Bailing LI

Bailing LI

  • ASST. RESEARCH SCIENTIST
  • 301.286.6020
  • NASA/GSFC
  • Mail Code: 617
  • Greenbelt , MD 20771
  • Employer: UNIVERSITY OF MARYLAND
  • Brief Bio

    Dr. Bailing Li is a research scientist working at Goddard's Hydrological Sciences Laboratory.  Her research focuses on integrating remote sensing data into numerical hydrological models to improve simulation of subsurface processes (soil moisture and groundwater). She was the lead researcher on assimilating GRACE/GRACE FO data into a land surface model for global groundwater drought monitoring (https://nasagrace.unl.edu/) and one of the lead developers on the Western Land Data Assimilation System (WLDAS, https://ldas.gsfc.nasa.gov/wldas/wldas-project-goals).

    Positions/Employment

    1999 - 2007

    Program Analyst/Task lead

    SAIC, Silver Spring, MD
    2007 - 2010

    Program Analyst

    SAIC/NASA Goddard Space Flight Center, Greenbelt, MD
    2010 - 2016

    Research Associate/NASA Goddard Space Flight Center

    ESSIC University of Maryland, Greenbelt, MD
    2017 - Present

    Assistant Research Scientist

    ESSIC University of Maryland/NASA Goddard Space Flight Center, College Park, Maryland

    Publications

    Refereed

    Erlingis, J. M., M. Rodell, C. D. Peters‐Lidard, et al. B. Li, S. V. Kumar, J. S. Famiglietti, S. L. Granger, J. V. Hurley, P. Liu, and D. M. Mocko. 2021. "A High‐Resolution Land Data Assimilation System Optimized for the Western United States." JAWRA Journal of the American Water Resources Association, 1-19 [10.1111/1752-1688.12910]

    Li, B., M. Rodell, C. Peters-Lidard, et al. J. Erlingis, S. Kumar, and D. Mocko. 2020. "Groundwater recharge estimated by land surface models: an evaluation in the conterminous U.S.." Journal of Hydrometeorology, (Accepted) [10.1175/jhm-d-20-0130.1]

    Li, B., and M. Rodell. 2020. "Chapter 11 Groundwater Drought: environmental controls and monitoring [in "Global Groundwater", Editors: Mukherjee et al]." Elsevier, ISBN: Paperback ISBN: 9780128181720 eBook ISBN: 9780128181737.

    Nie, W., B. F. Zaitchik, M. Rodell, et al. S. V. Kumar, K. R. Arsenault, B. Li, and A. Getirana. 2019. "Assimilating GRACE Into a Land Surface Model in the Presence of an Irrigation‐Induced Groundwater Trend." Water Resources Research, 2019WR025363 [10.1029/2019wr025363]

    Jasinski, M. F., J. S. Borak, S. V. Kumar, et al. D. M. Mocko, C. D. Peters-Lidard, M. Rodell, H. Rui, H. K. Beaudoing, B. E. Vollmer, K. R. Arsenault, B. Li, J. D. Bolten, and N. Tangdamrongsub. 2019. "NCA-LDAS Noah-3.3 Land Surface Model L4 Trends 0.125 x 0.125 degree V2.0, Annual Trends Data Product." Goddard Earth Sciences Data and Information Services Center (GES DISC), v 2.0: [10.5067/QFZZBKCO5YJG]

    Li, B., M. Rodell, S. Kumar, et al. H. K. Beaudoing, A. Getirana, B. F. Zaitchik, L. G. Goncalves, C. Cossetin, S. Bhanja, A. Mukherjee, S. Tian, N. Tangdamrongsub, D. Long, J. Nanteza, J. Lee, F. Policelli, I. B. Goni, D. Daira, M. Bila, G. Lannoy, D. M. Mocko, S. C. Steele‐Dunne, H. Save, and S. Bettadpur. 2019. "Global GRACE data assimilation for groundwater and drought monitoring: Advances and challenges." Water Resour. Res., 55: 7564-7586 [10.1029/2018wr024618]

