Hiroko Kato Beaudoing

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Hiroko Kato Beaudoing

  • COMPUTER SCIENTIST
  • 301.254.1538
  • NASA/GSFC
  • Mail Code: 617
  • COLLEGE PARK , MD 207420001
  • Employer: UNIVERSITY OF MARYLAND
  • Brief Bio

    Ms. Hiroko Beaudoing (Kato) received a BS in Meteorology from Texas A&M University in 2001 and a MS in Atmospheric and Oceanic Sciences from the University of Maryland, College Park in 2003. Her graduate study focused on derivation of high resolution surface radiation budget over Amazon using a geostationary satellite data and studying impact of biomass burning on shortwave fluxes. She joined ESSIC as a faculty research assistant in June 2004 and has been working for the Global Land Data Assimilation System (GLDAS) project at Hydrological Sciences Lab, NASA/GSFC. Her current research focuses on improving estimation of states and fluxes by land surface models and understanding of terrestrial water and energy cycle at global scale. 

    Research Interests

    Land Surface Modeling

    Water and energy cycles climatology and monitoring.
    Use of remote sensing data in land surface modeling and evaluation.
    Irrigation impacts on surface water and energy balance in continental to global scale.
     

    Current Projects

    Global Land Data Assimilation System (GLDAS)

    Project website: https://ldas.gsfc.nasa.gov/index.php

    GRACE Drought Monitor

    Groundwater and Soil Moisture Conditions from GRACE Data Assimilation for the US Drougt Monitor.  Project website: http://nasagrace.unl.edu/Default.aspx

    Positions/Employment

    10/2015 - Present

    Faculty Specialist / Computer Scientist

    ESSIC, University of Maryland, College Park / Hydrological Sciences Laboratory, NASA/GSFC, Greenbelt, MD

    Supervisor: Dr. Matthew Rodell. Support the Global Land Data Assimilation Systems (GLDAS) project through massive data management/archive, land surface modeling, code development, and products delivery. Implement irrigation in global land surface simulations. Support the drought monitor project using the GRACE satellite observation.

    6/2004 - 10/2015

    Faculty Research Assistant / Computer Scientist

    ESSIC, University of Maryland, College Park / Hydrological Sciences Laboratory, NASA/GSFC, Greenbelt, MD

    Supervisor: Dr. Matthew Rodell. Support the Global Land Data Assimilation Systems (GLDAS) project through massive data management/archive, land surface modeling, code development, and products delivery. Implement irrigation in global land surface simulations. Support the drought monitor project using the GRACE satellite observation.

    1/2002 - 5/2004

    Graduate Research Assistant

    Department of Meteorology, University of Maryland, College Park, MD

    Derived high resolution shortwave radiation budget over Amazon basin using the GOES satellite data.

    Education

    M.S., Meteorology, 2003, University of Maryland, College Park, MD
    B.S., Atmospheric Science, 2001, Texas A&M University, College Station, TX
    A.S., Physics, 1999, Blinn College, Brian, TX
     

    Selected Publications

    Refereed

    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. 2018. "NCA-LDAS land analysis: Development and performance of a multisensor, multivariate land data assimilation system for the National Climate Assessment." J. Hydrometeor., (Accepted) [10.1175/JHM-D-17-0125.1]

    Toure, A. M., M. Rodell, Z.-L. Yang, et al. H. Beaudoing, E. Kim, Y. Zhang, and Y. Kwon. 2016. "Evaluation of the Snow Simulations from the Community Land Model, Version 4 (CLM4)." Journal of Hydrometeorology, 17 (1): 153-170 [10.1175/jhm-d-14-0165.1]

    Rodell, M., H. K. Beaudoing, R. D. Koster, et al. C. D. Peters-Lidard, J. S. Famiglietti, and V. Lakshmi. 2016. "Chapter 92: Large-Scale and Global Hydrology." Handbook of Applied Hydrology, New York: 92.1-92.7, ISBN: 978-0-07-183509-1.

