2023
2022
Year 2023:
151) Zhang, X., X. Dong, B. Xi and X. Zheng, 2023: Aerosol and cloud properties and their interactions for a selected stratocumulus cloud over Southern Ocean. Submitted to Atmosphere.
150) Tang, S., A. C. Varble, J. D. Fast, K. Zhang, P. Wu, X. Dong2, F. Mei, M. Pekour, J. C. Hardin, and P.L. Ma: 2023: Earth System Model Aerosol-Cloud Diagnostics Package (ESMAC Diags) Version 2: Assessments of Aerosols, Clouds and Aerosol-Cloud Interactions through long-term and field campaigns observations. submitted to Geoscientific Model Development.
149) Zheng, X, X. Dong, B. Xi et al. 2022: Contrasting the CMIP5 and CMIP6 AMIP Cloud and Radiation Simulations with ARM Observations in different Climate Regimes. Submitted to J. Clim..
148) Wang Y., X. Zheng, X. Dong, B. Xi, and Y.L. Yung, 2022: Insights of warm cloud biases in CAM5 and CAM6 from the single-column modeling framework and ACE-ENA observations. Submitted to ACP.
147) *Marcovecchio, A.R, Xi, B., Zheng, X., Wu, P., Zhang, Z., Dong, X.*, Behrangi A., 2022: Similarities and Differences in Marine Boundary Layer Cloud and Drizzle Properties during ACE-ENA and MARCUS field campaigns. JGR-Atmosphere (under revision)
146) Dong, X., X. Zheng, B. Xi and S. Xie, 2023: A climatology of mid-latitude maritime cloud fraction and radiative effect derived from the ARM ENA ground-based observations. J.Climate, 36, 531-546, DOI: 10.1175/JCLI-D-22-0290.1
Year 2022
145) Zhao, L., Y. Wang, C. Zhao and X. Dong, 2022: Compensating errors in cloud radiative and physical properties over the Southern Ocean in the CMIP6 climate models. ADVANCES IN ATMOSPHERIC SCIENCES, VOL. 39, 2156–2171.
144) *Zheng, X., X. Dong, D.M. Ward, B. Xi, P. Wu, and Y. Wang, 2022: Aerosol-Cloud-Precipitatio Interactions in a typical overcast close-cellular and non-homogenous MBL stratocumulus cloud. Advance Atmospheric Sciences, 39, 2107–2123.
143) *Theodore M McHardy; James R. Campbell; David A. Peterson; Simone Lolli; Anne Garnier; Arunas P. Kuciauskas; Melinda L. Surratt; Jared W. Marquis; Steven D. Miller; Erica K. Dolinar; Xiquan Dong, 2022: GOES ABI Detection of Thin Cirrus Over-land. Journal of Atmospheric and Oceanic Technology. DOI: 10.1175/JTECH-D-21-0160.1
142) *Brendecke, J., Dong, X., Xi, B., & Zheng, X. (2022). Maritime aerosol and CCN profiles derived from ship-based measurements over Eastern North Pacific during MAGIC. Earth and Space Science, 9, e2022EA002319. https://doi. org/10.1029/2022EA002319
141) Yang, H., Y. Deng, C. Cui, X. Dong, and B. Xi, 2021, Dynamic Trigger and Moisture Source of Two Typical Mei-yu Front Rainstorms Associated with Eastward-moving Cloud Clusters from the Tibetan Plateau, J. Meteor. Res., 36(3), 478–499, doi: 10.1007/s13351-022-1179-2
140) Xi, B., X. Dong, X. Zheng, and P. Wu, 2022: The cloud phase and macrophysical properties over Southern Ocean during MARCUS field campaign. Atmos. Meas. Tech., 15, 3761–3777. https://doi.org/10.5194/amt-15-3761-2022.
139) Hu, Y., Y. Deng, Y. Lin, Z. Zhou, C. Cui. C. Li, and X. Dong, 2021: Indirect Effect of Diabatic Heating on Mei-yu Frontogenesis. Clim. Dyn. https://doi.org/10.1007/s00382-022-06159-7
138) Dong, X and Minnis, P., 2022: Stratus, Stratocumulus and Remote Sensing, Chapter 8 of Fast Physics in Large Scale Atmospheric Models: Parameterization, Evaluation, and Observations. AGU, Manuscript ID 2020-Mar-CH-1234, 83 pages.
Year 2021
137) 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.
136) *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
135) Wang, J……X. Dong and coauthors, 2021: Aerosol and Cloud Experiments in the Eastern North Atlantic (ACE-ENA). BAMS-D-19-0220, BAMS (In press).
134)*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
133) 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.
132)*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.
131)*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
130)*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. JOC7233 International Journal of Climate, DOI: 10.1002/joc.7233.
129)*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
128)*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。
127) *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.
126) 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.
125) 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
124) Cui, C., X. Dong, B. Wang, and H. Yang, 2021: 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: 10.1007/s00376-020-0262-9
123) 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.
