Year 2024
103. Lin, T.-S., C. He, R. Abolafia-Rosenzweig, F. Chen, W. Wang, M. Barlage, and D. Gochis (2024): Improved snow albedo evolution in Noah-MP land surface model coupled with a physical snowpack radiative transfer scheme, Journal of Hydrometeorology, in press
102. Parajuli, S., T. Biggs, F. Sales, M. Zavala, C. He, C. Jones, C. Thompson, N. Galvez, H. Ciborowski, T. Quintino, and C. Di Napoli (2024): Impact of irrigation on farmworker’s heat stress in California differs by season and during the day and night, Communications Earth & Environment, in press.
101. Xue L., Q.-V. Doan, H. Kusaka, C. He, and F. Chen (2024): Land-Surface-Physics-Based Downscaling versus Conventional Dynamical Downscaling for High-Resolution Urban Climate Change Information: The Case Study of Two Cities, Urban Climate, in press.
100. Dai, D., Y. Li, L. Chen, F. Chen, Z. Li, Z. Zhang, P. Valayamkunnath, L. Xu, C. He, and Z. Ma (2024): Automated calibration of Noah-MP land surface model for improved irrigation representation in the North China Plain, Journal of Hydrology, https://doi.org/10.1016/j.jhydrol.2024.132362, in press.
99. Zhang, Z., C. He, F. Chen, G. Miguez-Macho, C. Liu, and R. Rasmussen (2024): US Corn Belt enhances regional precipitation recycling, PNAS, in press
98. Abolafia-Rosenzweig, R., D. Gochis, A. Schwarz, T. H. Painter, J. Deems, A. Dugger, M. Casali, and C. He (2024): Quantifying the Impacts of Fire‐Related Perturbations in WRF‐Hydro Terrestrial Water Budget Simulations in California's Feather River Basin, Hydrological Processes, https://doi.org/10.1002/hyp.15314
97. Di Santo, D., C. He, F. Chen, and L. Giovannini (2024): ML-AMPSIT: Machine Learning-based Automated Multi-method Parameter Sensitivity and Importance analysis Tool, Geosci. Model Dev., in press
96. Kamath, H., M. Singh, N. Malviya, A. Martilli, L. He, D. Aliaga, C. He, F. Chen, L. Magruder, Z.-L. Yang, and D. Niyogi (2024): GLObal Building heights for Urban Studies (UT-GLOBUS) for city- and street- scale urban simulations, Scientific Data, in press
95. Gul, C., C. He, S. Kang, Y. Xu, X. Wu, I. Koch, J. Barker, R. Kumar, R. Ullah, S. Faisal, and P. S. Puppala (2024): Measured black carbon deposition over the central Himalayan glaciers: concentrations in surface snow and impact on snow albedo reduction, Atmospheric Pollution Research, 15 (9), 102203, 2024, https://doi.org/10.1016/j.apr.2024.102203
94. Xue, L., Q.-V. Doan, H. Kusaka, C. He, and F. Chen (2024): Insights into Urban Heat Island and Heat Waves Synergies Revealed by a Land-Surface-Physics-Based Downscaling Method, JGR-Atmos, 129, e2023JD040531. https://doi.org/10.1029/ 2023JD040531
93. Abolafia-Rosenzweig, R., C. He, F. Chen, Y. Zhang, A. Dugger, B. Livneh, and D. Gochis (2024): Evaluating Noah-MP simulated runoff and snowpack in heavily burned Pacific-Northwest snow-dominated catchments, JGR-Atmos, 129, e2023JD039780. https://doi.org/10.1029/2023JD039780
92. Tang, W., C. He, L. Emmons, and J. Zhang (2024): Global Expansion of Wildland-Urban Interface (WUI) and WUI fires: Insights from a Multiyear Worldwide Unified Database (WUWUI), Environmental Research Letters, 19, 044028, doi:10.1088/1748-9326/ad31da
