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个人简介
The focus of my research is to better understand various processes that act upon and within the boundary layer (e.g., convective initiation, turbulent redistribution of water vapor, aerosol, and energy, land-atmosphere interactions, etc.) and ultimately to improve the representation of these processes within numerical weather prediction and climate models. Part of this work includes continuing to develop and mature different ground-based profiling technologies to measure the temperature, humidity, and turbulent structure of the boundary layer, and using these observations to gain insight into how well NWP models (such as the high-resolution rapid refresh model (HRRR) which is developed in GSL) are representing atmospheric processes and evolution. Improvement in these processes will not only enable better forecasts of impactful (severe) weather, but also greatly benefit the renewable energy community.
Research Interests
Boundary layer thermodynamic and dynamic structure, diurnal evolution, convection and convection initiation, and other processes
Characterizing land-atmosphere interactions, including turbulent interactions and the how the land surface affects cloud properties and vice versa, and improving the representation of these processes in models
Utilizing advanced thermodynamic and kinematic boundary layer profiling observations to evaluate and improve numerical weather prediction models
Passive and active remote sensing of boundary layer thermodynamic and dynamic structure
Life cycle of clouds with low liquid water path (< 100 g/m2) and their impact on the radiative energy budget of the surface and atmosphere, especially when influenced by aerosols
Evolution of microphysical cloud properties, including the remote sensing of these properties, and understanding microphysical processes at work in mixed-phase clouds
Longwave (infrared and microwave) radiative transfer model improvements: gas spectroscopy and cloud absorption/scattering properties
Machine learning (ML) applications, including using physics-based constraints in training, parameterization replacement in numerical weather prediction, and model verification using ML
Awards
2017 AGU Outstanding Reviewer
Professional Activities
Member, WMO Nowcasting and Mesoscale Research Working Group, 2017 – present
Member, DOE ARM Atmospheric Modeling Advisory Group, 2016 – present
Member, American Meteorological Society (AMS), 1998 – present
Member, American Geophysical Union, 2003 – present
Member, ACTRIS Data Center External Panel, 2015 – present
Member, Jülich Observatory for Cloud Evolution (JOYCE) advisory board, 2016 – present
Lead Editor, AMS Monograph “The Atmospheric Radiation Measurement Program: The First 20 Years”
Principal Investigator, DOE Atmospheric Radiation Measurement (ARM) Program and Atmospheric System Research (ASR) program, 2005 – present
Member, University of Hohenheim Lan-Atmosphere Feedback Observatory Advisory Board
Member, NASA Planetary Boundary Layer Survey Team
Fellow, University of Oklahoma Cooperative Institute for Mesoscale Meteorological Studies
Research Interests
Boundary layer thermodynamic and dynamic structure, diurnal evolution, convection and convection initiation, and other processes
Characterizing land-atmosphere interactions, including turbulent interactions and the how the land surface affects cloud properties and vice versa, and improving the representation of these processes in models
Utilizing advanced thermodynamic and kinematic boundary layer profiling observations to evaluate and improve numerical weather prediction models
Passive and active remote sensing of boundary layer thermodynamic and dynamic structure
Life cycle of clouds with low liquid water path (< 100 g/m2) and their impact on the radiative energy budget of the surface and atmosphere, especially when influenced by aerosols
Evolution of microphysical cloud properties, including the remote sensing of these properties, and understanding microphysical processes at work in mixed-phase clouds
Longwave (infrared and microwave) radiative transfer model improvements: gas spectroscopy and cloud absorption/scattering properties
Machine learning (ML) applications, including using physics-based constraints in training, parameterization replacement in numerical weather prediction, and model verification using ML
Awards
2017 AGU Outstanding Reviewer
Professional Activities
Member, WMO Nowcasting and Mesoscale Research Working Group, 2017 – present
Member, DOE ARM Atmospheric Modeling Advisory Group, 2016 – present
Member, American Meteorological Society (AMS), 1998 – present
Member, American Geophysical Union, 2003 – present
Member, ACTRIS Data Center External Panel, 2015 – present
Member, Jülich Observatory for Cloud Evolution (JOYCE) advisory board, 2016 – present
Lead Editor, AMS Monograph “The Atmospheric Radiation Measurement Program: The First 20 Years”
Principal Investigator, DOE Atmospheric Radiation Measurement (ARM) Program and Atmospheric System Research (ASR) program, 2005 – present
Member, University of Hohenheim Lan-Atmosphere Feedback Observatory Advisory Board
Member, NASA Planetary Boundary Layer Survey Team
Fellow, University of Oklahoma Cooperative Institute for Mesoscale Meteorological Studies
研究兴趣
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JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGYno. 1 (2024)
Tessa Rosenberger,David D. Turner,Thijs Heus, Girish N. Raghunathan,Timothy J. Wagner, Julia Simonson
crossref(2024)
ATMOSPHERIC MEASUREMENT TECHNIQUESno. 4 (2024): 1175-1196
Temple R. Lee, Sandip Pal,Ronald D. Leeper,Tim Wilson, Howard J. Diamond,Tilden P. Meyers,David D. Turner
WEATHER AND FORECASTINGno. 5 (2024): 781-791
crossref(2024)
WEATHER AND FORECASTINGno. 1 (2024): 3-17
Atmospheric Measurement Techniques (2024): 3933-3948
Journal of Operational Meteorologypp.40-53, (2024)
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作者统计
#Papers: 495
#Citation: 14873
H-Index: 61
G-Index: 100
Sociability: 8
Diversity: 2
Activity: 26
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