized Large Eddy Simulations of a Tropical Cyclone-Like Boundary Layer. Journal of the Atmospheric Sciences, 72, 1743-1764.
- Green, B.W.*, and F. Zhang, 2015b: Numerical simulations of Hurricane Katrina (2005) in the turbulent gray zone. Journal of Advances in Modeling Earth Systems, 7, 142-161.
- Zhang, F., J. Wei*, M. Zhang*, K.B. Bowman, L.L. Pan, E. Atlas, and S.C. Wofsy, 2015: Aircraft Measurements of Gravity Waves in the Upper Troposphere and Lower Stratosphere during the START08 Field Experiment. Atmospheric Chemistry and Physics, 15, 7667-7684.
- Zhang, Y. J.*, F. Zhang, Z. Meng, D. J. Stensrud 2015: Predictability of the 20 May 2013 Tornadic Thunderstorm Event in Oklahoma: Sensitivity to Synoptic Timing and Topographical Forcing. Monthly Weather Review, 143, 2973–2997.
- Munsell, E. B.*, J. A. Sippel, S. A. Braun, Y. Weng*, F. Zhang, 2015: Dynamics and predictability of Hurricane Nadine (2012) evaluated through convection-permitting ensemble analysis and forecasts. Monthly Weather Review, 143, 4514–4532.
- Ying, Y.*, and F. Zhang, 2015: An adaptive covariance relaxation method for ensemble data assimilation. Quarterly Journal of the Royal Meteorological Society, 141, 2898–2906.
- Colle, B. A., M. H. Bowman, K. J. Roberts, M. J. Bowman, C. N. Flagg, and J. Kuang, Y. Weng*, E.B. Munsell*, F. Zhang, 2015: Exploring the sensitivity of water level predictions for Metropolitan New York during Sandy (2012) using ensemble storm surge predictions. J. Marine Science & Engineering, 3, 428-443.
- Shi, Y.*, K. J. Davis, F. Zhang, C. J. Duffy, and X. Yu, 2015: Parameter estimation of a physically-based land surface hydrologic model using an ensemble Kalman filter: A multivariate real-data experiment. Advances in Water Resources, 83, 421-427.
- Shu*, S. and F. Zhang, 2015: Influence of Equatorial Wave Disturbances on the Genesis of Super Typhoon Haiyan (2013). Journal of the Atmospheric Sciences, 72, 4591–4613.
- Tao, D.*, and F. Zhang, 2015: Effects of Vertical Wind Shear on the Predictability of Tropical Cyclones: Practical versus Intrinsic Limit. Journal of Advances in Modeling Earth Systems (JAMES), DOI: 10.1002/2015MS000474.
- Zhang, F., C. Melhauser*, D. Tao*, Y. Q. Sun*, E. B. Munsell*, Y. Weng* and J. A. Sippel*, 2015: Predictability of Severe Weather and Tropical Cyclones at the Mesoscales. To appear in Dynamics and Predictability of Large-scale, High-impact Weather and Climate Events (eds, J. Li, R. Swinbank, H. Volkert and R. Grotjahn). Cambridge University Press.
- Plougonven, R., and F. Zhang, 2015: Gravity waves generated by jets and fronts and their relevance for clear-air turbulence. Aviation Turbulence: Processes, Measurement (Eds R. Sharman and T. Lane), Springer, in press.
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2014
- Munsell, E. B.*, and F. Zhang, 2014: Prediction and uncertainty of Hurricane Sandy (2012) explored through a real-time cloud-permitting ensemble analysis and forecast system assimilating airborne Doppler observations. Journal of Advances in Modeling Earth Systems (JAMES), 6, 1-20.
- Plougonven, R., and F. Zhang, 2014: Internal gravity waves from atmospheric jets and fronts. Reviews of Geophysics, 52, 33-76.
- Wei, J.*, and F. Zhang, 2014: Mesoscale gravity waves in moist baroclinic jet-front systems. Journal of the Atmospheric Sciences, 71, 929-952.
- Melhauser, C.*, and F. Zhang, 2014: Diurnal radiation cycle impact on the pre-genesis environment of Hurricane Karl (2010). Journal of the Atmospheric Sciences, 71, 1241-1259.
- Poterjoy, J.*, and F. Zhang, 2014: Predictability and genesis of Hurricane Karl (2010) examined through the EnKF assimilation of field observations collected during PREDICT. Journal of the Atmospheric Sciences, 71, 1260-1275.