Year 2020
122) 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. Atmos. Chem. Phys., 21, 3103–3121, 2021. https://doi.org/10.5194/acp-21-3103-2021
121) Wang, Y., X. Zheng, X. Dong, B. Xi, P. Wu, T. Logan and Y.L. Yung, 2020: Long-range Transport of Aerosols on Marine Boundary Cloud Properties. Atmos. Chem. Phys., 20, 14741–14755, 2020. https://doi.org/10.5194/acp-20-14741-2020.
120) 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, 7, e2020EA001113.https://doi.org/10.1029/2020EA001113.
119) 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. Journal of Geophysical Research: Atmospheres, 125, e2019JD031915. https://doi.org/10.1029/2019JD031915
118) Liu, L., C. Cui, Y. Deng, Z. Zhou, J. Ren, Z. Cai, Y. Bai, B. Wang and X. Dong, 2020: Localization and Intensification of Mei-Yu Rainfall due to Aerosol-Cloud Interactions: A Preliminary Assessment Based upon WRF Simulations and IMFRE 2018 Field Observations. JGR, 125, e2019JD031952.https://doi.org/10.1029/2019JD031952
117) 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. Journal of Geophysical Research: Atmospheres, 125, e2019JD031955. https://doi.org/ 10.1029/2019JD031955
116) *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. J. Geophys. Res.125, e2019JD031954. https://doi.org/ 10.1029/2019JD031954
115) *Zhou, L., X. Dong, Z. Fu, B. Wang, L. Leng, B. Xi, and C. Cui, 2020: Vertical Distributions of Raindrops and Z-R Relationships Using Micro Rain Radar and 2D-Video Distrometer Measurements during the Integrative Monsoon Frontal Rainfall Experiment (IMFRE). JGR, 125, e2019JD031108. https://doi.org/10.1029/2019JD031108.
114) *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, 125, 2019JD031466. https://doi.org/10.1029/2019JD031466.
113) Hao He, Hailong Wang, Zhaoyong Guan, Haishan Chen, Qiang Fu, Muyin Wang, Xiquan Dong, Chunguang Cui, Likun Wang, Bin Wang, Gang Chen, Zhanqing Li, and Da-lin Zhang, 2020: Facilitating International Collaboration on Climate Change Research. BAMS, https://doi.org/10.1175/BAMS-D-19-0320.1
112) Tian*, J., X. Dong, B. Xi and Z. Feng, 2020: Characteristics of Ice Cloud-Precipitation of Warm Season Mesoscale Convective Systems over the Great Plains. J. Hydrometeo, DOI: 10.1175/JHM-D-19-0123.1.
111) *Zheng, X., B. Xi, X. Dong, T. Logan, Y. Wang and Peng Wu, 2020: Investigation of aerosol and cloud Interactions under different absorptive aerosol regimes using ARM SGP ground-based measurements. Atmos. Chem. Phys., 20, 3483–3501. https://doi.org/10.5194/acp-20-3483-2020
110) *Cui, W., Dong, X., Xi, B., & Liu, M. (2020). Cloud and precipitation properties of MCSs along the Meiyu frontal zone in central and southern China and their associated large-scale environments. JGR-Atmosphere, 125, e2019JD031601. https://doi.org/ 10.1029/2019JD031601,
109) *Cui, W., X. Dong, B. Xi, Z. Feng, and J. Fan, 2020: Can the GPM IMERG product accurately represent MCSs’ precipitation characteristics over the Central and Eastern United States? J. Hydrometeo., 21, 39-57, DOI: 10.1175/JHM-D-19-0123.1
108) 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, 13,026- 13,054: https://doi.org/10.1029/2019JD030758
107) Wu*, P., X. Dong and B. Xi, 2020b: A Climatology of Marine Boundary Layer Cloud and Drizzle Properties derived from Ground-based Observations over the Azores. J. Clim. 33 (23): 10,133-10,148; https;;/doi.org/10.1175/JCLI- D-20-0272.1.
106) Wu*, P, X. Dong, B. Xi, and D.M. Ward, 2020a: Profiles of MBL cloud and drizzle microphysical properties retrieved from ground-based observations and validated by aircraft in-situ measurements over the Azores. JGR, 125, e2019JD032205. https://doi.org/10.1029/2019JD032205.
Year 2019
105) Hu, Y., Y. Deng, Z. Zhou, H. Li, C. Cui, and X. Dong, 2019: A Synoptic-View-Based Assessment of the Summer Extreme Rainfall over the Middle Reaches of Yangtze River in CMIP5 Models. Clim. Dyn., https://doi.org/10.1007/s00382-019-04803-3.
