Peer-Reviewed Publications
Chan, M.-Y. (under review): Improving Infrared Radiance Ensemble Data Assimilation through Mitigating Deleterious Non-Gaussian Artifacts. Submitted to the Quarterly Journal of the Royal Meteorological Society.
Chan, M.-Y. (2024): Improving Ensemble Data Assimilation with Probit-space Ensemble Size Expansion for Gaussian Copulas (PESE-GC). Nonlinear Processes in Geophysics. doi: 10.5194/npg-31-287-2024
Chan, M.-Y., Chen X. and Anderson J. L. (2023): The potential benefits of handling clear and cloudy ensemble members separately through an efficient bi-Gaussian EnKF. Journal of Advances in Modeling Earth Systems. doi: 10.1029/2022MS003357
Hartman, C. M., Chen X. and Chan M.-Y. (2022): Improving Tropical Cyclogenesis Forecasts of Hurricane Irma (2017) through the Assimilation of All-sky Infrared Brightness Temperatures. Monthly Weather Review. doi: 10.1175/MWR-D-22-0196.1.
Chan, M.-Y., Chen X. and Leung R. L. (2022): A high-resolution Tropical Mesoscale Convective System Reanalysis (TMeCSR). Journal of Advances in Modeling Earth Systems. doi: 10.1029/2021MS002948
Chan, M.-Y., and Chen X. (2021): Improving the Analyses and Forecasts of a Tropical Squall Line Using Upper Tropospheric Infrared Satellite Observations. Advances in Atmospheric Sciences. doi: 10.1007/s00376-021-0449-8.
Zhang, Y., Sieron S. B., Lu Y., Chen X., Nystrom R. G., Minamide M., Chan M.-Y., Hartman C. M., Yao Z., Ruppert J. H., Okazaki A., Greybush S. J., Clothiaux E. E. and Zhang F. (2021): Ensemble-Based Assimilation of Satellite All-Sky Microwave Radiances Improves Intensity and Rainfall Predictions for Hurricane Harvey (2017). Geophysical Research Letters. doi: 10.1029/2021GL096410.
Hartman, C. M., Chen X., Clothiaux E. E. and Chan M.-Y. (2021): Improving the Analysis and Forecast of Hurricane Dorian (2019) with Simultaneous Assimilation of GOES-16 All-Sky Infrared Brightness Temperatures and Tail Doppler Radar Radial Velocities. Monthly Weather Review. doi: 10.1175/MWR-D-20-0338.1.
He, J., Ma X., Ge X., Liu J., Cheng W., Chan M.-Y. and Xiao Z. (2021): Variational Quality Control of Non-Gaussian Innovations in the GRAPES m3DVAR System: Mass Field Evaluation of Assimilation Experiments. Advances in Atmospheric Sciences. doi: 10.1007/s00376-021-0336-3.
Chan, M.-Y., Anderson J. L. and Chen X. (2020): An Efficient Bi-Gaussian Ensemble Kalman Filter for Satellite Infrared Radiance Data Assimilation. Monthly Weather Review. doi: 10.1175/MWR-D-20-0142.1.
Chan, M.-Y., Zhang F., Chen X. and Leung R. L. (2020): Impacts of Assimilating All-sky Satellite Infrared Radiances on Convection-Permitting Analysis and Prediction of Tropical Convection. Monthly Weather Review. doi: 10.1175/MWR-D-19-0343.1.
Chan, M. Y., Lo, J. C. and Orton, T. (2018): The structure of tropical Sumatra squalls. Weather. doi: 10.1002/wea.3375.
Datasets and Software
Chan, M.-Y. (2023). Code for PESE-GC Lorenz 96 study [Software] (v1.0). Zenodo. https://doi.org/10.5281/zenodo.10126957
Chan, M.-Y., Chen X. and Anderson J. L. (2023): The potential benefits of handling clear and cloudy ensemble members separately through an efficient bi-Gaussian EnKF. Journal of Advances in Modeling Earth Systems. doi: 10.1029/2022MS003357
Hartman, C. M., Chen X. and Chan M.-Y. (2022): Improving Tropical Cyclogenesis Forecasts of Hurricane Irma (2017) through the Assimilation of All-sky Infrared Brightness Temperatures. Monthly Weather Review. doi: 10.1175/MWR-D-22-0196.1.
Chan, M.-Y., Chen X. and Leung R. L. (2022): A high-resolution Tropical Mesoscale Convective System Reanalysis (TMeCSR). Journal of Advances in Modeling Earth Systems. doi: 10.1029/2021MS002948
Chan, M.-Y., and Chen X. (2021): Improving the Analyses and Forecasts of a Tropical Squall Line Using Upper Tropospheric Infrared Satellite Observations. Advances in Atmospheric Sciences. doi: 10.1007/s00376-021-0449-8.
Zhang, Y., Sieron S. B., Lu Y., Chen X., Nystrom R. G., Minamide M., Chan M.-Y., Hartman C. M., Yao Z., Ruppert J. H., Okazaki A., Greybush S. J., Clothiaux E. E. and Zhang F. (2021): Ensemble-Based Assimilation of Satellite All-Sky Microwave Radiances Improves Intensity and Rainfall Predictions for Hurricane Harvey (2017). Geophysical Research Letters. doi: 10.1029/2021GL096410.
Hartman, C. M., Chen X., Clothiaux E. E. and Chan M.-Y. (2021): Improving the Analysis and Forecast of Hurricane Dorian (2019) with Simultaneous Assimilation of GOES-16 All-Sky Infrared Brightness Temperatures and Tail Doppler Radar Radial Velocities. Monthly Weather Review. doi: 10.1175/MWR-D-20-0338.1.
He, J., Ma X., Ge X., Liu J., Cheng W., Chan M.-Y. and Xiao Z. (2021): Variational Quality Control of Non-Gaussian Innovations in the GRAPES m3DVAR System: Mass Field Evaluation of Assimilation Experiments. Advances in Atmospheric Sciences. doi: 10.1007/s00376-021-0336-3.
Chan, M.-Y., Anderson J. L. and Chen X. (2020): An Efficient Bi-Gaussian Ensemble Kalman Filter for Satellite Infrared Radiance Data Assimilation. Monthly Weather Review. doi: 10.1175/MWR-D-20-0142.1.
Chan, M.-Y., Zhang F., Chen X. and Leung R. L. (2020): Impacts of Assimilating All-sky Satellite Infrared Radiances on Convection-Permitting Analysis and Prediction of Tropical Convection. Monthly Weather Review. doi: 10.1175/MWR-D-19-0343.1.
Chan, M. Y., Lo, J. C. and Orton, T. (2018): The structure of tropical Sumatra squalls. Weather. doi: 10.1002/wea.3375.