
Xiquan Dong
- Professor, Hydrology / Atmospheric Sciences
- Professor, Remote Sensing / Spatial Analysis - GIDP
- Member of the Graduate Faculty
- (520) 621-4652
- John W. Harshbarger Building, Rm. 234D
- Tucson, AZ 85721
- xdong@arizona.edu
Biography
Professor Dong received his Ph. D. in Meteorology from Pennsylvania State University in 1996, and then worked at NASA Langley research center. Professor Dong has been working at University of North Dakota since 2002, managing his research group and growing it from two people in 2002 to more than 15 in 2015. His research can be briefly summarized in the following four areas: (1) developing the cutting-edge cloud retrieval techniques in ground-based remote sensing, 2) developing innovative methods to validate satellite cloud retrievals using ground-based results, (3) improving GCM/WRF and reanalyses simulated cloud, radiation and precipitation using surface-satellite data, and (4) investigating regional extreme events and associated feedback processes. These research efforts have been supported by DOE ARM/ASR, CESM, CMDV, EAGLE; NASA CERES, Libera, MAP, NEWS, CAN and ESS; NOAA GOES-R, MAAP and R2O; and NSF. Our group’s research related to improve CMIP5 simulations using NASA observations has been cited by NASA program managers as a good example for NASA to support University’s research. For community service, Professor Dong is a member of the Global Energy Balance Working Group of the International Radiation Commission and co-chaired the NASA Energy and Water Cycle Study Drought and Flood Extreme Working Group. He serves as an Associate Editor for the JGR–Atmospheres and Editor of the journal Advances in Atmospheric Sciences. Professor Dong also chaired or co-chaired a lot of conferences and workshops, for example, his section was one of the largest sections in AOGS2014 and AOGS2016.
Degrees
- Ph.D. Atmospheric Sciences
- Penn State University, State College, Pennsylvania, United States
- Microphyscial and radiative properties of stratiform clouds deduced from ground-based measurements
Awards
- AAS Outstanding Editor Award for “Exceptional Contributions to Advances in Atmospheric Sci”
- Spring 2022
Interests
Teaching
Physical meteorology I and II, Atmospheric remote sensing, and Physical Climate for both graduate and undergraduate students.
Research
1) Ground-based and satellite remote sensing of aerosol, clouds, radiation and precipitation, as well as their interactions. 2) Validation of Satellite cloud retrievals3) Evaluation of GCM/WRF and Reanalyses 4) Investigation of the impact of Arctic clouds and radiation and longe-scale water vapor transport on Sea-ice changes.
Courses
2023-24 Courses
-
Physical Meteorology I
ATMO 451A (Fall 2023) -
Physical Meteorology I
ATMO 551A (Fall 2023)
2022-23 Courses
-
Dissertation
ATMO 920 (Spring 2023) -
Research
ATMO 900 (Spring 2023) -
Dissertation
ATMO 920 (Fall 2022) -
Physical Meteorology I
ATMO 451A (Fall 2022) -
Physical Meteorology I
ATMO 551A (Fall 2022) -
Research
ATMO 900 (Fall 2022)
2021-22 Courses
-
Dissertation
ATMO 920 (Spring 2022) -
Physical Climatology
ATMO 421 (Spring 2022) -
Physical Climatology
ATMO 521 (Spring 2022) -
Dissertation
ATMO 920 (Fall 2021) -
Physical Meteorology I
ATMO 451A (Fall 2021) -