104) *Huang, Y., Dong, X., Bailey, D. A., Holland, M. M., Xi, B., DuVivier, A. K., et al (2019). Thicker clouds and accelerated Arctic Sea ice decline: The atmosphere‐sea ice interactions in spring. Geophysical Research Letters, 46. https://doi.org/10.1029/2019GL082791
103) *Wang, X., X. Dong, Y. Deng, C. Cui, R. Wan and W. Cui, 2019: Contrasting Pre-Meiyu and Meiyu Extreme Precipitation in the Yangtze River Valley: Influencing Systems and Precipitation Mechanisms. J. Hydrometeo. 1961-1980, 20, DOI: 10.1175/JHM-D-18-0240.1
102) *Cui, W., X. Dong, B. Xi, J. Fan, J. Tian, J. Wang, and T. McHardy, 2019: Investigation of the ice cloud-precipitation properties of three modes of MCSs during PECAN. JGR-Atmosphere, 124, 10.1029/2019JD030330
101) *Wang. J., X. Dong, A. Kennedy, B. Haggenhoff and B. Xi, 2019: A Regime Based Evaluation of Southern and Northern Great Plains Warm Season Precipitation Events in WRF. Wea. Forecasting. DOI: 10.1175/WAF-D-19-0025.1.
100) *Tian, J., X. Dong, B. Xi, C.R. Williams, and P. Wu, 2019: Estimation of Liquid Water Path in Stratiform Precipitation Systems using Radar Measurements. Atmos. Meas. Tech. 12, 3743–3759, https://doi.org/10.5194/amt-2018-388.
99) *Dolinar E.K., X. Dong, B. Xi, J.H. Jiang, N.G. Loeb, and J.R. Campbell. 2019: A Record of Global Single-layered Ice Cloud Properties and Associated Radiative Heating Rate Profiles from an A-Train Perspective. Clim. Dyn. DOI: 10.1007/s00382-019-04682-8
98) Han, B. et al. 2019: Cloud-Resolving Model Intercomparison of an MC3E Squall Line Case: Part II –Stratiform Precipitation Properties. JGR. 124. https://doi.org/10.1029/2018JD029596
97) Zhang, Z, H. Song, P.L. Ma, V. E. Larson, M. Wang, and X. Dong, 2019: Subgrid Variations of the Cloud Water and Droplet Number Concentration Over Tropical Ocean: Satellite Observations and Implications for Warm Rain Simulation in Climate Models. Atmos. Chem. Phys., 19, 1–19, 2019. https://doi.org/10.5194/acp-19-1-2019
Year 2018
96) Chen, X., X. Huang, X. Dong, B. Xi, E.K. Dolinar, N.G. Loeb, S. Kato, P. Stackhouse, and M.G. Bosilovich, 2018: Using AIRS and ARM SGP clear-sky observations to evaluate meteorological reanalyses: a hyperspectral radiance closure approach. JGR, 123. https://doi.org/10.1029/2018JD028850
95) *Wang. J., X. Dong, and B. Xi, 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,
https://doi.org/10.1029/2018JD028727.
94) *Wu, P., B. Xi, X. Dong, and Z. Zhang, 2018: Evaluation of autoconversion and accretion enhancement factors in GCM warm-rain parameterizations using ground-based measurements over the Azores. Atmos. Chem. Phys., 18, 1–16, 2018.
https://doi.org/10.5194/acp-18-1-2018
93) Hu, Y., Y. Deng, Z. Zhou, C. Cui, and X. Dong, 2018: A Statistical and Dynamical Characterization of Large-Scale Circulation Patterns Associated with Summer Extreme Precipitation over the Middle Reaches of Yangtze River. Clim Dyn. https://doi.org/10.1007/s00382-018-4501-z
92) *Qiu S., B. Xi and X. Dong, 2018: Influence of wind directions on thermodynamic properties and Arctic mixed-phase clouds at Barrow, Alaska in autumn season. JGR, 123, https://doi.org/10.1029/2018JD028631
91) *McHardy, T.M., X. Dong, B. Xi, M. M. Thieman, and P. Minnis, 2018: Comparison of Daytime low-level Cloud Properties derived from GOES and ARM SGP Measurements. JGR, 123, https://doi.org/10.1029/2018JD028911.
90) *Huang, Y., X. Dong, B. Xi and Y. Deng, 2018: A Survey of the Atmospheric Physical and Dynamical Processes Key to the Onset of Arctic Sea Ice Melting in Spring. Clim Dyn. https://doi.org/10.1007/s00382-018-4422-x
89) Pu, Z., C. Lin, X. Dong, and S. Krueger, 2018: Sensitivity of numerical simulations of a mesoscale convective system to ice hydrometeors in bulk microphysical parameterization: Pure and Applied Geophysics. DOI 10.1007/s00024-018-1787-z
88) Fan, T., C. Zhao, and X. Dong, 2018: Quantify contribution of aerosol errors to cloud fraction biases in CMIP5 Atmospheric Model Intercomparison Project simulations. 1-17, International Journal of Climatology. DOI:10.1002/joc.5490
87) *Tian, J., X. Dong, B. Xi, P. Minnis, S. Sun-Mack and W. L. Smith, Jr., 2018: Comparisons of Water Path in Deep Convective Systems among CERES-MODIS, GOES, and Ground-based retrievals. JGR, 123.https://doi.org/10.1002/2017JD027498.
86) Clark, A., X. Dong et al., 2018: The Community Leveraged Unified Ensemble (CLUE) in the 2016 NOAA/Hazardous Weather Testbed Spring Forecasting Experiment. BAMS, 1433-1448, https://doi.org/10.1175/BAMS-D-16-0309.1.
