ALL

SCI学术论文

2020年

1.Wang, Y., Xia, W., Liu, X., … & Zhang, G. J. (2020). Disproportionate Control on Aerosol Burden by Light Rain. Nature Geoscience.

2.Sun, W., Wang, B., Wang, Y.^* … Yang, M. (2020). Parameterizing Subgrid Variations of Land Surface Heat Fluxes to the Atmosphere Improves Boreal Summer Land Precipitation Simulation with the NCAR CESM1.2. Geophys. Res. Lett.

3.Han, Y., Zhang, G. J., Huang, X., & Wang, Y. (2020). A moist physics parameterization based on deep learning. Journal of Advances in Modeling Earth Systems, 12(9), e2020MS002076.

4.He, Y., Wang, B., Liu, L., Huang, W., Xu, S., Liu, J., Wang, Y., ... & Lin, Y. (2020). A DRP‐4DVar‐Based Coupled Data Assimilation System With a Simplified Off‐Line Localization Technique for Decadal Predictions. Journal of Advances in Modeling Earth Systems, 12(4), e2019MS001768.

5.He, Y., Wang, B., Huang, W., Xu, S., Wang, Y., Liu, L., Wang, Y., ... & Huang, X. (2020). A new DRP-4DVar-based coupled data assimilation system for decadal predictions using a fast online localization technique. Climate Dynamics, 1-19.

6.Jiang, Y., Yang, X. Q., Liu, X., Qian, Y., Zhang, K., Wang, M., Li F., Wang Y., & Lu, Z. (2020). Impacts of wildfire aerosols on global energy budget and climate: The role of climate feedbacks. Journal of Climate, 33(8), 3351-3366.

7.Lin, Y., Huang, X., Liang, Y., Qin, Y., Xu, S., Huang, W., Xu, F., Liu, L., Wang, Y. ... & Wang, L. (2020). Community Integrated Earth System Model (CIESM): Description and Evaluation. Journal of Advances in Modeling Earth Systems, 12(8), e2019MS002036.

2019年

8.Zhang, G. J., Song, X., & Wang, Y. (2019). The double ITCZ syndrome in GCMs: A coupled feedback problem among convection, clouds, atmospheric and ocean circulations. Atmospheric Research, 229, 255-268.

9.Zhang, M., Liu, X., Diao, M., D'Alessandro, J. J., Wang, Y., Wu, C., ... & Xie, S. (2019). Impacts of representing heterogeneous distribution of cloud liquid and ice on phase partitioning of Arctic mixed‐phase clouds with NCAR CAM5. Journal of Geophysical Research: Atmospheres, 124(23), 13071-13090.

2018年

10.Wang, Y., G. J. Zhang, and Y. Jiang, (2018). Linking Stochasticity of Convection to Large-Scale Vertical Velocity to Improve Indian Summer Monsoon Simulation in the NCAR CAM5. J. Climate, 31, 6985–7002.

11.Wang, Y., Zhang, D., Liu, X., & Wang, Z. (2018). Distinct contributions of ice nucleation, large-scale environment, and shallow cumulus detrainment to cloud phase partitioning with NCAR CAM5. Journal of Geophysical Research: Atmospheres, 123.

2017年

12.Wang, Y., Zhang, G. J., & He, Y.-J. (2017). Simulation of precipitation extremesusing a stochastic convective parameterization in the NCAR CAM5 under different resolutions. Journal of Geophysical Research: Atmospheres, 122.

13.Yujun He, Bin Wang, Mimi Liu, Li Liu, Yongqiang Yu, Juanjuan Liu, Ruizhe Li, Cheng Zhang, Shiming Xu, Wenyu Huang, Qun Liu, Yong Wang, Feifei Li (2017). Reduction of initial shock in decadal predictions using anew initialization strategy, Geophys. Res.Lett.,44, 8538–8547.

2016年

14.Wang, Y.^*, G. J. Zhang, and G. C. Craig (2016), Stochastic convective parameterization improves the simulation of tropical precipitation variability in the NCAR CAM5. Geophys. Res. Lett., 43, doi: 10.1002/2016GL069818.

15.Wang, Y., and G. J. Zhang (2016), Global Climate Impacts of Stochastic Deep Convection Parameterization in the NCAR CAM5, Journal of Advances in Modeling Earth Systems, 8, doi:10.1002/2016MS000756.

2015年

16.Luo, T., Wang, Z., Zhang, D., Liu, X., Wang, Y., and Yuan, R. (2015). Global dust distribution from improved thin dust layer detection using A‐train satellite lidar observations, Geophysical Research Letters.

2014年

17.Wang, Y., Liu, X., Hoose, C., and Wang, B.（2014）， Different contact angle distributions for heterogeneous ice nucleation in the Community Atmospheric Model version 5, Atmos. Chem. Phys., 14, 10411-10430, doi:10.5194/acp-14-10411-2014.

18.Wang, Y. and Liu, X.（2014）， Immersion freezing by natural dust based on a soccer ball model with the Community Atmospheric Model version 5: Climate effects, Environ. Res. Lett., 9, 124020, doi:10.1088/1748-9326/9/12/124020.

19.English, J. M., J. E. Kay, A. Gettelman, X. Liu, Y. Wang, Y. Zhang, and H. Chepfer (2014), Contributions of clouds, surface albedos, and mixed-phase ice nucleation schemes to Arctic radiation biases in CAM5, Journal of Climate, 27, 5174–5197.

20.Komurcu, M., T. Storelvmo, I. Tan, U. Lohmann, Y. Yun, J. E. Penner, Y. Wang, X. Liu, and T. Takemura (2014), Inter-comparison of the cloud water phase among global climate models, Journal of Geophysical Research, 119, doi:10.1002/2013JD021119.