Global streamflow estimation is advancing through the integration of multiple hydrological models using the Triple Collocation (TC) method. By combining outputs from CWatM, PCR‑GLOBWB, and H08 at high spatial resolution, this study delivers more accurate river discharge simulations across 1,707 global stations and 62 sites in Thailand. The results show that high‑resolution modeling and TC fusion significantly enhance reliability, outperforming individual models and simple averaging. This approach strengthens water resource management, flood forecasting, and drought mitigation worldwide—marking a major step toward globally consistent, data‑driven hydrological assessment.
This study highlights a critical hydro-agronomic paradox for Thailand: while climate change will increase regional precipitation and Terrestrial Water Storage (TWS), rising late-century temperatures and extreme heat stress will decouple water availability from actual crop productivity. The impacts are highly crop-specific, with sensitive commodities like sugarcane and rice facing severe yield declines due to thermal stress during critical growth stages, while upland crops like maize and cassava show much stronger resilience. Ultimately, traditional solutions like irrigation expansion will be insufficient, demanding a shift toward adaptive management through dynamic crop calendars, heat-tolerant seed varieties, and regional crop portfolio diversification.
GRACE and GRACE‑FO satellite data assimilation has transformed monitoring of Earth’s water cycle. By merging coarse satellite observations with fine‑scale hydrological models, it improves detection of groundwater loss, snowpack changes, floods, and droughts. This approach bridges science and practice, delivering actionable insights for water management, climate resilience, and disaster preparedness. With next‑generation missions, low‑latency products, and machine learning hybrids on the horizon, GRACE/-FO assimilation is set to become an even more powerful tool for safeguarding global freshwater resources.
This study investigates groundwater depletion in the Lower Indus Basin (LIB), where intensive irrigation has led to unsustainable groundwater extraction. To address the coarse spatial resolution of satellite-derived water storage data, a Weight-Supported Random Forest (WSRF) model was developed to downscale data to a finer 0.1° resolution using precipitation, evapotranspiration, vegetation index, and soil moisture as predictors. The results showed high agreement with groundwater well observations (R² > 0.85) and revealed detailed spatial patterns of groundwater depletion from 2003–2023, highlighting the combined influence of climate variability and irrigation practices.
Publications
Our publications and conference contributions
2026 16 publications and 2 conferences
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.
DOI → https://doi.org/10.1029/2025EA004645
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.
DOI → https://doi.org/10.5194/hess-30-985-2026
Ahmed, F., Loc, H.H., Babel, M.S., Tansar, H., Tangdamrongsub, N., 2026.
Improved understanding of tropical urban catchment hydrology by SWMM modeling and sensitivity analysis: a case study of Udon Thani City, Thailand.
Journal of Hydroinformatics jh2026064.
DOI → https://doi.org/10.2166/hydro.2026.064
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.
DOI → 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.
DOI → 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.
J Geod 100, 9.
DOI → 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.
DOI → https://doi.org/10.1016/j.jhydrol.2026.135235
Mon, A.K., Shanmugam, M.S., Shrestha, S., Tangdamrongsub, N., Himanshu, S.K., 2026.
Enhanced machine learning data fusion for Landsat–Sentinel-2 reflectance prediction in urban river monitoring.
Remote Sensing Applications: Society and Environment 42, 102057.
DOI → https://doi.org/10.1016/j.rsase.2026.102057
Madolli, M.J., Gade, S.A., Tangdamrongsub, N., Debnath, S., Gupta, V., Datta, A., Himanshu, S.K., 2026.
Non-stationarity and temporal dependence of seasonal and extreme rainfall in Thailand and their linkages with ENSO and IOD.
Theor Appl Climatol 157, 378.
DOI → https://doi.org/10.1007/s00704-026-06315-7
Ganepola, G.A.C., Tangdamrongsub, N., Torsri, K., Jotisankasa, A., Meechaiya, C., Yueh, S., Dong, J., Senanayake, I.P., 2026.
Roadmap for leveraging satellite data to advance soil moisture monitoring in Mainland Southeast Asia.
Vadose Zone Journal 25, e70107.
