Observational constraints on warm cloud microphysical processes using machine learning and optimization techniques JC Chiu, CK Yang, PJ Van Leeuwen, G Feingold, R Wood, Y Blanchard, ... Geophysical Research Letters 48 (2), e2020GL091236, 2021 | 15 | 2021 |
Near‐cloud aerosol retrieval using machine learning techniques, and implied direct radiative effects CK Yang, JC Chiu, A Marshak, G Feingold, T Várnai, G Wen, ... Geophysical Research Letters 49 (20), e2022GL098274, 2022 | 2 | 2022 |
Machine learning emulation of 3D shortwave radiative transfer for shallow cumulus cloud fields CK Yang, JC Chiu, JJ Gristey, G Feingold, WI Gustafson Collective Madison Meeting, 2022 | 1 | 2022 |
Dataset associated with" Near-Cloud Aerosol Retrieval Using Machine Learning Techniques, and Implied Direct Radiative Effects" CK Yang, C Chiu, A Marshak, G Feingold, T Várnai, G Wen, T Yamaguchi, ... Colorado State University. Libraries, 2022 | 1 | 2022 |
Uncertainty Quantification for Deep Learning PJ van Leeuwen, JC Chiu, CK Yang EGU24, 2024 | | 2024 |
Three-Dimensional Radiative Transfer Emulation Using Machine Learning Techniques JYC Chiu, CK Yang 104th AMS Annual Meeting, 2024 | | 2024 |
Retrieving 3D Microphysical Properties of Marine Low Clouds Using Passive-Active Synergistic Satellite Observations JYC Chiu, PJ van Leeuwen, CK Yang 104th AMS Annual Meeting, 2024 | | 2024 |
Investigating the Near-cloud Aerosol Direct Radiative Effects Under Cloud Organizations of Sugar, Fish, Gravel, and Flowers CK Yang, JC Chiu EGU General Assembly Conference Abstracts, EGU-11022, 2023 | | 2023 |
Machine Learning Emulation of 3D Shortwave Radiative Transfer for Shallow Cumulus Cloud Fields JYC Chiu, CKK Yang, JJ Gristey, G Feingold, WI Gustafson EGU General Assembly Conference Abstracts, EGU-13771, 2023 | | 2023 |
Systematic Changes in Shallow Cumulus Cloud Field Evolution due to Shortwave 3D Radiative Feedbacks JJ Gristey, CK Yang, JC Chiu, G Feingold 103rd AMS Annual Meeting, 2023 | | 2023 |
Near-Cloud Aerosol Retrieval From Satellite Observations Using Machine Learning Techniques, and Implied Direct Radiative Effects CK Yang, JC Chiu, A Marshak, G Feingold, T Varnai, G Wen, ... Collective Madison Meeting, 2022 | | 2022 |
Machine-Learning-Based Aerosol Optical Depth Retrieval in the Vicinity of Clouds CK Yang, JC Chiu, A Marshak, G Feingold, T Varnai, G Wen, ... 102nd American Meteorological Society Annual Meeting, 2022 | | 2022 |
Retrieving 3D microphysical properties of shallow cumulus clouds from A-Train observations using an advanced particle flow approach and a radiative transfer emulator C Chiu, PJ van Leeuwen, CK Yang AGU Fall Meeting Abstracts 2021, A54D-01, 2021 | | 2021 |
Retrieving Aerosol Optical Depth In the Vicinity of Clouds Using Machine Learning Techniques CK Yang, C Chiu, A Marshak, G Feingold, T Varnai, G Wen, T Yamaguchi, ... AGU Fall Meeting Abstracts 2021, A41H-04, 2021 | | 2021 |
Near-Cloud Aerosol Retrieval and Three-Dimensional Radiative Transfer Using Machine Learning CK Yang Colorado State University, 2021 | | 2021 |