2023:
84. Niu, H., Hu, X.-M., Shang, L., Meng, X., Wang, S., Li, Z., . . . Sheng, D. (2023). Evaluation of Original and Water Stress-Incorporated Modified Weather Research and Forecasting Vegetation Photosynthesis and Respiration Model in Simulating CO2 Flux and Concentration Variability over the Tibetan Plateau. Remote Sensing, 15(23), 5474. doi:10.3390/rs15235474
83. Wang, Y., C. Huang, X.-M. Hu, et al. Quantifying the impact of COVID-19 pandemic on the spatiotemporal changes of CO2 concentrations in the Yangtze River Delta, China, J. Geophys. Res.-Atmospheres, doi:10.1029/2023JD038512 .
82. Chen, M., Li, Z., Vergara, H. J., Gourley, J. J., Xue, M., Hong, Y.,Hu, X.-M., . . . Yanqui Morales, I. (2023). CONUS-wide model calibration and validation for CRESTv3.0 - an improved Coupled Routing and Excess STorage distributed hydrological model. Journal of Hydrology, 130333. doi:10.1016/j.jhydrol.2023.130333
81. Huang, Y., M. Xue, X.-M. Hu, E. Martin, H. M. Novoa, R. A. McPherson, A. Perez, and I. Y. Morales (2023), Convection-Permitting Simulations of Precipitation over the Peruvian Central Andes: Strong Sensitivity to Planetary Boundary Layer Parameterization. J. Hydrometeor., doi:10.1175/JHM-D-22-0173.1 .
80. Li X, Quan W, Hu X-M, Jia Q, Ma Z, Dong F, Zhang Y, Zhou H, Wang D. (2023) On the Large Variation in Atmospheric CO2 Concentration at Shangdianzi GAW Station during Two Dust Storm Events in March 2021. Atmosphere. 14(9):1348. 10.3390/atmos14091348
79. Hu, X.-M., Y. Huang, M. Xue, E. Martin, Y. Hong, M. Chen, H. M. Novoa, R. McPherson et al.(2023), Effects of lower troposphere vertical mixing on simulated clouds and precipitation over Amazon during the wet season. J. Geophys. Res.-Atmospheres, 10.1029/2023JD038553 .
78. Lin, G., Z. Wang, C. Ziegler, X.-M. Hu, M. Xue, B. Geerts, and Y. Chu, 2023: A comparison of convective storm inflow moisture variability between the Great Plains and the southeastern United States using multiplatform field campaign observations. J. Atmos. Ocean Tech., doi:10.1175/JTECH-D-22-0037.1
77. Hu, X.-M., J. Park, T. Supinie, N. Snook, M. Xue, K. Brewster, J. Brotzge, J. Carley (2023), Diagnosing Near-Surface Model Errors with Candidate Physics Parameterization Schemes for Multi-Physics Rapid Refresh Forecast System (RRFS) Ensemble during Winter over the Northeastern US and Southern Great Plains. Mon. Wea. Rev., doi:10.1175/MWR-D-22-0085.1.

2022:
76. Gao, L., Cai, C., & Hu X.-M. (2023), Air Quality Prediction Using Machine Learning, Machine Learning in Chemical Safety and Health: Fundamentals with Applications, doi:10.1002/9781119817512.ch11.
75. Chen M, Huang Y, Li Z, Larico AJM, Xue M, Hong Y, Hu X.-M., etc.(2022), Cross-Examining Precipitation Products by Rain Gauge, Remote Sensing, and WRF Simulations over a South American Region across the Pacific Coast and Andes, Atmosphere, doi:10.3390/atmos13101666.
74. Zhang, X.*, X. Xu, H. Chen, X.-M. Hu, and L. Gao (2022). Dust-planetary boundary layer interactions amplified by entrainment and advections. Atmospheric Research, 106359. 10.1016/j.atmosres.2022.106359
73. Supinie, T. A., Park, J., Snook, N., Hu, X.-M., Brewster, K. A., Xue, M., & Carley, J. R. (2022), Cool-Season Evaluation of FV3-LAM-Based CONUS-Scale Forecasts with Physics Configurations of Experimental RRFS Ensembles. Mon. Wea. Rev., doi:10.1175/MWR-D-21-0331.1
72. Qian, Y., Wang, H., Zhao, C., Zhao, C., Chen, S., Hu, X.-M., & Kang, S. (2022). Understanding Third Pole Atmospheric Dynamics and Land Surface Processes and Their Associations with the Cryosphere, Air Quality, and Climate Change. Advances in Atmospheric Sciences, 39(7), 1017-1020, 10.1007/s00376-022-2004-7; iap
71. Zhang, X.*, Cai, C., Hu, X.-M., Gao, L., Xu, X., Hu, J., & Chen, H. (2022). Aerosols consistently suppress the convective boundary layer development. Atmospheric Research, 106032. 10.1016/j.atmosres.2022.106032. top 10 PhD thesis selected by Chinese Meteorological Society .

