Thomas Holmes

No photo available

Thomas Holmes

  • RSCH AST, EARTH SCIENCES REMOTE SENS
  • 301.614.5444
  • NASA/GSFC
  • Mail Code: 617
  • Greenbelt , MD 20771
  • Employer: NASA
  • Brief Bio

    Dr. Thomas Holmes is a Research Physical Scientist in the Hydrological Sciences Lab at NASA Goddard Space Flight Center, Greenbelt, MD. His research interests center on the utilization of the satellite data for the study of the global hydrological cycle, in particular evaporation and soil moisture. His current research focuses on the application of a new microwave-based land surface temperature product to complement existing thermal based datasets in the retrieval of evapotranspiration. He has been involved in the development of several research models and global satellite products, including the land parameter retrieval model (LPRM) for soil moisture retrieval, the community microwave emission model (CMEM) for the modeling of L-band brightness temperature, and the observation-based global land evaporation methodology (GLEAM). He obtained funding for his research through successive research grants under NASA's Science of Terra and Aqua solicitations. Dr. Holmes received his M.Sc. in eco-hydrology and Ph.D. in Earth science from VU University Amsterdam, the Netherlands.

    Positions/Employment

    5/2016 - Present

    Research Physical Scientist

    NASA Goddard Space Flight Center, Greenbelt, MD
    5/2014 - 5/2016

    Senior Research Scientist

    SSAI (at USDA HRSL), Beltsville, MD
    4/2009 - 4/2014

    Research Physical Scientist

    USDA ARS Hydrology and Remote Sensing Lab, Beltsville, MD
    6/2008 - 12/2008

    Post-doctoral researcher

    VU University Amsterdam, Amsterdam

    Selected Publications

    Refereed

    Lei, F., W. T. Crow, H. Shen, et al. C.-H. Su, T. R. Holmes, R. M. Parinussa, and G. Wang. 2018. "Assessment of the impact of spatial heterogeneity on microwave satellite soil moisture periodic error." Remote Sensing of Environment, 205: 85-99 [10.1016/j.rse.2017.11.002]

    Holmes, T. R., C. R. Hain, W. T. Crow, M. C. Anderson, and W. P. Kustas. 2018. "Microwave implementation of two-source energy balance approach for estimating evapotranspiration." Hydrology and Earth System Sciences, 22 (2): 1351-1369 [10.5194/hess-22-1351-2018]

    Kumar, S. V., T. R. Holmes, D. M. Mocko, S. Wang, and C. D. Peters-Lidard. 2018. "Attribution of flux partitioning variations between land surface models over the continental U.S." Remote Sensing, 10 (5): 751 [10.3390/rs10050751]

    Holmes, T. R., C. R. Hain, M. C. Anderson, and W. T. Crow. 2016. "Cloud tolerance of remote-sensing technologies to measure land surface temperature." Hydrology and Earth System Sciences, 20 (8): 3263-3275 [10.5194/hess-20-3263-2016]

    Holmes, T., W. Crow, C. Hain, M. Anderson, and W. Kustas. 2015. "Diurnal temperature cycle as observed by thermal infrared and microwave radiometers." Remote Sensing of Environment, 158: 110-125 [10.1016/j.rse.2014.10.031]

    Parinussa, R. M., T. R. Holmes, N. Wanders, W. A. Dorigo, and R. A. de Jeu. 2015. "A Preliminary Study toward Consistent Soil Moisture from AMSR2." Journal of Hydrometeorology, 16 (2): 932-947 [10.1175/jhm-d-13-0200.1]

    de Nijs, A. H., R. M. Parinussa, R. A. de Jeu, J. Schellekens, and T. R. Holmes. 2015. "A Methodology to Determine Radio-Frequency Interference in AMSR2 Observations." IEEE Transactions on Geoscience and Remote Sensing, 53 (9): 5148-5159 [10.1109/tgrs.2015.2417653]

    Mladenova, I., T. Jackson, E. Njoku, et al. R. Bindlish, S. Chan, M. Cosh, T. Holmes, R. de Jeu, L. Jones, J. Kimball, S. Paloscia, and E. Santi. 2014. "Remote monitoring of soil moisture using passive microwave-based techniques — Theoretical basis and overview of selected algorithms for AMSR-E." Remote Sensing of Environment, 144: 197-213 [10.1016/j.rse.2014.01.013]

    Han, E., W. T. Crow, T. Holmes, and J. D. Bolten. 2014. "Benchmarking a Soil Moisture Data Assimilation System for Agricultural Drought Monitoring." J. Hydrometeor., 15 (3): 1117–1134 [10.1175/JHM-D-13-0125.1]

    de Jeu, R. A., T. R. Holmes, R. M. Parinussa, and M. Owe. 2014. "A spatially coherent global soil moisture product with improved temporal resolution." Journal of Hydrology, 516: 284–296 [10.1016/j.jhydrol.2014.02.015]

    Holmes, T. R., W. T. Crow, and R. A. De Jeu. 2014. "Leveraging microwave polarization information for the calibration of a land data assimilation system." Geophysical Research Letters, 41 (24): 8879-8886 [10.1002/2014gl061991]

    Holmes, T., W. Crow, and C. Hain. 2013. "Spatial patterns in timing of the diurnal temperature cycle." Hydrology and Earth System Sciences, 17 (10): 3695.