    Rodell, M., H. K. Beaudoing, T. S. L’Ecuyer, et al. W. S. Olson, J. S. Famiglietti, P. R. Houser, R. F. Adler, M. G. Bosilovich, C. A. Clayson, D. Chambers, E. Clark, E. J. Fetzer, X. Gao, G. Gu, K. Hilburn, G. J. Huffman, D. P. Lettenmaier, W. T. Liu, F. R. Robertson, C. A. Schlosser, J. Sheffield, and E. F. Wood. 2015. "The Observed State of the Water Cycle in the Early Twenty-First Century." Journal of Climate, 28 (21): 8289–8318 [10.1175/JCLI-D-14-00555.1]

    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]

    Rodell, M., B. McWilliams, S. Famiglietti, H. Beaudoing, and J. Nigro. 2011. "Estimating evapotranspiration using an observation based terrestrial water budget." Hydrological Processes, 25 (26): 4082–4092 [10.1002/hyp.8369]

    Ozdogan, M., M. Rodell, H. Beaudoing, and D. Toll. 2010. "Simulating the Effects of Irrigation over the United States in a Land Surface Model Based on Satellite-Derived Agricultural Data." J. Hydrometeor, 11 (1): 171-184 [10.1175/2009JHM1116.1]

    Brief Bio

    Ms. Hiroko Beaudoing (Kato) received a BS in Meteorology from Texas A&M University in 2001 and a MS in Atmospheric and Oceanic Sciences from the University of Maryland, College Park in 2003. Her graduate study focused on derivation of high resolution surface radiation budget over Amazon using a geostationary satellite data and studying impact of biomass burning on shortwave fluxes. She joined ESSIC as a faculty research assistant in June 2004 and has been working for the Global Land Data Assimilation System (GLDAS) project at Hydrological Sciences Lab, NASA/GSFC. Her current research focuses on improving estimation of states and fluxes by land surface models and understanding of terrestrial water and energy cycle at global scale. 

    Selected Publications

    Refereed

    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. 2018. "NCA-LDAS land analysis: Development and performance of a multisensor, multivariate land data assimilation system for the National Climate Assessment." J. Hydrometeor. (Accepted) [10.1175/JHM-D-17-0125.1]

    Toure, A. M., M. Rodell, Z.-L. Yang, et al. H. Beaudoing, E. Kim, Y. Zhang, and Y. Kwon. 2016. "Evaluation of the Snow Simulations from the Community Land Model, Version 4 (CLM4)." Journal of Hydrometeorology 17 (1): 153-170 [10.1175/jhm-d-14-0165.1]

    Rodell, M., H. K. Beaudoing, R. D. Koster, et al. C. D. Peters-Lidard, J. S. Famiglietti, and V. Lakshmi. 2016. "Chapter 92: Large-Scale and Global Hydrology." Handbook of Applied Hydrology 92.1-92.7

    Rodell, M., H. K. Beaudoing, T. S. L’Ecuyer, et al. W. S. Olson, J. S. Famiglietti, P. R. Houser, R. F. Adler, M. G. Bosilovich, C. A. Clayson, D. Chambers, E. Clark, E. J. Fetzer, X. Gao, G. Gu, K. Hilburn, G. J. Huffman, D. P. Lettenmaier, W. T. Liu, F. R. Robertson, C. A. Schlosser, J. Sheffield, and E. F. Wood. 2015. "The Observed State of the Water Cycle in the Early Twenty-First Century." Journal of Climate 28 (21): 8289–8318 [10.1175/JCLI-D-14-00555.1]

    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]

    Rodell, M., B. McWilliams, S. Famiglietti, H. Beaudoing, and J. Nigro. 2011. "Estimating evapotranspiration using an observation based terrestrial water budget." Hydrological Processes 25 (26): 4082–4092 [10.1002/hyp.8369]

    Ozdogan, M., M. Rodell, H. Beaudoing, and D. Toll. 2010. "Simulating the Effects of Irrigation over the United States in a Land Surface Model Based on Satellite-Derived Agricultural Data." J. Hydrometeor 11 (1): 171-184 [10.1175/2009JHM1116.1]

                                                                                                                                                                                            
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