Physical Meteorology I
ATMO 551A (Fall 2021)
2020-21 Courses
-
Dissertation
ATMO 920 (Spring 2021) -
Physical Meterology II
ATMO 551B (Spring 2021) -
Research
ATMO 900 (Spring 2021) -
Dissertation
ATMO 920 (Fall 2020) -
Physical Meteorology I
ATMO 451A (Fall 2020) -
Physical Meteorology I
ATMO 551A (Fall 2020)
2019-20 Courses
-
Dissertation
ATMO 920 (Spring 2020) -
Physical Climatology
ATMO 421 (Spring 2020) -
Physical Climatology
ATMO 521 (Spring 2020) -
Research
ATMO 900 (Spring 2020) -
Atmo Radiation+Rem Sens
ATMO 656A (Fall 2019) -
Atmo Radiation+Rem Sens
OPTI 656A (Fall 2019) -
Dissertation
ATMO 920 (Fall 2019) -
Research
ATMO 900 (Fall 2019)
2018-19 Courses
-
Dissertation
ATMO 920 (Spring 2019) -
Physical Meterology II
ATMO 551B (Spring 2019) -
Research
ATMO 900 (Spring 2019) -
Dissertation
ATMO 920 (Fall 2018) -
Independent Study
ATMO 599 (Fall 2018) -
Research
ATMO 900 (Fall 2018)
2017-18 Courses
-
Dissertation
ATMO 920 (Spring 2018) -
Physical Meterology II
ATMO 551B (Spring 2018) -
Dissertation
ATMO 920 (Fall 2017) -
Intro Weather+Climate
ATMO 170A1 (Fall 2017) -
Research
ATMO 900 (Fall 2017)
2016-17 Courses
-
Atmo Radiation+Rem Sens
ATMO 656B (Spring 2017) -
Dissertation
ATMO 920 (Spring 2017)
Scholarly Contributions
Journals/Publications
- Dong, X. (2021). Brendecke, J., X. Dong, B. Xi, and P. Wu, 2021a: Cloud and Drizzle Microphysical Properties Retrieved from Ship-Based Observations during MAGIC.. Earth and Space Science. DOI: 10.1029/2020EA001588.
- Dong, X. (2021). Clark, R. T., X. Q. Dong, C.-H. Ho, J. H. Sun, H. L. Yuan, and T. Takemi, 2021: Preface to the Special Issue on Summer 2020: Record Rainfall in Asia — Mechanisms, Predictability and Impacts.. Adv. Atmos. Sci., 38(12), 1977−1979, https://doi.org/10.1007/s00376-021-1010-5..
- Dong, X. (2021). Cui, C., X. Dong, B. Wang, B. Xi, Y. Deng, and Y. Ding, 2021: Integrative Monsoon Frontal Rainfall Experiment (IMFRE-1): A Mid-Term Review. Adv. In Atmos. Sci. 38 (3), 357-374. doi:10.1007/s00376-020-0209-1.. Adv. In Atmos. Sci. 38 (3), 357-374. doi:10.1007/s00376-020-0209-1..
- Dong, X. (2021). Cui, C., X. Dong, B. Wang, and H. Yang, 2020: The Phase Two of the Integrative Monsoon Frontal Rainfall Experiment (IMFRE-Ⅱ) in the Middle and Lower Reaches of the Yangtze River in 2020.. Adv. In Atmos. Sci.. doi:doi: 10.1007/s00376-020-0262-9
- Dong, X. (2021). Cui, C., X. Dong, B. Wang, and H. Yang: The Phase Two of the Integrative Monsoon Frontal Rainfall Experiment (IMFRE-Ⅱ) in the Middle and Lower Reaches of the Yangtze River in 2020. Adv. In Atmos. Sci. 38 (3), 357-374. doi: 10.1007/s00376-020-0209-1..
- Dong, X. (2021). Cui, W., X. Dong, B. Xi and Z Feng, 2021: Climatology of Linear Mesoscale Convective System Morphology in the United States based on Random Forests Method.. J. Clim. DOI: 10.1175/JCLI-D- 20-0862.1.
- Dong, X. (2021). Dong, X., Wu, P., Wang, Y., Xi, B., & Huang, Y. (2021). New observational constraints on warm rain processes and their climate implications. Geophysical Research Letters, 48, e2020GL091836. https://doi.org/10.1029/2020GL091836..
- Dong, X. (2021). Hu. Y., Y. Deng, Y. Lin, Z. Zhou, C. Cui and X. Dong, 2021: Dynamics of the Spatiotemporal Morphology of Mei-yu Fronts: An Initial Survey. Climate Dynamics, DOI: 10.1007/s00382-020-05619-2.