DOI → https://doi.org/10.1002/vzj2.70107
Tangdamrongsub, N., Boonma, K., Hein, K.K.M., Himanshu, S.K., Htet, S.W., Nguyen, H.M., Tupbucha, U., 2026.
Future hydro-climatic vulnerability and its impact on water resources and economic crop suitability in Thailand.
Discov Geosci 4, 226.
DOI → https://doi.org/10.1007/s44288-026-00599-y
Lamichhane, S., Shrestha, S., Pradhananga, S., Khanal, S., Sundaram, M., Tangdamrongsub, N., Ninsawat, S., 2026.
Assessment of future hydrology in the Gandaki River Basin under climate change using a multi-site calibration with the SWAT model.
Journal of Applied Water Engineering and Research 0, 1–22.
DOI → https://doi.org/10.1080/23249676.2026.2696262
Fang, D., Ran, J., Tangdamrongsub, N., Jiang, Z., Luan, Y., Wu, H., 2026.
Spatiotemporally weighted Laplacian constraints to overcome sparse-station limitations in GNSS-derived terrestrial water storage changes: a case study in Yunnan, China.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 1–17.
DOI → https://doi.org/10.1109/JSTARS.2026.3726949
CONFERENCE
Tupbucha, U., Tangdamrongsub, N., 2026.
Reconstructing high-resolution inland water elevation in Thailand through machine learning integration of SWOT and ICESat-2 observations.
19th ThaiCID National Symposium, Nakhon Pathom, Thailand, 08–10 July 2026.
CONFERENCE
Pandey, B., Tangdamrongsub, N., Ruangrassamee, P., Genoguin, M., 2026.
Enhancing Streamflow Forecasting in Northern Thailand Using the Rainfall-Runoff-Inundation Model and Data Assimilation.
19th ThaiCID National Symposium, Nakhon Pathom, Thailand, 08–10 July 2026.
Wu, H., Ran, J., Tangdamrongsub, N., Zhong, Y., 2026.
High-spatiotemporal-resolution GRACE(-FO)-constrained terrestrial water storage reconstruction captures the hydrological footprints of successive typhoons in southern mainland China.
Journal of Hydrology 679, 136373.
DOI → https://doi.org/10.1016/j.jhydrol.2026.136373
Shanmugam, M., Rijal, K., Ruangekavit, J., Shirodkar, A., Babel, M.S., Shrestha, S., Tangdamrongsub, N., Ninsawat, S., 2026.
METRIC–random forest fusion framework for daily 30-m evapotranspiration mapping in Northern Thailand.
Remote Sensing Applications: Society and Environment 43, 102257.
DOI → https://doi.org/10.1016/j.rsase.2026.102257
Kongbuchakiat, P., Tangdamrongsub, N., Pokavanich, T., Rakthanmanon, T., Pornprommin, A., 2026.
Lead-time-dependent effects of spatial rainfall representations on deep learning discharge forecasting in the lower Chao Phraya River.
Journal of Hydrology: Regional Studies 68, 103986.
DOI → https://doi.org/10.1016/j.ejrh.2026.103986
20258 publications
Qiu, J., Ran, J., Tangdamrongsub, N., Fettweis, X., Ali, S., Feng, W., Wan, X., 2025.
Recent significant subseasonal fluctuations of supraglacial lakes on Greenland monitored by passive optical satellites.
Remote Sensing of Environment 328, 114896.
DOI → https://doi.org/10.1016/j.rse.2025.114896
Madolli, M.J., Haikel, S.H.M., Gupta, V., Tangdamrongsub, N., Datta, A., Himanshu, S.K., 2025.
Spatio-temporal Variability of Rainfall and Temperature and their Association with ENSO and IOD over Different Meteorological Regions of Thailand.
Water Conserv Sci Eng 10, 92.
DOI → https://doi.org/10.1007/s41101-025-00414-8
Borak, J.S., Jasinski, M.F., Neuenschwander, A., Tangdamrongsub, N., 2025.
Global Climatologies of Vegetation Aerodynamic Roughness for Momentum: A Fusion of MODIS and ICESat-2 Observations.
Earth and Space Science 12, e2023EA003027.