91. Li, C., C. Zhang, S. Kang, Y. Xu, F. Yan, Y. Liu, M. Rai, H. Zhang, P. Chen, P. Wang, C. He, S. Wang (2024): Weak transport of atmospheric water-insoluble particulate carbon from South Asia to the inner Tibetan Plateau in the monsoon season, Science of the Total Environment, 922, 171321, https://doi.org/10.1016/j.scitotenv.2024.171321
90. Abolafia-Rosenzweig, R., C. He, F. Chen, and M. Barlage (2024), Evaluating and enhancing snow compaction process in the Noah-MP land surface model, Journal of Advances in Modeling Earth Systems, 6, e2023MS003869, https://doi.org/10.1029/2023MS003869
89. He, C., R. Kumar, W. Tang, G. Pfister, Y. Xu, Y. Qian, and G. Brasseur (2024): Air pollution interactions with weather and climate extremes: current knowledge, gaps, and future directions, Current Pollution Reports, https://doi.org/10.1007/s40726-024-00296-9
88. He, C., M. Flanner, D. Lawrence, Y. Gu (2024): New features and enhancements in Community Land Model (CLM5) snow albedo modeling: description, sensitivity, and evaluation, Journal of Advances in Modeling Earth Systems, 16, e2023MS003861, https://doi.org/10.1029/2023MS003861
87. Lee, J. A., P. A. Jiménez, R. Kumar, and C. He (2024): Impact of direct insertion of SMAP soil moisture retrievals in WRF-Chem for dust storm events in the western U.S., Atmos. Environ., 321, 120349, https://doi.org/10.1016/j.atmosenv.2024.120349
86. Golbazi, M., S. Alessandrini, R. Kumar, P. McCarthy, P. C. Campbell, P. Bhardwaj, C. He, J. McQueen (2024), Enhancing air quality forecasts across the contiguous United States (CONUS) during wildfires using Analog-based post-processing methods, Atmos. Environ., 120165, https://doi.org/10.1016/j.atmosenv.2023.120165
Year 2023
85. Rahman, M.M., Wang, S., Zhao, W., Arshad, A., Zhang, W., and He, C. (2023): Comprehensive Evaluation of Spatial Distribution and Temporal Trend of NO2, SO2 and AOD Using Satellite Observations over South and East Asia from 2011 to 2021. Remote Sensing, 2023, 15(20), 5069. https://doi.org/10.3390/rs15205069
84. He, C., Chen, F., Barlage, M., Yang, Z.-L., Wegiel, J. W., Niu, G.-Y., Gochis, D., Mocko, D. M., Abolafia-Rosenzweig, R., Zhang, Z., Lin, T.-S., Valayamkunnath, P., Ek, M., and Niyogi, D. (2023): Enhancing the community Noah-MP land model capabilities for Earth sciences and applications, Bull. Amer. Meteor. Soc., E2023–E2029, https://doi.org/10.1175/BAMS-D-23-0249.1
83. Tang, W., L. K. Emmons, H. M. Worden, R. Kumar, C. He, B. Gaubert, Z. Zheng, S. Tilmes, R. R. Buchholz, S. Martinez-Alonso, C. Granier, A. Soulie, K. McKain, B. C. Daube, J. Peischl, C. Thompson, and P. Levelt (2023): Application of the Multi-Scale Infrastructure for Chemistry and Aerosols version 0 (MUSICAv0) for air quality in Africa, Geosci. Model Dev., 16, 6001–6028, https://doi.org/10.5194/gmd-16-6001-2023
82. He, C., Valayamkunnath, P., Barlage, M., Chen, F., Gochis, D., Cabell, R., Schneider, T., Rasmussen, R., Niu, G.-Y., Yang, Z.-L., Niyogi, D., and Ek, M.: Modernizing the open-source community Noah with multi-parameterization options (Noah-MP) land surface model (version 5.0) with enhanced modularity, interoperability, and applicability, Geosci. Model Dev., 16, 5131–5151, https://doi.org/10.5194/gmd-16-5131-2023, 2023.