85) Dong, X., 2018: Preface to the special issue on the “Aerosols, Clouds, Radiation, Precipitation, and Their Interactions”. Adv. Atmos. Sci., 35(2), doi: https://doi.org/10.1007/s00376-017-7007-4.
84) Wang. Y. et al. 2018: Aerosol microphysical and radiative effects on continental cloud ensembles. Adv. Atmos. Sci., 35(2), https://doi.org/ 10.1007/s00376-017-7091-5.
83) *Logan, T., X. Dong, B. Xi, 2018: Aerosol properties and their impacts on surface CCN at the ARM Southern Great Plains site during the 2011 Midlatitude Continental Convective Clouds Experiment. Adv. Atmos. Sci., 35(2), doi: https://doi.org/10.1007/s00376-017-7007-4
Year 2017
82) *Cui. W., X. Dong, B. Xi, and A. Kennedy, 2017: Evaluation of reanalyzed precipitation variability and trends using the GPCP product over the CONUS. 2227-2248, 118, J. Hydrometeo. DOI: 10.1175/JHM-D-17-0029.1
81) *Wu, P., X. Dong, B. Xi, Y. Liu, M. Khaiyer, and P. Minnis, 2017: Effects of Environment Forcing on Marine Boundary Layer Cloud-Drizzle Processes. JGR-atmosphere, 122, 4463-4478, doi:10.1002/2016JD026326
80) Fan, J., et al., 2017: Cloud-Resolving Model Intercomparison of a MC3E Squall Line Case –Properties of Convective Cores. JGR. DOI:10.1002/2017JD026622
79) Fridlind, A.M., et al., 2017: Derivation of aerosol profiles for MC3E convection studies and use in simulations of the 20 May squall line case. Atmos. Chem. Phys., 17, 5947–5972, 2017. www.atmos-chem-phys.net/17/5947/2017/doi:10.5194/acp-17-5947-2017
78) Li, J., W.C. Wang, X. Dong and J. Mao, 2017: Seasonal Characteristics of Cloud Radiative Effects and their associations with cloud fraction and precipitation over Asian Monsoon Regions. Climate Dynamics, DOI :10.1007/s00382-016-3509-5.
77) *Huang Y, X, Dong, B. Xi, E.K. Dolinar, R.E. Stanfield and S. Qiu, 2017: Quantifying the uncertainties of reanalyzed Arctic cloud and radiation properties using satellite-surface observations: J Clim., 8007-8029, 30, 10.1175/JCLI-D-16-0722.1
76) *Huang, Y., X. Dong, B. Xi, E. Dolinar, R. Stanfield, 2017: The footprints of 16-year trends of Arctic springtime cloud and radiation properties on September sea-ice retreat. JGR. 122, 2179-2193. DOI: 10.1002/2016JD026020
75) Zhang, Z., X. Dong, B. Xi, H. Song, P-L. Ma, S. Ghan, S. Platnick, and P. Minnis, 2017: Inter-comparisons of marine boundary layer cloud properties from two MODIS products and ground-based retrievals over the ARM Azores site. JGR. 122,
DOI:10.1002/2016JD025763.
74) *Zhang, L., X. Dong, B. Xi, A. Kennedy, and Z. Li, 2017: Evaluation of NASA GISS Post-CMIP5 Single Column Model Simulated Cloud and Precipitation Using the ARM SGP Observations. Adv. Atmos Sci., 34(3), 306-320, doi: 10.1007/s00376-016-5254-4.
2016
73) *Dolinar, E., X. Dong, B. Xi, J. Jiang, N.G. Loeb, 2016: A Clear-sky Radiation Closure Study Using a One-dimensional Radiative Transfer Model and Collocated Satellite-Surface-Reanalysis Data Sets. JGR, 121, 13,698-13,714. doi:10.1002/2016JD025823.
72) Dong, X., B. Xi, S. Qiu, P, Minnis, S. Sun-Mack, and F. Rose, 2016: A Radiation Closure Study of Arctic Cloud Microphysical Properties using the collocated satellite-surface data and Fu-Liou Radiative Transfer Model. J. Geophys. Res. Atmos., 121,10,175-10,198, doi:10.1002/2016JD025255.
71) Compo, G., J. Carton, X. Dong, A. Kumar, S. Saha, J. S. Woollen, L. Yu, and H. M. Archambault, 2016: Report from the NOAA Climate Reanalysis Task Force Technical Workshop. NOAA Technical Report OAR CPO-4, Silver Spring, MD. doi: 10.7289/V53J39ZZ. Available at http://cpo.noaa.gov/sites/cpo/MAPP/pdf/ClimateReanalysisTaskForceWorkshopReport.pdf.
70) *Dolinar, E., X. Dong, and B. Xi, 2016: Evaluation and intercomparison of clouds, precipitation and radiation budgets in recent reanalyses using satellite-surface data . Clim Dyn. 46, 2123-2144. DOI:10.1007/s00382-015-693-z.