DOI → https://doi.org/10.1029/2023EA003027
Ali, S., Ran, J., Tangdamrongsub, N., Khorrami, B., Ferreira, V., Shi, H., Zhang, W., 2025.
Weight-Supported Random Forest Downscaled GRACE (-FO) Data Uncovers Groundwater Depletion Linked to Winter Wheat Cultivation in the North China Plain.
Earth Syst Environ.
DOI → https://doi.org/10.1007/s41748-025-00976-6
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.
DOI → 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.
J Geod 100, 3.
DOI → https://doi.org/10.1007/s00190-025-02022-9
Lamichhane, S., Shrestha, S., Shanmugam, M., Tangdamrongsub, N., Ninsawat, S., & Khanal, S. (2025).
Selection of CMIP6 climate models and future climatic projection in the Gandaki River Basin, Nepal.
Journal of Water and Climate Change, 16(10), 3109–3129.
DOI → https://doi.org/10.2166/wcc.2025.047
Wu, H., Ran, J., Ali, S., Tangdamrongsub, N., Fettweis, X., 2025.
A Novel Approach Combining GRACE(-FO) and Altimetry Reveals a Recent East-to-West Shift in the Slowdown of Glacier-Scale Mass Loss in the Greenland Ice Sheet.
Journal of Geophysical Research: Solid Earth 130, e2024JB030862.
DOI → https://doi.org/10.1029/2024JB030862
20242 publications
Ali, S., Ran, J., Luan, Y., Khorrami, B., Xiao, Y., Tangdamrongsub, N., 2024.
The GWR model-based regional downscaling of GRACE/GRACE-FO derived groundwater storage to investigate local-scale variations in the North China Plain.
Science of the Total Environment 908, 168239.
DOI → https://doi.org/10.1016/j.scitotenv.2023.168239
Nguyen, H.M., Ho, H.L., Babel, M.S., Tangdamrongsub, N., Kumar Himanshu, S., Hamel, P., Park, E., 2024.
Nature-based solutions for improving food security: A systematic global review.
Heliyon 10, e36082.
DOI → https://doi.org/10.1016/j.heliyon.2024.e36082
20235 publications
Khaki, M., Han, S.-C., Ghobadi-Far, K., Yeo, I.-Y., Tangdamrongsub, N., 2023.
Assimilation of GRACE Follow-On Inter-Satellite Laser Ranging Measurements Into Land Surface Models.
Water Resources Research 59, e2022WR032432.
DOI → https://doi.org/10.1029/2022WR032432
Tangdamrongsub, N., 2023.
Comparative Analysis of Global Terrestrial Water Storage Simulations: Assessing CABLE, Noah-MP, PCR-GLOBWB, and GLDAS Performances during the GRACE and GRACE-FO Era.
Water 15, 2456.
DOI → https://doi.org/10.3390/w15132456
Upadhyay, S., Shrestha, S., Loc, H.H., Mohanasundaram, S., Dhungana, S., Lim, S., Tangdamrongsub, N., 2023.
Satellite-based estimates of declining groundwater storage in the transboundary Cambodia-Mekong River Delta Aquifer of the Lower Mekong region, Southeast Asia.
Hydrogeol J.
DOI → https://doi.org/10.1007/s10040-023-02746-y
Choi, E., Rigden, A.J., Tangdamrongsub, N., Jasinski, M.F., Mueller, N.D., 2023.
US crop yield losses from hydroclimatic hazards.
Environ. Res. Lett. 19, 014005.
DOI → https://doi.org/10.1088/1748-9326/ad0c87
Dong, J., Chen, X., Li, Y., Gao, M., Wei, L., Tangdamrongsub, N., Crow, W.T., 2023.
Inter-Basin Water Transfer Effectively Compensates for Regional Unsustainable Water Use.
Water Resources Research 59, e2023WR035129.
DOI → https://doi.org/10.1029/2023WR035129
20222 publications and 1 conference
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.
DOI → https://doi.org/10.3390/w14040621
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.
DOI → https://doi.org/10.1016/j.rse.2022.113299
CONFERENCE
Tangdamrongsub, N., 2022.