    Miralles, D. G., M. J. van den Berg, J. H. Gash, et al. R. M. Parinussa, R. A. de Jeu, H. E. Beck, T. R. Holmes, C. Jiménez, N. E. Verhoest, W. A. Dorigo, A. J. Teuling, and A. Johannes Dolman. 2013. "El Niño–La Niña cycle and recent trends in continental evaporation." Nature Climate Change, 4 (2): 122-126 [10.1038/nclimate2068]

    Holmes, T. R., T. Jackson, R. Reichle, and J. Basara. 2012. "An assessment of surface soil temperature products from numerical weather prediction models using ground-based measurements." Water Resour. Res., 48 (2): W02531 [10.1029/2011WR010538]

    Owe, M., R. Jeu, and T. Holmes. 2008. "Multisensor historical climatology of satellite-derived global land surface moisture." J. Geophys. Res., 113 (F1): F01002 [10.1029/2007JF000769]

    Holmes, H., M. Owe, R. A. De Jeu, and H. Kooi. 2008. "Estimating the soil temperature profile from a single depth observation: A simple empirical heatflow solution." Water Resour. Res., 44 (2): W02412 [10.1029/2007WR005994]

    Talks, Presentations and Posters

    Invited

    Global mapping of Evaporation in the presence of clouds

    4 / 26 / 2018

    Spring seminar series, Department of Earth and Ocean Sciences, University of South Carolina

    Other

    Evaluation the application of thermal infrared and microwave surface temperature observations in the retrieval of evapotranspiration under clear sky conditions.

    5 / 2018

    Poster presentation during GEWEX 2018 in Canberra, CA.

    Microwave based implementation of a two-source energy balance model to estimate evapotranspiration

    4 / 28 / 2017

    There is a need for observation-based methodologies to estimate evapotranspiration (ET) at diverse spatial domains. The ALEXI methodology (Atmosphere Land Exchange Inverse) is a time difference implementation of the two-source energy balance method and provides diagnostic estimates of actual ET. ALEXI has been implemented with thermal infrared (TIR) observations at diverse spatial scales to estimate crop water use, as an indicator of agricultural drought, and for the study hydrological impacts of climate variations and land-use change.
    While TIR is the most direct measurement of physical land surface temperature (LST), sole reliance on TIR limits the sampling to clear skies. It also impacts the accuracy if the cloud masking fails. Passive microwave (MW) methods to estimate LST could help to overcome this limitation and provide a more cloud tolerant alternative to TIR. As a first test of the functioning of a MW-based LST within the ALEXI framework we ran two parallel implementations of ALEXI, one with TIR-LST (MODIS), and one with MW-LST (without any calibrations to accommodate MW-LST). This paper presents an analysis of the clear sky ET estimates for the years 2003-2013 and explores the level of agreement between the MW- and TIR-based ET and derived stress indices.
     

    Brief Bio

    Dr. Thomas Holmes is a Research Physical Scientist in the Hydrological Sciences Lab at NASA Goddard Space Flight Center, Greenbelt, MD. His research interests center on the utilization of the satellite data for the study of the global hydrological cycle, in particular evaporation and soil moisture. His current research focuses on the application of a new microwave-based land surface temperature product to complement existing thermal based datasets in the retrieval of evapotranspiration. He has been involved in the development of several research models and global satellite products, including the land parameter retrieval model (LPRM) for soil moisture retrieval, the community microwave emission model (CMEM) for the modeling of L-band brightness temperature, and the observation-based global land evaporation methodology (GLEAM). He obtained funding for his research through successive research grants under NASA's Science of Terra and Aqua solicitations. Dr. Holmes received his M.Sc. in eco-hydrology and Ph.D. in Earth science from VU University Amsterdam, the Netherlands.

    Selected Publications

    Refereed

    Lei, F., W. T. Crow, H. Shen, et al. C.-H. Su, T. R. Holmes, R. M. Parinussa, and G. Wang. 2018. "Assessment of the impact of spatial heterogeneity on microwave satellite soil moisture periodic error." Remote Sensing of Environment 205 85-99 [10.1016/j.rse.2017.11.002]

    Holmes, T. R., C. R. Hain, W. T. Crow, M. C. Anderson, and W. P. Kustas. 2018. "Microwave implementation of two-source energy balance approach for estimating evapotranspiration." Hydrology and Earth System Sciences 22 (2): 1351-1369 [10.5194/hess-22-1351-2018]

    Kumar, S. V., T. R. Holmes, D. M. Mocko, S. Wang, and C. D. Peters-Lidard. 2018. "Attribution of flux partitioning variations between land surface models over the continental U.S." Remote Sensing 10 (5): 751 [10.3390/rs10050751]

    Holmes, T. R., C. R. Hain, M. C. Anderson, and W. T. Crow. 2016. "Cloud tolerance of remote-sensing technologies to measure land surface temperature." Hydrology and Earth System Sciences 20 (8): 3263-3275 [10.5194/hess-20-3263-2016]

    Holmes, T., W. Crow, C. Hain, M. Anderson, and W. Kustas. 2015. "Diurnal temperature cycle as observed by thermal infrared and microwave radiometers." Remote Sensing of Environment 158 110-125 [10.1016/j.rse.2014.10.031]

    Parinussa, R. M., T. R. Holmes, N. Wanders, W. A. Dorigo, and R. A. de Jeu. 2015. "A Preliminary Study toward Consistent Soil Moisture from AMSR2." Journal of Hydrometeorology 16 (2): 932-947 [10.1175/jhm-d-13-0200.1]

    de Nijs, A. H., R. M. Parinussa, R. A. de Jeu, J. Schellekens, and T. R. Holmes. 2015. "A Methodology to Determine Radio-Frequency Interference in AMSR2 Observations." IEEE Transactions on Geoscience and Remote Sensing 53 (9): 5148-5159 [10.1109/tgrs.2015.2417653]

    Mladenova, I., T. Jackson, E. Njoku, et al. R. Bindlish, S. Chan, M. Cosh, T. Holmes, R. de Jeu, L. Jones, J. Kimball, S. Paloscia, and E. Santi. 2014. "Remote monitoring of soil moisture using passive microwave-based techniques — Theoretical basis and overview of selected algorithms for AMSR-E." Remote Sensing of Environment 144 197-213 [10.1016/j.rse.2014.01.013]

    Han, E., W. T. Crow, T. Holmes, and J. D. Bolten. 2014. "Benchmarking a Soil Moisture Data Assimilation System for Agricultural Drought Monitoring." J. Hydrometeor. 15 (3): 1117–1134 [10.1175/JHM-D-13-0125.1]

    de Jeu, R. A., T. R. Holmes, R. M. Parinussa, and M. Owe. 2014. "A spatially coherent global soil moisture product with improved temporal resolution." Journal of Hydrology 516 284–296 [10.1016/j.jhydrol.2014.02.015]

    Holmes, T. R., W. T. Crow, and R. A. De Jeu. 2014. "Leveraging microwave polarization information for the calibration of a land data assimilation system." Geophysical Research Letters 41 (24): 8879-8886 [10.1002/2014gl061991]

    Holmes, T., W. Crow, and C. Hain. 2013. "Spatial patterns in timing of the diurnal temperature cycle." Hydrology and Earth System Sciences 17 (10): 3695

    Miralles, D. G., M. J. van den Berg, J. H. Gash, et al. R. M. Parinussa, R. A. de Jeu, H. E. Beck, T. R. Holmes, C. Jiménez, N. E. Verhoest, W. A. Dorigo, A. J. Teuling, and A. Johannes Dolman. 2013. "El Niño–La Niña cycle and recent trends in continental evaporation." Nature Climate Change 4 (2): 122-126 [10.1038/nclimate2068]

    Holmes, T. R., T. Jackson, R. Reichle, and J. Basara. 2012. "An assessment of surface soil temperature products from numerical weather prediction models using ground-based measurements." Water Resour. Res. 48 (2): W02531 [10.1029/2011WR010538]

    Owe, M., R. Jeu, and T. Holmes. 2008. "Multisensor historical climatology of satellite-derived global land surface moisture." J. Geophys. Res. 113 (F1): F01002 [10.1029/2007JF000769]

    Holmes, H., M. Owe, R. A. De Jeu, and H. Kooi. 2008. "Estimating the soil temperature profile from a single depth observation: A simple empirical heatflow solution." Water Resour. Res. 44 (2): W02412 [10.1029/2007WR005994]

                                                                                                                                                                                            
    NASA Logo, National Aeronautics and Space Administration