81. Wu, X., Y. Feng, C. He, R. Kumar, C. Ge, D. Painemal, and Y. Xu (2023): Implementing and Improving CBMZ-MAM3 Chemistry and Aerosol Modules in the Regional Climate Model WRF-CAM5: an evaluation over the Western US and Eastern North Pacific, Atmosphere, 14(7), 1122, https://doi.org/10.3390/atmos14071122
80. Zhang, Z., Y. Li, F. Chen, P. Harder, W. Helgason, J. Famiglietti, P. Valayamkunnath, C. He, and Z. Li (2023): Developing Spring Wheat in the Noah-MP LSM (v4.4) for Growing Season Dynamics and Responses to Temperature Stress, Geosci. Model Dev., 16, 3809–3825, https://doi.org/10.5194/gmd-16-3809-2023
79. Yan, F., C. Li, S. Kang, Z. Hu, C. Zhang, C. Yang, P. Chen, J. Yang, Y. Xu, Y. Li, S. Gao, and C. He (2023): Dust dominates glacier darkening across majority of the Tibetan Plateau based on new measurements, Science of the Total Environment, 891, 164661, https://doi.org/10.1016/j.scitotenv.2023.164661
78. Rasmussen, R., F. Chen, C. Liu, K. Ikeda, A. Prein, J.-H. Kim, T. Schneider, A. Dai, D. Gochis, A. Dugger, Y. Zhang, A. Jaye, J. Dudhia, C. He,, M. Harrold, L. Xue, S. Chen, A. Newman, E. Dougherty, R. Abolafia-Rosenzweig, N. Lybarger, R. Viger, D. P. Lesmes, K. Skalak, J. W. Brakebill, D. Clline, K. Dunne, K. Rasmussen, G. Miguez-Macho (2023): CONUS404: The NCAR-USGS 4-km long-term regional hydroclimate reanalysis over the CONUS, Bull. Amer. Meteor. Soc., https://doi.org/10.1175/BAMS-D-21-0326.1
77. Tang, W., Tilmes, S., Lawrence, D. M., Li, F., He, C., Emmons, L. K., Buchholz, R. R., and Xia, L. (2023): Impact of solar geoengineering on wildfires in the 21st century in CESM2/WACCM6, Atmos. Chem. Phys., 23, 5467–5486, https://doi.org/10.5194/acp-23-5467-2023.
76. Zhou, Y., J. Liu, W. Ge, C. He, J. Ma, and S. Tao (2023): Towards carbon neutrality: projecting a desert-based photovoltaic power network circumnavigating the globe, PNAS Nexus, https://doi.org/10.1093/pnasnexus/pgad097
75. He, C., P. Valayamkunnath, M. Barlage, F. Chen, D. Gochis, R. Cabell, T. Schneider, R. Rasmussen, G.-Y. Niu, Z.-L. Yang, D. Niyogi, and M. Ek (2023): The Community Noah-MP Land Surface Modeling System Technical Description Version 5.0, (No. NCAR/TN-575+STR), http://dx.doi.org/10.5065/ew8g-yr95
74. Abolafia-Rosenzweig, R., C. He, F. Chen, K. Ikeda, T. Schneider, and R. Rasmussen (2023): High Resolution Forecasting of Summer Drought in the Western United States, Water Resources Research, 59, e2022WR033734, https://doi.org/10.1029/2022WR033734
73. Demuzere, M., C. He, A. Martilli, and A. Zonato (2023): A hybrid 100-m global land cover dataset with Local Climate Zones for WRF (1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7670653
72. Demuzere, M., C. He, A. Martilli, and A. Zonato (2023): Technical documentation for the hybrid 100-m global land cover dataset with Local Climate Zones for WRF (1.0.0). Zenodo. https://doi.org/10.5281/zenodo.7670792
71. Li, C., S. Kang, F. Yan, C. Zhang, J. Yang, and C. He (2023): Importance of precipitation and dust storms in regulating black carbon deposition on remote Himalayan glaciers, Environmental Pollution, 318, 120885, https://doi.org/10.1016/j.envpol.2022.120885
70. Hao, D., G. Bisht, K. Rittger, E. Bair, C. He, H. Huang, C. Dang, T. Stillinger, Y. Gu, H. Wang, Y. Qian, and L. R. Leung (2023): Improving snow albedo modeling in the E3SM land model (version 2.0) and assessing its impacts on snow and surface fluxes over the Tibetan Plateau, Geosci. Model Dev., 16, 75–94, https://doi.org/10.5194/gmd-16-75-2023 (journal highlight paper)
69. Kok, J. F., T. Storelvmo, V. A. Karydis, A. A. Adebiyi, N. M. Mahowald, A. T. Evan, C. He, and D. M. Leung (2023): Mineral dust aerosol impacts on global climate and climate change, Nature Reviews Earth & Environment, https://doi.org/10.1038/s43017-022-00379-5
