Xiquan Dong
· ProfessorUniversity of Arizona · Geography and Environmental Studies
Active 1996–2026
Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.
About
Xiquan Dong is a Professor of Hydrology and Atmospheric Sciences, with additional expertise in Remote Sensing and Spatial Analysis. He received his Ph.D. in Meteorology from Pennsylvania State University in 1996 and subsequently worked at NASA Langley Research Center. Since 2002, he has been a faculty member at the University of North Dakota, where he manages a research group that has grown significantly over the years. His research focuses on developing advanced cloud retrieval techniques in ground-based remote sensing, validating satellite cloud retrievals using ground-based data, improving the simulation of clouds, radiation, and precipitation in GCM/WRF models and reanalyses, and investigating regional extreme weather events and their feedback processes. His work has been supported by various agencies including DOE, NASA, NOAA, and NSF, and has contributed to improving climate model simulations using satellite observations. In addition to his research, Professor Dong is actively involved in community service, serving as a member of the Global Energy Balance Working Group of the International Radiation Commission, co-chairing NASA's Energy and Water Cycle Study Working Group, and serving as an associate editor for the Journal of Geophysical Research – Atmospheres and as an editor for Advances in Atmospheric Sciences. He teaches courses in physical meteorology, atmospheric remote sensing, and physical climate for both graduate and undergraduate students.
Research topics
- Atmospheric sciences
- Environmental science
- Meteorology
- Physics
- Climatology
- Geology
- Astrophysics
- Geography
- Oceanography
Selected publications
Aerosol and Cloud Experiments in the Eastern North Atlantic (ACE-ENA)
Bulletin of the American Meteorological Society · 2021 · 142 citations
Abstract With their extensive coverage, marine low clouds greatly impact global climate. Presently, marine low clouds are poorly represented in global climate models, and the response of marine low clouds to changes in atmospheric greenhouse gases and aerosols remains the major source of uncertainty in climate simulations. The eastern North Atlantic (ENA) is a region of persistent but diverse subtropical marine boundary layer clouds, whose albedo and precipitation are highly susceptible to pertu…
Atmospheric chemistry and physics · 2020 · 82 citations
Abstract. Vertical profiles of aerosols are inadequately observed and poorly represented in climate models, contributing to the current large uncertainty associated with aerosol–cloud interactions. The US Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Aerosol and Cloud Experiments in the Eastern North Atlantic (ACE-ENA) aircraft field campaign near the Azores islands provided ample observations of vertical distributions of aerosol and cloud properties. Here we utilize the in…
Journal of Geophysical Research Atmospheres · 2020 · 71 citations
Abstract The profiles of marine boundary layer (MBL) cloud and drizzle microphysical properties are important for studying the cloud‐to‐rain conversion and growth processes in MBL clouds. However, it is challenging to simultaneously retrieve both cloud and drizzle microphysical properties within an MBL cloud layer using ground‐based observations. In this study, methods were developed to first decompose drizzle and cloud reflectivity in MBL clouds from Atmospheric Radiation Measurement cloud rada…
Atmospheric chemistry and physics · 2022 · 48 citations
Abstract. Over the eastern North Atlantic (ENA) ocean, a total of 20 non-precipitating single-layer marine boundary layer (MBL) stratus and stratocumulus cloud cases are selected to investigate the impacts of the environmental variables on the aerosol–cloud interaction (ACIr) using the ground-based measurements from the Department of Energy Atmospheric Radiation Measurement (ARM) facility at the ENA site during 2016–2018. The ACIr represents the relative change in cloud droplet effective radius…
Atmospheric chemistry and physics · 2020 · 41 citations
Abstract. The aerosol indirect effect on cloud microphysical and radiative properties is one of the largest uncertainties in climate simulations. In order to investigate the aerosol–cloud interactions, a total of 16 low-level stratus cloud cases under daytime coupled boundary-layer conditions are selected over the southern Great Plains (SGP) region of the United States. The physicochemical properties of aerosols and their impacts on cloud microphysical properties are examined using data collecte…
Recent grants
NSF · $395k · 2017–2021
NSF · $100k · 2007–2011
NSF · $416k · 2020–2024
Frequent coauthors
- 179 shared
Baike Xi
University of Arizona
- 45 shared
Peng Wu
Harbin Normal University
- 39 shared
Patrick Minnis
Northern Health and Social Care Trust
- 30 shared
Xiaojian Zheng
University of Arizona
- 29 shared
Yuan Wang
Stanford University
- 27 shared
Timothy Logan
Texas A&M University
- 27 shared
Aaron Kennedy
- 22 shared
Yi Deng
Education
- 1996
Ph.D, Meteorology
Pennsylvania State University
Awards & honors
- AAS Outstanding Editor Award for “Exceptional Contributions…
Similar researchers at University of Arizona
- Resume-aware match score
- Save to shortlist
- AI-drafted outreach
See your match with Xiquan Dong
PhdFit ranks faculty by your research interests, methods, and publications — grounded in their actual work, not templates.
- Free to start
- No credit card
- 30-second signup