- Dong, X. (2021). Huang*, Y., X. Dong, J. Kay, B. Xi, and E.A. McIlhattan, 2021: The Climate response to increased Cloud Liquid Water in CESM1: A sensitivity study of Wegener-Bergeron-Findeisen Process.. Climate Dynamics, DOI: 10.1007/s00382-021-05648-5. CLDY-D-20-00372R3..
- Dong, X. (2021). Huang, Y., Q. Ding, X. Dong, and B. Xi, 2021; The summertime low clouds: bridging large-scale circulation and sea ice variations over the Arctic.. Communications Earth & Environment. https://doi.org/10.1038/s43247-021-00114-w。.
- Dong, X. (2021). Luo, R. Q. Ding, Z. Wu, I. Baxer, M. Bushuk, E. Blanchard-Wrigglesworth, Y. Huang, and X. Dong, 2021: Summertime atmosphere-sea ice coupling in the Arctic simulated by CMIP5/6 models: Importance of large-scale circulation and low-level clouds. Clim. Dyn., 56: 1467-1485..
- Dong, X. (2021). Marcovecchio, A., A. Behrangi, X. Dong, B. Xi and Y. Huang, 2021: Precipitation Influence on and Response to Early and Late Arctic Sea Ice Melt Onset During Melt Season. International Journal of Climate, DOI: 10.1002/joc.7233..
- Dong, X. (2021). McHardy, T.M., J.R. Campbell, …X. Dong, 2021; Detecting Transparent Cirrus Clouds Over Ocean Using the GOES-16 ABI 1.378 µm Channel. 38, 1093-1109.. J. Atmos. and Oceanic Tech. DOI: 10.1175/JTECH-D-20-0130.1.
- Dong, X. (2021). Zhang, H., X. Dong, Z. Xin, B. Xi, Q. Liu, H. He, X. Xie, L. Li, and S. Yu, 2021: Retrieving high resolution photosynthetically active radiation from GOES-R ABI data.. Remote Sensing of Environment. 260 (2021), 112436..
- Dong, X. (2021). Zheng, X., B. Xi, X. Dong, P. Wu, T. Logan and Y. Wang, 2021: Environmental Effects on Aerosol-Cloud Interaction in non-precipitating MBL clouds over the Eastern North Atlantic. ACP. https://doi.org/10.5194/acp-2021-391.
- Dong, X., & Xi, B. (2021). Huang*, Y., X. Dong, J. Kay, B. Xi, and E.A. McIlhattan, 2021: The Climate response to increased Cloud Liquid Water in CESM1: A sensitivity study of Wegener-Bergeron-Findeisen Process.. Climate Dynamics. doi:DOI: 10.1007/s00382-021-05648-5
- Dong, X., Wu, P., Wang, Y., Xi, B., & Huang, Y. (2021). Observational constraints on warm rain processes in climate models using new ground-based retrievals. GRL.
- Cui, C., Cui, C., Dong, X., Dong, X., Wang, B., Wang, B., Xi, B., Xi, B., Deng, Y., Deng, Y., Ding, Y., & Ding, Y. (2020). Integrative Monsoon Frontal Rainfall Experiment (IMFRE-1): A Mid-Term Review. Adv. in Atmospheric Science. doi:10.1007/s00376-020-0209-1
- Dong, X. (2020). Cui, C., X. Dong, B. Wang, and H. Yang, 2020: The Phase Two of the Integrative Monsoon Frontal Rainfall Experiment (IMFRE-Ⅱ) in the Middle and Lower Reaches of the Yangtze River in 2020. Adv. In Atmos. Sci. doi:doi: 10.1007/s00376-020-0262-9
- Dong, X. (2020). Facilitating International Collaboration on Climate Change Research. BAMS.
- Dong, X. (2020). Li, C., Deng, Y., Cui, C., Wang, X., Dong, X., & Jiang, X. (2020). Hydrometeor budget of the Meiyu frontal rainstorms associated with two different atmospheric circulation patterns. JGR.
