贾炳浩

中国科学院大气物理研究所 , 副研究员
研究兴趣：陆面数据同化理论及应用 , 陆面过程模式发展及其与地球系统模式耦合 , 陆面碳水循环数值模拟和数据同化


发表论文论著

论文列表

    Jia, Binghao*, Ximing Cai, Fang Zhao, Jianguo Liu, Si Chen, Xin Luo,  Zhenghui Xie, and Jianhui Xu, 2020: Potential future changes of terrestrial water storage based on climate projections by ensemble model simulations. Advances in Water Resources, in press.【SCI】【通信作者】

    Jia, Binghao*, Xin Luo, Ximing Cai, Atul Jain, Deborah N Huntzinger, Zhenghui Xie, Ning Zeng, Jiafu Mao, Xiaoying Shi, Akihiko Ito, Yaxing Wei, Hanqin Tian, Benjamin Poulter, Dan Hayes, and Kevin Schaefer, 2020: Impacts of land-use change and elevated CO2 on 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】【通信作者】

    Luo, X., Binghao Jia*, and X. Lai, 2020: Quantitative analysis of the contributions of land use change and CO2 fertilization to carbon use efficiency on the Tibetan Plateau. Science of the Total Environment, 728, 138607, https://doi.org/10.1016/j.scitotenv.2020.138607.【SCI】【通信作者】

    Luo, X., Binghao Jia*, and X. Lai, 2020: Contributions of climate change, land use change and CO2 to changes in the gross primary productivity of the Tibetan Plateau. Atmospheric and Oceanic Science Letters, 13(1), 8–15, https://doi.org/10.1080/16742834.2020.1695515.【通信作者】

    Jia, Binghao, 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. 【SCI】

    Jia, Binghao*, 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. 【SCI】【通信作者】

    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, doi:10.3390/f9040172.【SCI】【通信作者】

    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】【通信作者】

    王媛媛, 贾炳浩*, 谢正辉, 2019: 根系水力再分配对陆地碳水循环的影响—以亚马逊流域为例, 中国科学-地球科学, 49, 456–467, doi: 10.1360/N072017-00427.

    Liu, J., Binghao Jia*, Z. Xie, and C. Shi, 2018: Improving the simulation of terrestrial water storage anomalies over China using a Bayesian model averaging ensemble approach. Atmospheric and Oceanic Science Letters, 11(4), 322–329, https://doi.org/10.1080/16742834.2018.1484656. 【通信作者】

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

    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, doi: 10.1007/s00376-016-5226-8. 【SCI】【通信作者】

    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, doi: 10.1007/s00376-016-5213-0. 【SCI】【通信作者】

    Jia, Binghao, 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】

    Jia, Binghao, J. Liu, and Z. Xie, 2015: Evaluation of a multi-satellite soil moisture product and the Community Land Model 4.5 simulation in China. Hydrology Earth System Sciences Discussions, 12, 5151–5186, doi:10.5194/hessd-12-5151-2015.

    Jia, Binghao*, N. Zeng, and Z. Xie, 2014: Assimilating the LAI data to the VEGAS model using the local ensemble transform Kalman filter (LETKF): an observing system simulation experiment. Atmospheric and Oceanic Science Letters, 7(4), 314–319.

    Jia, Binghao, 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】

    Jia, Binghao, 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】

    Jia, Binghao, and Z. Xie, 2011: Evaluation of the community microwave emission model coupled with the community land model over East Asia. Atmospheric and Oceanic Science Letters, 4, 209–215.

    Jia, Binghao, 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】

    贾炳浩*, 谢正辉, 田向军, 师春香, 2010: 基于微波亮温及集合Kalman滤波的土壤湿度同化方案, 中国科学：地球科学, 40(2), 239–251.

