Ying, Y., S. Leroux, A. Korosov, E. Ólason, P. Rampal, :
Predictability of sea ice linear kinematic features estimated from neXtSIM ensemble forecasts.
in prep.
Ying, Y., :
Introducing NEDAS: a Light-weight and Scalable Python Solution for Ensemble Data Assimilation.
J. Adv. Model. Earth Sys., in review.
Kay, J., T. M. Weckwerth, D. D. Turner. G. Romine, and Y. Ying, :
Impact of assimilating thermodynamic and kinematic profiles on a convection initiation forecast.
Mon. Wea. Rev., in review.
Ying, Y., J. L. Anderson, and L. Bertino, 2023:
Improving vortex position accuracy with a new multiscale alignment ensemble filter.
Mon. Wea. Rev., 151, 1387-1405.
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Korosov, A., P. Rampal, Y. Ying, E. Ólason, and T. Williams, 2023:
Towards improving short-term sea ice predictability using deformation observations.
The Cryosphere, 17, 4223-4240.
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Tao, D., P. J. van Leeuwen, M. Bell, and Y. Ying, 2022:
Dynamics and predictability of tropical cyclone rapid intensification in ensemble simulations of Hurricane Patricia (2015).
J. Geophys. Res. Atmos., 127, e2021JD036079.
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Ying, Y., 2020:
Assimilating observations with spatially correlated errors using a serial ensemble filter with a multiscale approach.
Mon. Wea. Rev., 148, 3397-3412.
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Ying, Y., 2019:
A multiscale alignment method for ensemble filtering with displacement errors.
Mon. Wea. Rev., 147, 4553-4565.
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Ying, Y., and F. Zhang, 2018:
Potentials in improving predictability of multiscale tropical weather systems evaluated through ensemble assimilation of simulated satellite-based observations.
J. Atmos. Sci., 75, 1675-1698.
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Ying, Y., F. Zhang, and J. L. Anderson, 2018:
On the selection of localization radius in ensemble filtering for multiscale quasi-geostrophic dynamics.
Mon. Wea. Rev., 146, 543–560.
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Ying, Y., and F. Zhang, 2017:
Practical and intrinsic predictability of multi-scale weather and convectively-coupled equatorial waves during the active phase of an MJO.
J. Atmos. Sci., 74, 3771-3785.
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Ying, Y., and F. Zhang, 2015:
An adaptive covariance relaxation method for ensemble data assimilation.
Quart. J. Roy. Meteor. Soc., 141, 2898-2906.
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Wang, S., A. H. Sobel, F. Zhang, Y. Sun, Y. Ying, and L. Zhou, 2015:
Regional simulation of the October and November MJO events observed during the CINDY/DYNAMO field campaign at gray zone resolution.
J. Climate, 28, 2097-2119.
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Hu, H., Q. Zhang, B. Xie, Y. Ying, J. Zhang, and X. Wang, 2014:
Predictability of an advection fog event over North China. Part I: Sensitivity to initial condition differences.
Mon. Wea. Rev., 142, 1803-1822.
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Zhang, J., T. Zhu, Q. Zhang, C. Li, and H. Shu, Y. Ying, Z. Dai, X. Wang, 2012:
The impact of circulation patterns on regional transport pathways and air quality over Beijing and its surroundings.
Atmos. Chem. Phys., 12, 5031-5053.
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Ying, Y., and Q. Zhang, 2012:
A modeling study on tropical cyclone structural changes in response to ambient moisture variations.
J. Meteorol. Soc. Japan, 90, 755-770.
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Du, Y., Q. Zhang, Y. Ying, and Y. Yang, 2012:
Characteristics of low-level jets in Shanghai during the 2008-2009 warm seasons as inferred from wind profiler radar data.
J. Meteorol. Soc. Japan, 90, 891-903.
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Xie, B., Q. Zhang, and Y. Ying, 2011:
Trends in precipitable water and relative humidity in China: 1979-2005.
J. Applied Meteorol. Climatol., 50, 1985-1994.
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