- Dong, X. (2020). Li, Z., Y. Wang, J. Guo, M. Cribb, X. Dong et al., 2020: East Asian Study of Tropospheric Aerosols and Impact on Regional Cloud, Precipitation, and Climate (EAST-AIRCPC). JGR, 124, 2019JD030758.. JGR. doi:https://doi.org/10.1029/2019JD030758
- Dong, X. (2020). Sun, Y., X. Dong, W. Cui, Z. Zhou, Z. Fu, L. Zhou, Y. Deng, C. Cui, 2020: Vertical Structures of Typical Meiyu Precipitation Characteristics Retrieved from GPM-DPR. JGR. doi:https://doi.org/10.1029/2019JD031466
- Dong, X. (2020). Yang, J., Li, J., Li, P., Sun, G., Cai, Z., Dong, X., et al. (2020). Spatial distribution and impacts of aerosols on clouds under Meiyu frontal weather background over central China based on aircraft observations.. JGR.
- Dong, X. (2020). Zhang, Z., Q. Song, D. Mechem, V. Larson, J. Wang, Y. Liu, M. Witte, X. Dong, and P. Wu, 2020; Vertical Dependence of Horizontal Variation of Cloud Microphysics: Observations from the ACE- ENA field campaign and implications for warm rain simulation in climate models.. ACP.
- Dong, X., & Xi, B. (2020). Fu, Z., X. Dong, L. Zhou, J. Wang, W. Cui, R. Wan, L. Leng and B. Xi, 2020: Statistical Characteristics of the Raindrop Size Distributions in Central China During Meiyu Season. JGR. doi:https://doi.org/ 10.1029/2019JD031954
- Dong, X., & Xi, B. (2020). Huang*, Y., X. Dong, J. Kay, B. Xi, and E.A. McIlhattan, 2021: The Climate response to increased Cloud Liquid Water in CESM1: A sensitivity study of Wegener-Bergeron-Findeisen Process.. Climate Dynamics. doi:DOI: 10.1007/s00382-021-05648-5.
- Dong, X., & Xi, B. (2020). Integrative Monsoon Frontal Rainfall Experiment (IMFRE-1): A Mid-Term Review.. Adv. In Atmos. Sci. doi:doi: 10.1007/s00376-020-0209-1.
- Dong, X., & Xi, B. (2020). Logan, T., X. Dong, B. Xi, X. Zheng, Y. Wang, P. Wu. E. Marlow and J. Maddux, 2020: Quantifying Long‐Term Seasonal and Regional Impacts of North American Fire Activity on Continental Boundary Layer Aerosols and Cloud Condensation Nuclei.. Earth and Space Science. doi:https://doi.org/10.1029/2020EA001113.
- Dong, X., & Xi, B. (2020). Quantifying Long‐Term Seasonal and Regional Impacts of North American Fire Activity on Continental Boundary Layer Aerosols and Cloud Condensation Nuclei.. Earth and Space Science. doi:https://doi.org/10.1029/2020EA001113.
- Dong, X., & Xi, B. (2020). Statistical Characteristics of the Raindrop Size Distributions in Central China During Meiyu Season. JGR. doi:https://doi.org/ 10.1029/2019JD031954
- Wu, P., Wu, P., Dong, X., Dong, X., Xi, B., & Xi, B. (2020). A Climatology of Marine Boundary Layer Cloud and Drizzle Properties Derived From Ground-Based Observations over the Azores. Journal of Climate. doi:10.1175/JCLI-D-20-0272.1
- Xi, B., Kay, J., Dong, X., & Huang, Y. (2020). The Climate response to increased Cloud Liquid Water in CESM1: A sensitivity study of Wegener-Bergeron-Findeisen Process.. Climate Dynamics. doi:DOI: 10.1007/s00382-021-05648-5.
- Zheng, X., Xi, B., Dong, X., Logan, T., Wang, Y., & Wu, P. (2020). Investigation of aerosol cloud Interactions under different absorptive aerosol regimes using ARM SGP ground-based measurements.. ACP. doi:https://doi.org/10.5194/acp-2019-478.
- Dong, X. (2019). A Record of Global Single-layered Ice Cloud Properties and Associated Radiative Heating Rate Profiles from an A-Train Perspective.. Climate DYNAMIC. doi:DOI: 10.1007/s00382-019-04682-8
- Dong, X. (2019). A Regime Based Evaluation of Southern and Northern Great Plains Warm Season Precipitation Events in WRF. Wea. Forecasting, 34, 805-834. doi:DOI: 10.1175/WAF-D-19-0025.1.
