• Development of a land surface model in the Earth System Model
• Land-atmosphere interaction 
• Numerical simulation of land surface eco-hydrological process
• Terrestrial water and carbon cycles
• Land data assimilation

• 2006-2011, Ph.D., Meteorology, Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences (CAS), Beijing
• 2002-2006, B.S., Mathematics, China University of Mining & Technology (Beijing), Beijing

• 2022.02-Present, Professor, LASG, Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences (CAS)
• 2016.02-2022.01, Associate Professor, LASG, Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences (CAS)
• 2018.03-2018.05, University of University of Illinois at Urbana-Champaign, Department of Civil and Environmental Engineering, visiting scientist
• 2012.12-2013.04, University of Maryland, Department of Atmospheric and Oceanic Science, visiting scientist
• 2011.7-2016.01, Assistant Professor, LASG, Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences (CAS)

[1]    Yanbin You, Zhenghui Xie*, Binghao Jia*, Yan Wang, Longhuan Wang, Ruichao Li, Heng Yan, Yuhang Tian, Si Chen. Impacts of anthropogenic water regulation on global riverine dissolved organic carbon transport. Earth System Dynamics, 2023, 14, 897-914. https://doi.org/10.5194/esd-14-897-2023.

[2]    Qing Peng, Binghao Jia*, Xin Lai, Longhuan Wang, and Qifeng Huang, 2023: Characteristics of near-surface soil freeze–thaw status using high resolution CLM5.0 simulations on the Tibetan Plateau. Atmospheric Science Letters, e1168. https://doi.org/10.1002/asl.1168.

[3]    Binghao Jia, Longhuan Wang*, and Zhenghui Xie, 2023: Increasing lake water storage on the Inner Tibetan Plateau under climate change. Science Bulletin, 68(5), 483-493. https://doi.org/10.1016/j.scib.2023.02.018.

[4]    Ruichao Li, Jinbo Xie, Zhenghui Xie*, Binghao Jia*, Junqiang Gao, Peihua Qin, Longhuan Wang, and Si Chen, 2023: Coupling of the calculated freezing and thawing front parameterization in the Earth System Model CAS-ESM. Advances in Atmospheric Sciences, 40(9), 1671-1688. https://doi.org/10.1007/s00376-023-2203-x.

[5]    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(2), 302. https://doi.org/10.3390/ atmos14020302.

[6]    Binghao Jia, Xin Luo, Longhuan Wang*, and Xin Lai, 2023: Changes in water use efficiency caused by climate change, CO2 fertilization and land use changes on the Tibetan Plateau. Advances in Atmospheric Sciences, 40, 144-154. https://doi.org/10.1007/s00376-022-2172-5.

[7]    Liu, Jianguo, 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 in Atmospheric Sciences, 40(2), 235-250. https://doi.org/10.1007/s00376-022-2172-5.

[8]    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

[9]    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 in Atmospheric Sciences, 38, 862-874, https://doi.org/10.1007/s00376-021-0293-x.

[10] 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.

[11] 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 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.

[12] 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.

[13] 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

[14] 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.

[15] 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.

[16] 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.

[17] 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.

[18] 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.

[19] 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.

[20] 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.

[21] 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.

[22] 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.

[23] Binghao Jia, 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.

[24] Binghao Jia*, 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.

[25] 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.

[26] 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.

[27] Binghao Jia, 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.

[28] 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.

[29] Qin, Peihua*, Zhenghui Xie, Binghao Jia, Shuai Sun, 2024: Characteristics of population exposure to climate extremes from regional to global 1.5 °C and 2.0 °C warming in CMIP6 models. Environmental Research Letters, 2024, 19(1), 014018. https://doi.org/10.1088/1748-9326/ad101c.

[30] Zhu, Enda, Chunxiang Shi*, Shuai Sun, Binghao Jia, Yaqiang Wang, Xing Yuan*, 2023: Hybrid assimilation of snow cover improves land surface simulations over Northern China. Journal of Hydrometeorology, 2023, 24(10), 1725-1738. https://doi.org/0.1175/JHM-D-23-0014.1  

[31] Qin, Peihua*, Zhenghui Xie, Binghao Jia, Zhenhua Di, Longhuan Wang, Ruichao Li, 2023: Performance of regional climate model RegCM4 with a hydrostatic or non-hydrostatic dynamic core at simulating precipitation extremes in China. International Journal of Climatology, 2023, 1-18. https://doi.org/10.1002/joc.8257.

[32] Qin, Peihua*, Zhenghui Xie, Binghao Jia, Rui Han, Buchun Liu, 2023: Predicting changes in population exposure to precipitation extremes over Beijing-Tianjin-Hebei urban agglomeration with regional climate model RegCM4 at convection-permitting scale. Sustainability, 2023, 15, 11923. https://doi.org/10.3390/su151511923. 

