Dr. Chenxi Wang is an assistant research scientist of the University of Maryland. Dr. Wang received his BS (2005) and MS (2009) in Nanjing University, China. He received his Ph.D degree in department of atmospheric sciences from Texas A&M University in 2013, focusing on developing infrared and shortwave fast radiative transfer models and cloud retrievals.
- 2013 Ph.D. Texas A&M University, College Station, in Atmospheric Sciences
- 2009 M.S. Nanjing University, Nanjing, China, in Atmospheric Sciences
- 2005 B.S. Nanjing University, Nanjing, China, in Atmospheric Sciences
- Best Research Faculty Paper Award, Earth System Science Interdisciplinary Center, University of Maryland, 2017
- NASA Earth Science New (Early Career) Investigator, 2017
- Best Senior Author Publication Award, Earth Science Division, NASA Goddard Space Flight Center, 2019
03/01/2018
The Science of TERRA, AQUA, and SUOMI NPP (ROSES 2017),
NASA
Refinement of the MODIS cloud optical product in synergy with continued development of a full suite of EOS-SNPP cloud continuity algorithms + atmosphere discipline team leads.
;
Co-I
05/01/2018
NASA ROSES (2017) New Investigator Program in Earth Science.,
NASA
Developing an advanced algorithm to retrieve ice water path and cloud-top height for ice cloud using combined passive infrared and microwave observations.
;
PI
05/01/2019
CloudSat and CALIPSO Science Team Recompete (NNH18ZDA001N-CCST),
NASA
Reconstructing the Floating Snow Diurnal Cycle and Ice Production Rate from Passive Microwave Measurements Using CloudSat-CALIPSO as the Baseline.
;
Co-I
Refereed
Das, S., Y. Wang, J. Gong, et al. 2022. "A Comprehensive Machine Learning Study to Classify Precipitation Type over Land from Global Precipitation Measurement Microwave Imager (GPM-GMI) Measurements."
Remote Sensing,
14
(15):
3631
[10.3390/rs14153631]
Yuan, T., H. Song, R. Wood, et al. 2022. "Global reduction in ship-tracks from sulfur regulations for shipping fuel."
Science Advances,
8
(29):
[10.1126/sciadv.abn7988]
Zheng, J., Z. Zhang, A. Garnier, et al. 2021. "The thermal infrared optical depth of mineral dust retrieved from integrated CALIOP and IIR observations."
Remote Sensing of Environment,
270:
112841
[10.1016/j.rse.2021.112841]
Wang, T., D. L. Wu, J. Gong, and C. Wang. 2021. "Long‐term observations of upper‐tropospheric cloud ice from the MLS."
Journal of Geophysical Research: Atmospheres,
[10.1029/2020jd034058]
Zhou, Y., R. C. Levy, L. A. Remer, et al. 2020. "Dust Aerosol Retrieval Over the Oceans With the MODIS/VIIRS Dark‐Target Algorithm: 1. Dust Detection."
Earth and Space Science,
7
(10):
[10.1029/2020ea001221]
Wang, C., S. Platnick, K. Meyer, Z. Zhang, and Y. Zhou. 2020. "A machine-learning-based cloud detection and thermodynamic-phase classification algorithm using passive spectral observations."
Atmospheric Measurement Techniques,
13
(5):
2257-2277
[10.5194/amt-13-2257-2020]
Ding, J., P. Yang, M. D. King, et al. 2019. "A Fast Vector Radiative Transfer Model for the Atmosphere-Ocean Coupled System."
Journal of Quantitative Spectroscopy and Radiative Transfer,
239:
106667
[10.1016/j.jqsrt.2019.106667]
Wind, G. (., S. Platnick, K. Meyer, et al. 2019. "The CHIMAERA system for retrievals of cloud top, optical and microphysical properties from imaging sensors."
Computers & Geosciences,
134:
104345
[10.1016/j.cageo.2019.104345]
Xie, Y., M. Sengupta, and C. Wang. 2019. "A Fast All-sky Radiation Model for Solar applications with Narrowband Irradiances on Tilted surfaces (FARMS-NIT): Part II. The cloudy-sky model."
Solar Energy,
188:
799-812
[10.1016/j.solener.2019.06.058]
Yuan, T., C. Wang, H. Song, et al. 2019. "Automatically Finding Ship-tracks to Enable Large-scale Analysis of Aerosol-Cloud Interactions."