- Dong, X. (2019). A Synoptic-View-Based Assessment of the Summer Extreme Rainfall over the Middle Reaches of Yangtze River in CMIP5 Models. Clim. Dyn. doi:https://doi.org/10.1007/s00382-019-04803-3.
- Dong, X. (2019). Can the GPM IMERG product accurately represent MCSs’ precipitation characteristics over the CONUS?. Atmos. Chem. Phys. doi:https://doi.org/10.5194/acp-2019-478.
- Dong, X. (2019). Characteristics of Ice Cloud-Precipitation of Warm Season Mesoscale Convective Systems over the Great Plains. J. Hydrometeo. doi:DOI: 10.1175/JHM-D-19-0123.1.
- Dong, X. (2019). Cloud-Resolving Model Intercomparison of an MC3E Squall Line Case: Part II – Stratiform Precipitation Properties.. JGR-Atmosphere, 124. doi:https://doi.org/10.1029/2018JD029596
- Dong, X. (2019). Contrasting Pre-Meiyu and Meiyu Extreme Precipitation in the Yangtze River Valley: Influencing Systems and Precipitation Mechanisms.. J. Hydrometeo, 20, 1961-1980. doi:DOI: 10.1175/JHM-D-18-0240.1
- Dong, X. (2019). East Asian Study of Tropospheric Aerosols and Impact on Regional Cloud, Precipitation, and Climate (EAST-AIRCPC).. JGR, 124. doi:2019JD030758
- Dong, X. (2019). Estimation of Liquid Water Path in Stratiform Precipitation Systems using Radar Measurements. Atmos. Meas. Tech, 12, 3743-3759. doi:https://doi.org/10.5194/amt-2018-388.
- Dong, X. (2019). Investigation of aerosol cloud Interactions under different absorptive aerosol regimes using ARM SGP ground-based measurements.. Atmos. Chem. Phys. doi:https://doi.org/10.5194/acp-2019-478.
- Dong, X. (2019). Investigation of the ice cloud-precipitation properties of three modes of MCSs during PECAN.. JGR-Atmosphere, 124. doi:10.1029/2019JD030330
- Dong, X. (2019). Thicker clouds and accelerated Arctic Sea ice decline: The atmosphere‐sea ice interactions in spring. GRL, 46. doi:https://doi.org/10.1029/2019GL082791
- Dong, X. (2019). Vertical Structures of Typical Meiyu Precipitation Characteristics Retrieved from GPM-DPR.. JGR, 125. doi:https://doi.org/10.1029/2019JD031466.
- Han, B., Fan, J., Varble, A., Morrison, H., Williams, C. R., Chen, B., Dong, X., Giangrande, S. E., Khain, A., Mansell, E., Milbrandt, J. A., Shpund, J., & Thompson, G. (2019). Cloud-Resolving Model Intercomparison of an MC3E Squall Line Case: Part II. Stratiform Precipitation Properties. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 124(2), 1090-1117.
- Zhang, Z., Song, H., Ma, P., Larson, V. E., Wang, M., Dong, X., & Wang, J. (2019). Subgrid variations of the cloud water and droplet number concentration over the tropical ocean: satellite observations and implications for warm rain simulations in climate models. ATMOSPHERIC CHEMISTRY AND PHYSICS, 19(2), 1077-1096. doi:https://doi.org/10.5194/acp-19-1-2019.
- Chen, X., Huang, X., Dong, X., Xi, B., Dolinar, E. K., Loeb, N. G., Kato, S., Stackhouse, P. W., & Bosilovich, M. G. (2018). Using AIRS and ARM SGP Clear-Sky Observations to Evaluate Meteorological Reanalyses: A Hyperspectral Radiance Closure Approach. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 123(20), 11720-11734.
