姜哲
- 教师拼音名称:jiangzhe
- 性别:男
- 职称:教授
- 所属院系:地球系统科学学院
- 979fbaf8ab71a30ee9ed0192865196b001fa0e7035df1255ac0dc92c5818d0e42e7097b7e1551d6f0b754235269b9f641f474b159c6458b9c50d43b3b33bd514c6d39d5e71ca01d87b83de2d6f398ce3253af42344fe4f851752abf61a764562e0a1341503431450f63f90b7afc2ab3e96661f4cca42eff6fa3c243b922fa638
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· Chen, X., Jiang, Z.*, Shen, Y., Wang, S., Shindell, D. and Zhang, Y.*, 2024. Ozone mortality burden changes driven by population aging and regional inequity in China in 2013-2050. GeoHealth, 8, e2024GH001058. https://doi.org/10.1029/2024GH001058.
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· Wang, M.#, Chen, X.#, Jiang, Z.*, He, T. L.*, Jones, D., Liu, J. and Shen, Y., 2024. Meteorological and anthropogenic drivers of surface ozone change in the North China Plain in 2015-2021. Sci. Total Environ., 906, 167763. https://doi.org/10.1016/ j.scitotenv.2023.167763.
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· Han, W.#, He, T.#, Jiang, Z.*, Zhu, R., Jones, D., Miyazaki, K. and Shen, Y., 2023. The capability of deep learning model to predict ozone across continents in China, the United States and Europe. Geophys. Res. Lett., 50, e2023GL104928. https://doi.org/10.1029/ 2023gl104928.
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· Zhu, R., Tang, Z., Chen, X., Liu, X. and Jiang, Z.*, 2023. Rapid O3 assimilations – Part 2: Tropospheric O3 changes accompanied by declining NOx emissions in the USA and Europe in 2005–2020. Atmos. Chem. Phys., 23, 9745-9763. https://doi.org/10.5194/acp-23-9745-2023.
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· Zhu, R., Tang, Z., Chen, X., Liu, X. and Jiang, Z.*, 2023. Rapid O3 assimilations – Part 1: Background and local contributions to tropospheric O3 changes in China in 2015–2020. Geosci. Model Dev., 16, 6337-6354. https://doi.org/10.5194/gmd-16-6337-2023.
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· Tang, Z., Jiang, Z.*, Chen, J., Yang, P. and Shen, Y., 2023. The capabilities of the adjoint of GEOS-Chem model to support HEMCO emission inventories and MERRA-2 meteorological data. Geosci. Model Dev., 16, 6377-6392. https://doi.org/10.5194/gmd-16-6377-2023.
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· Chen, X.#, Wang, M.#, He, T. L., Jiang, Z.*, Zhang, Y., Zhou, L.*, Liu, J., Liao, H., Worden, H., Jones, D., Chen, D., Tan, Q. and Shen, Y., 2023. Data‐ and Model‐Based Urban O3 Responses to NOx Changes in China and the United States. J. Geophys. Res.-Atmos., 128, e2022JD038228. https://doi.org/10.1029/2022jd038228.
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· Tang, Z., Chen, J. and Jiang, Z.*, 2022. Discrepancy in assimilated atmospheric CO over East Asia in 2015–2020 by assimilating satellite and surface CO measurements. Atmos. Chem. Phys., 22, 7815-7826. https://doi.org/10.5194/acp-22-7815-2022.
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· Han, W.#, He, T.-L.#, Tang, Z., Wang, M., Jones, D. and Jiang, Z.*, 2022. A comparative analysis for a deep learning model (hyDL-CO v1.0) and Kalman filter to predict CO concentrations in China. Geosci. Model Dev., 15, 4225-4237. https://doi.org/10.5194/gmd-15-4225-2022.
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· Chen, J., Jiang, Z.*, Li, R., Liao, C., Miyazaki, K. and Jones, D. B. A., 2022. Large discrepancy between observed and modeled wintertime tropospheric NO2 variabilities due to COVID-19 controls in China. Environ. Res. Let., 17, 035007. https://doi.org/10.1088/1748-9326/ac4ec0.