68. Doan, Q. V., Kobayashi, S., Kusaka, H., Chen, F., He, C., & Niyogi, D. (2023). Tracking Urban Footprint on Extreme Precipitation in an African Megacity. Journal of Applied Meteorology and Climatology, 62(2), 209-226, https://doi.org/10.1175/JAMC-D-22-0048.1
Year 2022
67. Huang, H., Y. Qian, Y. Liu, C. He, J. Zheng, Z. Zhang, and A. Gkikas (2022): Where does the dust deposited over the Sierra Nevada snow come from?, Atmos. Chem. Phys., 22, 15469–15488, https://doi.org/10.5194/acp-22-15469-2022
66. Hoell, A., X.-W. Quan, M. Hoerling, H. F. Diaz, R. Fu, C. He, J. R. Lisonbee, J. S. Mankin, R. Seager, A. Sheffield, I. R. Simpson, and E. R. Wah (2022): Water Year 2021 Compound Precipitation and Temperature Extremes in California and Nevada, Bull. Amer. Meteor. Soc., E2905–E2911, https://doi.org/10.1175/BAMS-D-22-0112.1
65. Abolafia-Rosenzweig, R., C. He, S. M. Skiles, F. Chen, and D. Gochis (2022): Evaluation and optimization of snow albedo scheme in Noah-MP land surface model using in-situ spectral observations in the Colorado Rockies, Journal of Advances in Modeling Earth Systems, doi:10.1029/2022MS003141
64. Roychoudhury, C., C. He, R. Kumar, J. M. McKinnon, and A. F. Arellano (2022): On the relevance of aerosols to snow cover variability over High Mountain Asia, Geophys. Res. Lett., doi:10.1029/2022GL099317
63. Tang, W., L. Emmons, R. Buchholz, C. Wiedinmyer, R. Schwantes, C. He, R. Kumar, G. Pfister, H. Worden, R. Hornbrook, E. Apel, S. Tilmes, B. Gaubert, S. Martinez-Alonso, F. Lacey, C. Holmes, G. Diskin, I. Bourgeois, J. Peischl, T. Ryerson, J. Hair, A. Weinheimer, D. Montzka, G. Tyndall, and T. Campos (2022): Effects of fire diurnal variation and plume rise on U.S. air quality during FIREX-AQ and WE-CAN based on the Multi-Scale Infrastructure for Chemistry and Aerosols (MUSICA-V0), J. Geophys. Res.-Atmos, e2022JD036650, https://doi.org/10.1029/2022JD036650
62. Li, C., C. Zhang, F. Yan, S. Kang, Y. Xu, Y. Liu, Y. Gao, P. Chen, and C. He (2022), Importance of local non-fossil sources to carbonaceous aerosols at the eastern fringe of the Tibetan Plateau, China: Δ14C and δ13C evidences, Environmental Pollution, 311, 119858, https://doi.org/10.1016/j.envpol.2022.119858
61. Abolafia-Rosenzweig, R., C. He, and F. Chen (2022), For western wildfires, the immediate past is prologue, Eos, 103, https://doi.org/10.1029/2022EO220319, (available at https://eos.org/science-updates/for-western-wildfires-the-immediate-past-is-prol...).
60. Gul, C., S. Kang, S. Praveen, X. Wu, C. He, Y. Xu, I. Koch, S. Muhammad, R. Kumar, and G. Dubache (2022): Measurement of Light-absorbing particles in surface snow of central and western Himalayan glaciers: spatial variability, radiative impacts, and potential source regions, Atmos. Chem. Phys., 22, 8725–8737, https://doi.org/10.5194/acp-22-8725-2022
59. Shi, T., C. He, D. Zhang, X. Zhang, X. Niu, Y. Xing, Y. Chen, J. Cui, W. Pu, and X. Wang (2022): Opposite effects of mineral dust nonsphericity and size on dust-induced snow albedo reduction, Geophys. Res. Lett., e2022GL099031.
58. He, C. (2022): Modeling light-absorbing particle-snow-radiation interactions and impacts on snow albedo: fundamentals, recent advances, and future directions, Environmental Chemistry, doi:10.1071/EN22013
57. Shan, Y., H. Shi, J. Fan, L. Lin, L. Gao, C. He, M. Gao, L. Miao, L. Zhang, X. Xia, and H. Chen (2022): Revealing bias of cloud radiative effect in WRF simulation: bias quantification and source attribution, J. Geophys. Res.-Atmos, doi:10.1029/2021JD036319
56. Huang, H., Y. Qian, C. He, E. Bair, and K. Rittger (2022): Snow albedo feedbacks enhance snow impurity-induced radiative forcing in the Sierra Nevada, Geophys. Res. Lett., doi:10.1029/2022GL098102
55. Abolafia-Rosenzweig, R., C. He, and F. Chen (2022): Winter and spring climate explains a large portion of interannual variability and trend in western U.S. summer fire burned area, Environmental Research Letters, https://doi.org/10.1088/1748-9326/ac6886
