(solid indicates group members)
(“#” indicates graduate/undergraduate students I advised or co-advised)
2022
45. 2022). A High-Resolution Tropical Mesoscale Convective System Reanalysis (TMeCSR). Journal of Advances in Modeling Earth Systems, 14, e2021MS002948. https://doi.org/10.1029/2021MS002948
, , & (44. Fan, D.https://doi.org/10.1175/JAS-D-21-0285.1
, Greybush, S. J., Chen, X., Lu, Y., Zhang, F., & Young, G. S. (2022). Exploring the Role of Deep Moist Convection in the Wavenumber Spectra of Atmospheric Kinetic Energy and Brightness Temperature. J. Atmos. Sci..43. 2022). Observed and projected changes of large-scale environments conducive to spring MCS initiation over the US Great Plains. Geophys. Res. Lett., 49, e2022GL098799. https://doi.org/10.1029/2022GL098799
, , , , & (42. Rao, X.#, Zhao, K., Chen, X., Huang, A., Hu, S., Hu, D., & Liu, X. (2022). Roles of multi-scale orography in triggering nocturnal convection at a summer rainfall hotspot over the South China coast: A case study. J. Geophys. Res. Atmos., 127, e2022JD036503. https://doi.org/10.1029/2022JD036503
41. 2022). Precipitation-moisture coupling over tropical oceans: Sequential roles of shallow, deep, and mesoscale convective systems. Geophys. Res. Lett., 49, e2022GL097836. https://doi.org/10.1029/2022GL097836
, , , & (40. Chen, X., Leung, L. R., Feng, Z., & Song, F. (2022). Crucial Role of Mesoscale Convective Systems in the Vertical Mass, Water, and Energy Transports of the South Asian Summer Monsoon, J. Climate, 35(1), 91-108. https://doi.org/10.1175/JCLI-D-21-0124.1
39. Chan, M.# and Chen, X. (2022). Improving Analyses and Forecasts of a Tropical Squall Line using Upper Tropospheric Infrared Satellite Observations, Adv. Atmos. Sci., in press, https://doi.org/10.1007/s00376-021-0449-8
38. Ruppert, J. H., Jr., Koch, S. E., Chen, X., Du, Y., Seimon, A., Sun, Y. Q., Wei, J., & Bosart, L. F. (2022). Mesoscale Gravity Waves and Midlatitude Weather: A tribute to Fuqing Zhang, Bull. Amer. Meteor. Soc., https://journals.ametsoc.org/view/journals/bams/aop/BAMS-D-20-0005.1/BAMS-D-20-0005.1.xml
2021
37. Zhang, Y., Sieron, S. B., Lu, Y., Chen, X., Nystrom, R. G., Minamide, M., et al. (2021). Ensemble-Based Assimilation of Satellite All-Sky Microwave Radiances Improves Intensity and Rainfall Predictions for Hurricane Harvey (2017). Geophys. Res. Lett., 48, e2021GL096410. https://doi.org/10.1029/2021GL096410
36. Li, Z.#, Chan, J. C. L., Zhao, K., & Chen, X. (2021). Impacts of urban expansion on the diurnal variations of summer monsoon precipitation over the south China coast. J. Geophys. Res. Atmos., 126, e2021JD035318. https://doi.org/10.1029/2021JD035318
35. Chen, X., Leung, L. R., Feng, Z., Song, F., & Yang, Q. (2021). Mesoscale convective systems dominate the energetics of the South Asian summer monsoon onset. Geophys. Res. Lett., 48, e2021GL094873. https://doi.org/10.1029/2021GL094873
34. Yang, Q., Leung, L. R., Feng, Z., Song, F., and Chen, X. (2021). A Simple Lagrangian Parcel Model for the Initiation of Summer-time Mesoscale Convective Systems over the Central United States. J. Atmos. Sci., https://doi.org/10.1175/JAS-D-21-0136.1
33. Hartman, C. M.#, Chen, X., Clothiaux, E. E., and Chan, M.# (2021). Improving the Analysis and Forecast of Hurricane Dorian (2019) with Simultaneous Assimilation of GOES-16 All-Sky Infrared Brightness Temperatures and Tail Doppler Radar Radial Velocities, Mon. Wea. Rev., https://doi.org/10.1175/MWR-D-20-0338.1
32. Zhang, Y., Chen, X., and Lu, Y. (2021). Structure and Dynamics of Ensemble Correlations for Satellite All-Sky Observations in an FV3-Based Global-to-Regional Nested Convection-Permitting Ensemble Forecast of Hurricane Harvey, Mon. Wea. Rev., https://doi.org/10.1175/MWR-D-20-0369.1