2021:
70. Zhu, K., B. Yu, M. Xue, B. Zhou, & X.-M. Hu (2021). Summer Season Precipitation Biases in 4 km WRF Forecasts over Southern China: Diagnoses of the Causes of Biases. J. Geophy. Res., 10.1029/2021JD035530.
69. Cai, C., Nishimura, T., Hwang, J., Hu, X.-M., et al. (2021). Asbestos Detection with Fluorescence Microscopy Images and Deep Learning. Sensors, 10.3390/s21134582.
68. Hu, X.-M., et al. (2021). Multi-sensor and Multi-model Monitoring and Investigation of a Wintertime Air Pollution Event Ahead of a Cold Front over Eastern China. J. Geophys. Res.-Atmospheres, 10.1029/2020JD033538.
67. Hu, X.-M.,Gourdji, S. M., Davis, K. J., Wang, Q., Zhang, Y., Xue, M., . . . Crowell, S. M. R. (2021). Implementation of improved parameterization of terrestrial flux in WRF-VPRM improves the simulation of nighttime CO2 peaks and a daytime CO2 band ahead of a cold front. J. Geophys. Res.-Atmospheres, e2020JD034362. 10.1029/2020JD034362.
66. Dong, X., Yue, M., Jiang, Y., Hu, X.-M.,et al. (2021). Analysis of CO2 spatiotemporal variations in China using a weather-biosphere-online-coupled model. Atmos. Chem. Phys., 10.5194/acp-2020-1128.
65. Liu, C., Huang, J., Hu, X.-M., Hu, C., Wang, Y., Fang, X., . . . Xiao, H.-Y. (2021). Evaluation of WRF-Chem simulations on vertical profiles of PM2.5 with UAV observations during a haze pollution event. Atmospheric Environment, 118332. doi:10.1016/j.atmosenv.2021.118332
64. Hu, J.*, X.-M. Hu, L. Gao, C. Cai, T. Zhao, & X. Zhang (2021), Impacts of nocturnal cloud-top radiative cooling on surface O₃ in Sichuan Basin, southwestern China, Earth and Space Science, doi:10.1029/2020EA001541.
63. Wu, Z., Li, Y., Li, X., Hu, X.-M., Zhou, G., & Deng, C. (2021), Influence of Different Planetary Boundary Layer Parameterization Schemes on the Simulation of Precipitation Caused by Southwest China Vortex in Sichuan Basin Based on the WRF Model, Chinese Journal of Atmospheric Sciences,45(1): 58−72 doi:10.3878/j.issn.1006-9895.2005.19171.
62. Wang, J., and X.-M. Hu (2021), Evaluating the performance of WRF urban schemes and PBL schemes over Dallas Fort Worth during a dry summer and a wet summer, J. Appl. Meteor. Climatol., doi:10.1175/JAMC-D-19-0195.1.

2020:
61. Guo, J., X. Chen, T. Su, L. Liu, Y. Zheng, D. Chen, J. Li, H. Xu, Y. Lv, B. He, Y. Li, X.-M. Hu, A. Ding, and P. Zhai (2020), The climatology of lower tropospheric temperature inversions in China from radiosonde measurements: roles of black carbon, local meteorology, and large-scale subsidence, J. Climate, 10.1175/JCLI-D-19-0278.1.
60. Hu, X.-M., S. Crowell, et al. (2020), Dynamical Downscaling of CO₂ in 2016 over the contiguous United States using WRF-VPRM, a weather-biosphere-online-coupled model, J. Adv. Modeling Earth Systems, 10.1029/2019MS001875.
59. Li, X., Hu, X.-M., Cai, C. et al. (2020), Terrestrial CO₂ Fluxes, Concentrations, Sources and Budget in Northeast China: Observational and Modeling Studies, J. Geophys. Res.-Atmospheres, 10.1029/2019JD031686.
58. Li, X.-B., Peng, Z.-R., Lu, Q.-C., Wang, D., Hu, X.-M., et al. (2020). Evaluation of unmanned aerial system in measuring lower tropospheric ozone and fine aerosol particles using portable monitors. Atmospheric Environment, 117134. 10.1016/j.atmosenv.2019.117134.

2019:
57. 张凯, 赵天良, 曹乐, 胡小明, et al. (2019), 街道峡谷对近地层风场影响的观测和模拟分析. 环境科学学报, 39(12): 4187-4195.
56. Li, X., Hu, X.-M., et al. (2019), Spatiotemporal Variations and Regional Transport of Air Pollutants in Two Urban Agglomerations in Northeast China Plain. Chinese Geographical Science, 20(6), 917-933. doi:10.1007/s11769-019-1081-8
55. Hu, X.-M., M. Xue, and X. Li (2019), The Use of High-Resolution Sounding Data to Evaluate and Optimize NonLocal PBL Schemes for Simulating the Slightly Stable Upper Convective Boundary Layer. Mon. Wea. Rev., doi:10.1175/MWR-D-19-0085.1.
54. Li, X., Hu, X.-M., et al. (2019). Impact of planetary boundary layer structure on the formation and evolution of air-pollution episodes in Shenyang, Northeast China. Atmos. Environ., 116850. 10.1016/j.atmosenv.2019.116850 .
53. Dang, R., Yang, Y., Hu, X.-M., Wang, Z., & Zhang, S. (2019). A Review of Techniques for Diagnosing the Atmospheric Boundary Layer Height (ABLH) Using Aerosol Lidar Data. Remote Sensing, 11(13), 1590. doi:10.3390/rs11131590.
52. Zhang, X.^*, J. Huang, ... X.-M. Hu, X. Lee (2019), Improving lake-breeze simulation with WRF nested LES and lake-model over a large shallow lake, J. Appl. Meteor. Climatol., doi:10.1175/JAMC-D-18-0282.1.
51. Thomas, A., Huff, A., Hu, X.-M., & Zhang F. (2019), Quantifying Uncertainties of Ground-Level Ozone within WRF-Chem Simulations in the Mid-Atlantic Region of the United States as a Response to Variability, J. Adv. Modeling Earth Systems, doi:10.1029/2018MS001457.
50. Dang, R.^*, Yang, Y., Li, H., Hu, X.-M., Wang, Z., Huang, Z., . . . Zhang, T. (2019). Atmosphere Boundary Layer Height (ABLH) Determination under Multiple-Layer Conditions Using Micro-Pulse Lidar. Remote Sensing, 11(3), 263. doi:10.3390/rs11030263
49. Hu, X.-M., Xue, M., Kong, F., & Zhang, H. (2019), Meteorological Conditions during an Ozone Episode in Dallas-Fort Worth, Texas and Impact of their Modeling Uncertainties on Air Quality Prediction. J. Geophys. Res.-Atmospheres, doi:10.1029/2018JD029791 .
48. Liu, C.^*, E. Fedorovich, J. Huang, X.-M. Hu, Y. Wang, X. Lee (2019), Impact of aerosol shortwave radiative heating on the entrainment in atmospheric convective boundary layer: a large-eddy simulation study, J. Atmos. Sci., doi:10.1175/JAS-D-18-0107.1 .
47. Li, J., G. Wang, M. A. Mayes, S. D. Allison, S. D. Frey, Z. Shi, X.-M. Hu, Y. Luo, and J. M. Melillo (2019), Reduced carbon use efficiency and increased microbial turnover with soil warming, Global Change Biol, doi:10.1111/gcb.14517.
46. Yang, Y^*, X.-M. Hu, S. Gao, Y. Wang (2019), Sensitivity of WRF Simulations with the YSU PBL Scheme to the Lowest Model Level Height for a Sea Fog Event over the Yellow Sea, Atmospheric Research, doi:10.1016/j.atmosres.2018.09.004. news : UC San Diego; SDSC; newswise; XSEDE

