贾炳浩

姓名：贾炳浩

职称/职务：研究员

所在单位：中国科学院大气物理研究所

E-mail: bhjia@mail.iap.ac.cn

通讯地址：北京市朝阳区北辰西路81号

学习经历：

◆2002-2006年，中国矿业大学(北京)，理学院信息与计算科学专业，理学学士；

◆2006-2011年，中国科学院大气物理研究所，气象学专业，气象学博士。

工作经历：

◆2011年7月-至今，中国科学院大气物理研究所，大气科学和地球流体力学数值模拟国家重点实验室，助理研究员、副研究员、研究员

◆2018年5月-2018年8月，美国伊利诺伊大学香槟分校，访问学者

◆2012年12月-2013年4月，美国马里兰大学，访问学者

主要研究方向：

陆面生态水文数值模拟和卫星遥感数据同化、陆面过程模式的发展及其与地球系统模式的耦合、机器学习在陆面生态水文的应用、污染循环模型研制和应用等

科研项目(在研)：

[1]国家重点研发计划“长江黄河国控断面重要水环境指标异常成因机理与管控策略”，课题3“长江黄河重要水环境指标多界面过程及通量研究”，2022/11-2026/04，292.5万元，课题负责人；

[2]中国科学院青年创新促进会会员，2021/01-2024/12，80万元，主持；

[3]第二次青藏高原综合科学考察研究任务二“亚洲水塔动态变化与影响”，专题6“亚洲水塔区水循环动态监测与模拟”，子专题5“亚洲水塔区地表-地下水耦合模拟”，2019/12-2024/12，228万元，主持。

学术成果(第一/通讯作者SCI论文)：

[1]Binghao Jia, Longhuan Wang*, and Zhenghui Xie, 2023: Increasing lake water storage on the Inner Tibetan Plateau under climate change.Science Bulletin, 5.https://doi.org/10.1016/j.scib.2023.02.018【SCI】

[2]Dongjun Lin, Xing Yuan*,Binghao Jia*, and Peng Ji, 2023: Assessment of High-Resolution Surface Soil Moisture Products over the Qinghai–Tibet Plateau for 2009–2017. Atmosphere 2023, 14, 302. https://doi.org/10.3390/atmos14020302.【SCI】

[3]Binghao Jia, Xin Luo, Longhuan Wang*, and Xin Lai, 2023: Changes in water use efficiency caused by climate change, CO₂fertilization and land use changes on the Tibetan Plateau.Advances inAtmospheric Sciences, 40(1), 144-154. https://doi.org/10.1007/s00376-022-2172-5.【SCI】

[4]Jianguo Liu, Zongliang Yang,Binghao Jia*, Longhuan Wang, Ping Wang, Zhenghui Xie, and Chunxiang Shi, 2023: Elucidating dominant factors affecting land surface hydrological simulations of the Community Land Model over China.Advances inAtmospheric Sciences, 40(2), 235-250. https://doi.org/10.1007/s00376-022-2091-5.【SCI】

[5]Longhuan Wang,Binghao Jia*,Zhenghui Xie, Bin Wang, Shuang Liu, Ruichao Li, Bin Liu, Yan Wang, and Si Chen, 2022: Impact of groundwater extraction on hydrological process over the Beijing-Tianjin-Hebei region, China. Journal of Hydrology, 609, 127689. https://doi.org/10.1016/j.jhydrol.2022.127689【SCI】

[6]Binghao Jia*, L. Wang, Y. Wang, R. Li, X. Luo, J. Xie, Z. Xie, S. Chen, P. Qin, L. Li, and K. Chen, 2021: CAS-LSM datasets for the CMIP6 Land Surface Snow and Soil Moisture Model Intercomparison Project.Advances inAtmospheric Sciences, 38, 862-874, https://doi.org/10.1007/s00376-021-0293-x.【SCI】

[7]Binghao Jia*, X. Cai, F. Zhao, J. Liu, S. Chen, X. Luo, Z. Xie, and J. Xu, 2020: Potential future changes of terrestrial water storage based on climate projections by ensemble model simulations.Advances in Water Resources, 142, 10365, https://doi.org/10.1016/j.advwatres.2020.103635.【SCI】