Geophysical Research Letters,
[10.1029/2019gl083441]
Wang, C., S. Platnick, T. Fauchez, et al. 2019. "An Assessment of the Impacts of Cloud Vertical Heterogeneity on Global Ice Cloud Data Records From Passive Satellite Retrievals."
Journal of Geophysical Research: Atmospheres,
[10.1029/2018jd029681]
Fauchez, T., S. Platnick, O. Sourdeval, et al. 2018. "Cirrus Horizontal Heterogeneity and 3-D Radiative Effects on Cloud Optical Property Retrievals From MODIS Near to Thermal Infrared Channels as a Function of Spatial Resolution."
Journal of Geophysical Research: Atmospheres,
123
(19):
11,141-11,153
[10.1029/2018jd028726]
Wang, C., S. Platnick, Z. Zhang, K. Meyer, and P. Yang. 2016. "Retrieval of ice cloud properties using an optimal estimation algorithm and MODIS infrared observations: 1. Forward model, error analysis, and information content."
J. Geophys. Res. Atmos.,
121
(10):
5809-5826
[10.1002/2015jd024526]
Holz, R. E., S. E. Platnick, K. G. Meyer, et al. 2016. "Resolving ice cloud optical thickness biases between CALIOP and MODIS using infrared retrievals."
Atmos. Chem. Phys.,
16
(8):
5075-5090
[10.5194/acp-16-5075-2016]
Wang, C., S. E. Platnick, Z. Zhang, et al. 2016. "Retrieval of ice cloud properties using an optimal estimation algorithm and MODIS infrared observations: 2. Retrieval evaluation."
J. Geophys. Res. Atmos.,
121:
[10.1002/2015jd024528]
Meyer, K. G., S. E. Platnick, G. T. Arnold, et al. 2016. "Cirrus cloud optical and microphysical property retrievals from eMAS during SEAC4RS using bi-spectral reflectance measurements within the 1.88 µm water vapor absorption band."
Atmospheric Measurement Techniques,
9
(4):
1743-1753
[10.5194/amt-9-1743-2016]
Kahn, B. H., M. M. Schreier, Q. Yue, et al. 2015. "Pixel-scale assessment and uncertainty analysis of AIRS and MODIS ice cloud optical thickness and effective radius."
J. Geophys. Res. Atmos.,
120
(22):
11,669-11,689
[10.1002/2015jd023950]
Wang, C., P. Yang, and X. Liu. 2015. "A High-Spectral-Resolution Radiative Transfer Model for Simulating Multilayered Clouds and Aerosols in the Infrared Spectral Region."
Journal of the Atmospheric Sciences,
72
(2):
926-942
[10.1175/jas-d-14-0046.1]
Liu, C., P. Yang, S. L. Nasiri, et al. 2015. "A fast Visible Infrared Imaging Radiometer Suite simulator for cloudy atmospheres."
J. Geophys. Res. Atmos.,
120
(1):
240-255
[10.1002/2014jd022443]
Baum, B. A., P. Yang, A. J. Heymsfield, et al. 2014. "Ice cloud single-scattering property models with the full phase matrix at wavelengths from 0.2 to 100µm."
Journal of Quantitative Spectroscopy and Radiative Transfer,
146:
123-139
[10.1016/j.jqsrt.2014.02.029]
Wang, C., P. Yang, A. Dessler, B. A. Baum, and Y. Hu. 2014. "Estimation of the cirrus cloud scattering phase function from satellite observations."
Journal of Quantitative Spectroscopy and Radiative Transfer,
138:
36-49
[10.1016/j.jqsrt.2014.02.001]
Wang, C., P. Yang, S. L. Nasiri, et al. 2013. "A fast radiative transfer model for visible through shortwave infrared spectral reflectances in clear and cloudy atmospheres."
Journal of Quantitative Spectroscopy and Radiative Transfer,
116:
122-131
[10.1016/j.jqsrt.2012.10.012]
Wang, C., P. Yang, S. Platnick, et al. 2013. "Retrieval of Ice Cloud Properties from AIRS and MODIS Observations Based on a Fast High-Spectral-Resolution Radiative Transfer Model."