    Jasinski, M. F., J. S. Borak, S. V. Kumar, et al. D. M. Mocko, C. D. Peters-Lidard, M. Rodell, H. Rui, H. K. Beaudoing, B. E. Vollmer, K. R. Arsenault, B. Li, J. D. Bolten, and N. Tangdamrongsub. 2019. "NCA-LDAS: Overview and analysis of hydrologic trends for the National Climate Assessment." J. Hydrometeor., 20: 1595-1617 [10.1175/JHM-D-17-0234.1]

    Kumar, S. V., M. F. Jasinski, D. M. Mocko, et al. M. Rodell, J. S. Borak, B. Li, H. K. Beaudoing, and C. D. Peters-Lidard. 2019. "NCA-LDAS land analysis: Development and performance of a multisensor, multivariate land data assimilation system for the National Climate Assessment." J. Hydrometeor., 20: 1571-1593 [10.1175/JHM-D-17-0125.1]

    Li, B., M. Rodell, J. Sheffield, E. Wood, and E. Sutanudjaja. 2019. "Long-term, non-anthropogenic groundwater storage changes simulated by three global-scale hydrological models." Scientific Reports, 9 (1): 10746 [10.1038/s41598-019-47219-z]

    Arsenault, K. R., S. V. Kumar, J. V. Geiger, et al. S. Wang, E. Kemp, D. M. Mocko, H. K. Beaudoing, A. Getirana, M. Navari, B. Li, J. Jacob, J. Wegiel, and C. D. Peters-Lidard. 2018. "The Land surface Data Toolkit (LDT v7.2) – a data fusion environment for land data assimilation systems." Geosci. Model Dev., 11 (9): 3605-3621 [10.5194/gmd-11-3605-2018]

    Jasinski, M. F., S. V. Kumar, J. S. Borak, et al. D. M. Mocko, C. D. Peters-Lidard, M. Rodell, H. Rui, H. K. Beaudoing, K. R. Arsenault, B. Li, and J. D. Bolten. 2018. "NCA-LDAS Noah-3.3 Land Surface Model L4 Daily 0.125 x 0.125 degree V2.0, Daily Data." Goddard Earth Sciences Data and Information Services Center (GES DISC), Greenbelt, Maryland, USA, Version 2.0: [10.5067/7V3N5DO04MAS]

    Xia, Y., D. M. Mocko, M. Huang, et al. B. Li, M. Rodell, K. E. Mitchell, X. Cai, and M. B. Ek. 2017. "Comparison and assessment of three advanced land surface models in simulating terrestrial water storage components over the United States." J. Hydrometeor., 18 (3): 625-649 [10.1175/jhm-d-16-0112.1]

    Bhanja, S. N., M. Rodell, B. Li, D. Saha, and A. Mukherjee. 2017. "Spatio-temporal variability of groundwater storage in India." Journal of Hydrology, 544: 428-437 [10.1016/j.jhydrol.2016.11.052]

    Kumar, S. V., B. F. Zaitchik, C. D. Peters-Lidard, et al. M. Rodell, R. H. Reichle, B. Li, M. F. Jasinski, D. M. Mocko, A. Getirana, G. J. De Lannoy, M. H. Cosh, C. R. Hain, M. Anderson, K. R. Arsenault, Y. Xia, and M. Ek. 2016. "Assimilation of gridded GRACE terrestrial water storage estimates in the North American Land Data Assimilation System." J. Hydrometeor., 17 (7): 1951-1972 [10.1175/jhm-d-15-0157.1]

    Reager, J., A. Thomas, E. Sproles, et al. M. Rodell, H. Beaudoing, B. Li, and J. Famiglietti. 2015. "Assimilation of GRACE Terrestrial Water Storage Observations into a Land Surface Model for the Assessment of Regional Flood Potential." Remote Sensing, 7 (11): 14663-14679 [10.3390/rs71114663]