54. Zhang, C., S. Gao, F. Yan, S. Kang, C. He, and C. Li (2022): An overestimation of light absorption of brown carbon in ambient particles caused by using filters with large pore size, Science of Total Environment, 155286, https://doi.org/10.1016/j.scitotenv.2022.155286
53. Kumar, R., C. He, P. Bhardwaj, F. Lacey, R. R. Buchholz, G. P. Brasseur, W. Joubert, C. Labuschagne, E. Kozlova, and T. Mkololo (2022): Assessment of regional carbon monoxide simulations over Africa and insights into source attribution and regional transport, Atmospheric Environment, 119075, https://doi.org/10.1016/j.atmosenv.2022.119075
52. Qian, Y., T. Chakraborty, J. Li, D. Li, C. He, C. Sarangi, F. Chen, X. Yang, and L. R. Leung (2022): Urbanization impact on regional climate and extreme weather: Current understanding, uncertainties, and future research directions, Advances in Atmospheric Sciences, https://doi.org/10.1007/s00376-021-1371-9
51. Hoell, A., X.-W. Quan, M. Hoerling, R. Fu, J. Mankin, I. Simpson, R. Seager, C. He, F. Lehner, J. Lisonbee, B. Livneh, and A. Sheffield (2022): Record Low 2020 North American Monsoon Rains Reignites American Southwestern Drought, Bull. Amer. Meteor. Soc., doi: 10.1175/BAMS-D-21-0129.1
50. Li, C., F. Yan, C. Zhang, S. Kang, M. Rai, H. Zhang, S. Hu, and C. He (2022): Coupling of decreased snow accumulation and increased light absorption particles accelerates glacier retreat in the Himalayas and Tibetan Plateau, Science of Total Environment, 151095, https://doi.org/10.1016/j.scitotenv.2021.151095
Year 2021
49. Feng, X., X. Zhang, C. He, and J. Wang (2021): Contributions of traffic and industrial emission reductions to the air quality improvement after the lockdown of Wuhan and neighboring cities due to COVID-19, Toxics, 9(12), 358, https://doi.org/10.3390/toxics9120358
48. Wang, Y., W. Li, J. Huang, L. Liu, Y. Peng, C. He, F. Liu, D. Liu, L. Bi, X. Zhang, and Z. Shi (2021): Nonlinear enhancement of radiative absorption by black carbon in response to particle mixing structure, Geophys. Res. Lett., 48, e2021GL096437, https://doi.org/10.1029/2021GL096437
47. Wang, W., C. He, J. Moore, G. Wang, and G.-Y. Niu (2021): Physics-based narrowband optical parameters for snow albedo simulation in climate models, Journal of Advances in Modeling Earth Systems, https://doi.org/10.1029/2020MS002431
46. Flanner, M. G., J. Arnheim, J. M. Cook, C. Dang, C. He, X. Huang, D. Singh, S. M. Skiles, C. A. Whicker, and C. S. Zender (2021): SNICAR-AD v3: A Community Tool for Modeling Spectral Snow Albedo, Geosci. Model Dev., 14, 7673–7704, https://doi.org/10.5194/gmd-14-7673-2021
45. He, C., F. Chen, R. Abolafia-Rosenzweig, K. Ikeda, C. Liu, and R. Rasmussen (2021): What causes the unobserved early-spring snowpack ablation in convection-permitting WRF modeling over Utah mountains?, J. Geophys. Res.-Atmos, 126(22), e2021JD035284, https://doi.org/10.1029/2021JD035284
44. Abolafia-Rosenzweig, R., C. He, S. Burns, and F. Chen (2021): Implementation and evaluation of a unified turbulence parameterization throughout the canopy and roughness sublayer in Noah-MP snow simulations, Journal of Advances in Modeling Earth Systems, 13(11), e2021MS002665, https://doi.org/10.1029/2021MS002665
43. Zonato, A., A. Martilli, E. Gutierrez, F. Chen, C. He, M. Barlage, D. Zardi and L. Giovannini (2021): Exploring the effects of rooftop mitigation strategies on urban temperatures and energy consumption, J. Geophys. Res.-Atmos, 126(21), e2021JD035002, https://doi.org/10.1029/2021JD035002
42. Jiang, Y., Y. Gao, C. He, B. Liu, Y. Pan, and X. Li (2021): Spatiotemporal distribution and variation of wind erosion over the Tibetan Plateau based on a coupled land-surface wind-erosion model, Aeolian Research, 50, 100699, https://doi.org/10.1016/j.aeolia.2021.100699