Journal of Applied Meteorology and Climatology,
52
(3):
710-726
[10.1175/JAMC-D-12-020.1]
Wang, C., S. Ding, P. Yang, B. Baum, and A. E. Dessler. 2012. "A new approach to retrieving cirrus cloud height with a combination of MODIS 1.24‐ and 1.38‐ μ m channels."
Geophysical Research Letters,
39
(24):
2012GL053854
[10.1029/2012gl053854]
Wang, C., P. Yang, B. A. Baum, et al. 2011. "Retrieval of Ice Cloud Optical Thickness and Effective Particle Size Using a Fast Infrared Radiative Transfer Model."
Journal of Applied Meteorology and Climatology,
50
(11):
2283-2297
[10.1175/jamc-d-11-067.1]
Zhang, C., F. Yu, C. Wang, and J. Yang. 2011. "Three-dimensional extension of the unit-feature spatial classification method for cloud type."
Advances in Atmospheric Sciences,
28
(3):
601-611
[10.1007/s00376-010-9056-9]
Refereed
Das, S., Y. Wang, J. Gong, et al. 2022. "A Comprehensive Machine Learning Study to Classify Precipitation Type over Land from Global Precipitation Measurement Microwave Imager (GPM-GMI) Measurements."
Remote Sensing
14
(15):
3631
[10.3390/rs14153631]
Yuan, T., H. Song, R. Wood, et al. 2022. "Global reduction in ship-tracks from sulfur regulations for shipping fuel."
Science Advances
8
(29):
[10.1126/sciadv.abn7988]
Zheng, J., Z. Zhang, A. Garnier, et al. 2021. "The thermal infrared optical depth of mineral dust retrieved from integrated CALIOP and IIR observations."
Remote Sensing of Environment
270
112841
[10.1016/j.rse.2021.112841]
Wang, T., D. L. Wu, J. Gong, and C. Wang. 2021. "Long‐term observations of upper‐tropospheric cloud ice from the MLS."
Journal of Geophysical Research: Atmospheres
[10.1029/2020jd034058]
Zhou, Y., R. C. Levy, L. A. Remer, et al. 2020. "Dust Aerosol Retrieval Over the Oceans With the MODIS/VIIRS Dark‐Target Algorithm: 1. Dust Detection."
Earth and Space Science
7
(10):
[10.1029/2020ea001221]
Wang, C., S. Platnick, K. Meyer, Z. Zhang, and Y. Zhou. 2020. "A machine-learning-based cloud detection and thermodynamic-phase classification algorithm using passive spectral observations."
Atmospheric Measurement Techniques
13
(5):
2257-2277
[10.5194/amt-13-2257-2020]
Ding, J., P. Yang, M. D. King, et al. 2019. "A Fast Vector Radiative Transfer Model for the Atmosphere-Ocean Coupled System."
Journal of Quantitative Spectroscopy and Radiative Transfer
239
106667
[10.1016/j.jqsrt.2019.106667]
Wind, G. (., S. Platnick, K. Meyer, et al. 2019. "The CHIMAERA system for retrievals of cloud top, optical and microphysical properties from imaging sensors."
Computers & Geosciences
134
104345
[10.1016/j.cageo.2019.104345]
Xie, Y., M. Sengupta, and C. Wang. 2019. "A Fast All-sky Radiation Model for Solar applications with Narrowband Irradiances on Tilted surfaces (FARMS-NIT): Part II. The cloudy-sky model."
Solar Energy
188
799-812
[10.1016/j.solener.2019.06.058]
Yuan, T., C. Wang, H. Song, et al. 2019. "Automatically Finding Ship-tracks to Enable Large-scale Analysis of Aerosol-Cloud Interactions."
Geophysical Research Letters
[10.1029/2019gl083441]
Wang, C., S. Platnick, T. Fauchez, et al. 2019. "An Assessment of the Impacts of Cloud Vertical Heterogeneity on Global Ice Cloud Data Records From Passive Satellite Retrievals."
Journal of Geophysical Research: Atmospheres
[10.1029/2018jd029681]
Fauchez, T., S. Platnick, O. Sourdeval, et al. 2018. "Cirrus Horizontal Heterogeneity and 3-D Radiative Effects on Cloud Optical Property Retrievals From MODIS Near to Thermal Infrared Channels as a Function of Spatial Resolution."
