Liu, P., Reed, K. A., Garner, S. T., Zhao, M., & Zhu, Y. (2022). Blocking Simulations in GFDL GCMs for CMIP5 and CMIP6. Journal of Climate, 1-53.
Liu, P., Reed, K. A., Garner, S. T., Zhao, M., & Zhu, Y. (2022). Blocking Simulations in GFDL GCMs for CMIP5 and CMIP6. Journal of Climate, 1-53.Liu, P. Climatologies of blocking highs detected by a unified Eddy-ABS approach. Clim Dyn (2019). https://doi.org/10.1007/s00382-019-05053-z
Liu, P. Climatologies of blocking highs detected by a unified Eddy-ABS approach. Clim Dyn (2019). https://doi.org/10.1007/s00382-019-05053-zHu, W., Liu, P., Zhang, Q., & He, B. (2019). Dominant patterns of winter-time intraseasonal surface air temperature over the CONUS in response to MJO convections. Climate Dynamics, 1-20.
Hu, W., Liu, P., Zhang, Q., & He, B. (2019). Dominant patterns of winter-time intraseasonal surface air temperature over the CONUS in response to MJO convections. Climate Dynamics, 1-20.He, B., Liu, P., Zhu, Y., & Hu, W. (2018). Prediction and predictability of Northern Hemisphere persistent maxima of 500-hPa geopotential height eddies in the GEFS. Climate Dynamics, 1-17.
He, B., Liu, P., Zhu, Y., & Hu, W. (2018). Prediction and predictability of Northern Hemisphere persistent maxima of 500-hPa geopotential height eddies in the GEFS. Climate Dynamics, 1-17.Liu, P. (2018). MJO evolution and predictability disclosed by the RMM variant with balanced MJO variance in convection and zonal winds. Climate Dynamics, 1-15.
Liu, P. (2018). MJO evolution and predictability disclosed by the RMM variant with balanced MJO variance in convection and zonal winds. Climate Dynamics, 1-15.Liu, P., Zhu, Y., Zhang, Q., Gottschalck, J., Zhang, M., Melhauser, C., Li, W., Guan, H., Zhou, X., Hou, D. and Peña, M., (2017). Climatology of tracked persistent maxima of 500-hPa geopotential height. Climate Dynamics, pp.1-17.
Liu, P., Zhu, Y., Zhang, Q., Gottschalck, J., Zhang, M., Melhauser, C., Li, W., Guan, H., Zhou, X., Hou, D. and Peña, M., (2017). Climatology of tracked persistent maxima of 500-hPa geopotential height. Climate Dynamics, pp.1-17.Liu, P., Zhang, Q., Zhang, C., Zhu, Y., Khairoutdinov, M., Kim, H. M., … & Zhang, M. (2016). A Revised Real-Time Multivariate MJO Index. Monthly Weather Review, 144 (2):627-642; 10.1175/MWR-D-15-0237.1 FEB 2016
Liu, P., Zhang, Q., Zhang, C., Zhu, Y., Khairoutdinov, M., Kim, H. M., … & Zhang, M. (2016). A Revised Real-Time Multivariate MJO Index. Monthly Weather Review, 144 (2):627-642; 10.1175/MWR-D-15-0237.1 FEB 2016Liu, P., Zhang, Q., Zhang, C., Zhu, Y., Khairoutdinov, M., Kim, H. M., … & Zhang, M. (2015). A Revised Real-Time Multivariate MJO Index. Monthly Weather Review, (2015).
Liu, P., Zhang, Q., Zhang, C., Zhu, Y., Khairoutdinov, M., Kim, H. M., … & Zhang, M. (2015). A Revised Real-Time Multivariate MJO Index. Monthly Weather Review, (2015).Feng, J., Liu, P., Chen, W., & Wang, X. (2014). Contrasting Madden–Julian Oscillation activity during various stages of EP and CP El Niños. Atmospheric Science Letters.
Feng, J., Liu, P., Chen, W., & Wang, X. (2014). Contrasting Madden–Julian Oscillation activity during various stages of EP and CP El Niños. Atmospheric Science Letters.Liu, P. (2014). MJO structure associated with the higher-order CEOF modes. Climate Dynamics, 1-12.
Liu, P. (2014). MJO structure associated with the higher-order CEOF modes. Climate Dynamics, 1-12.Subscribe by Email
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