69) *Stenz, R., X. Dong, B. Xi, Z. Feng, and R.J. Kuligowski, 2016: Improving Satellite Quantitative Precipitation Estimates With Optical Depth Retrievals. J. Hydrometeorology, 17, 557-570. DOI: 10.1175/JHM-D-15-0057.1
68) *Cui, W., X. Dong, B. Xi, and R. Stenz, 2016: Comparison of the GPCP 1DD precipitation product and NEXRAD Q2 precipitation estimates over the CONUS. J. Hydrometeology, 17, 1837-1853. DOI:10.1175/JHM-D-15-0235.1
67) Carletta, N.D., G.L. Mullendore, M. Starzec, B. Xi, Z. Feng, and X. Dong, 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
66) *Wang, J., X. Dong, B. Xi and A.J. Heymsfield, 2016: Investigation of liquid cloud microphysical properties of deep convective systems: 1. Parameterization of rain drop size distribution and its application for stratiform rain estimate. J. Geophys. Res. Atmos., 121, 10,739-10,760, doi:10.1002/2016JD024941.
65) *Tian, J., X. Dong, B. Xi, J. Wang, C.R. Homeyer, G.M. McFarquhar, and J. Fan, 2016: Retrievals of ice cloud microphysical properties of deep convective systems using radar measurements. J. Geophys. Res. Atmos. 121, 10,820-10,839, doi:10.1002/2015JD024686.
64) *Stanfield, R., J. Jiang, X. Dong, B. Xi, H. Su et al, 2016: A Quantitative Assessment of Precipitation Associated With the ITCZ in the CMIP5 GCM Simulations. Clim Dyn. 47, 1863-1880. DOI: 10.1007/s00382-015-2937-y.
63) Xu, G., B. Xi, W. Zhang, C. Cui, X. Dong, Y. Liu, and G. Yan, 2015: Comparison of atmospheric profiles between microwave radiometer retrievals and radiosonde soundings. JGR, 120, 10,313–10,323, doi:10.1002/2015JD023438.
62) Cui, C., R. Wan, B. Wan, X. Dong et al. (2015): The Mesoscale Heavy Rainfall Observing System (MHROS) over the Middle Region of the Yangtze River in China. JGR, 10,399–10,417, doi:10.1002/2015JD023341.
61) *Wu, P., X. Dong, and B. Xi, 2015: MBL drizzle properties and their impact on cloud microphysical property retrievals. Atmos. Meas. Tech., 8, 3555–3562, 2015. doi:10.5194/amt-8-3555-201560)
60) Dong, X. A. C. Schwants, B. Xi, and P. Wu, 2015: Investigation of the Marine Boundary Layer Cloud Properties under the Coupled and Decoupled conditions over the Azores. JGR. 120, 6179-6191, DOI: 10.1002/2014JD022939
59) *Qiu, S., X. Dong, B. Xi. J. Li, 2015: Characterizing Arctic mixed-phase cloud structure and its relationship with humidity and temperature inversion using ARM NSA Observations. JGR, 120, 7737-7746, doi:10.1002/2014JD023022.
58) Fan, J., Y.-C. Liu, K.-M. Xu, K. North, S. Collis, X. Dong, G. J. Zhang, Q. Chen, P. Kollias, and S. J. Ghan (2015), Improving representation of convective transport for scale-aware parameterization: 1. Convection and cloud properties simulated with spectral bin and bulk microphysics, J. Geophys. Res. Atmos., 120, 3485–3509, doi:10.1002/2014JD022142.
57) *Wang, J., X. Dong, and B. Xi, 2015: Investigation of Ice cloud microphysical Properties of DCS using Aircraft in-Situ Measurements. JGR, 120, 3533-3552, 10.1002/2014JD022795.
56) *Kennedy, A., X. Dong and B. Xi, 2015: Cloud Fraction at the ARM SGP Site: reducing uncertainty with self-organizing maps. Theor. Appl. Climatol. 115:91-105. DOI 10.1007/s00704-015-1384-3
55) *Dolinar, E., X. Dong, B. Xi, J. Jiang and H. Su, 2015: Evaluation of CMIP5 simulated Clouds and TOA Radiation Budgets using NASA satellite observations. Climate Dynamics. 44, 2229-2247. DOI: 10.1007/s00382-014-2158-9
54) *Stanfield, R., X. Dong, B. Xi, A. Gel Genio, P. Minnis, D. Doelling, and N. Loeb, 2015: Assessment of NASA GISS CMIP5 and post-CMIP5 Simulated Clouds and TOA Radiation Budgets Using Satellite Observations. Part II: TOA Radiation Budgets and Cloud Radiative Forcings. J. Clim., 28, 1842-1864. DOI: 10.1175/JCLI-D-14-00249.1
53) Wood, R., X. Dong, and coauthors, 2015: Clouds, Aerosol, and Precipitation in the Marine Boundary Layer: An ARM Mobile Facility Deployment. 419-439, DOI:10.1175/BAMS-D-13-00180.1
-- Dong, X., B. Xi, and P. Wu, 2014: Investigation of Diurnal Variation of MBL Cloud Microphysical Properties at the Azores. Journal of Climate, Vol. 27, No. 23. 8827-8835
-- Dolinar, E., X. Dong, B. Xi, J. Jiang and H. Su, 2014, Evaluation fo CMIP5 simulated Clouds and TOA Radiation Budgets using NASA satellite observations. Climate Dynamics, doi: 10.1007/s00382-014-2158-9
-- Xi, B., X. Dong, P. Minnis, and S. Sun-Mack, 2014, Validation of CERES-MODIS Edition 4 Marine Boundary Layer Cloud Properties using DOE ARM AMF Measurements and the AZORES. JGR, 119, doi:10.1002/2014JD021813.