2018:
45. Hu, J., Li, Y., Zhao, T., Liu, J., Hu, X.-M., Liu, D., . . . Chang, L. (2018), An important mechanism of regional O₃ transport for summer smog over the Yangtze River Delta in East China, Atmos. Chem. Phys., doi:10.5194/acp-18-16239-2018.
44. Liu, C.^*, J. Huang, E. Fedorovich, X.-M. Hu, Y. Wang, X. Lee (2018), The effect of aerosol radiative heating on turbulence statistics and spectra in the atmospheric convective boundary layer: a large-eddy simulation study, Atmosphere, 9, 347, doi:10.3390/atmos9090347.
43. Zhu, J., Kong, F., Hu, X.-M., Guo, Y., Ran, L., & Lei, H. (2018) Impact of Soil Moisture Uncertainty on Summertime Short-range Ensemble Forecasts. Adv. Atmos. Sci., 839–852. doi: 10.1007/s00376-017-7107-1
42. Li, X.-B.^*, Wang, D., Lu, Q.-C., Peng, Z.-R., Fu, Q., Hu, X.-M., . . . Wang, H. (2018). Three-dimensional analysis of ozone and PM_2.5 distributions obtained by observations of tethered balloon and unmanned aerial vehicle in Shanghai, China. Stochastic Environmental Research and Risk Assessment. 10.1007/s00477-018-1524-2
41. Hu, X.-M., M. Xue, R. A. McPherson, E. Martin, D. H. Rosendahl, and L. Qiao (2018), Precipitation dynamical downscaling over the Great Plains, J. Adv. Modeling Earth Systems,10.1002/2017MS001154

2017:
40. Hu, X.-M., M. Xue, and R. A. McPherson (2017), The Importance of Soil-Type Contrast in Modulating August Precipitation Distribution near the Edwards Plateau and Balcones Escarpment in Texas, J. Geophys. Res., doi:10.1002/2017JD027035 .
39. Li, H.^*, Y. Yang, X.-M. Hu, Z. Huang, G. Wang, and B. Zhang (2017), Application of Convective Condensation Level Limiter in Convective Boundary Layer Height Retrieval Based on Lidar Data, Atmosphere, 8(4), 79; doi:10.3390/atmos8040079.
38. Li, H.^*, Y. Yang, X.-M. Hu, Z. Huang, G. Wang, B. Zhang, and T. Zhang (2017), Evaluation of retrieval methods of daytime convective boundary layer height based on Lidar data, J. Geophys. Res. Atmos., 122, doi:10.1002/2016JD025620.

2016:
37. Sun, X., M. Xue, J. Brotzge, R. McPherson, X.-M. Hu, and X.Q. Yang (2016), An Evaluation of Dynamical Downscaling of Central Plains Summer Precipitation using a WRF-Based Regional Climate Model at a Convection-Permitting 4 km Resolution, J. Geophy. Res., DOI:10.1002/2016JD024796.
36. Hu, X.-M., J. Fuentes, R. Forkel, J. Huang, and N. Zhang (2016), Editorial Advances in Boundary-Layer/Air Pollution Meteorology, Advances in Meteorology, DOI:10.1155/2016/2825019
35. Hu, X.-M., X. Li et al. (2016), The Formation of Barrier Winds East of the Loess Plateau and their Effects on Dispersion Conditions in the North China Plains, Bound.-layer meteor., DOI:10.1007/s10546-016-0159-4
34. Chen, S., A. Behrangi, Y. Tian, J. Hu, Y. Hong, Q. Tang, X.-M. Hu, et al.(2016), Precipitation Spectra Analysis Over China With High-Resolution Measurements From Optimally-Merged Satellite/Gauge Observations—Part II: Diurnal Variability Analysis, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, doi: 10.1109/JSTARS.2016.2529001.
33. Hu, X.-M., and M. Xue (2016), Influence of synoptic sea breeze fronts on the urban heat island intensity in Dallas-Fort Worth, Texas, Mon. Wea. Rev., doi:10.1175/MWR-D-15-0201.1.
32. Klein, P., X.-M. Hu, A. Shapiro, M. Xue (2016), Linkages between Boundary-Layer Structure and the Development of Nocturnal Low-Level Jets in Central Oklahoma, Bound.-layer meteor., DOI:10.1007/s10546-015-0097-6.
31. Hu, X.-M., M. Xue, et al. (2016), Analysis of Urban Effects in Oklahoma City using a Dense Surface Observing Network, J. Appl. Meteor. Climatol., doi:10.1175/JAMC-D-15-0206.1 .