    Li, L., Y. Yu,  Y. Tang, P. Lin, J. Xie, M. Song, L. Dong, T. Zhou, L. Liu, L. Wang, Y. Pu, X. Chen, L. Chen, Z. Xie, H. Liu, L. Zhang, X. Huang, T. Feng, W. Zheng, K. Xia, H. Liu, J. Liu,  Y. Wang, L. Wang, B. Jia, F. Xie, B. Wang, S. Zhao, Z. Yu, B. Zhao, and W. Wei, 2020: The Flexible Global Ocean-Atmosphere-Land System Model Grid-Point Version 3 (FGOALS-g3): Description and Evaluation. Journal of Advances in Modeling Earth Systems, https://doi.org/10.1029/2019MS002012.  【SCI】

    Wang, Y., Z. Xie, B. Jia, L. Wang, R. Li, B. Liu, S. Chen, J. Xie,  and P. Qin, 2020: Sensitivity of snow simulations to different atmospheric forcing datasets in the land surface model CAS-LSM. Journal of Geophysical Research: Atmospheres, https://doi.org/10.1029/2019JD032001.

    Xu, J., F. Zhang, H. Jiang, H. Hu, K. Zhong, W. Jing, J. Yang, and B. Jia, 2020: Downscaling aster land surface temperature over urban areas with machine learning-based area-to-point regression kriging. Remote Sensing, 12, 1082. https://doi.org/10.3390/rs12071082 【SCI】

    Mahmood, T., Z. Xie, B. Jia, A. Habib and R. Mahmood, 2019: A soil moisture data assimilation system for Pakistan using PODEn4DVar and the Community Land Model Version 4.5. Journal of Meteorological Research, 33(6), 1182-1193. https://doi.org/10.1007/s13351-019-9020-2.【SCI】

    Wang, L., Z. Xie, B. Jia, J. Xie, Y. Wang, B. Liu, R. Li, S. Chen, 2019: Contributions of climate change and groundwater extraction to soil moisture trends. Earth System Dynamics,10, 599–615. 【SCI】

    Liu, Y., E. Kalnay, N. Zeng, G. Asrar, Z. Chen, and B. Jia, 2019: Estimating surface carbon fluxes based on a local ensemble transform Kalman filter with a short assimilation window and a long observation window: an observing system simulation experiment test in GEOS-Chem 10.1. Geoscience Model Development, 12, 2899-2914, https://doi.org/10.5194/gmd-12-2899-2019.【SCI】

    Gao, J., Z. Xie, A. Wang, S. Liu, Y. Zeng, B. Liu, R. Li, B. Jia, P. Qin, and J. Xie, 2019: A new frozen soil parameterization including frost and thaw fronts in the Community Land Model, Journal of Advances in Modeling Earth Systems, 11, 659–679, https://doi. org/10.1029/2018MS001399.【SCI】

    Liu, S., Z. Xie, Y. Zeng, B. Liu, R. Li, Y. Wang, L. Wang, P. Qin, B. Jia, and J. Xie, 2019: Effects of anthropogenic nitrogen discharge on dissolved inorganic nitrogen transport in global rivers. Global Change Biology, 2019, 25, 1493–1513, https://doi.org/10.1111/gcb.14570. 【SCI】

    Xie, Z., S. Liu, Y. Zeng, J. Gao, P. Qin, B. Jia, J. Xie, B. Liu, R. Li, Y. Wang, and L. Wang, 2018: A high-resolution land model with groundwater lateral flow, water use and soil freeze-thaw front dynamics and its applications in an endorheic basin. Journal of Geophysical Research: Atmospheres, 7204–7222, doi: 10.1029/2018JD028369123. 【SCI】

    Xie, Z., Z. Hu, Z. Xie, B. Jia, G. Sun, Y. Du, and H. Song, 2018: Impact of the snow cover scheme on snow distribution and energy budget modeling over the Tibetan Plateau, Theoretical and Applied Climatology, 131, 951–965, doi:10.1007/s00704-016-2020-6. 【SCI】

