Title : Dr.
Name : Natthachet Tangdamrongsub
FoS : Water Engineering and Management
Position : Assistant Professor – Academic Program Chair
Location : WEM Building
Phone : +66 (2) 524-6420
Fax :
Email : natthachet@ait.ac.th

Dr. Natthachet Tangdamrongsub is an assistant professor of the Water Engineering and Management Program and has served as its Academic Program Chair since 2025. His research interests include land surface modeling, data assimilation, artificial intelligence, and satellite geodesy and remote sensing. He focuses on integrating satellite Earth observations (e.g., soil moisture, terrestrial water storage, surface water) with model estimates to address grand challenges in water resources, climate, and natural hazards at both global and regional scales.

Dr. Tangdamrongsub has published more than 100 papers in peer-reviewed international journals and was the recipient of the prestigious Hydrosphere, Biosphere, and Geophysics Award GSFC from NASA in 2022.

EDUCATIONAL BACKGROUND
  1. 2007 – 2012: PhD, Civil Engineering, National Chiao Tung University, Taiwan
  2. 2005 – 2007: MSE., Radio Astronomy and Space Sciences, Chalmers University of Technology, Sweden
  3. 2000 – 2004: BEng, Electrical Engineering, Thammasat University, Thailand

RESEARCH INTERESTS
His research interests are Remote sensing of environment, Hydrology and land surface modeling, Data assimilation, Artificial intelligence, Natural hazards, Flood and drought analysis, Climate change, and Statistical optimization

TEACHING
  1. CE74.71 EIA and GIS Applications in Water Resources
  2. CE74.9011 Selected Topic: Hydroinformatics and Modern Hydrological Modeling
  3. CE74.9009 Selected Topic: AI and Big Data in Water

RECENT PUBLICATIONS
Wang, J., Shen, Y., Awange, J., Tangdamrongsub, N., Feng, T., Hu, K., Song, Y., Yang, L., Sherif, M., Wang, X., 2025. Exploring potential drivers of terrestrial water storage anomaly trends in the Yangtze River Basin (2002–2019). Journal of Hydrology: Regional Studies 58, 102264. https://doi.org/10.1016/j.ejrh.2025.102264

Gong, Z., Ran, J., Han, S.-C., Tangdamrongsub, N., Yan, Z., 2025. An improved Slepian method for mitigating signal leakage in Greenland ice sheet mass variation estimation. Journal of Geodesy 100, 3. https://doi.org/10.1007/s00190-025-02022-9

Springer, A., De Lannoy, G., Rodell, M., Ewerdwalbesloh, Y., Gerdener, H., Khaki, M., Li, B., Li, F., Schumacher, M., Tangdamrongsub, N., Tourian, M.J., Nie, W., Kusche, J., 2026. A review of current best practices and future directions in assimilating GRACE/-FO terrestrial water storage data into numerical models. Hydrology and Earth System Sciences 30, 985–1022. https://doi.org/10.5194/hess-30-985-2026

Fang, D., Ran, J., Han, S.-C., Tangdamrongsub, N., Yan, Z., 2026. On Optimal Parameterization for Mascon Solution of Surface Mass Changes From GRACE(-FO) Satellite Gravimetry. Earth and Space Science 13, e2025EA004645. https://doi.org/10.1029/2025EA004645

Zeng, Z., Ran, J., Yan, Z., Tangdamrongsub, N., 2026. Performance Superiority of Dual-pair Cartwheel/Pendulum over Bender-Type in Four-Satellite Gravity Constellations: An Equitable Evaluation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 1–27. https://doi.org/10.1109/JSTARS.2026.3663481

Sun, M., Tangdamrongsub, N., Sun, Y., Dong, J., Sutanudjaja, E., Smilovic, M., 2026. Assessing and optimizing high-resolution global river streamflow estimates with triple collocation analysis. Journal of Hydrology 669, 135122. https://doi.org/10.1016/j.jhydrol.2026.135122

Lin, F., Sun, Y., Tangdamrongsub, N., Zheng, S., Zhang, B., 2026. Implications of phase information from GPS and GRACE(FO) for identifying GPS stations influenced by poroelastic deformation. Journal of Geodesy 100, 9. https://doi.org/10.1007/s00190-026-02031-2

Wu, H., Ran, J., Tangdamrongsub, N., 2026. Downscaling GRACE(−FO) with mass-conserving XGBoost approach reveals high-resolution patterns and drivers of hydrometeorological-induced mass changes in High Mountain Asia. Journal of Hydrology 671, 135235. https://doi.org/10.1016/j.jhydrol.2026.135235

For full publication list, CLICK HERE!

ONGOING AND COMPLETED PROJECTS
  1. Enhancing Satellite Gravimetry Data for Sustainable Water Resource and Disaster Management in Thailand and Southeast Asia
    • Duration: March 2026 to February 2027
    • Funding Agencies: Program Management Unit for Frontier Brainpower and Future Industries (PMU-B)
  2. Empowering the Thailand high-resolution (1km) seasonal hydrometeorological forecasting system (THFS) to support smart agriculture under climate variation challenges
    • Duration: 2024 – 2025
    • Funding Agency: Agricultural Research Development Agency (ARDA / สวก.)
    • THSF Data: https://alice-lab.com/thsf/
  3. Evaluation of Nature-based Solutions for the enhancement of urban water security in South-East Asian Cities
    • Duration: October 2024 – September 2027
    • Funding Agency: Asia-Pacific Network (APN) under the Collaborative Regional Research Programme (CRRP)
  4. Development of a Model for Monitoring and Assessing Crop Water Use from Satellites Integrated with Meteorological Data
    • Duration: January 2026 – September 2026
    • Funding Agency: Geo-informatics and Space Technology Development Agency

AWARDS AND HONORS
  1. 2020: NASA GSFC HBG Scientific and Technical Support
  2. 2022: NASA GSFC HBG Scientific Achievement

PROFESSIONAL AFFILIATIONS
  1. 2012 – 2013: National Chiao Tung University, Taiwan
  2. 2013 – 2016: Delft University of Technology, The Netherlands
  3. 2016 – 2018: University of Newcastle, Australia
  4. 2018 – 2022: NASA Goddard Space Flight Center / University of Maryland, USA

RESEARCH KEYWORDS
  • Satellite remote sensing
  • Data assimilation
  • Artificial intelligence
  • Hydrology
  • Land surface model
  • Geodesy
  • Natural hazards
  • Climate change

Asian Land Information for Climate and Environmental Research Laboratory

Dr. Natthachet Tangdamrongsub is a founder of the ALICE laboratory, dedicated to pioneering scientific research in climate, hydrology, the environment, and agriculture in Asian regions that have historically been deprived of crucial data. The team prioritizes integrating advanced methodologies, including hydrology and land surface modeling, remote sensing, artificial intelligence (AI), data assimilation, and computational hydrology (via high-performance computing, HPC), to address data scarcity challenges. Our mission is not only to collect and analyze high-quality data but also to develop innovative techniques that enhance our understanding of the intricate relationships among climate, hydrological processes, and agricultural systems. By harnessing cutting-edge technologies and fostering interdisciplinary collaboration, we aim to fill knowledge gaps, empower decision-makers, and drive sustainable development in data-sparse areas worldwide. Join us as we embark on a journey to revolutionize scientific research and make a positive impact in communities facing data scarcity.

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