- Poterjoy, J.*, F. Zhang, and Y. Weng*, 2014: The effects of sampling errors on the EnKF assimilation of inner-core hurricane observations .Monthly Weather Review, 142, 1609-1630 .
- Shi, Y.*, K. J. Davis, F. Zhang, and C. J. Duffy, 2014: Evaluation of the Parameter Sensitivities of a Coupled Land Surface Hydrologic Model at a Critical Zone Observatory. Journal of Hydrometeorology, 15, 279-299.
- Green, B.W.*, and F. Zhang, 2014: Sensitivity of Tropical Cyclone Simulations to Parametric Uncertainties in Air-Sea Fluxes and Implications for Parameter Estimation. Monthly Weather Review, 142, 2290-2308, doi: http://dx.doi.org/10.1175/MWR-D-13-00208.1
- Bei, N., and F. Zhang, 2014: Mesoscale Predictability of Moist Baroclinic Waves:Variable and Scale Dependent Error Growth. Advances in Atmospheric Sciences, doi: 10.1007/s00376-014-3191-7.
- Shu, S.*, F. Zhang, J. Ming, and Y. Wang, 2014: Environmental Influences on the Intensity Changes of Tropical Cyclones over the Western North Pacific. Atmospheric Chemistry and Physics, 14, 6329–6342, 2014. doi:10.5194/acp-14-6329-2014(ACPDdoi:10.5194/acpd-13-31815-2013).
- Shi, Y.*, K. J. Davis, F. Zhang,C. J. Duffy, and X. Yu, 2014: Parameter Estimation of a Physically-Based Land Surface Hydrologic Model Using the Ensemble Kalman Filter: A Synthetic Experiment.Water Resources Research, 50, 706-724, doi:10.1002/2013WR014070.
- Tao, D.*, and F. Zhang, 2014: Effect of environmental shear, sea-surface temperature and ambient moisture on the formation and predictability of tropical cyclones: an ensemble-mean perspective. Journal of Advances in Modeling Earth Systems (JAMES), DOI:10.1002/2014MS000314.
- Zhang, Y. J.*, Z. Meng, Y. Weng*, and F. Zhang, 2014: Predictability of Tropical Cyclone Intensity Evaluated through 5-year Forecasts with a Convection-permitting Regional-scale Model in the Atlantic Basin. Weather and Forecasting, 29, 1003-1023. CORRIGENDUM: doi: http://dx.doi.org/10.1175/WAF-D-14-00103.1
- Poterjoy, J.*, and F. Zhang, 2014: Inter-comparison and coupling of ensemble and variational data assimilation approaches forfor the analysis and forecasting of Hurricane Karl (2010). Monthly Weather Review, 142, 3347-3364.
- Taraphdar, S., P. Mukhopadhyay, R. L. Lueng, F. Zhang, S. Abhilash, and B. N. Goswami, 2014: The Role of Moist Processes in the Intrinsic Predictability of Indian Ocean Cyclones. Journal of Geophysical Research-Atmosphere, 119, doi:10.1002/2013JD021265
- Zhen, Y.*, and F. Zhang, 2014: A Probabilistic Approach of Adaptive Covariance Localization For Serial Ensemble Square-root Filters.Monthly Weather Review, 142, 4499-4518. doi: http://dx.doi.org/10.1175/MWR-D-13-00390.1
- Zhang, Y. C.*, F. Zhang, and J. Sun, 2014: Comparison of the diurnal variations of warm-season precipitation for East Asia versus North America downstream of the Tibetan Plateau versus the Rocky Mountains. Atmospheric Chemistry and Physics, 14, 10741-10759.
- Sippel, J.A., F. Zhang, Y. Weng*,Lin Tian, Gerald M. Heymsfield, and Scott A. Braun, 2014: Ensemble Kalman Filter Assimilation of HIWRAP Observations of Hurricane Karl (2010) from the Unmanned Global Hawk Aircraft. Monthly Weather Review, 142, 4559-4580.
- Zhang, X., X.-Y Huang, J. Liu, J. Poterjoy*, Y. Weng* and F. Zhang, 2014: Development of an efficient regional four-dimensional variational data assimilationsystem for WRF. Journal of Atmospheric and Oceanic Technology, 31, 2777-2794.
- Plougonven, R., and F. Zhang, 2014: Internal gravity waves from atmospheric jets and fronts. Encyclopedia of Atmospheric Sciences (2nd edition), Academic Press, Volume 3, 164-170.
- Meng, Z, and F. Zhang, 2014: Ensemble-based data assimilation. Encyclopedia of Atmospheric Sciences (2nd edition), Academic Press, Volume 2, 241-247.
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