学位:理学博士学位
性别:男
毕业院校:中国科学院大学 中国科学院大气物理研究所
学历:博士研究生毕业
所在单位:水文与水资源工程学院
电子邮箱:
003493@nuist.edu.cn
季鹏,博士,中共党员,硕士生导师。2021年6月于中国科学院大气物理研究所取得气象学理学博士学位,同年以高层次人才(龙山学者)方式引进至南京信息工程大学工作。研究方向为高分辨率陆面模式发展、干旱、热浪等极端事件模拟与归因、流域水循环演变等。在Bulletin of the American Meteorological Society 、Journal of Climate、 Hydrology and Earth System Sciences、Journal of Advances in Modeling Earth Systems等期刊发表SCI检索论文20余篇,获得中国科学院院长奖,中科院优秀博士论文等。担任Journal of Hydrology, Environmental Research Letters, Hydrology and Earth System Sciences,Journal of Geophysical Research-Atmosphere等SCI期刊的审稿人,获JMR优秀审稿人。
学术论文
一作:
15. Ji,P., X. Yuan*, 2024: Spatially varying effect of soil moistureatmosphere feedback on spring streamflow under future warming in China. Communications Earth & Environment, 5, 518. https://doi.org/10.1038/s43247-024-01701-3
14. Ji, P., X. Yuan*, F. Ma, Q. Xu, 2024: Drivers of long-term changes in summer compound hot extremes in China: Climate change, urbanization, and vegetation greening. Atmospheric Research, 310(7), 107632. https://doi.org/10.1016/j.atmosres.2024.107632
13. Ji, P., X. Yuan*, 2024: Disparities and similarities in the spatiotemporal dynamics of flash and slow droughts in China. Environmental Research Letters, 19(8), 084015. https://doi.org/10.1088/1748-9326/ad5d7e
12. Ji, P., X. Yuan*, and Y. Jiao, 2023: Synergistic effects of high-resolution factors for improving soil moisture simulations over China. Water Resources Research, 59, e2023WR035513. h59, e2023WR035513. h59, e2023WR035513.
11. Ji, P., X. Yuan*, Y. Jiao, M. Zhang, 2023: On the reliability of 12 high-resolution precipitation products for process-based hydrological modeling in China. Journal of Hydrology, 628, 130598. https://doi.org/10.1016/j.jhydrol.2023.130598
10. Ji, P., X. Yuan*, and Y. Jiao, 2023: Future hydrological drought changes over the upper Yellow River basin: the role of climate change, land cover change and reservoir operation. Journal of Hydrology, 617, 129128. https://doi.org/10.1016/j.jhydrol.2023.129128
9. Ji, P., X. Yuan*, C. Shi, L. Jiang, G. Wang, and K. Yang, 2023: A long-term simulation of land surface conditions at high-resolution over continental China. Journal of Hydrometeorology, 24(2), 285-314. https://doi.org/10.1175/JHM-D-22-0135.1
8. 季鹏, 袁星*, 2023: 基于多种机器学习模型的西北地区蒸散发模拟与趋势分析. 大气科学学报, 46(1), 69-81.
7. Ji, P., X. Yuan*, X.-Z. Liang, Y. Jiao, Y. Zhou, and Z. Liu, 2021: High-resolution land surface modeling of the effect of long-term urbanization on hydrothermal changes over Beijing metropolitan area. Journal of Geophysical Research: Atmosphere, 126, e2021JD034787. https://doi.org/10.1029/2021JD034787
6. Ji, P., X. Yuan*, F. Ma, and M. Pan, 2020: Accelerated hydrological cycle over the Sanjiangyuan region induces more streamflow extremes at different global warming levels, Hydrology and Earth System Sciences, 24(11), 5439-5451, https://doi.org/10.5194/hess-24-5439-2020
5. Ji, P., X. Yuan*, Y. Jiao, C. Wang, S. Han, and C. Shi, 2020: Anthropogenic contributions to the 2018 extreme flooding over the upper Yellow River basin in China. Bulletin of the American Meteorological Society, 101(1), S89-S94, https://doi.org/10.1175/BAMS-D-19-0105.1
4. Ji, P., X. Yuan*, and D. Li, 2020: Atmospheric radiative processes accelerate ground surface warming over the southeastern Tibetan Plateau during 1998-2013. Journal of Climate, 33(5), 1881-1895, doi: 10.1175/JCLI-D-19-0410.1
3. Ji, P., and X. Yuan*, 2020: Underestimation of the Warming Trend over the Tibetan Plateau during 1998-2013 by Global Land Data Assimilation Systems and Atmospheric Reanalyses. Journal of Meteorological Research, 34(1), 88-100, doi: 10.1007/s13351-020-9100-3
2. Ji, P., and X. Yuan*, 2018: High-resolution land surface modeling of hydrological changes over the Sanjiangyuan region in the eastern Tibetan Plateau: 2. Impact of climate and land cover change. Journal of Advances in Modeling Earth Systems, 10, 2829–2843, doi:10.1029/2018MS001413.
1. Ji, P., X. Yuan*, and X.-Z. Liang, 2017: Do lateral flows matter for the hyperresolution land surface modeling? Journal of Geophysical Research: Atmospheres, 122, 12077-12092, doi:10.1002/2017JD027366
合作文章:
8. Yuan, X.*, Y. Wang, P. Ji, P. Wu, J. Sheffield, and J. Otkin, 2023: A global transition to flash droughts under climate change. Science, 380, 187-191. https://doi.org/10.1126/science.abn6301
7. Yuan, X.*, L. Wang, P. Wu, P. Ji, J. Sheffield, and M. Zhang, 2019: Anthropogenic shift towards higher risk of flash drought over China. Nature Communications, 10, 4661. https://doi.org/10.1038/s41467-019-12692-7
6. Li, J., X. Yuan*, and P. Ji, 2023: Long-lead daily streamflow forecasting using Long Short-Term Memory model with different predictors. Journal of Hydrology: Regional Studies, 48, 101471. https://doi.org/10.1016/j.ejrh.2023.101471
5. Lin, D., X. Yuan*, B. Jia*, and P. Ji, 2023: Assessment of high-resolution surface soil moisture products over the Qinghai-Tibet Plateau for 2009–2017. Atmosphere, 14(2), 302. https://doi.org/10.3390/atmos14020302
4. Zhang, M., X. Yuan*, J. Otkin, and P. Ji, 2022: Climate warming outweighs vegetation greening in intensifying flash droughts over China. Environmental Research Letters, 17(5), 054041. https://iopscience.iop.org/article/10.1088/1748-9326/ac69fb
3. Zeng, J., X. Yuan*, P. Ji, and C. Shi, 2021: Effects of meteorological forcings and land surface model on soil moisture simulation over China. Journal of Hydrology, 603, 126978. https://doi.org/10.1016/j.jhydrol.2021.126978
2. Ma, F., X. Yuan*, Y. Jiao, and P. Ji, 2020: Unprecedented Europe heat in June-July 2019: Risk in the historical and future context. Geophysical Research Letters, 47, e2020GL087809. https://doi.org/10.1029/2020GL087809
1. Yuan, X.*, P. Ji, L. Wang, X.-Z. Liang, K. Yang, A. Ye, Z. Su, and J. Wen, 2018: High-resolution land surface modeling of hydrological changes over the Sanjiangyuan region in the eastern Tibetan Plateau: 1. Model development and evaluation. Journal of Advances in Modeling Earth Systems, 10, 2806–2828, doi:10.1029/2018MS001412.