Improving Accuracy Of Groundwater Storage In Thailand Using Grace Data Assimilation Technique.
THA 2022 International Conference, Bangkok, Thailand, 26–28 January 2022.
20218 publications
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.
DOI → https://doi.org/10.1016/j.asr.2020.07.012
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.
DOI → https://doi.org/10.3390/rs13020235
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.
DOI → https://doi.org/10.3390/rs13050874
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.
DOI → https://doi.org/10.1007/s11069-021-04804-8
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 terrestrial water storage component estimates.
Journal of Hydrology 598, 126463.
DOI → https://doi.org/10.1016/j.jhydrol.2021.126463
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.
DOI → https://doi.org/10.5194/hess-25-4185-2021
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.
DOI → https://doi.org/10.1016/j.jhydrol.2021.126735
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.
DOI → https://doi.org/10.2166/wp.2021.011
20203 publications
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.
DOI → https://doi.org/10.1007/s10040-020-02157-3
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.
DOI → https://doi.org/10.1016/j.jhydrol.2020.125348
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.
DOI → https://doi.org/10.1016/j.advwatres.2019.103477
20195 publications
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.
DOI → https://doi.org/10.1016/j.geog.2018.06.008
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.
DOI → https://doi.org/10.1016/j.jhydrol.2019.03.014
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, 1595–1617.
DOI → https://doi.org/10.1175/JHM-D-17-0234.1
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.
DOI → https://doi.org/10.1029/2018WR024618
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.
DOI → https://doi.org/10.1016/j.rse.2019.111385
20185 publications
Šprlák, M., Tangdamrongsub, N., 2018.
Vertical and horizontal spheroidal boundary-value problems.
Journal of Geodesy 92, 811–826.
DOI → https://doi.org/10.1007/s00190-017-1096-9
Zhou, H., Luo, Z., Tangdamrongsub, N., Zhou, Z., He, L., Xu, C., Li, Q., Wu, Y., 2018.
Identifying flood events over the Poyang Lake Basin using multiple satellite remote sensing observations, hydrological models and in situ data.
Remote Sensing 10, 713.
DOI → https://doi.org/10.3390/rs10050713
Ditmar, P., Tangdamrongsub, N., Ran, J., Klees, R., 2018.
Estimation and reduction of random noise in mass anomaly time-series from satellite gravity data by minimization of month-to-month year-to-year double differences.
Journal of Geodynamics 119, 9–22.
DOI → https://doi.org/10.1016/j.jog.2018.05.003
Tangdamrongsub, N., Han, S.-C., Decker, M., Yeo, I.-Y., Kim, H., 2018.
On the use of the GRACE normal equation of inter-satellite tracking data for estimation of soil moisture and groundwater in Australia.
Hydrol. Earth Syst. Sci. 22, 1811–1829.
DOI → https://doi.org/10.5194/hess-22-1811-2018
Tangdamrongsub, N., Han, S.-C., Tian, S., Müller Schmied, H., Sutanudjaja, E.H., Ran, J., Feng, W., 2018.
Evaluation of groundwater storage variations estimated from GRACE data assimilation and state-of-the-art land surface models in Australia and the North China Plain.
Remote Sensing 10, 483.
DOI → https://doi.org/10.3390/rs10030483
20174 publications and 2 conferences
Han, J., Tangdamrongsub, N., Hwang, C., Abidin, H.Z., 2017.
Intensified water storage loss by biomass burning in Kalimantan: Detection by GRACE.
Journal of Geophysical Research: Solid Earth 122, 2017JB014129.
DOI → https://doi.org/10.1002/2017JB014129
Simon, K.M., Riva, R.E.M., Kleinherenbrink, M., Tangdamrongsub, N., 2017.
A data-driven model for constraint of present-day glacial isostatic adjustment in North America.
Earth and Planetary Science Letters 474, 322–333.
DOI → https://doi.org/10.1016/j.epsl.2017.06.046
Tangdamrongsub, N., Steele-Dunne, S.C., Gunter, B.C., Ditmar, P.G., Sutanudjaja, E.H., Sun, Y., Xia, T., Wang, Z., 2017.