- Clark, A. J., Jirak, I. L., Dembek, S. R., Creager, G. J., Kong, F., Thomas, K. W., Knopfmeier, K. H., Gallo, B. T., Melick, C. J., Xue, M., Brewster, K. A., Jung, Y., Kennedy, A., Dong, X., Markel, J., Gilmore, M., Romine, G. S., Fossell, K. R., Sobash, R. A., , Carley, J. R., et al. (2018). THE COMMUNITY LEVERAGED UNIFIED ENSEMBLE (CLUE) IN THE 2016 NOAA/HAZARDOUS WEATHER TESTBED SPRING FORECASTING EXPERIMENT. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 99(7), 1433-1448.
- Dong, X. (2018). A Statistical and Dynamical Characterization of Large-Scale Circulation Patterns Associated with Summer Extreme Precipitation over the Middle Reaches of Yangtze River.. Climate Dyn. doi:https://doi.org/10.1007/s00382-018-4501-z
- Dong, X. (2018). A Survey of the Atmospheric Physical and Dynamical Processes Key to the Onset of Arctic Sea Ice Melting in Spring. Clim Dyn.. doi:https://doi.org/10.1007/s00382-018-4422-x
- Dong, X. (2018). Comparison of Daytime low-level Cloud Properties derived from GOES and ARM SGP Measurements. JGR, 123. doi:https://doi.org/10.1029/2018JD028911.
- Dong, X. (2018). Comparisons of Water Path in Deep Convective Systems among CERES-MODIS, GOES, and Ground-based retrievals.. JGR, 123. doi:https://doi.org/10.1002/2017JD027498.
- Dong, X. (2018). Evaluation of autoconversion and accretion enhancement factors in GCM warm-rain parameterizations using ground-based measurements over the Azores.. ACP, 18, 1–16. doi:https://doi.org/10.5194/acp-18-1-2018
- Dong, X. (2018). Influence of wind directions on thermodynamic properties and Arctic mixed-phase clouds at Barrow, Alaska in autumn season.. JGR, 123. doi:https://doi.org/10.1029/2018JD028631
- Dong, X. (2018). Investigation of liquid cloud microphysical properties of deep convective systems: 2. Parameterization of rain drop size distribution and its application for convective rain estimation.. JGR, 123. doi:https://doi.org/10.1029/2018JD028727
- Dong, X. (2018). Preface to the special issue: Aerosols, clouds, radiation, precipitation, and their interactions. ADVANCES IN ATMOSPHERIC SCIENCES, 35(2), 133-134.
- Dong, X. (2018). Quantify contribution of aerosol errors to cloud fraction biases in CMIP5 Atmospheric Model Intercomparison Project simulations. International Journal of Climatology, 1-17. doi:DOI:10.1002/joc.5490
- Dong, X. (2018). Sensitivity of numerical simulations of a mesoscale convective system to ice hydrometeors in bulk microphysical parameterization. Pure and Applied Geophysics.. doi:DOI 10.1007/s00024-018-1787-z
- Dong, X. (2018). The Community Leveraged Unified Ensemble (CLUE) in the 2016 NOAA/Hazardous Weather Testbed Spring Forecasting Experiment. BAMS, 1433-1448. doi:https://doi.org/10.1175/BAMS-D-16-0309.1.
- Dong, X. (2018). Using AIRS and ARM SGP clear-sky observations to evaluate meteorological reanalyses: a hyperspectral radiance closure approach. JGR, 123. doi:https://doi.org/10.1029/2018JD028850
- Fan, T., Zhao, C., Dong, X., Liu, X., Yang, X., Zhang, F., Shi, C., Wang, Y., & Wu, F. (2018). Quantify contribution of aerosol errors to cloud fraction biases in CMIP5 Atmospheric Model Intercomparison Project simulations. INTERNATIONAL JOURNAL OF CLIMATOLOGY, 38(7), 3140-3156.
- Logan, T., Dong, X., & Xi, B. (2018). Aerosol properties and their impacts on surface CCN at the ARM Southern Great Plains site during the 2011 Midlatitude Continental Convective Clouds Experiment. ADVANCES IN ATMOSPHERIC SCIENCES, 35(2), 224-233.
- McHardy, T. M., Dong, X., Xi, B., Thieman, M. M., Minnis, P., & Palikonda, R. (2018). Comparison of Daytime Low-Level Cloud Properties Derived From GOES and ARM SGP Measurements. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 123(15), 8221-8237.
