Researcher, Data Assimilation Group
Nansen Environmental and Remote Sensing Center (NERSC)
Jahnebakken 3, 5007 Bergen, Norway
E-mail: yue.ying@nersc.no
Webpage: https://myying.github.io
ORCID: 0000-0001-9988-3488
| 2018 | Ph.D. Meteorology, Computational Science (minor), Pennsylvania State University |
| Dissertation: “Ensemble data assimilation for the analysis and prediction of multiscale tropical weather systems” | |
| Advisor: Dr. Fuqing Zhang | |
| 2012 | M.S. Meteorology, Peking University |
| Thesis: “Tropical cyclone structural changes in response to ambient moisture perturbations” | |
| Advisor: Dr. Qinghong Zhang | |
| 2009 | B.S. Atmospheric Sciences, Peking University |
Advancing data assimilation methodologies for multiscale dynamical systems
Dynamics and predictability of complex systems and identifying key physical processes
Improving the numerical simulation and prediction of complex dynamical systems
| 2020-present | Researcher | Data Assimilation group, NERSC |
| 2018-2020 | Postdoctoral Fellow | Advanced Study Program, NCAR |
| 2012-2018 | Graduate Research Assistant | Pennsylvania State University |
| 2009-2012 | Graduate Research Assistant | Peking University |
| 2021 | Guest Lecturer of Crash Course on Ensemble Data Assimilation | NERSC |
| 2018 | Lead Instructor of Data Assimilation (Meteo 597) | Pennsylvania State University |
| 2016-2017 | Guest Lecturer of Data Assimilation (Meteo 597) | Pennsylvania State University |
| 2011 | Teaching Assistant for Computer Algorithms and Data Structure | Peking University |
| 2011 | Guest Lecturer for Scientific Data Visualization | Peking University |
| 2009-2011 | Part-time High-Performance Computer system administrator for Dept. of Atmospheric and Oceanic Sciences | Peking University |
| 2018 | Al and Betty Blackadar Scholarship | Pennsylvania State University |
| 2018 | Best Student Presentation | 22nd AMS Conference on IOAS-AOLS |
| 2011 | DHC Software Co. Scholarship | Peking University |
| 2018-2020 | Advancing ensemble data assimilation through adaptive methodologies for state and parameter estimation of multiscale dynamical systems | Project leader | NCAR/Advanced Study Program |
Manuscript reviewer for Monthly Weather Review, Journal of Advances in Modeling Earth Systems, Quarterly Journal of the Royal Meteorological Society, Nonlinear Processes in Geophysics, Climate Dynamics, Geoscientific Model Development, and The Cryosphere.
| 2020-2022 | AMS annual meetings | IOAS-AOLS session convener | “Advances in ensemble-based data assimilation methodologies for highly nonlinear and large-dimensional systems” |
| 2022 | IAMES Annual Conference | Session co-convener | “Data assimilation and weather forecast” |
| Since 2021: | European Geosciences Union (EGU) |
| Since 2017: | Chi Epsilon Pi National Meteorology Honors Society |
| Since 2012: | American Meteorological Society (AMS) |
| Since 2018: | American Geophysical Union (AGU) |
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. doi:10.1175/MWR-D-22-0140.1.
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. doi:10.5194/tc-17-4223-2023.
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. doi:10.1029/2021JD036079.
Ying, Y., 2020: Assimilating observations with spatially correlated errors using a serial ensemble filter with a multiscale approach. Mon. Wea. Rev., 148, 3397-3412. doi:10.1175/MWR-D-19-0387.1.
Ying, Y., 2019: A multiscale alignment method for ensemble filtering with displacement errors. Mon. Wea. Rev., 147, 4553-4565. doi:10.1175/MWR-D-19-0170.1.
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. doi:10.1175/JAS-D-17-0245.1.
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. doi:10.1175/MWR-D-17-0336.1.
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. doi:10.1175/JAS-D-17-0157.1.
Ying, Y., and F. Zhang, 2015: An adaptive covariance relaxation method for ensemble data assimilation. Quart. J. Roy. Meteor. Soc., 141, 2898-2906. doi:10.1002/qj.2576.
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. doi:10.1175/JCLI-D-14-00294.1.
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. doi:10.1175/MWR-D-13-00004.1.
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. doi:10.5194/acpd-11-33465-2011.
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. doi:10.2151/jmsj.2012-512.
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. doi:10.2151/jmsj.2012-603.
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. doi:10.1175/2011JAMC2446.1.