    Zeng, Y., Z. Xie, S. Liu, J. Xie, B. Jia, P. Qin, and J. Gao, 2018: Global land surface modeling including lateral groundwater flow, Journal of Advances in Modeling Earth Systems, 10, 1882-1900, https://doi.org/10.1029/2018MS001304/.【SCI】

    Geng, X., Z. Xie, L. Zhang, M. Xu, and B. Jia, 2018: An inverse method to estimate emission rates based on nonlinear least squares-based ensemble four-dimensional variational data assimilation with local air concentration measurements. Journal of Environmental Radioactivity, 183, 17−26. https://doi.org/10.1016/j.jenvrad.2017.12.004. 【SCI】

    Xie, Z., Zeng, Y., J. Xia, P. Qin, B. Jia, J. Zou, and S. Liu, 2017: Coupled modeling of land hydrology-regional climate including human carbon emission and water exploitation. Advances in Climate Change Research, 8, 68–79.

    Zeng, Y., Z. Xie, Y. Yu, S. Liu, L. Wang, B. Jia, P. Qin, and Y. Chen, 2016: Ecohydrological effects of stream-aquifer water interaction: a case study of the Heihe River basin, northwestern China. Hydrology and Earth System Sciences, 20, 2333–2352. 【SCI】

    Zeng, Y., Z. Xie, Y. Yu, S. Liu, L. Wang, J. Zou, P. Qin, and B. Jia, 2016: Effects of anthropogenic water regulation and groundwater lateral flow on land processes. Journal of Advances in Modeling Earth Systems, 8, doi:10.1002/2016MS000646. 【SCI】

    Xie, Z., L. Wang, B. Jia, and X. Yuan, 2016: Measuring and modeling the impact of a severe drought on terrestrial ecosystem CO2 and water fluxes in a subtropical forest. Journal of Geophysical Research-Biogeosciences, 121, doi:10.1002/2016JG003437. 【SCI】

    van den Hurk, B., H. Kim, G. Krinner, S. I. Seneviratne, C. Derksen, T. Oki, H. Douville, J. Colin, A. Ducharne, F. Cheruy, N. Viovy, M. J. Puma, Y. Wada, W. Li, B. Jia, A. Alessandri, D. M. Lawrence, G. P. Weedon, R. Ellis, S. Hagemann, J. Mao, M. G. Flanner, M. Zampieri, S. Materia, R. M. Law, and J. Sheffield, 2016: LS3MIP (v1.0) contribution to CMIP6: the Land Surface, Snow and Soil moisture Model Intercomparison Project-aims, setup and expected outcome. Geoscientific Model Development, 9, 2809–2832, doi:10.5194/gmd-9-2809-2016. 【SCI】

    Zou, J., Z. Xie, C. Zhan, P. Qin, Q. Sun, B. Jia, and J. Xia, 2015: Effects of anthropogenic groundwater exploitation on land surface processes: A case study of the Haihe River Basin, northern China. Journal of Hydrology, 524, 625–641. 【SCI】

    Wang, Y., Z. Xie, B. Jia, and Y. Yu, 2015: Improving simulation of the terrestrial carbon cycle of China in version 4.5 of the Community Land Model using a revised Vcmax scheme. Atmospheric and Oceanic Science Letters, 8(2), 88–94.

    Xie, Z., N. Zeng, H. Wang, Z. Lin, X. Tian, and B. Jia, 2014: Past, present and future of the carbon cycle. National Science Review, 1, 18-21, doi: 10.1093/nsr/nwt021. 【SCI】

    Liu J., Z. Xie, B. Jia, X. Tian, P. Qin, J. Zou, Y. Yu, Q. Sun, Y. Wang, J. Xie, and Z. Xie, 2013: The long-term field experiment observatory and preliminary analysis of land-atmosphere interaction over hilly zone in the subtropical monsoon region of Southern China. Atmospheric and Oceanic Science Letters, 6, 203–209.