2015:
30. Miao, Y.^*, X.-M. Hu, et al. (2015), Seasonal variation of local atmospheric circulations and boundary layer structure in the Beijing-Tianjin-Hebei region and implications for air quality, J. Adv. Model. Earth Syst., DOI:10.1002/2015MS000522.
29. Ma, Y.^*, Y. Yang, X.-M. Hu (2015), Characteristics and Mechanisms of Sudden Warming Events in the Nocturnal Atmospheric Boundary Layer: A Case Study Using WRF, J. Meteor. Res., doi: 10.1007/s13351-015-4101-3.
28. Zhang, H., Y. Wang, J. Hu, Q. Ying, X.-M. Hu (2015), Relationships between meteorological parameters and criteria air pollutants in three megacities in China, Environmental Research, 10.1016/j.envres.2015.04.004 pdf
27. Chen, S., J. Zhang, E. Mullens, Y. Hong, A. Behrangi, Y. Tian, X.-M. Hu, et al. (2015), Mapping the Precipitation Type Distribution Over the Contiguous United States Using NOAA/NSSL National Multi-Sensor Mosaic QPE, Geoscience and Remote Sensing, IEEE Transactions on, 53(8), 4434-4443 10.1109/TGRS.2015.2399015
26. Hu, X.-M. (2015), Air Pollution Meteorology, in Encyclopedia of Atmospheric Sciences (Second Edition), edited by G.R. North, J. Pyle, and F. Zhang, pp. 227-236, Academic Press, Oxford. DOI: 10.1016/B978-0-12-382225-3.00499-0
25. Doughty, D. C., J. D. Fuentes, R. Sakai, X.-M. Hu, and K. J. Sanchez (2015), Nocturnal isoprene declines in a semi-urban environment, J. Atmos. Chem., DOI:10.1007/s10874-012-9247-0.
24. Hu, X.-M., J. D. Fuentes, D. Toohey, and D. Wang (2015), Chemical processing within and above a Loblolly pine forest in North Carolina, USA, J. of Atmos. Chem., DOI: 10.1007/s10874-013-9276-3.

2014:
23. Hu, X.-M., et al. (2014), Impact of the Loess Plateau on the Atmospheric Boundary Layer Structure and Air Quality in the North China Plain: A Case Study, Science of the Total Environment, 10.1016/j.scitotenv.2014.08.053
22. Klein, P. M., X.-M. Hu, M. Xue (2014), Mixing processes in the nocturnal atmospheric boundary layer and their impacts on urban ozone concentrations, Bound.-layer meteor., doi:10.1007/s10546-013-9864-4.
21. Zhang, M., Y. Qi, and X.-M. Hu (2014), Impact of East Asian Winter Monsoon on Pacific Storm Track, Meteorological Applications, DOI: 10.1002/met.1423.

2013:
20. Hu, X.-M., P. M. Klein, and M. Xue (2013), Evaluation of the updated YSU Planetary Boundary Layer Scheme within WRF for Wind Resource and Air Quality Assessments, J. Geophys. Res., 118, doi:10.1002/jgrd.50823.
19. Qi, Y., J. Zhang, Q. Cao, Y. Hong, and X.-M. Hu (2013), Correction of Radar QPE Errors for Nonuniform VPRs in Mesoscale Convective Systems Using TRMM Observations, J. Hydrometeor, 14, 1672–1682.
18. Tiwary,A., A.Namdeo, J. Fuentes, A. Dore, X.-M. Hu, M. Bell (2013), Systems scale assessment of the sustainability implications of emerging green initiatives, Environ. Pollution, 183, 213–223.
17. Hu, X.-M., P. M. Klein, M. Xue, J. K. Lundquist, F. Zhang, and Y. Qi (2013), Impact of low-level jets on the nocturnal urban heat island intensity in Oklahoma City. J. Appl. Meteor. Climatol., doi: 10.1175/JAMC-D-12-0256.1.
16. Hu, X.-M., P. M. Klein, M. Xue, A. Shapiro, and A. Nallapareddy (2013), Enhanced vertical mixing associated with a nocturnal cold front passage and its impact on near-surface temperature and ozone concentration, J. Geophys. Res., 118, 2714– 2728.
15. Hu, X.-M., P. Klein , M. Xue, F. Zhang, D. Doughty, R. Forkel, E. Joseph, and J. D. Fuentes (2013), Impact of the Vertical Mixing Induced by Low-level Jets on Boundary Layer Ozone Concentration, Atmos. Environ., 70, 123-130

2012:
14. Hu, X.-M., D. Doughty, K.J. Sanchez, E. Joseph, and J. D. Fuentes (2012), Ozone variability in the atmospheric boundary layer in Maryland and its implications for vertical transport model, Atmos. Environ.,46,354-364.

2011:
13.  Evans, J.L., J.D. Fuentes, X.-M. Hu, and H. Hamilton (2011), Earth-Atmosphere interactions: Tropical storm and hurricane activity in the Caribbean and their consequent health impacts. J. Race and Policy, 7(1),53-74.
12.  Hu, X.-M.,F. Zhang, G. Yu, J.D. Fuentes, and L. Wu (2011), Contribution of mixed-phase boundary layer clouds to the termination of ozone depletion events in the Arctic. Geophys. Res. Lett., 38, L21801, doi:10.1029/2011GL049229.