41. Gul, C., P. Mahapatra, S. Kang, P. K. Singh, X. Wu, C. He, R. Kumar, M. Rai, Y. Xu, and S. P. Puppala (2021): Black carbon concentration in the central Himalayas: impact on glacier melt and potential source contribution, Environmental Pollution, https://doi.org/10.1016/j.envpol.2021.116544
40. He, C., O. Clifton, E. Felker-Quinn, S. R. Fulgham, J. J. Calahorrano, D. Lombardozzi, G. Purser, M. Riches, R. Schwantes, W. Tang, B. Poulter, and A. L. Steiner (2021). Interactions between Air Pollution and Terrestrial Ecosystems: Perspectives on Challenges and Future Directions, Bull. Amer. Meteor. Soc., 102(3), E525-E538, https://doi.org/10.1175/BAMS-D-20-0066.1
39. Li, C., F. Yan, S. Kang, C. Yan, Z. Hu, P. Chen, S. Gao, C. Zhang, C. He, A. Stubbins, and S. Kaspari (2021): Carbonaceous matter in the atmosphere and glaciers of the Himalayas and the Tibetan Plateau: an investigative review, Environment International, 146, 106281, https://doi.org/10.1016/j.envint.2020.106281
Year 2020
38. J. Gelman Constantin, L. Ruiz, G. Villarosa, V. Outes, F. N. Bajano, C. He, H. Bajano, and L. E. Dawidowski (2020): Measurements and modeling of snow albedo at Alerce Glacier, Argentina: effects of volcanic ash, snow grain size and cloudiness, The Cryosphere, 14, 4581-4601, https://doi.org/10.5194/tc-14-4581-2020
37. Jiang, Y., F. Chen, Y. Gao, C. He, M. Barlage, and W. Huang (2020): Assessment of uncertainty sources in snow cover simulation in the Qinghai-Tibet Plateau, J. Geophys. Res.-Atmos, 125, e2020JD032674, doi:10.1029/2020JD032674.
36. Liu, D., C. He, J. P. Schwarz, and X. Wang (2020): Lifecycle of light-absorbing carbonaceous aerosols in the atmosphere. npj Clim Atmos Sci, 3, 40 (2020). https://doi.org/10.1038/s41612-020-00145-8.
35. He, C. and M. Flanner (2020). Snow Albedo and Radiative Transfer: Theory, Modeling, and Parameterization. In: Kokhanovsky A. (eds), Springer Series in Light Scattering (Volume 5), Springer, Cham, doi:10.1007/978-3-030-38696-2_3
Year 2019
34. He, C., F. Chen, M. Barlage, C. Liu, A. Newman, W. Tang, K. Ikeda, and R. Rasmussen (2019): Can convection-permitting modeling provide decent precipitation for offline high-resolution snowpack simulations over mountains, J. Geophys. Res.-Atmos, 124, https://doi.org/10.1029/2019JD030823.
33. He, C., K. N. Liou, Y. Takano, F. Chen, and M. Barlage (2019): Enhanced snow absorption and albedo reduction by dust-snow internal mixing: modeling and parameterization, JAMES, 11, 3755-3776, doi:10.1029/2019MS001737.
32. Yan, F., C. He, S. Kang, P. Chen, X. Han, S. Gautam, Z. Hu, C. Yan, M. Zheng, M. Sillanpää, P. Raymond, and C. Li (2019): Deposition of organic and black carbon: direct measurements at three remote stations in the Himalayas and Tibetan Plateau, J. Geophys. Res.-Atmos, 124, doi:10.1029/2019JD031018.
31. Ding, S., D. Zhao, C. He, M. Huang, H. He, P. Tian, K. Bi, C. Yu, J. Pitt, Y. Chen, X. Ma, Y. Chen, X. Jia, S. Kong, J. Wu, D. Hu, K. Hu, D. Ding, and D. Liu (2019), Observed interactions between black carbon and hydrometeor during wet scavenging in mixed-phase clouds, Geophys. Res. Lett., 46, 8453-8463, doi:10.1029/2019GL083171.
30. W. Pu, J. Cui, T. Shi, X. Zhang, C. He, and X. Wang (2019): The remote sensing of radiative forcing by light-absorbing particles (LAPs) in seasonal snow over northeastern China, Atmos. Chem. Phys., 19, 9949–9968, doi:10.5194/acp-19-9949-2019.
29. K. Yi, J. Meng, H. Yang, C. He, D. Henze, J. Liu, D. Guan, Z. Liu, L. Zhang, X. Zhu, Y. Cheng, and S. Tao (2019): The cascade of global trade to large climate forcing over the Tibetan Plateau glaciers, Nature Communications, 10, 3281, doi:10.1038/s41467-019-10876-9.
28. He, C. (2019). Radiative properties of atmospheric black carbon (soot) particles with complex structures. In: Kokhanovsky A. (eds) Springer Series in Light Scattering (Volume 4), Springer, Cham, doi:10.1007/978-3-030-20587-4_5.