- Qiu, S., Xi, B., & Dong, X. (2018). Influence of Wind Direction on Thermodynamic Properties and Arctic Mixed-Phase Clouds in Autumn at Utqiagvik, Alaska. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 123(17), 9589-9603.
- Tian, J., Dong, X., Xi, B., Minnis, P., Smith Jr., W. L., Sun-Mack, S., Thieman, M., & Wang, J. (2018). Comparisons of Ice Water Path in Deep Convective Systems Among Ground-Based, GOES, and CERES-MODIS Retrievals. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 123(3), 1708-1723.
- Wang, J., Dong, X., & Xi, B. (2018). Investigation of Liquid Cloud Microphysical Properties of Deep Convective Systems: 2. Parameterization of Raindrop Size Distribution and its Application for Convective Rain Estimation. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 123(20), 11637-11651.
- Wang, Y., Vogel, J. M., Lin, Y., Pan, B., Hu, J., Liu, Y., Dong, X., Jiang, J. H., Yung, Y. L., & Zhang, R. (2018). Aerosol microphysical and radiative effects on continental cloud ensembles. ADVANCES IN ATMOSPHERIC SCIENCES, 35(2), 234-247.
- Wu, P., Xi, B., Dong, X., & Zhang, Z. (2018). Evaluation of autoconversion and accretion enhancement factors in general circulation model warm-rain parameterizations using ground-based measurements over the Azores. ATMOSPHERIC CHEMISTRY AND PHYSICS, 18(23).
- Cui, W., Dong, X., Xi, B., & Kennedy, A. (2017). Evaluation of Reanalyzed Precipitation Variability and Trends Using the Gridded Gauge-Based Analysis over the CONUS. JOURNAL OF HYDROMETEOROLOGY, 18(8), 2227-2248.
- Dong, X. (2017). Cloud-radiation-precipitation associations over the Asian monsoon region: an observational analysis. Clim Dyn, 1-19. doi:10.1007/s00382-016-3509-5
- Dong, X. (2017). Evaluation of NASA GISS Post-CMIP5 Single Column Model Simulated Cloud and Precipitation Using the ARM SGP Observations.. Adv. Atmos Sci, 34, 306-320. doi:10.1007/s00376-016-5254-4
- Dong, X. (2017). Intercomparisons of marine boundary layer cloud properties from the ARM CAP-MBL campaign and two MODIS cloud products. JGR-Atmosphere, 122, 1-15. doi:10.1002/2016JD025763
- Dong, X. (2017). Seasonal Characteristics of Cloud Radiative Effects and their associations with cloud fraction and precipitation over Asian Monsoon Regions. Climate Dynamics. doi:DOI :10.1007/s00382-016-3509-5
- Dong, X. (2017). The footprints of 16-year trends of Arctic springtime cloud and radiation properties on September sea-ice retreat. JGR-Atmosphere, 122, 1-15. doi:10.1002/2016JD026020
- Dong, X. (2017). Use of observation-based aerosol profiles in simulations of a mid- latitude squall line during MC3E: Similarity of microphysics regime to tropical conditions.. ACP. doi:ACP-2016-948
- Fan, J., Han, B., Varble, A., Morrison, H., North, K., Kollias, P., Chen, B., Dong, X., Giangrande, S. E., Khain, A., Lin, Y., Mansell, E., Milbrandt, J. A., Stenz, R., Thompson, G., & Wang, Y. (2017). Cloud-resolving model intercomparison of an MC3E squall line case: Part I-Convective updrafts. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 122(17), 9351-9378.
- Fridlind, A. M., Li, X., Wu, D. i., van, L. M., Ackerman, A. S., Tao, W., McFarquhar, G. M., Wu, W., Dong, X., Wang, J., Ryzhkov, A., Zhang, P., Poellot, M. R., Neumann, A., & Tomlinson, J. M. (2017). Derivation of aerosol profiles for MC3E convection studies and use in simulations of the 20 May squall line case. ATMOSPHERIC CHEMISTRY AND PHYSICS, 17(9), 5947-5972.