2010:
11.  Hu, X.-M., J. M. Sigler, J. D. Fuentes (2010), Variability of ozone in the marine boundary layer of the equatorial Pacific Ocean , J. Atmos. Chem., 66:117–136. 10.1007/s10874-011-9196-z
10.  Hu, X.-M., J. D. Fuentes, and F. Zhang (2010), Downward transport and modification of tropospheric ozone through moist convection.J. Atmos. Chem., 65:13–35. 10.1007/s10874-010-9179-5
9.  Hu, X.-M., J. W. Nielsen-Gammon, and F. Zhang (2010), Evaluation of Three Planetary Boundary Layer Schemes in the WRF Model, J. Appl. Meteor. Climatol.,49, 1831–1844. ♥top 1% in Geosciences
8.  Nielsen-Gammon, J. W., X.-M. Hu, F. Zhang, and J. E. Pleim (2010), Evaluation of Planetary Boundary Layer Scheme Sensitivities for the Purpose of Parameter Estimation, Mon. Wea. Rev., 138, 3400–3417.
7.  Hu, X.-M. ,  F. Zhang, and J. W. Nielsen-Gammon (2010), Ensemble-based simultaneous state and parameter estimation for treatment of mesoscale model error: A real-data study, Geophys. Res. Lett., 37, L08802, doi:10.1029/2010GL043017.

2008:
6.  Zhang, Y., X.-M. Hu, L. R. Leung, and W. I. Gustafson Jr., 2008, Impacts of Regional Climate Changes on Biogenic Emissions and Air Quality, J. Geophys. Res., 113, D18310, doi:10.1029/2008JD009965.
5.  Hu, X.-M., Y. Zhang, M.Z. Jacobson, and C.K. Chan, 2008, Coupling and Evaluating Gas/Particle Mass Transfer Treatments for Aerosol Simulation and Forecast, J. Geophys. Res., 113, D11208, doi:10.1029/2007JD009588.

2005:
4.  Hu, X.-M., and S. Liu, 2005, Numerical Simulation of Land Surface Process and Atmosphere Boundary Layer Structure over Hill underlying surface. J. of Applied Meteorological Science, 16(1), 13-23.
3.  Hu, X.-M., S. Liu, Y. Wang, and J. Li, 2005, Numerical Simulation of Wind Field and Temperature Field Over Beijing Area in summer, Acta Meteorologica Sinica, 19(1), 120-127.
2.  Hu, X.-M., S. Liu, F. Liang, J. Wang, H. Liu, Y. Wang, and J. Li, 2005, Observational study of wind fields, temperature fields over Beijing area in summer and winter, Acta Sci. Natur. Uni. Pek.,s, 41(3), 399-407.
1.  Hu, X.-M., S. Liu, F. Liang, J. Wang, H. Liu, Y. Wang, and J. Li, 2005, Numerical Simulation of Features of Boundary-Layer Over Beijing Area, Acta Sci. Natur. Uni. Pek.,s, 41(4), 514-522.