    Li, B., M. Rodell, and J. S. Famiglietti. 2015. "Groundwater variability across temporal and spatial scales in the central and northeastern U.S." Journal of Hydrology, 525: 769-780 [10.1016/j.jhydrol.2015.04.033]

    Li, B., and M. Rodell. 2015. "Evaluation of a model-based groundwater drought indicator in the conterminous U.S." Journal of Hydrology, 526: 78-88 [10.1016/j.jhydrol.2014.09.027]

    Li, B., and M. Rodell. 2013. "Spatial variability and its scale dependency of observed and modeled soil moisture over different climate regions." Hydrology and Earth System Sciences, 17 (3): 1177-1188 [10.5194/hess-17-1177-2013]

    Li, B., D. Toll, X. Zhan, and B. Cosgrove. 2012. "Improving estimated soil moisture fields through assimilation of AMSR-E soil moisture retrievals with an ensemble Kalman filter and a mass conservation constraint." Hydrology and Earth System Sciences, 16 (1): 105-119 [10.5194/hess-16-105-2012]

    Li, B., M. Rodell, B. F. Zaitchik, et al. R. H. Reichle, R. D. Koster, and T. M. van Dam. 2012. "Assimilation of GRACE terrestrial water storage into a land surface model: Evaluation and potential value for drought monitoring in western and central Europe." Journal of Hydrology, 446-447: 103-115 [10.1016/j.jhydrol.2012.04.035]

    Houborg, R., M. Rodell, B. Li, R. Reichle, and B. F. Zaitchik. 2012. "Drought indicators based on model-assimilated Gravity Recovery and Climate Experiment (GRACE) terrestrial water storage observations." Water Resour. Res., 48 (7): W07525 [Full Text (Link)] [10.1029/2011WR011291]

    Li, B., and T.-C. Yeh. 1999. "Cokriging estimation of conductivity field under variably saturated flow conditions." Water Resources Research, 35 (12): 3663-3674.

    Li, B., and T.-C. Yeh. 1998. "Sensitivity and moment analyses of head in variably saturated regimes." Advances in Water Resources, 21: 477-485.

    Non-Refereed

    Rodell, M., B. Li, and D. Wiese. 2020. "Groundwater and terrestrial water storage [in "State of the Climate in 2019"]." Bulletin of the American Meteorological Society 101 (8): S1-S429 [10.1175/2020bamsstateoftheclimate.1]

    Brief Bio

    Dr. Bailing Li is a research scientist working at Goddard's Hydrological Sciences Laboratory.  Her research focuses on integrating remote sensing data into numerical hydrological models to improve simulation of subsurface processes (soil moisture and groundwater). She was the lead researcher on assimilating GRACE/GRACE FO data into a land surface model for global groundwater drought monitoring (https://nasagrace.unl.edu/) and one of the lead developers on the Western Land Data Assimilation System (WLDAS, https://ldas.gsfc.nasa.gov/wldas/wldas-project-goals).

    Publications

    Refereed

    Erlingis, J. M., M. Rodell, C. D. Peters‐Lidard, et al. B. Li, S. V. Kumar, J. S. Famiglietti, S. L. Granger, J. V. Hurley, P. Liu, and D. M. Mocko. 2021. "A High‐Resolution Land Data Assimilation System Optimized for the Western United States." JAWRA Journal of the American Water Resources Association 1-19 [10.1111/1752-1688.12910]

    Li, B., M. Rodell, C. Peters-Lidard, et al. J. Erlingis, S. Kumar, and D. Mocko. 2020. "Groundwater recharge estimated by land surface models: an evaluation in the conterminous U.S.." Journal of Hydrometeorology (Accepted) [10.1175/jhm-d-20-0130.1]

    Li, B., and M. Rodell. 2020. "Chapter 11 Groundwater Drought: environmental controls and monitoring [in "Global Groundwater", Editors: Mukherjee et al]."