31. Song, F., Feng, Z., Leung, L. R., Pokharel, B., Simon Wang, S.-Y., Chen, X., et al. (2021). Crucial roles of eastward propagating environments in the summer MCS initiation over the U.S. Great Plains. J. Geophys. Res. Atmos., 126, e2021JD034991. https://doi.org/10.1029/2021JD034991
30. Nystrom, R. G., Greybush, S. J., Chen, X., and Zhang, F. (2021). Potential for new constraints on tropical cyclone surface-exchange coefficients through simultaneous ensemble-based state and parameter estimation, Mon. Wea. Rev., https://doi.org/10.1175/MWR-D-20-0259.1
29. Chen, X., Nystrom, R. G., Davis, C. A., & Zarzycki, C. (2021). Dynamical Structures of Cross-Domain Forecast Error Covariance of a Simulated Tropical Cyclone in a Convection-Permitting Coupled Atmosphere-Ocean, Model. Mon. Wea. Rev., 1-52., https://doi.org/10.1175/MWR-D-20-0116.1
28. Wang, C.#, Zhao, K., Huang, A., Chen, X., & Rao, X. (2021). The Crucial Role of Synoptic Pattern in Determining the Spatial Distribution and Diurnal Cycle of Heavy Rainfall over the South China Coast, J. Climate, 34(7), 2441-2458., https://doi.org/10.1175/JCLI-D-20-0274.1
27. Wu, D., Zhang, F., Chen, X., Ryzhkov, A., Zhao, K., Kumjian, M. R., Chen, X., & Chan, P. (2021). Evaluation of Microphysics Schemes in Tropical Cyclones using Polarimetric Radar Observations: Convective Precipitation in an Outer Rainband, Mon. Wea. Rev., 149(4), 1055-1068., https://doi.org/10.1175/MWR-D-19-0378.1
2020
26. Chan, M.#, Anderson, J. L., & Chen, X. (2020). An efficient bi-Gaussian ensemble Kalman filter for satellite infrared radiance data assimilation. Mon. Wea. Rev., 1-58., https://doi.org/10.1175/MWR-D-20-0142.1
25. Chan, M.#, F. Zhang, Chen, X., and L. R. Leung (2020), Potential Impacts of Assimilating All-Sky Satellite Infrared Radiances on Convection-Permitting Analysis and Prediction of Tropical Convection. Mon. Wea. Rev., 148, 3203–3224, https://doi.org/10.1175/MWR-D-19-0343.1
24. Chen, X., Pauluis, O. M., Leung, L. R., and Zhang, F. (2020), Significant contribution of mesoscale overturning to tropical mass and energy transport revealed by the ERA5 reanalysis. Geophys. Res. Lett., 47, https://doi.org/10.1029/2019GL085333
23. Nystrom, R. G., Chen, X., Zhang, F., and Davis, C. A. (2020). Nonlinear Impacts of Surface Exchange Coefficient Uncertainty on Tropical Cyclone Intensity and Air-Sea Interactions. Geophys. Res. Lett., 47, https://doi.org/10.1029/2019GL085783
22. Rupert J. and Chen, X. (2020), Island Rainfall Enhancement in the Maritime Continent, Geophys. Res. Lett., https://doi.org/10.1029/2019GL086545
21. Zhu, L., Chen, X., and Bai, L. (2020), Relative Roles of Low-level Wind Speed and Moisture in the Diurnal Cycle of Rainfall over a Tropical Island under Monsoonal Flows. Geophys. Res. Lett., 47, https://doi.org/10.1029/2020GL087467
20. Rupert J., Chen, X., and Zhang, F. (2020), Convectively Forced Diurnal Gravity Waves in the Maritime Continent, J. Atmos. Sci.,76, 2815–2835, https://doi.org/10.1175/JAS-D-19-0236.1
19. Ou, T., Chen, D., Chen, X. et al. (2020), Simulation of summer precipitation diurnal cycles over the Tibetan Plateau at the gray-zone grid spacing for cumulus parameterization. Clim Dyn, 54, 3525-353, https://doi.org/10.1007/s00382-020-05181-x
18. Yang, J.#, K. Zhao, X. Chen, A. Huang, Y. Zheng, and K. Sun (2020), Sub-seasonal and diurnal variability in lightning and storm activity over the Yangtze River Delta, China during Meiyu season. J. Climate, 33, 5013–5033, https://doi.org/10.1175/JCLI-D-19-0453.1
2019
17. Chen, X. and Zhang, F. (2019), Development of a Convection-Permitting Air-Sea-Coupled Ensemble Data Assimilation System for Tropical Cyclone Prediction, Journal of Advances in Modeling Earth Systems, 11. https://doi.org/10.1029/2019MS001795
16. Chen, X., Zhang, F. and Rupert J. (2019), Modulations of Coastal Rainfall Diurnal Cycle over South China by the Boreal Summer Intraseasonal Oscillation, J. Climate, 32(7), 2089-2108, https://doi.org/10.1175/JCLI-D-18-0786.1
