| Crossing multiple gray zones in the transition from mesoscale to microscale simulation over complex terrain FK Chow, C Schär, N Ban, KA Lundquist, L Schlemmer, X Shi Atmosphere 10 (5), 274, 2019 | 99 | 2019 |
| Large-scale character of an atmosphere in rotating radiative-convective equilibrium X Shi, CS Bretherton Journal of Advances in Modeling Earth Systems 6 (3), 616-629, 2014 | 48 | 2014 |
| Estimating the response of extreme precipitation over midlatitude mountains to global warming X Shi, DR Durran Journal of Climate 28 (10), 4246-4262, 2015 | 45 | 2015 |
| The response of orographic precipitation over idealized midlatitude mountains due to global increases in CO2 X Shi, DR Durran Journal of Climate 27 (11), 3938-3956, 2014 | 40 | 2014 |
| Sensitivities of extreme precipitation to global warming are lower over mountains than over oceans and plains X Shi, D Durran Journal of Climate 29 (13), 4779-4791, 2016 | 37 | 2016 |
| WISHE-moisture mode in an aquaplanet simulation X Shi, D Kim, ÁF Adames, J Sukhatme Journal of advances in modeling earth systems 10 (10), 2393-2407, 2018 | 30 | 2018 |
| Large-eddy simulation of the stratocumulus-capped boundary layer with explicit filtering and reconstruction turbulence modeling X Shi, HL Hagen, FK Chow, GH Bryan, RL Street Journal of the Atmospheric Sciences 75 (2), 611-637, 2018 | 27 | 2018 |
| Key elements of turbulence closures for simulating deep convection at kilometer‐scale resolution X Shi, FK Chow, RL Street, GH Bryan Journal of Advances in Modeling Earth Systems 11 (3), 818-838, 2019 | 24 | 2019 |
| Spatiotemporal variation in presummer precipitation over south China from 1979 to 2015 and its relationship with urbanization L Su, J Li, X Shi, JCH Fung Journal of Geophysical Research: Atmospheres 124 (13), 6737-6749, 2019 | 19 | 2019 |
| Enabling smart dynamical downscaling of extreme precipitation events with machine learning X Shi Geophysical Research Letters 47 (19), e2020GL090309, 2020 | 15 | 2020 |
| An evaluation of LES turbulence models for scalar mixing in the stratocumulus-capped boundary layer X Shi, FK Chow, RL Street, GH Bryan Journal of the Atmospheric Sciences 75 (5), 1499-1507, 2018 | 14 | 2018 |
| Deep learning augmented data assimilation: Reconstructing missing information with convolutional autoencoders Y Wang, X Shi, L Lei, JCH Fung Monthly Weather Review 150 (8), 1977-1991, 2022 | 9 | 2022 |
| Can a machine learning–enabled numerical model help extend effective forecast range through consistently trained subgrid-scale models? Y Qu, X Shi Artificial Intelligence for the Earth Systems 2 (1), e220050, 2023 | 7 | 2023 |
| Impacts of cumulus convection and turbulence parameterizations on the convection-permitting simulation of typhoon precipitation X Shi, Y Wang Monthly Weather Review 150 (11), 2977-2997, 2022 | 4 | 2022 |
| Modulation of the Bifurcation in Radiative‐Convective Equilibrium by Gray‐Zone Cloud and Turbulence Parameterizations X Shi, Y Fan Journal of Advances in Modeling Earth Systems 13 (10), e2021MS002632, 2021 | 4 | 2021 |
| An implicit algebraic turbulence closure scheme for atmospheric boundary layer simulation X Shi, RM Enriquez, RL Street, GH Bryan, FK Chow Journal of the Atmospheric Sciences 76 (11), 3367-3386, 2019 | 4 | 2019 |
| Sensitivity of the Short-Range Precipitation Forecast in South China Region to Sea Surface Temperature Variations DV Lestari, X Shi Atmosphere 12 (9), 1138, 2021 | 1 | 2021 |
| Evaluation of an Algebraic Turbulence Closure Scheme for the Simulations of Dry and Moist Atmospheric Boundary Layers. X Shi | 1 | 2018 |
| Simulation of Stratocumulus and Deep Convective Clouds with the Dynamic Reconstruction Turbulence Closure X Shi, FK Chow, RL Street, GH Bryan 17th Conference on Mesoscale Processes, 2017 | 1 | 2017 |
| Quantifying Global Warming Response of the Orographic Precipitation in a Typhoon Environment with Large-Eddy Simulations J Chen, X Shi Journal of Climate 36 (19), 6951-6966, 2023 | | 2023 |
Dale DurranProfessor of Atmospheric Sciences, University of WashingtonVerified email at uw.edu