Talks:
59 Observation and simulation of CH4 to identify sources, LanZhou summer school, Jul., 2024, LinLi 1st high school Chinese Academy of Science
58 The impact of turbulence, clouds, and dynamic processes on precipitation, air quality, & GHGs, NanJing, Jul., 2024
57 The impact of turbulence, clouds, and dynamic processes on precipitation and air quality over South America, Zhuhai, Jul., 2024
56 Pampa CH4 experiment to test Licor 7810 and WRF-GHG forecasting, DOE_AOI4 half day Outcomes Workshop, May 16, 2024
55 Urban Heat Islands over the Southern Great Plains, GEOG/METR 4970/5970-004 Urban Climatology, Feb 21 3:30pm, 2023; Mar. 12, 2024
54 The interaction between precipitation, clouds, turbulence, and dynamic processes over South America, Beijing, Nov, 2023
53 Regional scale simulation and inversion of GHGs, Changsha, Nov, 2023
52 Addressing Greenhouse Gas Emission Challenges: Sensing, Observation, and Modeling for Sustainable Communities, IREES OU-UPM Meeting, Jul 11, 2023 .
51 Modeling of Environmental Pollutants and Green House Gases, OU HSC seminar, Apr 27, 2023, poster
50 The interaction between precipitation, clouds, turbulence, and dynamic processes over South America under current and future climate scenarios, Latin America Sustainability Initiative (LASI) seminar, Mar 24, 2023, video
48 Diagnosing Near-Surface Model Errors with FV3-LAM Physics Schemes for Multi-Physics RRFS Ensemble , CIWRO Workshop on Forecast Applications Improvements, Sept 30, 2022
47 Regional scale simulation and inversion of GHGs, 上海环科院, Sept 9, 2022
46 CO2 and CH4 simulation and inversion using WRF-GHG, GeoCarb group meeting, Sept 6, 2022
45 Diagnosing Near-Surface Model Errors with FV3-LAM Physics Schemes for Multi-Physics RRFS Ensemble , RRFS Developers Meeting, Aug 23, 2022
44 Diagnosing Near-Surface Model Errors with Candidate Physics Parameterization Schemes for Multi-Physics Rapid Refresh Forecasting System (RRFS) , NCAR Telecon, Jun 29, 2022
43 urban and ecosystem modeling, IREES + CFE: Ideating, Dec 8, 2021
42 Three modes of cloud-boundary layer coupling over the Southern Ocean: Performance of conventional and mass-flux PBL schemes , virtual workshop on high-latitude clouds, Sept 9, 2021
41 Latest Modeling of Pollutants and CO₂, Lecture at data assimilation class, Apr 14, 2021
40 Modeling of Pollutants and CO₂, Lecture at OEH 6683 Applied Modeling, November 3, 2020 video
39 ACT-America Community Workshop: Examine CO2 bands along cold fronts observed during ACT-America using WRF-VPRM; 27 - 30 April, 2020
38 NJU-OU symposium: Terrestrial CO₂ fluxes, concentrations, and budgets in USA and Northeast China; NJU, July 15-17, 2019
37 PBL Training Lectures: Boundary layer structure and processes; CAPS, PBL schemes, CAPS, Academy of Environmental Sciences, Jun 28; XinJiang, Jul 1-4, 2019
36 CO₂_US_China: 1hr Version, onCirrus, PKU, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Jun 20; ShenZhen, Jun 21, 2019
35 Simulation/prediction of Air Quality in tþe Southern Great Plains,Oklahoma Dept. Environ. Quality, Feb. 19, 2019; Feb. 22, BUL
34 CO2 Dynamical Downscaling in 2016 over CONUS using WRF-VPRM,LaRC ACT-America project meeting, Jul 11, 2018
33 The Role of the Edwards Plateau and Balcones Escarpment in Texas in Modulating August Precipitation , Chongqing Meteorological Administration, Photo , ShenZhen , Jan 2018
32 Impact of Mountainous Terrain on Precipitation , HuNan Meteorological Administration, LanZhou, QingDao, June 2017
31 SIMULATE CO2 USING WRF/CHEM-VPRM , HuNan
30 Model Development to Investigate Boundary layer processes and Air Quality , GuangZhou, NUIST, ShangHai, QingDao, ShenYang, Beijing 2017, Shanghai, Jan 2018
29 Boundary layer processes and their impacts on Urban Heat Island & Air Quality, TianJin, NUIST annual meeting
28 Meteorological Conditions during an O3 Episode in DFW and Impact of their Model Uncertainties on Air Quality Prediction, ACT-America project meeting, Oct 12, 2016 photo
27 Formation of barrier winds east of the Loess Plateau and their impact on air quality in the North China Plain, OU-NJU Symposium, Aug 16, 2016 photo
26 Sea breeze, urban heat island, & air quality ensemble forecasting, Aug 12, 2016, Shenzhen Meteorological Bureau; Aug 17, NNU ; photo1 ; photo2 ; photo3
25 impact of Loess Plateau on air Quaility in the NCP, Aug 4, 2016, OUC; Aug 5, ChangSha; Aug 11, GuangZhou; Aug 23, Beijing ; photo
24 Sea breeze fronts, urban heat island, & air quality in Dallas, Feb 3, 2016, CAPS science meeting
23 Importance of PBL schemes in simulating boundary layer processes, e.g., urban heat island, sea breeze, July, 2015 CAMS
22 Impact of Sea Breeze on the Urban Heat Island & air quality in Dallas, July, 2015 ChangSha; LanZhouUniv; OceanUniv
21 Influence of Synoptic Sea Breeze Fronts on the Urban Heat Island Intensity in Dallas, Texas, OU-NJU Symposium, May 11-12, 2015
20 Simulated and observed urban effects using WRF, a surface network, and satellites, JPL, Sept. 4, 2014 abstract; Photo1; 2
19 Guest lecture: Criteria pollutants, METR 4653 AIR POLLUTION METEOROLOGY AND MODELING, Feb. 3, 2014
18 Importance of PBL schemes for wind resource and air quality assessments, Chinese academy of meteo sciences, 27 Nov, 2013
17 WRF/Chem forecasting, HuNan, 22 Nov, 2013 caps
16 Nocturnal UHI,LLJ, and O3 in Oklahoma, BeiJing Univ., 20 Nov, 2013 caps
15 Model capability to reproduce UHI, UEP, 19 Nov, 2013 caps
14 Phenomena in the nocturnal boundary layer in Oklahoma, LanZhou Univ., 14 Nov, 2013 caps; Photo1;Photo2
13 Nocturnal UHI and BL in Oklahoma, NanJing Univ., 12 Nov, 2013 caps, news
12 Evaluation of Planetary Boundary Layer Schemes within WRF for Wind Resource and Air Quality Assessments, BUL series seminar, 20 Sept., 2013 abstract
11 Impact of mesoscale processes on urban heat islands in the Great Plains, CAPS science meeting, Mar. 29, 2013
10 Impact of meteorological phenomena on air quality; XHu's Research Ideas; UHI and O3 in the upside-down boundary layer,colloquium, Mar. 6, 2013
9 UHI and O3 in the upside-down boundary layer, BUL seminar, OU, Feb. 8, 2013 abstract
8 Simulation of O3 in Oklahoma, Oklahoma Dept. Environ. Quality, Dec. 11, 2012
7 LLJs and the implications for boundary layer meteorology, HuNan Meteorological Administration, Oct. 31, 2012 caps Photo1 ; Photo2
6 Vertical mixing induced by LLJs, observations and simulations, Chinese Academy of Meteorological Sciences, Oct. 29, 2012 caps
5 Vertical mixing air quality, Peking Univ., Oct. 26, 2012 caps
4 Vertical mixing in the atmospheric boundary layer, part 2, LanZhou Univ., Oct. 24, 2012 caps
3 Vertical mixing in the atmospheric boundary layer, part 1, LanZhou Univ., Oct. 24, 2012 caps
2 Boundary layer ozone variability and vertical mixing, CAPS science meeting, Feb. 24, 2012
1 Uncertainties in planetary boundary layer schemes and current status of urban boundary layer simulations at OU, BUL seminar, Sept. 16, 2011abstract

