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Staff information

Hui Wan

Earth Systems Analysis & Modeling
Earth Scientist
Pacific Northwest National Laboratory
PO Box 999
MSIN: K9-30
Richland, WA 99352

Biography

Dr. Hui Wan is a global climate modeler in the Atmospheric Sciences and Global Change Division. She started at PNNL as a Linus Pauling Distinguished Postdoctoral Fellow and then became a staff member. Her current research focuses primarily on identifying and reducing numerical artifacts in physics parameterizations and process interactions in global atmosphere models. She is also interested in computationally efficient methods for numerical experimentation and model evaluation. Dr. Wan is a member of the Organizing Committee for the workshop series on Physics Dynamics Coupling in Weather and Climate Models.

Prior to joining PNNL, Dr. Wan was a core member of the ICON group at the Max Planck Institute for Meteorology in Germany where she was responsible for developing a hydrostatic atmospheric dynamical core on triangular grids. During the earlier years of her graduate study at the Institute of Atmospheric Physics (IAP) of the Chinese Academy of Sciences, she developed the first version of the climate model GAMIL using a finite-difference dynamical core of IAP's and the physics parameterizations from the NCAR CAM2 model.

Research Interests

  • Atmosphere modeling
  • Numerical methods for dynamical core and physics parameterization
  • Idealized test cases
  • Atmospheric model evaluation

Education and Credentials

  • Ph.D. (summa cum laude), Meteorology, Max Planck Institute for Meteorology and University of Hamburg, Germany
  • B.S. (with distinction), Meteorology, Nanjing Institute of Meteorology, China

Affiliations and Professional Service

  • Member of the American Geophysical Union
  • Member of the American Meteorological Society
  • Member of the Society for Industrial and Applied Mathematics

Awards and Recognitions

  • Editor's Citation for Excellence in Refereeing for Journal of Advances in Modeling Earth Systems (JAMES), 2017
  • New PI Award, Pacific Northwest National Laboratory, 2017
  • Thought Leadership Award, Pacific Northwest National Laboratory, 2016
  • Associate Editor of Monthly Weather Review, 2014
  • Outstanding Performance Award, Pacific Northwest National Laboratory, 2014
  • Linus Pauling Distinguished Postdoctoral Fellow, Pacific Northwest National Laboratory, 2011-2014
  • Award for outstanding poster at the World Climate Research Program Open Science Conference, 2011
  • Otto Hahn Medal of the Max Planck Society, 2009
  • Wladimir Peter Koppen Prize for Climate and Earth System Research, KlimaCampus, University of Hamburg, 2009
  • Chinese Government Award for Outstanding Self-financed Students Abroad, 2007
  • Excellent student award, Graduate School of the Chinese Academy of Sciences, 2002
  • Excellent student awards, Nanjing Institute of Meteorology, 1997-2001

PNNL Publications

2018

  • Liu Y., K. Zhang, Y. Qian, Y. Wang, Y. Zou, Y. Song, and H. Wan, et al. 2018. "Investigation of short-term effective radiative forcing of fire aerosols over North America using nudged hindcast ensembles." Atmospheric Chemistry and Physics 18, no. 1:31-47. PNNL-SA-131476. doi:10.5194/acp-18-31-2018
  • Zhang K., P.J. Rasch, M. Taylor, H. Wan, L. Leung, P. Ma, and J. Golaz, et al. 2018. "Impact of numerical choices on water conservation in the E3SM Atmosphere Model Version 1 (EAM V1)." Geoscientific Model Development 11, no. 5:1971-1988. PNNL-SA-129738. doi:10.5194/gmd-2017-293

2017

  • Wan H., K. Zhang, P.J. Rasch, B. Singh, X. Chen, and J. Edwards. 2017. "A new and inexpensive non-bit-for-bit solution reproducibility test based on time step convergence (TSC1.0)." Geoscientific Model Development 10, no. 2:537-552. PNNL-SA-118076. doi:10.5194/gmd-10-537-2017

2016

  • Lin G., H. Wan, K. Zhang, Y. Qian, and S.J. Ghan. 2016. "Can nudging be used to quantify model sensitivities in precipitation and cloud forcing?." Journal of Advances in Modeling Earth Systems 8, no. 3:1073-1091. PNNL-SA-116402. doi:10.1002/2016MS000659
  • Zhang K., C. Zhao, H. Wan, Y. Qian, R.C. Easter, S.J. Ghan, and K. Sakaguchi, et al. 2016. "Quantifying the impact of sub-grid surface wind variability on sea salt and dust emissions in CAM5." Geoscientific Model Development 9, no. 2:607-632. PNNL-SA-111502. doi:10.5194/gmd-9-607-2016

2015

  • Wan H., P.J. Rasch, M. Taylor, and C. Jablonowski. 2015. "Short-term Time Step Convergence in a Climate Model." Journal of Advances in Modeling Earth Systems 7, no. 1:215-225. PNNL-SA-103971. doi:10.1002/2014MS000368
  • Xiao H., W.I. Gustafson, S.M. Hagos, C. Wu, and H. Wan. 2015. "Resolution-dependent behavior of subgrid-scale vertical transport in the Zhang-McFarlane convection parameterization." Journal of Advances in Modeling Earth Systems 7, no. 2:537-550. PNNL-SA-103534. doi:10.1002/2014MS000356

2014

  • Wan H., P.J. Rasch, K. Zhang, Y. Qian, H. Yan, and C. Zhao. 2014. "Short ensembles: An Efficient Method for Discerning Climate-relevant Sensitivities in Atmospheric General Circulation Models." Geoscientific Model Development 7, no. 5:1961-1977. PNNL-SA-101468. doi:10.5194/gmd-7-1961-2014
  • Zhang K., H. Wan, X. Liu, S.J. Ghan, G.J. Kooperman, P. Ma, and P.J. Rasch, et al. 2014. "Technical Note: On the Use of Nudging for Aerosol-Climate Model Intercomparison Studies." Atmospheric Chemistry and Physics 14, no. 16:8631-8645. PNNL-SA-101696. doi:10.5194/acp-14-8631-2014

2013

  • Wan H., M. Giorgetta, G. Zangl, M. Restelli, D. Majewski, L. Bonaventura, and K. Frohlich, et al. 2013. "The ICON-1.2 Hydrostatic Atmospheric Dynamical Core on Triangular Grids - Part 1: Formulation and Performance of the Baseline Version." Geoscientific Model Development 6, no. 3:735-763. PNNL-SA-92195. doi:10.5194/gmd-6-735-2013
  • Wan H., P.J. Rasch, K. Zhang, J. Kazil, and L.R. Leung. 2013. "Numerical Issues Associated with Compensating and Competing Processes in Climate Models: an Example from ECHAM-HAM." Geoscientific Model Development 6, no. 3:861-874. PNNL-SA-92938. doi:10.5194/gmd-6-861-2013

2012

  • Zhang K., D. O'Donnell, J. Kazil, P. Stier, S. Kinne, U. Lohmann, and S. Ferrachat, et al. 2012. "The global aerosol-climate model ECHAM-HAM, version 2: sensitivity to improvements in process representations." Atmospheric Chemistry and Physics 12, no. 19:8911-8949. PNWD-SA-9732. doi:10.5194/acp-12-8911-2012

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