-- Logan, T., B. Xi, and X. Dong, 2014, Aerosol Physical and Chemical Properties and Their Interaction with CCN over the AMF-Azores Facility. JGR, 119, doi:10.1002/2013JD021288.
-- Stenz, R. X. Dong, B. Xi, and B. Kuligowski, 2014: Assesment of SCaMPR and NEXRAD Q2 precipitation estimates using Oklahoma Mesonet observations. J. Hydrometeorology, 15, No. 6, page 2484-2500.
-- Jiang, T. L.J. Evans, Y. Deng and X. Dong, 2014: Intermediate Frequency Atmospheric Disturbances: A Dynamical Bridge Connecting western U.S. Extreme Precipitation with East Asian Cold Surges. JGR, doi:10.1002/2013JD021209.
-- Stanfield, R., X. Dong, B. Xi, A. Gel Genio, P. Minnis, and J. Jiang, 2014: Assessment of NASA GISS CMIP5 and post CMIP5 Simulated Clouds and TOA Radiation Budgets Using Satellite Observations: Part I: Cloud Fraction and Properties. J. Clim., doi:10.1175/JCLI-D-13-00588.1
-- Dong, X., B. Xi, A. Kennedy, P. Minnis and R. Wood, 2014: A 19-month Marine Aerosol-Cloud_Radiation Properties derived from DOE ARM AMF deployment at the Azores: Part I: Cloud Fraction and Single-layered MBL cloud Properties. J. Clim., 27, doi:10.1175/JCLI-D-13-00553.1
-- Logan, T., B. Xi, and X. Dong, 2013: Biomass Burning Aerosol Properties oer the Northern Great Plains during the 2012 Worm Season. Atmos, Chem. Phys. Discuss., 13, 1-21, 2013
www.atmos-chem-phys-discuss.net/13/1/2013/doi: 10.5194/acpd-13-1-2013
-- Dong, X. , B. Zib, B. Xi, Y. Deng, X, Zhang, B. Lin, and C.N. Long 2013: Critical Mechanisms for the Formation of Extreme Arctic Sea-Ice Extent in the Summers of 2007 and 1996 . Climate Dyn, DOI:10.1007/s00382-013-1920-8
-- Qiu, Y, X. Dong, B, Xi and Z. Wang, 2013: Effects of Clouds and Aerosols on Surface Radiation Budget Inferred from DOE AMF at Shouxian, China , ATMOSPHERIC AND OCEANIC SCIENCE LETTERS, 6, page 1-5.
-- Logan, T., B. Xi, X. Dong, 2013, A Comparison of the Mineral Dust Absorptive Properties between Two Asian Dust Events . Atmosphere 2013, 4(1), 1-16; doi:10.3390/atmos4010001
-- Logan, T., B. Xi, X. Dong, Z. Li, and M. Cribb, 2013, Classification and Investigation of Asian Aerosol absorptive properties. Atmos. Chem. Phys., 13, 2253-2265.
-- Kennedy, A., X. Dong , and B. Xi, 2013: Cloud Fraction at the ARM SGP Site: Instrument and Sampling Considerations from 14 years of ARSCL . Theor. Appl. Climatol. DOI:10.1007/s00704-013-0853-9.
-- Dai, T., D. Goto, X. Dong , and T Nakajima, 2013: Simulated aerosol key optical properties over global scale using an aerosol transport model coupled with a new type of dynamic core. Atmospheric Environemnt, 82(2014), 71-82.
-- Wood, K., J. E. Overland, S. A. Salo, N. A. Bond, B. Williams, and X. Dong , 2013: Is there a "new normal" climate in the Beaufort Sea? Polar Research, 32, 19552.
http://dx.doi.org/10.3402/polar.v32i0.19552
-- Wu, D., X. Dong. B. Xi, Z. Feng, A. Kennedy, G. Mullendore, M. Gilmore, and W-K Tao, 2013, The Impact of Various WRF Single-Moment Microphysics Parameterizations on Squall Line Precipitation, JGR, 118, 1-17, DOI: 10.1002/jgrd.50798.
-- Feng, Z., X. Dong , B. Xi, S. McFarlane, A. Kennedy, B. Lin, and P. Minnis, 2012: Life Cycle of Mid-Latitude Deep Convetive Systems in a Lagrangian Framework . JGR. 117, D23201, doi:10.1029/2012JD018362.