Conferences:
Hu X.-M.(2024), Mobile CH4 measurement and inversion & an interactive visualization platform, 21 Aug, Closing the Gap: Strategies for Effective Methane Emissions Reduction Symposium, OU
Hu X.-M.(2024), Observation and simulation of methane (CH4) plumes during the morning boundary layer transition, 21 Aug, Closing the Gap: Strategies for Effective Methane Emissions Reduction Symposium, OU
Wang Q., Hu X.-M. et al. (2024), Local Methane (CH₄) Dynamics at the SGP ARM Site: Meteorological Influences and Source Attribution, 21 Aug, Closing the Gap: Strategies for Effective Methane Emissions Reduction Symposium, OU
Hu X.-M.(2024), Session Chair, Physical Processes And Their Parameterizations In Atmospheric Numerical Model, 27 Jun, Meadow Hall, Alpensia Convention Center
Hu X.-M.(2024) Effects of Lower Troposphere Vertical Mixing on Simulated Clouds and Precipitation Over the Amazon During the Wet Season, 11:00, 26 Jun (Wed), Meeting Room, InterContinental, abstract
Hu X.-M.(2024) Mountain-facilitated Downward Transport of Volcano Plumes Exacerbates Air Pollution Over Arequipa, Peru, 14:00, 27 Jun, Meadow Hall, Alpensia Convention Center, abstract
Huang, Y., M. Xue, X.-M. Hu, et al. (2023) Projected Changes in Precipitation and Mesoscale-Convective Systems over the Peruvian Central Andes from Convection-Permitting Regional Climate Simulations, AGU23, 12 December
Chen, M., Y. Huang, J. Zhang, M. Xue, Y. Hong, X.-M. Hu, et al. (2023) Future Flood, Drought, and Ice Cap Degradation of Arequipa Region, Peru: A Hydrological Modeling Study Driven by CMIP6 and 3-km Regional Climate Simulations, AGU23, 14 December
Snook,N., M. Xue, J. Park,X.-M. Hu,M. R. Johnson, K. A. Brewster (2023) Evaluation of Real-time Convection-Allowing FV3 Ensemble Forecasts from the 2022 HWT Spring Forecasting Experiment to Inform RRFS Ensemble Design, AMS 32nd Conference on Weather Analysis and Forecasting (WAF)/28th Conference on Numerical Weather Prediction (NWP)/20th Conference on Mesoscale Processes, July 20.
Xue,M., T. A. Supinie, J. Park, N. A. Snook, X.-M. Hu, K. A. Brewster, C. R. Alexander, and J. R. Carley (2023) Design and Evaluation of Prototype Ensembles Targeting the Operational Rapid Refresh Forecasting System (RRFS) Ensemble through Realtime Testing during 2022 HWT Spring and HMT Summer Forecast Experiments, AMS meeting, Jan 9
Jester,S., S. Crowell, X.-M. Hu, Q. Wang, X. Wang, and J. C. Furtado (2023) Constraint of Vegetation Photosynthesis and Respiration Model (VPRM) Parameters Using a Markov Chain Monte Carlo (MCMC) Technique, AMS meeting, Jan 10
Spicer,E., S. Crowell, F. Xu, N. Krishnakutty, X.-M. Hu et al. (2023) Urban and Industrial Carbon-Based Pollutant Monitoring Using EM27/SUNs in Houston, Texas During the Summer 2022 GeoCarb-TRACER Campaign, AMS meeting, Jan 10
LIN, G., Z. Wang, C. L. Ziegler, X.-M. Hu, M. Xue, B. Geerts, and Y. Chu (2023) A Comparison of Convective Storm Inflow Moisture Variability Between the Great Plains and the Southeastern United States Using Multiplatform Field Campaign Observations, AMS meeting, Jan 10
Wang, Q., S. Crowell, P. M. Klein, and X.-M. Hu (2023) Noah-MP Parameter Optimization at Southern Great Plains Using Bayesian Optimization, AMS meeting, Jan 9
Krishnankutty, N, S. Crowell, Hu, X.-M., and P. Somkuti (2022) North American Methane enhancements as seen by TROPOMI; Model-data comparison and validation with TCCON observations , AGU fall meeting , Dec 15, poster presentation
Wang, Q., S. Crowell, P. Klein and Hu, X.-M. (2022) Noah-MP Parameter Optimization at Southern Great Plains Using Bayesian Optimization, AGU fall meeting , Dec 13, poster presentation
Huang, Y, M. Xue, Hu, X.-M. et al. (2022) Characteristics of Precipitation and MCS over the Peruvian Central Andes based on Convection-Permitting Simulations , AGU fall meeting , Dec 16, oral presentation
Supinie, T. A., Park, J., ..., Hu, X.-M. et al. (2022) Evaluation of CAPS Deterministic and Ensemble Forecasts During the 2022 HWT Spring Forecast Experiment Targeting an Optimal Design of the RRFS Ensemble , AMS Severe Local Storms Meeting, Oct 27, poster
Hu, X.-M. et al. (2022) Impact of 2019 mid-west flood on CO2 and CH4 using yearly WRF-GHG simulations over the contiguous United States , Inaugural GeoCarb Science Meeting , May 10-11, Photo
Jester, S., Crowell S., Hu, X.-M. et al. (2022) Exploration of VPRM Parameterization Using CO2 Source-Receptor Relationships, AMS annual Meeting, January 24, abstract
Hu, X.-M. et al. (2022) Evaluating Candidate Physics Parameterization Schemes for Multi-Physics Rapid Refresh Forecasting System (RRFS) Ensemble: Testing for Winter Weather of 2020-2021, AMS annual Meeting, January 25, abstract
Hu, X.-M. et al. (2021) Impact of 2019 mid-west flood on CO₂ and CH₄ using yearly WRF-GHG simulations over the contiguous United States, AGU Fall Meeting, 4pm 13 Dec, abstract, poster
Wang, P, Z. Xue, Hu, X.-M. et al. (2021) Assess the Performance of WRF-VPRM in the North America Coastal Ocean with Impact from a River-Dominated Shelf System, AGU Fall Meeting, 4pm 15 Dec, abstract, poster
Hu, X.-M. et al. (2021) Three Modes of Cloud-Boundary Layer Coupling over the Southern Ocean: Performance of Conventional and Mass-flux PBL Schemes, AGU Fall Meeting, 4pm 16 Dec, abstract, poster
Chen, M., Y. Huange, Hu, X.-M. et al. (2021) The water resources and extremes outlooks of Peru: an WRF and CREST study over a less frequently monitored area in South America, AGU Fall Meeting, 4pm 16 Dec, abstract, poster
Huang, Y, M. Xue, Hu, X.-M. et al. (2021) Convection-Permitting Regional Climate Simulations over South America and the Peruvian Central Andes: Evaluation of Precipitation and MCS Simulations and Sensitivity to Physics Parameterizations, AGU Fall Meeting, 4pm 17 Dec, abstract, poster
McFarquhar, G, Q. Niu, Hu, X.-M. et al. (2021) Aerosol & Meteorological Influences on Boundary Clouds at High Latitudes: Results from MARCUS & COMBLE, DOE ARM/ASR PI Meeting, June 21-24, abstract, poster
Hu, X.-M. (2021) Multisensor and Multimodel Monitoring and Investigation of Air Pollution, Workshop of Pilot Design for Air Quality in Africa, June 8-11
Hu, X.-M., S. Gourdji, et al. (2021) Improving WRF-VPRM terrestrial respiration parameterization to reproduce nighttime CO2 peaks and daytime CO2 band ahead of cold fronts, the 101th AMS Annual Meeting, Jan. 12
Wang, Q, S. Crowell, X.-M. Hu, P. Klein (2021), Local Greenhouse Gases (GHGs) mixing evaluation with single-column WRF-VPRM, the 101th AMS Annual Meeting, Jan. 12
Zhang, X.Y., C. Cai, X.-M. Hu, L. Gao (2020), Impacts of Aerosol Vertical Distribution and Single Scattering Albedo on Planetary Boundary Layer Structure: WRF SCM simulations, AGU Fall Meeting, Dec. 9
Wang, Q, S. Crowell, X.-M. Hu, K. Davis (2020), Evaluation of Online and Offline Regional Modeled CO₂ Transport with INFLUX Observations, the 100th AMS Annual Meeting, Jan. 13, Boston, poster
Hu, X.-M., M. Xue (2019) Evaluation and Optimization of Scale-Aware PBL Schemes for the Prediction of the Boundary Layer and Impacts on Simulated Tornadic Storms, VORTEX-SE workshop, September 12-13, Huntsville, AL
Li, XL, X.-M. Hu (2019) Impact of Planetary Boundary Layer Structure on the Formation and Evolution of Air Pollution Episodes in Shenyang, Northeast China, AMS 18th Conference on Mesoscale Processes, July 30, Savannah, GA
Hu et al. (2019), impact of Hrricanes on O3,poster Jul 10; PBL improvement, Jul 11, 9am; PBL improvement, 1hr version, Jun 28; CO2, Jul 12, 3pm; COAA, NanJing
Hu et al. (2019), CO₂ Dynamical Downscaling in 2016 over the Contiguous United States Using WRF-VPRM, a Weather-Biosphere-Online-Coupled Model, the 99th AMS Annual Meeting, 7 Jan. 2019, Phoenix, AZ
Crowell, Wang, and X.-M. Hu (2019), Frontal Gradients in CO₂ as Seen from OCO-2, the 99th AMS Annual Meeting, 7 Jan. 2019, Phoenix, AZ
Hu et al. (2018), CO₂ Dynamical Downscaling in 2016 over the Contiguous United States Using WRF-VPRM, a Weather-Biosphere-Online-Coupled Model, AGU’s Fall Meeting 2018, 13 Dec., Washington, D.C. poster
Hu et al. (2018), Boundary Layer and Air Quality Research at CAPS, NWC Open House and Reception during AMS Boundary Layers and Turbulence Conference,June, 12 pdf
Hu et al. (2018), The Role of the Edwards Plateau and Balcones Escarpment in Texas in Modulating August Precipitation Distribution: The Importance of Soil Type Contrast AMS, Austin, Jan. 9 pdf
Hu et al. (2018), Evaluation of WRF-VPRM CO2 Dynamical Downscaling over the Contiguous United States using the ACT-America Data AMS, Austin, Jan. 11 pdf
Liu, C., J. Huang, E. Fedorovich, X.-M. Hu, Y. Wang, X. Lee (2018), Impact of Aerosol Shortwave Radiative Heating on Entrainment in the Atmospheric Boundary Layer AMS, Austin, Jan. 10
Hu et al. (2016), Impact of synoptic sea breeze fronts on the urban heat island intensity in Dallas-Fort Worth, Texas COAA, Beijing July 30
Hu et al. (2016), The dynamic effects of the Loess Plateau and their impact on air quality in the North China Plain COAA, Beijing July 29
Hu et al. (2016), Ensemble Air Quality Prediction at Convection-Resolving Resolutions for the Continental United States AMS, poster