- Huang, Y., Dong, X., Xi, B., Dolinar, E. K., & Stanfield, R. E. (2017). The footprints of 16 year trends of Arctic springtime cloud and radiation properties on September sea ice retreat. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 122(4), 2179-2193.
- Huang, Y., Dong, X., Xi, B., Dolinar, E. K., Stanfield, R. E., & Qiu, S. (2017). Quantifying the Uncertainties of Reanalyzed Arctic Cloud and Radiation Properties Using Satellite Surface Observations. JOURNAL OF CLIMATE, 30(19), 8007-8029.
- Li, J., Wang, W., Dong, X., & Mao, J. (2017). Cloud-radiation-precipitation associations over the Asian monsoon region: an observational analysis. CLIMATE DYNAMICS, 49(9-10), 3237-3255.
- Wu, P., Dong, X., Xi, B., Liu, Y., Thieman, M., & Minnis, P. (2017). Effects of environment forcing on marine boundary layer cloud-drizzle processes. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 122(8), 4463-4478.
- Zhang, L., Dong, X., Kennedy, A., Xi, B., & Li, Z. (2017). Evaluation of NASA GISS Post-CMIP5 Single Column Model Simulated Clouds and Precipitation Using ARM Southern Great Plains Observations. ADVANCES IN ATMOSPHERIC SCIENCES, 34(3), 306-320.
- Zhang, Z., Dong, X., Xi, B., Song, H., Ma, P., Ghan, S. J., Platnick, S., & Minnis, P. (2017). Intercomparisons of marine boundary layer cloud properties from the ARM CAP-MBL campaign and two MODIS cloud products. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 122(4), 2351-2365.
- Dolinar, E. K., Dong, X., & Xi, B. (2016). Evaluation and intercomparison of clouds, precipitation, and radiation budgets in recent reanalyses using satellite-surface observations. CLIMATE DYNAMICS, 46(7-8), 2123-2144.
- Dong, X. (2016). A Quantitative Assessment of Precipitation Associated With the ITCZ in the CMIP5 GCM Simulations.. Climate Dynamic, 47, 1863-1880. doi:DOI: 10.1007/s00382-015-2937-y
- Dong, X. (2016). A clear-sky radiation closure study using a one-dimensional radiative transfer model and collocated satellite-surface-reanalysis data sets. JGR-ATmosphere, 46, 13,698-13,714. doi:10.1007/s00382-015-693-z
- Dong, X. (2016). A radiation closure study of Arctic stratus cloud microphysical properties using the collocated satellite-surface data and Fu-Liou radiative transfer model. JGR-Atmosphere, 121, 10,175-10,198. doi:10.1002/2016JD025255
- Dong, X. (2016). Cloud Fraction at the ARM SGP Site: reducing uncertainty with self-organizing maps. Theor. Appl. Climatol, 124, 43-54. doi:doi:10.1007/s00704-015-1384-3.
- Dong, X. (2016). Comparison of the GPCP 1DD Precipitation Product and NEXRAD Q2 Precipitation Estimates over the Continental United States. Journal of Hydromet, 17, 1837-1853. doi:10.1175/JHM-D-15-0235.1
- Dong, X. (2016). Determining Best Method for Estimating Observed Level of Maximum Convective Detrainment based on Radar Reflectivity. Monthly Weather Review, 144, 2915-2926. doi:10.1175/MWR-D-15-0427.1
- Dong, X. (2016). Evaluation and intercomparison of clouds, precipitation and radiation budgets in recent reanalyses using satellite-surface data. Climate Dynamic.
- Dong, X. (2016). Improving Satellite Quantitative Precipitation Estimates With Optical Depth Retrievals.. J. Hydrometeorology, 17, 1837-1853. doi:DOI:10.1175/JHM-D-15-0235.1
- Dong, X. (2016). Investigation of liquid cloud microphysical properties of deep convective systems: 1. Parameterization raindrop size distribution and its application for stratiform rain estimation. JGR-Atmosphere, 121, 10739-10760. doi:doi:10.1002/2016JD024941
- Dong, X. (2016). Retrievals of ice cloud microphysical properties of deep convective systems using radar measurements. JGR-Atmosphere, 121, 10820-10839. doi:10.1002/2015JD024686