Improving estimates of water resources in a semi-arid region by assimilating GRACE data into the PCR-GLOBWB hydrological model.
Hydrology and Earth System Sciences 21, 2053–2074.
DOI → https://doi.org/10.5194/hess-21-2053-2017
Zhou, H., Luo, Z., Tangdamrongsub, N., Wang, L., He, L., Xu, C., Li, Q., 2017.
Characterizing drought and flood events over the Yangtze River Basin using the HUST-Grace2016 solution and ancillary data.
Remote Sensing 9, 1100.
DOI → https://doi.org/10.3390/rs9111100
CONFERENCE
Senanayake, I., Yeo, I.Y., Tangdamrongsub, N., Willgoose, G., Hancock, G., Wells, T., 2017.
Disaggregation of SMAP radiometric soil moisture measurements at catchment scale using MODIS land surface temperature data.
4th Annual Conference of Research@Locate, Sydney, Australia, 03 Apr 2017 – 06 Apr 2017.
CONFERENCE
Tangdamrongsub, N., Han, S.-C., Yeo, I.Y., 2017.
Enhancement of water storage estimates using GRACE data assimilation with particle filter framework.
22nd International Congress on Modelling and Simulation, Hobart, Tasmania, Australia, 03 Dec 2016 – 08 Dec 2017.
20163 publications
Liu, Y.-C., Hwang, C., Han, J., Kao, R., Wu, C.-R., Shih, H.-C., Tangdamrongsub, N., 2016.
Sediment-Mass Accumulation Rate and Variability in the East China Sea Detected by GRACE.
Remote Sensing 8, 777.
DOI → https://doi.org/10.3390/rs8090777
Tangdamrongsub, N., Hwang, C., 2016.
Along-Track Geopotential Difference and Deflection of the Vertical from GRACE Range Rate: Use of GEOGRACE.
Terrestrial, Atmospheric and Oceanic Sciences 27, 29–42.
DOI → https://doi.org/10.3319/TAO.2015.08.11.01(T)
Tangdamrongsub, N., Ditmar, P.G., Steele-Dunne, S.C., Gunter, B.C., Sutanudjaja, E.H., 2016. Assessing total water storage and identifying flood events over Tonlé Sap basin in Cambodia using GRACE and MODIS satellite observations combined with hydrological models.
Remote Sensing of Environment 181, 162–173.
DOI → https://doi.org/10.1016/j.rse.2016.03.030
20151 publication
Tangdamrongsub, N., Steele-Dunne, S.C., Gunter, B.C., Ditmar, P.G., Weerts, A.H., 2015.
Data assimilation of GRACE terrestrial water storage estimates into a regional hydrological model of the Rhine River basin.
Hydrology and Earth System Sciences 19, 2079–2100.
DOI → https://doi.org/10.5194/hess-19-2079-2015
20121 publication
Tangdamrongsub, N., Hwang, C., Shum, C.K., Wang, L., 2012.
Regional surface mass anomalies from GRACE KBR measurements: Application of L-curve regularization and a priori hydrological knowledge.
Journal of Geophysical Research: Solid Earth 117.
DOI → https://doi.org/10.1029/2012JB009310
20112 publications
Hwang, C., Kao, Y.-C., Tangdamrongsub, N., 2011.
A Preliminary Analysis of Lake Level and Water Storage Changes over Lakes Baikal and Balkhash from Satellite Altimetry and Gravimetry.
Terrestrial, Atmospheric and Oceanic Sciences 22, 97–108.
DOI → https://doi.org/10.3319/TAO.2010.05.19.01(TibXS)
Tangdamrongsub, N., Hwang, C., Kao, Y.-C., 2011.
Water storage loss in central and south Asia from GRACE satellite gravity: correlations with climate data.
Natural Hazards 59, 749–769.
DOI → https://doi.org/10.1007/s11069-011-9793-9
20091 publication
Haas, R., Tangdamrongsub, N., Scherneck, H.G., Johansson, J.M., 2009.
Periodic station motion in Gothenburg observed with GPS - possibility related to hydrological phenomena?
Advances in Geosciences, World Scientific Publishing Company, 13, 181–192. ISBN/ISSN: 9789812836175.