Links:
http://www.caps.ou.edu/micronet/
WRF_1D; XSEDE_Allocation;
WRF-UCM
ARM
OKCmicronet
BeijingO3, NCP, BTH, Sounding over both China & U.S.
PBLcomparison2011Spring; VORTEX_SE; SouthernOcean;
RL_resevior_in_question, CELTIC2003, and book chapter
celtic Penn State; Florida Precip Penn State; Brazil/Peru ; JenniHurricanes; Jose_Kerri_Arctic_Model;
Nicole_O3
NocturnalWarmingEvents
forAbhi_England
Regional ClimatePSU; OU
Beltsville on PSU micromet;Beltsville profiles
Qi ; YYC_QTT_SiChuanDownscaling
CFD
HurricaneImpactonO3, 2011DFW ; Ensemble_demonstration, 2011CONUS ; CO2_and_otherGHG
WRF_Forecasting_V4.5.2 (V4.3.3) ; WRF_Forecasting_V4.5.2 Houston (V4.3.3) ; WRF_GHG_ForecastingV4.5.2 (V4.3.3) ; WRF_GHG_Forecasting_China4.5.2 (V4.3.3) ; WRF_GHG_Forecasting_OK (Pampa, SGPARM, NYcity, V4.3.3)
AirQualityMonitoring
Literature Review; group meeting
ToastMasters speeches

Resources: