Home > Meet our faculty > Dr. Natthachet Tangdamrongsub

Dr. Natthachet Tangdamrongsub

Assistant Professor
Water Engineering and Management (WEM)
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  • 2007 – 2012: PhD, Civil Engineering, National Chiao Tung University, Taiwan
  • 2005 – 2007: MSE., Radio Astronomy and Space Sciences, Chalmers University of Technology, Sweden
  • 2000 – 2004: BEng, Electrical Engineering, Thammasat University, Thailand
  • Hydrology and land surface modeling
  • Data assimilation
  • Remote sensing of environment
  • Natural hazards
  • Flood and drought analysis
  • Artificial intelligence
  • Flood and drought analysis
  • Statistical optimization
  • EIA and GIS Applications in Water Resources
  • Big Data & AI in Hydrology Analysis
  • Radar Hydrology
  • Dong, J., Crow, W.T., Chen, X., Tangdamrongsub, N., Gao, M., Sun, S., Qiu, J., Wei, L.,Gao, H., Duan, Z., 2022. Statistical uncertainty analysis-based precipitation merging (SUPER): A new framework for improved global precipitation estimation. Remote Sensing of Environment 283, 113299. https://doi.org/10.1016/j.rse.2022.113299
  • Tangdamrongsub, N., Dong, J., Shellito, P., 2022. Assessing Performances of Multivariate Data Assimilation Algorithms with SMOS, SMAP, and GRACE Observations for Improved Soil Moisture and Groundwater Analyses. Water 14, 621. https://doi.org/10.3390/w14040621
  • Prabnakorn, S., Ruangpan, L., Tangdamrongsub, N., Suryadi, F.X., de Fraiture, C., 2021. Improving flood and drought management in agricultural river basins: an application to the Mun River Basin in Thailand. Water Policy 23, 1153–1169. https://doi.org/10.2166/wp.2021.011
  • Yin, W., Fan, Z., Tangdamrongsub, N., Hu, L., Zhang, M., 2021. Comparison of physical and data-driven models to forecast groundwater level changes with the inclusion of GRACE – A case study over the state of Victoria, Australia. Journal of Hydrology 602, 126735. https://doi.org/10.1016/j.jhydrol.2021.126735
  • Tangdamrongsub, N., Jasinski, M.F., Shellito, P.J., 2021. Development and evaluation of 0.05° terrestrial water storage estimates using Community Atmosphere Biosphere Land Exchange (CABLE) land surface model and assimilation of GRACE data. Hydrology and Earth System Sciences 25,4185–4208. https://doi.org/10.5194/hess-25-4185-2021
  • Tangdamrongsub, N., Hwang, C., Borak, J. S., Prabnakorn, S., Han, J., 2021. Optimizing GRACE/GRACE-FO data and a priori hydrological knowledge for improved global terrestial water storage component estimates, Journal of Hydrology, 598, 126463, https://doi.org/10.1016/j.jhydrol.2021.126463
  • Tangdamrongsub, N., Forgotson, C., Gangodagamage, C., Forgotson, J., 2021. The analysis of using satellite soil moisture observations for flood detection, evaluating over the Thailand’s Great Flood of 2011. Natural Hazards 108, 2879–2904. https://doi.org/10.1007/s11069-021-04804-8
  • Chen, Y., Ahmed, M., Tangdamrongsub, N., Murgulet, D., 2021. Reservoir-Induced Land Deformation: Case Study from the Grand Ethiopian Renaissance Dam. Remote Sensing 13, 874. https://doi.org/10.3390/rs13050874
  • Tangdamrongsub, N., Šprlák, M., 2021. The Assessment of hydrologic- and flood-induced land deformation in data-sparse regions using GRACE/GRACE-FO data assimilation. Remote Sensing 13, 235. https://doi.org/10.3390/rs13020235
  • Ran, J., Tangdamrongsub, N., Wan, X., 2021. The impact of error covariance matrix structure of GRACE’s gravity solution on the mass flux estimates of Greenland ice sheet. Advances in Space Research 67,163–178. https://doi.org/10.1016/j.asr.2020.07.012
  • Tangdamrongsub, N., Han, S.-C., Yeo, I.-Y., Dong, J., Steele-Dunne, S.C., Willgoose, G., Walker, J.P., 2020. Multivariate data assimilation of GRACE, SMOS, SMAP measurements for improved regional soil moisture and groundwater storage estimates. Advances in Water Resources 135, 103477. https://doi.org/10.1016/j.advwatres.2019.103477
  • Yin, W., Han, S.-C., Zheng, W., Yeo, I.-Y., Hu, L., Tangdamrongsub, N., Ghobadi-Far, K., 2020. Improved water storage estimates within the North China Plain by assimilating GRACE data into the CABLE model. Journal of Hydrology 590, 125348. https://doi.org/10.1016/j.jhydrol.2020.125348
  • Yin, W., Li, T., Zheng, W., Hu, L., Han, S.-C., Tangdamrongsub, N., Šprlák, M., Huang, Z.,2020. Improving regional groundwater storage estimates from GRACE and global hydrological models over Tasmania,Australia. Hydrogeology Journal. https://doi.org/10.1007/s10040-020-02157-3
  • Tangdamrongsub, N., Han, S.-C., Jasinski, M.F., Šprlák, M., 2019. Quantifying water storage change and land subsidence induced by reservoir impoundment using GRACE, Landsat, and GPS data. Remote Sensing of Environment 233, 111385. https://doi.org/10.1016/j.rse.2019.111385
  • Li, B., Rodell, M., Kumar, S., Beaudoing, H.K., Getirana, A., Zaitchik, B.F., Goncalves, L.G. de, Cossetin, C.,Bhanja, S., Mukherjee, A., Tian, S., Tangdamrongsub, N., Long, D., Nanteza, J., Lee, J.,Policelli, F., Goni, I.B., Daira, D., Bila, M., Lannoy, G. de, Mocko, D., Steele‐Dunne, S.C., Save, H.,Bettadpur, S., 2019. Global GRACE data assimilation for groundwater and drought monitoring: advances and challenges. Water Resources Research 55, 7564–7586. https://doi.org/10.1029/2018WR024618
  • Jasinski, M.F., Borak, J.S., Kumar, S.V., Mocko, D.M., Peters-Lidard, C.D., Rodell, M., Rui, H., Beaudoing, H.K., Vollmer, B.E., Arsenault, K.R., Li, B., Bolten, J.D., Tangdamrongsub, N., 2019. NCA- LDAS: overview and analysis of hydrologic trends for the National Climate Assessment. J. Hydrometeor. 20,
  • Senanayake, I.P., Yeo, I.-Y., Tangdamrongsub, N., Willgoose, G.R., Hancock, G.R., Wells,T., Fang, B.,Lakshmi, V., Walker, J.P., 2019. An in-situ data based model to downscale radiometric satellite soil moisture products in the Upper Hunter Region of NSW, Australia. Journal of Hydrology 572, 820–838.
  • Ran, J., Tangdamrongsub, N., Shi, J., Wang, C., Wang, L., Wan, X., 2019. GRACE observed mass loss in the middle and lower Yangtze basin. Geodesy and Geodynamics, From Space Geodesy to Astro-Geodynamics 10, 157–162. https://doi.org/10.1016/j.geog.2018.06.008
  • 2020: NASA GSFC HBG Scientific and Technical Support
  • 2022: NASA GSFC HBG Scientific Achievement
  • 2012 – 2013: National Chiao Tung University, Taiwan
  • 2013 – 2016: Delft University of Technology, The Netherlands
  • 2016 – 2018: University of Newcastle, Australia
  • 2018 – 2022: NASA Goddard Space Flight Center / University of Maryland, USA
  • Satellite remote sensing
  • Data assimilation
  • Hydrology
  • Land surface model
  • Geodesy
  • Natural Hazards
  • Artificial intelligence