-- Huang, D., C. Zhao, M. Dunn, X. Dong , G.G. Mace, M.P. Jensen, S. Xie, and Y. Liu, 2012: An Intercomparison of Radar-Based Liquid Cloud Microphysics Retrievals and Implication for Model Evaluation Studies . Atmospheric Measurement Techniques, 5, 1409-1424, doi:10.5194/amt-5-1409-2012.
-- Zib, B., X. Dong , B. Xi, and A. Kennedy, 2011: Evaluation and Intercomparison of Cloud Fraction and Radiative Fluxesin Recent Reanalyses over the Arctic using BSRN Surface Observations. J. Climate, 25, 2291-2305.
-- Feng,Z., X, Dong , B. Xi, C. Schumacher, P. Minnis, and M. Khaiyer, 2011: TOA Radiation Budget of Convective Core/Stratiform Rain and Anvils from Deep Convective Systems. JGR,Vol 116 , D23202, doi10.1029/2011JD16451.
-- Kennedy, A.D., X. Dong , B. Xi. S. Xie, Y. Zhang, and J. Chen, 2011: A Comparison of MERRA and NARR Reanalysis Datasets with the DOE ARM SGP Continuous Forcing data. J. Clim. 24, 4541-4557.
-- Minnis, P., S. Sun-Mack, Y. Chen, M.Khaiyer, Y. Yi, J.Ayers, R. Brown, X. Dong, , S.Gibson, P. Heck, B. Lin, M.Nordeen, L. Nguyen, R. Palikonda, W. Smith, Jr., D. Spangenberg, Q. Trepte, B. Xi, 2011: CERES Edition-2 Cloud Property Retrievals using TRMM VIRS and TERRA and AQUA MODIS data, PART II: Examples of Average -- Results and Comparison with other data. IEEE Transactions on Geoscience and Remote Sensing, Remote Sens. TGRS-2010-00092.R1.
-- Logan, T., B. Xi, X. Dong , R. Obrecht, Z. Li, M. Cribb, E. Browell, and A. Clarke, 2010: A study of Asian Dust Plumes using Satellite, Surface, and Aircraft Measurementsduring the INTEX-B Field Experiment. J. Geophys. Res. 115, D12124, doi:10.1029/2010JD014134.
-- Dong, X. , B. Xi, A. Kennedy, Z. Feng, J. Entin, P. Houser, B. Schiffer, W.B. Rossow, W. Olson, T.L'Ecuyer, T. Liu, K-L Hsu, and B. Lin, 2010: Investigation of the 2006 Drought and 2007 Flood Extreme Events at the SGP using an Integrative Analysis of Observations. J. Geophys. Res. 116, D03204, doi:10.1029/2010JD014776.
-- Dong, X. , B. Xi, K.Crosby, C.N.Long, R.Stone, 2010: A 10 year climatology of Arctic cloud fraction and radiative forcing at Barrow, Alaska J. Geophys. Res. D12124, doi:10.1029/2009JD013489.
--Xi, B., X. Dong, , P.Minnis, M. Khaiyer, 2009: A 10-yr climatology of cloud cover and vertical distribution from both surface and GOES observations over DOE ARM SGP site, J. Geophys. Res. 115,D12124, doi:10.1029/2009JD012800.
--Kennedy, A., X. Dong, , B. Xi, P.Minnus, A. Del Genio, M.M. Khaiyer, and A. Wolf, 2009: Evaluation of NASA GISS Single Column Model Simulated Clouds Using Combines Surface and Satellite Observation. J. Climate. doi:10.1175/2010JCLI3353.1.
--Feng,Z., X.Dong, , B. Xi, 2009: A Method to Merge WSR-88D Data with ARM SGP Millimeter Cloud Radar Data by Studying Deep Convective Systems. J. Atmos.Oceanic.Technol. Vol. 26, 958-971.
-- Dong, X. ,P. Minnis, B. Xi, S. Sun-Mack, and Y. Chen, 2008: Comparison of CERES-MODIS stratus cloud properties using ground-based measurements at the DOE ARM SGP site . J. Geophys. Res. , Vol. 113 ,D03204,doi:10.1029/2007JD008438.
-- Dong, X. , B. Wielicki, B. Xi, Y. Hu, G. G. MACE, S. Benson, 2008: Using Observations of Deep Convective Systems to Constrain Atmospheric Column Absorption in the Optically Thick Limit . J. Geophys. Res. .Vol. 113 ,D10206, doi:10.1029/2007JD009769.
-- Dong, X. , B. Xi, and P. Minnis, 2006: Observational Evidence of Changes in Water Vapor, Clouds, and Radiation at ARM SGP site . Geophys. Res. Lett. 33 , L19818, doi.10.1029/2006GL027132.
-- Mace, G.G., S. Benson, K.L. Sonntag, S. Kato, Q. Min, P. Minnis, C. Twohy, M. Poellot, X. Dong , C.N. Long, and Q. Zhang, 2006: Cloud Radiative Forcing at the ARM Climate Research Facility: Part 1. Technique, Validation, and Comparison to Satellite-Derived Diagnostic Quantities . J. Geophys. Res. ,D11S90, doi:10.1029/2005JD005921.