Ying, Y., “Introducing NEDAS: a Light-weight and Scalable Python Solution for Ensemble Data Assimilation”, NCAR/CISL Seminar, Apr 30, 2024
Ying, Y., J. Anderson, and L. Bertino, “Improving vortex position accuracy with a new multiscale alignment ensemble filter”(poster), ISDA, Bologna, Italy, Oct 16, 2023
Ying, Y., “Assimilating observations of deformation to improve short-term ensemble forecasts of sea ice features”, EnKF Workshop, Norheimsund, May 2, 2023
Ying, Y., S. Leroux, A. Korosov, E. Olason, and P. Rampal, “Predictability of sea ice linear kinematic features evaluated from the neXtSIM ensemble forecasts”(poster), IICWG-DA-11, Oslo, Mar 21, 2023
Ying, Y., J. Anderson, and L. Bertino, “Improving vortex position accuracy with a new multiscale alignment ensemble filter”, ISDA-online, Non-Gaussian Data Assimilation, Jan 20, 2023
Ying, Y., “Multiscale alignment ensemble filtering technique and its application in geoscience”, EnKF Workshop, Balestrand, May 30, 2022 (invited)
Ying, Y., Y. Qiang Sun, and S. Wang, “Predictability of tropical waves and the MJO”, 35th Conf. on Hurricanes and Tropical Meteorology, Honoring Fuqing Zhang’s Contribution, May 10, 2022 (invited)
Ying, Y., “Correcting position errors in sea ice linear kinematic features: Application of a multiscale alignment data assimilation approach”, AI and Data Science for the Arctic Workshop, NTNU, Sep 29, 2021 (invited)
Ying, Y., “Reducing displacement errors in the analysis and prediction of Hurricane Patricia (2015) using a multiscale alignment data assimilation method”, 34th Conf. on Hurricanes and Tropical Meteorology, May 12, 2021
Ying, Y. and L. Bertino, “Assimilating sea ice deformation observations using a multiscale alignment ensemble data assimilation method”, EGU General Assembly, NP5.1, Apr 27, 2021
Ying, Y., “How to handle nonlinearity in multiscale problems: Pushing the frontier of data assimilation methodology”, Penn State Meteorology Colloquium, Mar 10, 2021
Weckwerth, T., G. S. Romine, Y. Ying, and D. D. Turner, “Observation impact study of wind and thermodynamic profiling data assimilation”, AMS Annual Meetings, 25th IOAS-AOLS, Jan 14, 2021
Ying, Y., J. Anderson, and L. Bertino, “Multiscale alignment method for ensemble filtering applied to hurricane and sea ice models”, AMS Annual Meetings, 25th IOAS-AOLS, Jan 13, 2021
Ying, Y., “A multiscale alignment method for ensemble data assimilation with displacement errors”, AMS Annual Meetings, 24th IOAS-AOLS, Jan 13, 2020
Ying, Y., “Developing data assimilation algorithms for the analysis and prediction of geophysical flows across many scales”, MMM Seminar Series, NCAR, Jun 6, 2019
Ying, Y., “Developing a scale-aware scheme for the ensemble filtering of geophysical flows”, Second ADAPT Symposium, Penn State, Dec 16, 2018
Ying, Y. and F. Zhang, “Potentials in improving predictability of multiscale tropical weather systems evaluated through ensemble assimilation of simulated satellite-based observations”, 33rd Conf. on Hurricanes and Tropical Meteorology, Apr 17, 2018
Ying, Y., F. Zhang and J. Anderson, “On the selection of localization radius in ensemble filtering for multiscale quasi-geostrophic dynamics”, AMS Annual Meetings, 22nd IOAS-AOLS, Jan 9, 2018
Ying, Y. and F. Zhang, “Practical and intrinsic predictability of multiscale weather and convectively coupled equatorial waves during the active phase of an MJO”(poster), AMS Annual Meetings, 6th AMS Symposium on the MJO, Jan 8, 2018
Ying, Y. and F. Zhang, “Intrinsic versus practical predictability of multi-scale weather and convectively-coupled tropical waves during the active phase of an MJO”, AMS Annual Meetings, 2nd Multiscale Atmospheric Predictability, Jan 25, 2017
Ying, Y. and F. Zhang, “Observing system design, observation impact and predictability for Madden-Julian Oscillation and tropical weather”, 7th EnKF Data Assimilation Workshop, May 27, 2016
Ying, Y., J. Poterjoy, and F. Zhang, “Comparison of hybrid four-dimensional data assimilation methods with and without an adjoint model for limited-area convection-permitting weather prediction: E4DVar vs. 4DEnVar”, 27th WAF/ 23rd NWP Conference, Jun 30, 2015
Sun, Y., Y. Ying, F. Zhang, S. Wang, and R. Johnson, “Equatorial 2-day waves and diurnal variations during DYNAMO: Observation vs. simulation”(poster), 19th AMS Conference on AOFD, Jun 20, 2013
Ying, Y. and Q. Zhang, “A model study on tropical cyclone structural changes in response to ambient moisture variations”, 30th AMS Conference on Hurricanes and Tropical Meteorology, Apr 18, 2012
Ying, Y., and Q. Zhang, “A model study on tropical cyclone motion and intensification in an asymmetric moisture field”, 8th ICMCS, Nagoya, Mar 8, 2011