    Tian X., Z. Xie, A. Dai, B. Jia, and C. Shi, 2010: A microwave land data assimilation system: scheme and preliminary evaluation over China. Journal of Geophysical Research-Atmospheres, 115, doi:10.1029/2010JD014370. 【SCI】

    Tian, X., Z. Xie, A. Dai, C. Shi, B. Jia, F. Chen, and K. Yang, 2009: A dual-pass variational data assimilation framework for estimating soil moisture profiles from AMSR-E microwave brightness temperature. Journal of Geophysical Research-Atmospheres, 114, D16102, doi:10.1029/2008JD011600. 【SCI】

    刘建国, 谢正辉, 赵琳娜, 贾炳浩, 2013: 基于TIGGE多模式集合的24小时气温BMA概率预报. 大气科学,37(1), 43–53.

    王媛媛, 谢正辉, 贾炳浩, 于燕, 2015: 基于陆面过程模式CLM4的中国区域植被总初级生产力模拟与评估. 气候与环境研究, 20(1), 97-110.

    平凡, 刘强, 贾炳浩, 2015: 1961~2010年海河流域水汽输送与变化特征分析. 水资源研究, 4, 265–272.

    居为民, 方红亮, 田向军, 江飞, 占文凤, 刘洋, 王正兴, 何剑锋, 王绍强, 彭书时, 张永光, 周艳莲, 贾炳浩, 杨东旭, 符瑜, 李荣, 柳竟先, 王海鲲, 李贵才, 陈卓奇, 2016: 基于多源卫星遥感的高分辨率全球碳同化系统研究. 地球科学进展, 31(11), 1105–1110.

    刘军建, 师春香, 贾炳浩, 张涛, 2018: FY-2E地面太阳辐射反演及数据集评估. 遥感信息, 33(1), 104–110.

    张帅, 师春香, 梁晓, 贾炳浩, 吴捷, 2018: 风云三号积雪覆盖产品评估. 遥感技术与应用, 33(1), 35–46.

    师春香, 张帅, 孙帅, 姜立鹏, 梁晓, 贾炳浩, 吴捷, 2018: 改进的CLDAS降水驱动对中国区域积雪模拟的影响评估. 气象, 44(8), 985–997.

    谢正辉, 陈思, 秦佩华, 贾炳浩, 谢瑾博, 2019: 人类用水活动的气候反馈及其对陆地水循环的影响研究—进展与挑战. 地球科学进展, 34(8), 801–813.

    唐彦丽, 俞永强, 李立娟, 董理, 谢瑾博, 林鹏飞, 普业, 王斌, 王妍, 贾炳浩, 秦佩华, 宋米荣, 谢正辉, 2019: FGOALS-g模式及其参与CMIP6的方案. 气候变化研究进展, 15(5), 551-557.

    谢正辉, 刘斌, 延晓冬, 孟春雷, 徐宪立, 刘宇, 秦佩华, 贾炳浩, 谢瑾博, 李锐超, 王龙欢, 王妍, 陈思, 2020: 应对气候变化的城市规划实施效应评估研究. 地理科学进展, 39(1), 120-131.


论著：

    Xie, Z., X. Tian, P. Qin, B. Jia, Y. Yu, J. Zou, A. Wang, J. Liu, and Q. Sun, 2014: Land surface improvements. T. Zhou et al. (eds), Flexible Global Ocean-Atmosphere-Land System Model, Springer Earth System Sciences, DOI: 10.1007/978-3-642-41801-3_45, 383-391.

    谢正辉, 田向军, 占车生, 秦佩华, 贾炳浩等, 2017: 陆地水文-区域气候相互作用. 科学出版社.

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(LASG)，助理研究员、副研究员；

    2012年12月-2013年4月，美国马里兰大学，访问学者；

    2018年5月-2018年8月，美国伊利诺伊大学香槟分校，访问学者。

教育背景

    2006-2011年，中国科学院大气物理研究所，气象学专业，博士；

    2002-2006年，中国矿业大学(北京)理学院，信息与计算科学专业（辅修计算机科学与技术专业），学士；