Xue Zheng

(she/her)

Portrait of Xue Zheng
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  • Title
    Research Scientist
  • Email
    zheng7@llnl.gov
  • Phone
    (925) 423-1028
  • Organization
    PLS-AEED-ATMOSPHERIC, EARTH, ENERGY

Research Areas

Aerosol-cloud interactions

Cloud parameterizations in GCMs

Climate model development and validation

Professional Activities

Principal investigator for the project "Using ARM Data and Multiscale Models to Advance the Understanding of Liquid- Phase Cloud Response to Aerosol Perturbation over Ocean and Land," funded by the DOE Early Career Research Program (2021 - present)

Lead for the DOE E3SM version 3.0 High-Resolution Coupled model project (2024 -present)

Program co-chair for the 16th Symposium on Aerosol–Cloud–Climate Interactions sponsored by the American Meteorological Society (2023 - present).

Member of the Committee on Atmospheric Chemistry of the Scientific and Technological Activities Commission (STAC) for the American Meteorological Society (2023 - present).

Ph.D., Meteorology, University of Miami, Miami, Florida

M.S., Meteorology, Chinese Academy of Meteorological Sciences, Beijing, China

B.S., Atmospheric Sciences, Nanjing University, Nanjing, China

Qin, Y., Zheng, X., Klein, S. A., Zelinka, M. D., Ma, P.-L., Golaz, J.-C., & Xie, S. (2024). Causes of reduced climate sensitivity in E3SM from version 1 to version 2. Journal of Advances in Modeling Earth Systems, 16, e2023MS003875. https://doi.org/10.1029/2023MS003875
 

Qiu, S., Zheng, X., Painemal, D., Terai, C., and Zhou, X.: Diurnal variation of aerosol indirect effect for warm marine boundary layer clouds in the eastern north Atlantic, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-1676, 2023.

Zheng, X., Yunyan Zhang, Stephen A. Klein, et al. Using Satellite and ARM Observations to Evaluate Cold Air Outbreak Cloud Transitions in E3SM Global Storm-Resolving Simulations. ESS Open Archive . December 27, 2023.
DOI: 10.22541/essoar.170365391.13508164/v1

Zhang, Y., Xie, S., Qin, Y., Lin, W., Golaz, J.-C., Zheng, X., Ma, P.-L., Qian, Y., Tang, Q., Terai, C. R., and Zhang, M.: Understanding Changes in Cloud Simulations from E3SM Version 1 to Version 2, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-1263, 2023.

Zhang, M., Xie, S., Liu, X., Zhang, D., Lin, W., Zhang, K., Golaz, J.-C., Zheng, X., and Zhang, Y.: (2023). Evaluating EAMv2 simulated high latitude clouds using ARM measurements in the Northern and Southern Hemispheres. Journal of Geophysical Research: Atmospheres, 128, e2022JD038364. https://doi.org/10.1029/2022JD038364

Tang, Q., Golaz, J.-C., Van Roekel, L. P., Taylor, M. A., Lin, W., Hillman, B. R., Ullrich, P. A., Bradley, A. M., Guba, O., Wolfe, J. D., Zhou, T., Zhang, K., Zheng, X., Zhang, Y., Zhang, M., Wu, M., Wang, H., Tao, C., Singh, B., Rhoades, A. M., Qin, Y., Li, H.-Y., Feng, Y., Zhang, Y., Zhang, C., Zender, C. S., Xie, S., Roesler, E. L., Roberts, A. F., Mametjanov, A., Maltrud, M. E., Keen, N. D., Jacob, R. L., Jablonowski, C., Hughes, O. K., Forsyth, R. M., Di Vittorio, A. V., Caldwell, P. M., Bisht, G., McCoy, R. B., Leung, L. R., and Bader, D. C.: The fully coupled regionally refined model of E3SM version 2: overview of the atmosphere, land, and river results, Geosci. Model Dev., 16, 3953–3995, https://doi.org/10.5194/gmd-16-3953-2023, 2023.