[33] Huang, Qifeng, Longhuan Wang*, Binghao Jia, Xin Lai, Qing Peng, 2023: Impact of climate change on the spatio-temporal variation of groundwater storage in the Guangdong-Hong Kong-Macao Greater Bay Area. Sustainability, 2023, 15, 10776. https://doi.org/10.3390/su151410776. 

[34] Chen, S., Z. Xie, J. Xie, B. Liu, Binghao Jia, P. Qin, L. Wang, Y. Wang, and R. Li, 2022: Impact of urbanization on the thermal environment of the Chengdu-Chongqing urban agglomeration under complex terrain. Earth System Dynamics, 13, 341-356. https://doi.org/10.5194/esd-13-341-2022.

[35] Li, R., J. Xie, Z. Xie, J. Gao, Binghao Jia, P. Qin, L. Li, B. Wang, Y. Yu, L. Dong, L. Wang, Y. Wang, B. Liu, and S. Chen, 2021: Simulated spatial and temporal distribution of freezing and thawing fronts in CAS-FGOALS-g3. Journal of Advances in Modeling Earth Systems, 13, e2020MS002152. https://doi.org/10.1029/2020MS002152.

[36] Fu, Y., H. Liao, X. Tian, H. Gao, Binghao Jia, and R. Han, 2021: Impact of prior terrestrial carbon fluxes on simulations of atmospheric CO₂ concentrations. Journal of Geophysical Research-Atmospheres, 126, e2021JD034794. https://doi.org/10.1029/2021JD034794.

[37] Wang, F., T. Yang, Z. Wang, J. Cao, B. Liu, J. Liu, S. Chen, S. Liu, and Binghao Jia, 2021: A comparison of the different stages of dust events over Beijing in March 2021: The effects of the vertical structure on near surface particle concentration. Remote Sensing, 13, 3580. https:// doi.org/10.3390/rs13183580.

[38] Xie, J., Z. Xie, Binghao Jia, P. Qin, B. Liu, L. Wang, Y. Wang, R. Li, S. Chen, S. Liu, Y. Zeng, J. Gao, L. Li, Y. Yu, L. Dong, B. Wang, and Z. Xie, 2021: Coupling of the CAS-LSM land-surface model with the CAS-FGOALS-g3 climate system model. Journal of Advances in Modeling Earth Systems, 13, e2020MS002171. https://doi.org/10.1029/2020MS002171.

[39] Liu, B., Z. Xie, S. Liu, Y. Zeng, R. Li, L. Wang, Y. Wang, Binghao Jia, P. Qin, S. Chen, J. Xie, and C. Shi, 2021: Optimal water use strategies for mitigating high urban temperatures. Hydrology and Earth System Sciences, 25, 387–400, https://doi.org/10.5194/hess-25-387-2021.

[40] Liu, B., Z. Xie, P. Qin, S. Liu, R. Li, L. Wang, Y. Wang, Binghao Jia S. Chen, J. Xie, and C. Shi, 2021: Increases in anthropogenic heat release from energy consumption lead to more frequent extreme heat events in urban cities. Advances in Atmospheric Sciences, 38, 430–445, https://doi.org/10.1007/s00376-020-0139-y.

[41] Liu, Y., D. Chen, S. Mouatadid, X. Lu, M. Chen, Y. Cheng, Z. Xie, Binghao Jia, H. Wu, and P. Gentine, 2021: Development of a daily multi-layer cropland soil moisture dataset for China using machine learning and application to cropping patterns. Journal of Hydrometeorology, 22, 445-461, https://doi.org/10.1175/JHM-D-19-0301.1

[42] Li, R., J. Xie, Z. Xie, J. Gao, Binghao Jia, P. Qin, L. Wang, Y. Wang, B. Liu, and S. Chen, 2021: Simulated response of the active layer thickness of permafrost to climate change. Atmospheric and Oceanic Science Letters, 14, 100007, https://doi.org/10.1016/j.aosl.2020.100007.

[43] Xie, Z., L. Wang, Y. Wang, B. Liu, R. Li, J. Xie, Y. Zeng, S. Liu, J. Gao, S. Chen, Binghao Jia, and P. Qin, 2020: Land surface model CAS-LSM: Model description and evaluation. Journal of Advances in Modeling Earth Systems, 12, e2020MS002339. https://doi.org/ 10.1029/2020MS002339.