15. He, J.#, Zhang, F., Chen, X., Bao, X., Chen, D., Kim, H. M., et al. (2019), Development and evaluation of an ensemble-based data assimilation system for regional reanalysis over the Tibetan Plateau and surrounding regions. Journal of Advances in Modeling Earth Systems, 11, https://doi.org/10.1029/2019MS001665
14. Chen, X. and Zhang, F. (2019), Relative roles of preconditioning moistening and global circumnavigating mode on the MJO convective initiation during DYNAMO, Geophys. Res. Lett., https://doi.org/10.1029/2018GL080987
13. Zhang, F., M. Masashi, R. Nystrom, Chen, X., S.-J. Lin, and L. Harris (2019), Improving Harvey Forecasts with Next-Generation Weather Satellites: Advanced Hurricane Analysis and Prediction with Assimilation of GOES-R All-Sky Radiances, Bull. Amer. Meteor. Soc., 100, 1217–1222, https://doi.org/10.1175/BAMS-D-18-0149.1
12. Rao, X.#, Zhao, K., Chen, X., Huang, A., Xue, M., Zhang, Q., & Wang, M. (2019), Influence of synoptic pattern and low-level wind speed on intensity and diurnal variations of orographic convection in summer over Pearl River Delta, South China. J. Geophys. Res. Atmos., 124, 6157– 6179. https://doi.org/10.1029/2019JD030384
2014-2018
11. Chen, X., Pauluis, O. M., and Zhang, F. (2018), Regional simulation of Indian summer monsoon intraseasonal oscillations at gray-zone resolution, Atmos. Chem. Phys., 18, 1003-1022, https://doi.org/10.5194/acp-18-1003-2018
10. Chen, X., Pauluis, O. M., and Zhang, F. (2018), Atmospheric Overturning across Multiple Scales of an MJO Event during the CINDY/DYNAMO Campaign. J. Atmos. Sci., 75, 381–399, https://doi.org/10.1175/JAS-D-17-0060.1
9. Chen, X., Pauluis, O. M., L. R. Leung, and Zhang, F. (2018), Multiscale Atmospheric Overturning of Indian Summer Monsoon as Seen through Isentropic Analysis. J. Atmos. Sci., https://doi.org/10.1175/JAS-D-18-0068.1
8. Taraphdar, S., Zhang, F., L.R. Leung, Chen, X., and Pauluis, O. M. (2018), MJO Affects the Monsoon Onset Timing Over the Indian Region, Geophys. Res. Lett., 45. https://doi.org/10.1029/2018GL078804
7. Chen, X., F. Zhang, and 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. J. Atmos. Sci., 74, 2835–2856, https://doi.org/10.1175/JAS-D-17-0081.1
6. Chen, X., F. Zhang, and K. Zhao (2016), Diurnal Variations of the Land–Sea Breeze and Its Related Precipitation over South China. J. Atmos. Sci., 73, 4793–4815, https://doi.org/10.1175/JAS-D-16-0106.1
5. Chen, X., K. Zhao, J. Sun, B. Zhou and W. Lee (2016), Assimilating surface observations in a four-dimensional variational Doppler radar data assimilation system to improve the analysis and forecast of a squall line case, Adv. Atmos. Sci., 33, 1106, https://doi.org/10.1007/s00376-016-5290-0
4. L. Wen., K. Zhao, G. Zhang, M. Xue, B. Zhou, L. Su, and Chen, X. (2016), Statistical Characteristics of Raindrop Size Distributions Observed in East China during the Asian Summer Monsoon Season using 2D-Video Distrometer and Micro-rain Radar Data, J. Geophys. Res. Atmos., 121, 2265–2282, https://doi.org/10.1002/2015JD024160
3. K. Zhou, Chen, X., D. Wang and H. Xu (2016), Analysis of the structure and environment of a squall line in Huaihe river basin in 2014, Torrential Rain and Disaster, 35(1):69-75, (in Chinese)
2. Chen, X., K. Zhao, M. Xue, B. Zhou, X. Huang, and W. Xu (2015), Radar-observed diurnal cycle and propagation of convection over the Pearl River Delta during Mei-Yu season, J. Geophys. Res. Atmos., 120, https://doi.org/10.1002/2015JD023872
1. Chen, X., K. Zhao, and M. Xue (2014), Spatial and temporal characteristics of warm season convection over Pearl River Delta region, China, based on 3 years of operational radar data, J. Geophys. Res. Atmos., 119, 12,447–12,465, https://doi.org/10.1002/2014JD021965