    Nie, W., B. F. Zaitchik, M. Rodell, et al. S. V. Kumar, K. R. Arsenault, B. Li, and A. Getirana. 2019. "Assimilating GRACE Into a Land Surface Model in the Presence of an Irrigation‐Induced Groundwater Trend." Water Resources Research 2019WR025363 [10.1029/2019wr025363]

    Jasinski, M. F., J. S. Borak, S. V. Kumar, et al. D. M. Mocko, C. D. Peters-Lidard, M. Rodell, H. Rui, H. K. Beaudoing, B. E. Vollmer, K. R. Arsenault, B. Li, J. D. Bolten, and N. Tangdamrongsub. 2019. "NCA-LDAS Noah-3.3 Land Surface Model L4 Trends 0.125 x 0.125 degree V2.0, Annual Trends Data Product." Goddard Earth Sciences Data and Information Services Center (GES DISC) v 2.0 [10.5067/QFZZBKCO5YJG]

    Li, B., M. Rodell, S. Kumar, et al. H. K. Beaudoing, A. Getirana, B. F. Zaitchik, L. G. Goncalves, C. Cossetin, S. Bhanja, A. Mukherjee, S. Tian, N. Tangdamrongsub, D. Long, J. Nanteza, J. Lee, F. Policelli, I. B. Goni, D. Daira, M. Bila, G. Lannoy, D. M. Mocko, S. C. Steele‐Dunne, H. Save, and S. Bettadpur. 2019. "Global GRACE data assimilation for groundwater and drought monitoring: Advances and challenges." Water Resour. Res. 55 7564-7586 [10.1029/2018wr024618]

    Jasinski, M. F., J. S. Borak, S. V. Kumar, et al. D. M. Mocko, C. D. Peters-Lidard, M. Rodell, H. Rui, H. K. Beaudoing, B. E. Vollmer, K. R. Arsenault, B. Li, J. D. Bolten, and N. Tangdamrongsub. 2019. "NCA-LDAS: Overview and analysis of hydrologic trends for the National Climate Assessment." J. Hydrometeor. 20 1595-1617 [10.1175/JHM-D-17-0234.1]

    Kumar, S. V., M. F. Jasinski, D. M. Mocko, et al. M. Rodell, J. S. Borak, B. Li, H. K. Beaudoing, and C. D. Peters-Lidard. 2019. "NCA-LDAS land analysis: Development and performance of a multisensor, multivariate land data assimilation system for the National Climate Assessment." J. Hydrometeor. 20 1571-1593 [10.1175/JHM-D-17-0125.1]

    Li, B., M. Rodell, J. Sheffield, E. Wood, and E. Sutanudjaja. 2019. "Long-term, non-anthropogenic groundwater storage changes simulated by three global-scale hydrological models." Scientific Reports 9 (1): 10746 [10.1038/s41598-019-47219-z]

    Arsenault, K. R., S. V. Kumar, J. V. Geiger, et al. S. Wang, E. Kemp, D. M. Mocko, H. K. Beaudoing, A. Getirana, M. Navari, B. Li, J. Jacob, J. Wegiel, and C. D. Peters-Lidard. 2018. "The Land surface Data Toolkit (LDT v7.2) – a data fusion environment for land data assimilation systems." Geosci. Model Dev. 11 (9): 3605-3621 [10.5194/gmd-11-3605-2018]

    Jasinski, M. F., S. V. Kumar, J. S. Borak, et al. D. M. Mocko, C. D. Peters-Lidard, M. Rodell, H. Rui, H. K. Beaudoing, K. R. Arsenault, B. Li, and J. D. Bolten. 2018. "NCA-LDAS Noah-3.3 Land Surface Model L4 Daily 0.125 x 0.125 degree V2.0, Daily Data." Goddard Earth Sciences Data and Information Services Center (GES DISC), Greenbelt, Maryland, USA Version 2.0 [10.5067/7V3N5DO04MAS]