[44] Wang, Y., Z. Xie, S. Liu, L. Wang, R. Li, S. Chen, Binghao Jia, P. Qin, J. Xie, 2020: Effects of anthropogenic disturbances and climate variability on riverine dissolved inorganic nitrogen transport. Journal of Advances in Modeling Earth Systems, 12, e2020MS002234. https://doi.org/10.1029/2020MS002234

[45] Wang, L., Z. Xie, J. Xie, Y. Zeng, Binghao Jia, P. Qin, L. Li, B. Wang, Y. Yu, L. Dong, Y. Wang, R. Li, B. Liu, and S. Chen, 2020: Implementation of groundwater lateral flow and human water regulation in CAS-FGOALS-g3. Journal of Geophysical Research: Atmospheres, 125, e2019JD032289,  https://doi.org/10.1029/2019JD032289.

[46] Liu, S., Z. Xie, B. Liu, Y. Wang, J. Gao, Y. Zeng, J. Xie, Z. Xie, Binghao Jia, P. Qin, R. Li, L. Wang, and S. Chen, 2020: Global river water warming due to climate change and anthropogenic heat emission. Global and Planetary Change, 193, 103289. https://doi.org/10.1016/j.gloplacha.2020.103289.

[47] Li, L., L. Dong, J. Xie, Y. Tang, F. Xie, Z. Guo, H. Liu, T. Feng, L. Wang, Y. Pu, W. Sun, K. Xia, L. Liu, Z. Xie, Y. Wang, L. Wang, X. Shi, Binghao Jia, J. Liu, and B. Wang, 2020: The GAMIL3: Model description and evaluation. Journal of Geophysical Research: Atmospheres, 125, e2020JD032574. https://doi.org/10.1029/2020JD032574. 

[48] 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, Binghao Jia, F. Xie, B. Wang, S. Zhao, Z. Yu, B. Zhao, and J. 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, 12, e2019MS002012, https://doi.org/10.1029/2019MS002012.

[49] Wang, Y., Z. Xie, Binghao Jia, L. Wang, R. Li, B. Liu, S. Chen, J. Xie, and P. Qin, 2020: Sensitivity of snow simulations to different atmospheric forcing data sets in the land surface model CAS-LSM. Journal of Geophysical Research: Atmospheres, 125, e2019JD032001. https://doi.org/10.1029/2019JD032001.

[50] Xu, J., F. Zhang, H. Jiang, H. Hu, K. Zhong, W. Jing, J. Yang, and Binghao 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

[51] Mahmood, T., Z. Xie, Binghao 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

[52] Wang, L., Z. Xie, Binghao 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.

[53] Liu, Y., E. Kalnay, N. Zeng, G. Asrar, Z. Chen, and Binghao 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. Geoscientific Model Development, 12, 2899-2914, https://doi.org/10.5194/gmd-12-2899-2019.

[54] Gao, J., Z. Xie, A. Wang, S. Liu, Y. Zeng, B. Liu, R. Li, Binghao 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.

[55] Liu, S., Z. Xie, Y. Zeng, B. Liu, R. Li, Y. Wang, L. Wang, P. Qin, Binghao 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.

[56] Xie, Z., S. Liu, Y. Zeng, J. Gao, P. Qin, Binghao 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.

[57] Xie, Z., Z. Hu, Z. Xie, Binghao 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.

[58] Zeng, Y., Z. Xie, S. Liu, J. Xie, Binghao 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/.

[59] Geng, X., Z. Xie, L. Zhang, M. Xu, and Binghao 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.

[60] Xie, Z., Zeng, Y., J. Xia, P. Qin, Binghao 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.

[61] Zeng, Y., Z. Xie, Y. Yu, S. Liu, L. Wang, Binghao 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.

[62] Zeng, Y., Z. Xie, Y. Yu, S. Liu, L. Wang, J. Zou, P. Qin, and Binghao 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.

[63] Xie, Z., L. Wang, Binghao 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.

[64] 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, Binghao 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.

[65] Zou, J., Z. Xie, C. Zhan, P. Qin, Q. Sun, Binghao 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.

[66] Wang, Y., Z. Xie, Binghao 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.

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

[68] Liu, J., Z. Xie, Binghao 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.

[69] Tian X., Z. Xie, A. Dai, Binghao 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.

[70] Tian, X., Z. Xie, A. Dai, C. Shi, Binghao 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. 

• Development of a land surface model in the Earth System Model
• Land-atmosphere interaction 
• Numerical simulation of land surface eco-hydrological process
• Terrestrial water and carbon cycles
• Land data assimilation

现指导学生

闫衡  博士研究生  070601-气象学  

尤艳彬  博士研究生  070601-气象学  

田雨航  博士研究生  070601-气象学  

武瑞雪儿  硕士研究生  070600-大气科学