-- Dong, X. , B. Xi, and P. Minnis, 2006: A climatology of midlatitude continental clouds from ARM SGP site. Part II: Cloud fraction and surface radiative forcing . J. Climate. 19 , 1765-1783.
-- Patrick, M., Patrick, H., Sunny, S., Qing, T, Yan, C, Ricky, B, Sharon, G, Xiquan, D, Baike, X: A Multi-Year Data Set of Cloud Properties Derived for CERES from Aqua, Terra, and TRMM. IGARSS 2006: 1780-1783.
-- Dong, X. , 2005: The impact of surface albedo on the retrievals of low-level stratus cloud properties: An update parameterization . Geophys. Res. Lett. 32 , No.10, L10802.10.1029/2005GL022548.
-- Dong X. , P. Minnis, B. Xi, 2005: A climatology of midlatitude stratus clouds from ARM SGP site: Part I:Macrophysical, microphysical and radiative properties . J. Climate. 18 , 1391-1410.
-- Garrett, T.J., C. Zhao, X. DONG , G.G. Mace, and P.V. Hobbs, 2004: Effects of Long-Range Pollution Transport on North American Arctic Stratus . Geophys. Res. Lett. 31 , doi:10.1029/2004GL019928.
-- Penner, J.E., X.Dong , Y. Chen, 2004: Observational evidence for a change in radiative forcing due to the indirect aerosol effect . Nature , 427 , 231-234.
-- Dong X. , and G.G. Mace, 2003: Profiles of Low-level Stratus Cloud Microphysics Deduced from Ground-based Measurements . J. Atmos and Oceanic Tech . 20 ,42-53.
-- Dong X. , and G.G. Mace, 2003: Arctic Stratus Cloud Properties and Radiative Forcing Derived From Ground-Based Data Collected Near Point Barrow, Alaska . J. of Climate , 16. 445-461.
-- Dong X. , P. Minnis, G.G. Mace, W.L. Smith Jr, M. Poellt, R. Marchand, and Anita D. Rapp, 2002: Comparison of stratus cloud properties deduced from surface, GOES, and aircraft data during the March 2000 ARM Cloud IOP . J. Atmos. Sci . 59, 3265-3284.
-- Liljegren,J.C., E.E.Clothiaux, G.G.Mace, S.Kato, and X. Dong , 2001: A New Retrieval for Cloud Liquid Water Path Using a Ground-based Microwave Radiometer and Measurements of Cloud Temperature . J. Geophys. Res. 106, 14,485-14,500.
-- Dong X. , G.G.Mace, P.Minnis, and D.F. Young, 2001: Arctic Stratus Cloud Properties and Their Effect on the Surface Radiation Budget: Selected Cases from FIRE ACE . JGR FIRE special issue . J. Geophys. Res. 106, 15,297-15,312.
-- Minnis, P., X. Dong , and S. Sun-Mack, 2000: Clouds and the Earth's Radiant Energy System (CERES) Validation Document: Validation of Imager Cloud Optical Properties (Subsystem 4.3) , edited by NASA CERES science team.
-- Minnis, P., W.L. Smith, Jr., X. Dong , Y. Chen, B.A. Wielicki, and B.A. Baum, 2000: Clouds and the Earth's Radiant Energy System (CERES) Validation Document: Imager Cloud-Top Heights and Imager Cloud-Base Heights (Subsystem 4.2), edited by NASA CERES science team.
-- Valero,F.P., P.Minnis, S.K.Pope, A.Bucholtz, B.C.Bush, D.R. Doelling, W.L. Smith Jr., and X. Dong , 2000: Absorption of Solar Radiation by the Atmosphere as Determined Using Satellite, Aircraft, and Surface Data During the Atmospheric Radiation Measurements Enhanced Shortwave Experiment (ARESE) . J. Geophys. Res. 105, 4743-4758.
-- Dong X. , P. Minnis, T. P. Ackerman, E. E. Clothiaux, G. G. Mace, C. N. Long, and J. C. Liljegren, 2000: A 25-month Database of Stratus Cloud Properties Generated from Ground-based Measurements at the ARM SGP Site . J. Geophys. Res . 105, 4529-4538.
-- Dong X. , T.P. Ackerman, and E.E. Clothiaux, 1998: Parameterizations of Microphysical and Radiative Properties of Boundary Layer Stratus from Ground-based measurements . J. Geophys. Res . 102, 31,681-31,393.
-- Dong X. , T.P. Ackerman, E.E. Clothiaux, Pilewskie, and Y. han, 1997: Microphysical and Radiative Properties of Stratiform Clouds Deduced from Ground-based Measurements . J. Geophys. Res , 102, 23829-23843.
-- Danne, O., G. Mace, E.E. Clothiaux, X. Dong , T.P. Ackerman, and M. Quante, 1996: Observing Structures and Vertical Motions within Stratiform Clouds Using a vertical Pointing 94-GHz Cloud Radar. Contributions to Atmospheric Physics , 69, 229-237.