Journal of Geophysical Research: Atmospheres
123
(19):
11,141-11,153
[10.1029/2018jd028726]
Wang, C., S. Platnick, Z. Zhang, K. Meyer, and P. Yang. 2016. "Retrieval of ice cloud properties using an optimal estimation algorithm and MODIS infrared observations: 1. Forward model, error analysis, and information content."
J. Geophys. Res. Atmos.
121
(10):
5809-5826
[10.1002/2015jd024526]
Holz, R. E., S. E. Platnick, K. G. Meyer, et al. 2016. "Resolving ice cloud optical thickness biases between CALIOP and MODIS using infrared retrievals."
Atmos. Chem. Phys.
16
(8):
5075-5090
[10.5194/acp-16-5075-2016]
Wang, C., S. E. Platnick, Z. Zhang, et al. 2016. "Retrieval of ice cloud properties using an optimal estimation algorithm and MODIS infrared observations: 2. Retrieval evaluation."
J. Geophys. Res. Atmos.
121
[10.1002/2015jd024528]
Meyer, K. G., S. E. Platnick, G. T. Arnold, et al. 2016. "Cirrus cloud optical and microphysical property retrievals from eMAS during SEAC4RS using bi-spectral reflectance measurements within the 1.88 µm water vapor absorption band."
Atmospheric Measurement Techniques
9
(4):
1743-1753
[10.5194/amt-9-1743-2016]
Kahn, B. H., M. M. Schreier, Q. Yue, et al. 2015. "Pixel-scale assessment and uncertainty analysis of AIRS and MODIS ice cloud optical thickness and effective radius."
J. Geophys. Res. Atmos.
120
(22):
11,669-11,689
[10.1002/2015jd023950]
Wang, C., P. Yang, and X. Liu. 2015. "A High-Spectral-Resolution Radiative Transfer Model for Simulating Multilayered Clouds and Aerosols in the Infrared Spectral Region."
Journal of the Atmospheric Sciences
72
(2):
926-942
[10.1175/jas-d-14-0046.1]
Liu, C., P. Yang, S. L. Nasiri, et al. 2015. "A fast Visible Infrared Imaging Radiometer Suite simulator for cloudy atmospheres."
J. Geophys. Res. Atmos.
120
(1):
240-255
[10.1002/2014jd022443]
Baum, B. A., P. Yang, A. J. Heymsfield, et al. 2014. "Ice cloud single-scattering property models with the full phase matrix at wavelengths from 0.2 to 100µm."
Journal of Quantitative Spectroscopy and Radiative Transfer
146
123-139
[10.1016/j.jqsrt.2014.02.029]
Wang, C., P. Yang, A. Dessler, B. A. Baum, and Y. Hu. 2014. "Estimation of the cirrus cloud scattering phase function from satellite observations."
Journal of Quantitative Spectroscopy and Radiative Transfer
138
36-49
[10.1016/j.jqsrt.2014.02.001]
Wang, C., P. Yang, S. L. Nasiri, et al. 2013. "A fast radiative transfer model for visible through shortwave infrared spectral reflectances in clear and cloudy atmospheres."
Journal of Quantitative Spectroscopy and Radiative Transfer
116
122-131
[10.1016/j.jqsrt.2012.10.012]
Wang, C., P. Yang, S. Platnick, et al. 2013. "Retrieval of Ice Cloud Properties from AIRS and MODIS Observations Based on a Fast High-Spectral-Resolution Radiative Transfer Model."
Journal of Applied Meteorology and Climatology
52
(3):
710-726
[10.1175/JAMC-D-12-020.1]
Wang, C., S. Ding, P. Yang, B. Baum, and A. E. Dessler. 2012. "A new approach to retrieving cirrus cloud height with a combination of MODIS 1.24‐ and 1.38‐ μ m channels."
Geophysical Research Letters
39
(24):
2012GL053854
[10.1029/2012gl053854]
Wang, C., P. Yang, B. A. Baum, et al. 2011. "Retrieval of Ice Cloud Optical Thickness and Effective Particle Size Using a Fast Infrared Radiative Transfer Model."
Journal of Applied Meteorology and Climatology
50
(11):
2283-2297
[10.1175/jamc-d-11-067.1]
Zhang, C., F. Yu, C. Wang, and J. Yang. 2011. "Three-dimensional extension of the unit-feature spatial classification method for cloud type."
Advances in Atmospheric Sciences
28
(3):
601-611
[10.1007/s00376-010-9056-9]