Faruque, O., F. N. Nji, M. Cham, R. M. Salvi, X. Zheng, J. Wang, 2023: Deep Spatiotemporal Clustering: A Temporal Clustering Approach for Multi-dimensional Climate Data, Machine Learning (cs.LG), eprint arXiv:2304.14541, https://doi.org/10.48550/arXiv.2304.14541

Golaz, J.-C., Van Roekel, L. P., Zheng, X., Roberts, A. F., Wolfe, J. D., Lin, W., et al. (2022). The DOE E3SM Model version 2: Overview of the physical model and initial model evaluation. Journal of Advances in Modeling Earth Systems, 14, e2022MS003156. https://doi.org/10.1029/2022MS003156

Zheng, X., Li, Q., Zhou, T., Tang, Q., Van Roekel, L. P., Golaz, J.-C., Wang, H., and Cameron-Smith, P.: Description of historical and future projection simulations by the global coupled E3SMv1.0 model as used in CMIP6, Geosci. Model Dev., 15, 3941–3967, https://doi.org/10.5194/gmd-15-3941-2022, 2022.
 

Zhang, K., Zhang, W., Wan, H., Rasch, P. J., Ghan, S. J., Easter, R. C., Shi, X., Wang, Y., Wang, H., Ma, P.-L., Zhang, S., Sun, J., Burrows, S. M., Shrivastava, M., Singh, B., Qian, Y., Liu, X., Golaz, J.-C., Tang, Q., Zheng, X., Xie, S., Lin, W., Feng, Y., Wang, M., Yoon, J.-H., and Leung, L. R.: Effective radiative forcing of anthropogenic aerosols in E3SM version 1: historical changes, causality, decomposition, and parameterization sensitivities, Atmos. Chem. Phys., 22, 9129–9160, https://doi.org/10.5194/acp-22-9129-2022, 2022.

 
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Here we analyze effective aerosol forcing simulated by E3SMv1 using both century-long...
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Ma, P.-L., Harrop, B. E., Larson, V. E., Neale, R. B., Gettelman, A., Morrison, H., Wang, H., Zhang, K., Klein, S. A., Zelinka, M. D., Zhang, Y., Qian, Y., Yoon, J.-H., Jones, C. R., Huang, M., Tai, S.-L., Singh, B., Bogenschutz, P. A., Zheng, X., Lin, W., Quaas, J., Chepfer, H., Brunke, M. A., Zeng, X., Mülmenstädt, J., Hagos, S., Zhang, Z., Song, H., Liu, X., Pritchard, M. S., Wan, H., Wang, J., Tang, Q., Caldwell, P. M., Fan, J., Berg, L. K., Fast, J. D., Taylor, M. A., Golaz, J.-C., Xie, S., Rasch, P. J., and Leung, L. R.: Better calibration of cloud parameterizations and subgrid effects increases the fidelity of the E3SM Atmosphere Model version 1, Geosci. Model Dev., 15, 2881–2916, https://doi.org/10.5194/gmd-15-2881-2022, 2022.
 
Ghate, V. P., Cadeddu, M. P., Zheng, X., & O’Connor, E., 2021: Turbulence in the Marine Boundary Layer and Air Motions below Stratocumulus Clouds at the ARM Eastern North Atlantic Site, Journal of Applied Meteorology and Climatology, 60(10), 1495-1510. https://doi.org/10.1175/JAMC-D-21-0087.1
 
Ma, H.-Y., Zhou, C., Zhang, Y., Klein, S. A., Zelinka, M. D., Zheng, X., Xie, S., Chen, W.-T., and Wu, C.-M., 2021: A multi-year short-range hindcast experiment with CESM1 for evaluating climate model moist processes from diurnal to interannual timescales, Geosci. Model Dev., 14, 73–90, https://doi.org/10.5194/gmd-14-73-2021.
 
Zheng, X., Klein, S. A. Ghate, V., Santos, S., McGibbon, J., Caldwell, P., Bogenschutz, P., Lin, W., & Cadeddu, M. P., 2020 : Assessment of Precipitating Marine Stratocumulus Clouds in the E3SMv1 Atmosphere Model: A Case Study from the ARM MAGIC Field Campaign. Mon. Wea. Rev., 148, 3341-3359. https://doi.org/10.1175/MWR-D-19-0349.1
 
Zhang, M., Xie, S., Liu, X., Lin, W., Zhang, K., Ma, H.-Y., Zheng, X., Zhang, Y., 2020: Toward understanding the simulated phase partitioning of arctic single-layer mixed-phase clouds in E3SM. Earth and Space Science, 7, e2020EA001125. https://doi.org/10.1029/2020EA001125
 
Zheng, X., Golaz, J.-C., Xie, S., Tang, Q., Lin, W., Zhang, M., et al., 2019: The summertime precipitation bias in E3SM Atmosphere Model version 1 over the Central United States. Journal of Geophysical Research: Atmospheres, 124, 8935– 8952. https://doi.org/10.1029/2019JD030662
 
Tang, Q., Klein, S. A., Xie, S., Lin, W., Golaz, J.-C., Roesler, E. L., Taylor, M. A., Rasch, P. J., Bader, D. C., Berg, L. K., Caldwell, P., Giangrande, S. E., Neale, R. B., Qian, Y., Riihimaki, L. D., Zender, C. S., Zhang, Y., and Zheng, X., 2019: Regionally refined test bed in E3SM atmosphere model version 1 (EAMv1) and applications for high-resolution modeling, Geosci. Model Dev., 12, 2679–2706, https://doi.org/10.5194/gmd-12-2679-2019.
 