    Xia, Y., D. M. Mocko, M. Huang, et al. B. Li, M. Rodell, K. E. Mitchell, X. Cai, and M. B. Ek. 2017. "Comparison and assessment of three advanced land surface models in simulating terrestrial water storage components over the United States." J. Hydrometeor. 18 (3): 625-649 [10.1175/jhm-d-16-0112.1]

    Bhanja, S. N., M. Rodell, B. Li, D. Saha, and A. Mukherjee. 2017. "Spatio-temporal variability of groundwater storage in India." Journal of Hydrology 544 428-437 [10.1016/j.jhydrol.2016.11.052]

    Kumar, S. V., B. F. Zaitchik, C. D. Peters-Lidard, et al. M. Rodell, R. H. Reichle, B. Li, M. F. Jasinski, D. M. Mocko, A. Getirana, G. J. De Lannoy, M. H. Cosh, C. R. Hain, M. Anderson, K. R. Arsenault, Y. Xia, and M. Ek. 2016. "Assimilation of gridded GRACE terrestrial water storage estimates in the North American Land Data Assimilation System." J. Hydrometeor. 17 (7): 1951-1972 [10.1175/jhm-d-15-0157.1]

    Reager, J., A. Thomas, E. Sproles, et al. M. Rodell, H. Beaudoing, B. Li, and J. Famiglietti. 2015. "Assimilation of GRACE Terrestrial Water Storage Observations into a Land Surface Model for the Assessment of Regional Flood Potential." Remote Sensing 7 (11): 14663-14679 [10.3390/rs71114663]

    Li, B., M. Rodell, and J. S. Famiglietti. 2015. "Groundwater variability across temporal and spatial scales in the central and northeastern U.S." Journal of Hydrology 525 769-780 [10.1016/j.jhydrol.2015.04.033]

    Li, B., and M. Rodell. 2015. "Evaluation of a model-based groundwater drought indicator in the conterminous U.S." Journal of Hydrology 526 78-88 [10.1016/j.jhydrol.2014.09.027]

    Li, B., and M. Rodell. 2013. "Spatial variability and its scale dependency of observed and modeled soil moisture over different climate regions." Hydrology and Earth System Sciences 17 (3): 1177-1188 [10.5194/hess-17-1177-2013]

    Li, B., D. Toll, X. Zhan, and B. Cosgrove. 2012. "Improving estimated soil moisture fields through assimilation of AMSR-E soil moisture retrievals with an ensemble Kalman filter and a mass conservation constraint." Hydrology and Earth System Sciences 16 (1): 105-119 [10.5194/hess-16-105-2012]

    Li, B., M. Rodell, B. F. Zaitchik, et al. R. H. Reichle, R. D. Koster, and T. M. van Dam. 2012. "Assimilation of GRACE terrestrial water storage into a land surface model: Evaluation and potential value for drought monitoring in western and central Europe." Journal of Hydrology 446-447 103-115 [10.1016/j.jhydrol.2012.04.035]

    Houborg, R., M. Rodell, B. Li, R. Reichle, and B. F. Zaitchik. 2012. "Drought indicators based on model-assimilated Gravity Recovery and Climate Experiment (GRACE) terrestrial water storage observations." Water Resour. Res. 48 (7): W07525 [Full Text (Link)] [10.1029/2011WR011291]

    Li, B., and T.-C. Yeh. 1999. "Cokriging estimation of conductivity field under variably saturated flow conditions." Water Resources Research 35 (12): 3663-3674

    Li, B., and T.-C. Yeh. 1998. "Sensitivity and moment analyses of head in variably saturated regimes." Advances in Water Resources 21 477-485

    Non-Refereed

    Rodell, M., B. Li, and D. Wiese. 2020. "Groundwater and terrestrial water storage [in "State of the Climate in 2019"]." Bulletin of the American Meteorological Society 101 (8): S1-S429 [10.1175/2020bamsstateoftheclimate.1]

                                                                                                                                                                                            
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