[8]Binghao Jia*, X. Luo, X. Cai, A. Jain, D. N Huntzinger, Z. Xie, N. Zeng, J. Mao, X. Shi, A. Ito, Y. Wei, H. Tian, B. Poulter, D. Hayes, and K. Schaefer, 2020: Impacts of land-use change and elevated CO₂on the interannual variations and seasonal cycles of gross primary productivity in China.Earth System Dynamics, 11, 235-249, https://doi.org/10.5194/esd-11-235-2020.【SCI】

[9]Luo, X.,Binghao Jia*, and X. Lai, 2020:Quantitative analysis of the contributions of land use change andCO2 fertilization to carbon use efficiency on the Tibetan Plateau.Science ofthe Total Environment, 728, 138607, https://doi.org/10.1016/j.scitotenv.2020.138607.【SCI】

[10]Binghao Jia, J. Liu*, Z. Xie, and C. Shi, 2018: Interannual variations and trends in remotely sensed and modelled soil moisture in China.Journal of Hydrometeorology, 19, 831–847, https://doi.org/10.1175/JHM-D-18-0003.1.【SCI】

[11]Binghao Jia*, Y. Wang, and Z. Xie, 2018: Responses of the terrestrial carbon cycle to drought over China: modeling sensitivities of the interactive nitrogen and dynamic vegetation.Ecological Modelling, 368, 52–68, https://doi.org/10.1016/j.ecolmodel.2017.11.009.【SCI】

[12]Wang, Y.,Binghao Jia*, and Z. Xie, 2018: Effects of dynamic root distribution on land-atmosphere fluxes in the Community Earth System Model (CESM1.2).Forests, 9, 172, https://doi.org/10.3390/f9040172.【SCI】

[13]Wang, Y.,Binghao Jia*, and Z. Xie, 2018: Effects of hydraulic redistribution on eco-hydrological cycles: a case study over the Amazon basin.Science China Earth Sciences, 61(9), 1330–1340, https://doi.org/10.1007/s11430-017-9219-5.【SCI】【通讯作者】

[14]Binghao Jia*, and Z. Xie, 2016: Improving microwave brightness temperature predictions based on Bayesian model averaging ensemble approach.Applied Mathematics and Mechanics-English Edition, 37(11), 1501–1516, https://doi.org/10.1007/s10483-016-2103-6.【SCI】

[15]Wang, Y., Z. Xie,Binghao Jia*, and Y. Yu, 2016: Incorporation of a dynamic root distribution into CLM4.5: evaluation of carbon and water fluxes over the Amazon.Advances in Atmospheric Sciences, 33(9): 1047–1060, https://doi.org/10.1007/s00376-016-5226-8.【SCI】

[16]Liu J.,Binghao Jia*, Z. Xie, and C. Shi, 2016: Ensemble simulation of land evapotranspiration in China based on a multi-forcing and multi-model approach.Advances in Atmospheric Sciences, 33(6), 673–684, https://doi.org/10.1007/s00376-016-5213-0.【SCI】

[17]Binghao Jia, Z. Xie, Y. Zeng, L. Wang, Y. Wang, J. Xie, and Z. Xie, 2015: Diurnal and seasonal variations of CO2 fluxes and their climate controlling factors for a subtropical forest in Ningxiang.Advances in Atmospheric Sciences, 32(4), 553–564, doi: 10.1007/s00376-014-4069-4.【SCI】

[18]Binghao Jia, X. Tian, Z. Xie, J. Liu, and C. Shi, 2013a: Assimilation of microwave brightness temperature in a land data assimilation system with multi-observation operators.Journal of Geophysical Research-Atmospheres, 118, doi:10.1002 /jgrd.50377.【SCI】

[19]Binghao Jia, Z. Xie, A. Dai, C. Shi, and F. Chen, 2013b: Evaluation of satellite and reanalysis products of downward surface solar radiation over East Asia: Spatial and seasonal variations.Journal of Geophysical Research-Atmospheres, 118, doi:10.1002/jgrd.50353.【SCI】

[20]Binghao Jia,Z. Xie, X. Tian, and C. Shi, 2009: A soil moisture assimilation scheme based on the ensemble Kalman filter using microwave brightness temperature.Science in China Series D: Earth Sciences, 52(11), 1835–1848.【SCI】

获奖情况：

湖南省自然科学奖三等奖(2/4)