Xie, S., Wang, Y.-C., Lin, W., Ma, H.-Y., Tang, Q., Tang, S., Zheng, X., et al., 2019: Improved diurnal cycle of precipitation in E3SM with a revised convective triggering function. Journal of Advances in Modeling Earth Systems, 11, 2290– 2310. https://doi.org/10.1029/2019MS001702

Golaz, J.-C., P. M. Caldwell, …, Zheng, X., 2019: The DOE E3SM coupled model version 1: Overview and evaluation at standard resolution, Journal of Advances in Modeling Earth Systems. doi: https://doi.org/10.1029/2018MS001603

Zheng, X., Klein, S. A., Ma, H.-Y., Caldwell, P., Larson, V. E., Gettelman, A. and Bogenschutz, P., 2017: A cloudy planetary boundary layer oscillation arising from the coupling of turbulence with precipitation in climate simulations. J. Adv. Model. Earth Syst., 9, 1973–1993, doi:10.1002/2017MS00099 

Zheng, X., S. A. Klein, H.-Y. Ma, P. Bogenschutz, A. Gettelman, and V. E. Larson, 2016: Assessment of Marine Boundary Layer Cloud Simulations in the CAM with CLUBB and Updated Microphysics Scheme Based on ARM Observations from the Azores, J. Geophys. Res., 121, 8472–8492, doi: 10.1002/2016JD025274

Ma, H.-Y., C. C. Chuang, S. A. Klein, M.-H. Lo, Y. Zhang, S. Xie, X. Zheng, P.-L. Ma, Y. Zhang, and T. J. Phillips, 2015: An improved hindcast approach for evaluation and diagnosis of physical processes in global climate models, J. Adv. Model. Earth Syst., 7, 1810–1827, doi:10.1002/2015MS000490.

Wang, S., X. Zheng, and Q. Jiang, 2012: Strongly sheared stratocumulus convection: an observationally based large-eddy simulation study. Atmos. Chem. Phys., 12, 5223-5235, doi: 10.5194/acp-12-5223-2012.

Wang, S., L. W. O’Neill, Q. Jiang, S. P. de Szoeke, X. Hong, H. Jin, W. T. Thompson, and X. Zheng, 2011: A regional real-time forecast of marine boundary layers during VOCALS-REx.  Atmos. Chem. Phys., 11, 421–437, doi: 10.5194/acp-11-421-2011.

Zheng, X., B. A. Albrecht, P. Minnis, K. Ayers, and H. H. Jonsson, 2010: Observed aerosol and liquid water path relationships in marine stratocumulus. Geophys. Res. Lett., 37, L17803, doi: 10.1029/2010GL044095.

Bretherton, C. S., R. Wood, R. C. George, D. Leon, G. Allen, and X. Zheng, 2010: Southeast Pacific stratocumulus clouds, precipitation and boundary layer structure samples along 20S during VOCALS-REx. Atmos. Chem. Phys., 10, 10639-10654.

Zheng, X., Y. H. Duan, and H. Yu, 2007: Dynamical effects of environmental vertical wind shear on tropical cyclone motion, structure, and intensity.  Meteorol. Atmos. Phys., 97, 1-4, 207-220.

Early Career Research Program award, US Department of Energy, 2021-2026

LLNL Physical and Life Sciences Directorate Award for Excellence in Publication describing the E3SM version 2.0, 2023

LLNL Physical and Life Sciences Directorate Award for Developing THREAD, a new SFA integrating global storm resolving models and long-term ground-based observations, 2023

LLNL Physical and Life Sciences Directorate Award for External Leadership and Recognition, 2021

LLNL Physical and Life Sciences Directorate Award for Excellence in Publication “For improving our ability to model one of climate’s most challenging aspects: precipitation”, 2020

LLNL Spot Award for contributions to the finalization of the E3SMv2 Water Cycle LR model, 2019