27. Tang, W., Emmons, L. K., Arellano, A. F., Gaubert, B., Knote, C., Tilmes, S., Buchholz, R. R., Pfister, G. G., Diskin, G. S., Blake, D. R., Blake, N. J., Meinardi, S., DiGangi, J P., Choi, Y., Woo,J., He, C., Schroeder, J. R., Suh, I., Lee, H., Jo, H., Kanaya, Y.,Jung, J., Lee, Y., and Kim, D. (2019): Source contributions to carbon monoxide concentrations during KORUS-AQ based on CAM-chem model applications, J. Geophys. Res. Atmos., 124, 2796–2822, doi:10.1029/2018JD029151.
Year 2018
26. He, C., Flanner, M. G., Chen, F., Barlage, M., Liou, K. N., Kang, S., Ming, J., and Qian, Y. (2018): Black carbon-induced snow albedo reduction over the Tibetan Plateau: uncertainties from snow grain shape and aerosol–snow mixing state based on an updated SNICAR model, Atmos. Chem. Phys., 18, 11507-11527, doi:10.5194/acp-18-11507-2018.
25. He, C., K. N. Liou, and Y. Takano (2018): Resolving size distribution of black carbon internally mixed with snow: impact on snow optical properties and albedo, Geophys. Res. Lett., 45, 2697-2705, doi:10.1002/2018GL077062.
24. He, C., K. N. Liou, Y. Takano, P. Yang, L. Qi, and F. Chen (2018): Impact of grain shape and multiple black carbon internal mixing on snow albedo: parameterization and radiative effect analysis, J. Geophys. Res.-Atmos, 123, doi:10.1002/2017JD027752.
23. Yan, Y.-Y., J. Lin, and C. He (2018): Ozone trends over the United States at different times of day, Atmos. Chem. Phys., 18, 1185-1202, doi:10.5194/acp-18-1185-2018.
22. Zhao, B., Liou, K.-N., Gu, Y., Jiang, J. H., Li, Q., Fu, R., Huang, L., Liu, X., Shi, X., Su, H., and He, C. (2018): Impact of aerosols on ice crystal size, Atmos. Chem. Phys., 18, 1065-1078, doi:10.5194/acp-18-1065-2018.
Year 2017
21. Wang, Y., F. Liu, C. He, L. Bi, T. Cheng, Z. Wang, H. Zhang, X. Zhang, Z. Shi, and W. Li (2017): Fractal dimensions and mixing structures of soot particles during atmospheric processing, Environ. Sci. Technol. Lett., 4, 487-493, doi:10.1021/acs.estlett.7b00418.
20. He, C., Y. Takano, K.-N. Liou, P. Yang, Q. Li, and F. Chen (2017): Impact of snow grain shape and black carbon-snow internal mixing on snow optical properties: Parameterizations for climate models, J. Climate, 30(24), 10019-10036, doi:10.1175/JCLI-D-17-0300.1.
19. Qi, L., Q. Li, D. Henze, H.-L. Tseng, and C. He (2017): Sources of Springtime Surface Black Carbon in the Arctic: An Adjoint Analysis for April 2008, Atmos. Chem. Phys., 17, 9697-9716, doi:10.5194/acp-17-9697-2017.
18. He, C. (2017). Climatic Effects of Black Carbon Aerosols over the Tibetan Plateau, Doctoral dissertation, University of California, Los Angeles.
17. Zhao, B., K.-N. Liou, Y. Gu, Q. Li, J. H. Jiang, H. Su, C. He, H.-L. Tseng, S. Wang, R. Liu, L. Qi, W.-L. Lee, and J. Hao (2017): Enhanced PM2.5 pollution in China due to aerosol-cloud interactions, Scientific Reports, 7, 4453, doi:10.1038/s41598-017-04096-8.
16. Qi, L., Li, Q., He, C., Wang, X., and Huang, J. (2017): Effects of the Wegener-Bergeron-Findeisen Process on Global Black Carbon Distribution, Atmos. Chem. Phys., 17, 7459-7479, doi:10.5194/acp-17-7459-2017.
15. He, C., Y. Takano, and K. N. Liou (2017), Close packing effects on clean and dirty snow albedo and associated climatic implications, Geophys. Res. Lett., 44, doi:10.1002/2017GL072916.
14. Li, Z., J. Liu, D. L. Mauzerall, X. Li, S. Fan, L. W. Horowitz, C. He, K. Yi, and S. Tao (2017): A potential large and persistent black carbon forcing over Northern Pacific inferred from satellite observations. Scientific Reports, 7, 43429, doi:10.1038/srep43429.
13. Qi, L., Li, Q., Li, Y., and He, C. (2017): Factors controlling black carbon distribution in the Arctic, Atmos. Chem. Phys., 17, 1037-1059, doi:10.5194/acp-17-1037-2017.
12. Lee, W. L., Liou, K. N., He, C., Liang, H. C., Wang, T. C., Li, Q., Liu, Z. and Yue, Q. (2017): Impact of absorbing aerosol deposition on snow albedo reduction over the southern Tibetan plateau based on satellite observations. Theor. Appl. Climatol., 129(3-4), 1373-1382, doi:10.1007/s00704-016-1860-4.
Year 2016
11. He, C., Y. Takano, K. N. Liou, P. Yang, Q. B. Li, and D. W. Mackowski (2016): Intercomparison of the GOS approach, superposition T-matrix method, and laboratory measurements for black carbon optical properties during aging, J. Quant. Spectrosc. Radiat. Transf., 184, 287–296, doi:10.1016/j.jqsrt.2016.08.004.
10. Zhao, B., K. N. Liou, Y. Gu, C. He, W.-L. Lee, X. Chang, Q. Li, S. Wang, H.-L. Tseng, L.-Y. R. Leung, and J. Hao (2016): Impact of buildings on surface solar radiation over urban Beijing, Atmos. Chem. Phys., 16, 5841-5852, doi:10.5194/acp-16-5841-2016.
9. He, C., Li, Q., Liou, K. N., Qi, L., Tao, S., and Schwarz, J. P. (2016): Microphysics-based black carbon aging in a global CTM: constraints from HIPPO observations and implications for global black carbon budget, Atmos. Chem. Phys., 16, 3077-3098, doi:10.5194/acp-16-3077-2016.
Year 2015
8. He, C., Liou, K. N., Takano, Y., Zhang, R., Zamora, M. L., Yang, P., Li, Q., and Leung, L. R. (2015): Variation of the radiative properties during black carbon aging: theoretical and experimental intercomparison, Atmos. Chem. Phys., 15, 11967-11980, doi:10.5194/acp-15-11967-2015.
7. Mao, Y. H., Q. B. Li, D. K. Henze, Z. Jiang, D. B. A. Jones, M. Kopacz, C. He, L. Qi, M. Gao, W.-M. Hao, and K. N. Liou (2015): Estimates of black carbon emissions in the western United States using the GEOS-Chem adjoint model, Atmos. Chem. Phys., 15, 7685-7702, doi:10.5194/acp-15-7685-2015.
Year 2014
6. He, C., Q. Li, K. N. Liou, Y. Takano, Y. Gu, L. Qi, Y. Mao, and L. R. Leung (2014): Black carbon radiative forcing over the Tibetan Plateau, Geophys. Res. Lett., 41, 7806 – 7813, doi:10.1002/2014GL062191.
5. He, C., Q. B. Li, K. N. Liou, J. Zhang, L. Qi, Y. Mao, M. Gao, Z. Lu, D. G. Streets, Q. Zhang, M. M. Sarin, and K. Ram (2014): A global 3-D CTM evaluation of black carbon in the Tibetan Plateau, Atmos. Chem. Phys., 14, 7091-7112, doi:10.5194/acp-14-7091-2014.
4. Liou, K. N., Y. Takano, C. He, P. Yang, L. R. Leung, Y. Gu, and W. L. Lee (2014): Stochastic parameterization for light absorption by internally mixed BC/dust in snow grains for application to climate models, J. Geophys. Res.-Atmos., 119, doi:10.1002/2014JD021665.
Years 2012-2013 (undergraduate research)
3. He, C., Liu, J., Carlton, A. G., Fan, S., Horowitz, L. W., Levy II, H., and Tao, S. (2013): Evaluation of factors controlling global secondary organic aerosol production from cloud processes, Atmos. Chem. Phys., 13, 1913-1926, doi:10.5194/acp-13-1913-2013.
2. He, C. and T.-M. Fu (2013): Air-Sea Exchange of Volatile Organic Compounds: A New Model with Microlayer Effects, Atmos. Oceanic Sci. Lett., 6, 97−102, doi: 10.1080/16742834.2013.11447063.
1. He, C., F. Gao, X. Lu, Z. Hou, and S. Zhang (2012): Eco-toxicological Effects of Multi-Wall Carbon Nanotube on Soil Microorganisms, Asian Journal of Ecotoxicology, 7, 148-155.
