A5080690067- Hydrology and Watershed Management Studies
- Flood Risk Assessment and Management
- Hydrology and Sediment Transport Processes
- Hydrology and Drought Analysis
- Hydrological Forecasting Using AI
- Remote Sensing and LiDAR Applications
- Meteorological Phenomena and Simulations
- Environmental and Agricultural Sciences
- Tropical and Extratropical Cyclones Research
- Fish Ecology and Management Studies
- Coastal wetland ecosystem dynamics
- Geological Studies and Exploration
- Groundwater and Watershed Analysis
- Water Resources and Management
- Cryospheric studies and observations
- Geophysics and Gravity Measurements
- Aquatic and Environmental Studies
- Fish biology, ecology, and behavior
- Data Stream Mining Techniques
- Groundwater and Isotope Geochemistry
- Water resources management and optimization
- Reservoir Engineering and Simulation Methods
- Water Quality and Pollution Assessment
- Fluid Dynamics Simulations and Interactions
- Distributed and Parallel Computing Systems
The University of Tokyo
2016-2025
University of Waterloo
2024-2025
Tokyo Institute of Technology
2018-2019
Abstract Extensive floodplains throughout the Amazon basin support important ecosystem services and influence global water carbon cycles. A recent change in hydroclimatic regime of region, with increased rainfall northern portions basin, has produced record-breaking high levels on River mainstem. Yet, implications for magnitude duration floodplain inundation across remain unknown. Here we leverage state-of-the-art hydrological models, supported by in-situ remote sensing observations, to show...
Abstract. Quantifying continental-scale river discharge is essential for understanding the terrestrial water cycle, but it susceptible to errors caused by a lack of observations and limitations hydrodynamic modeling. Data assimilation (DA) methods are increasingly used estimate in combination with emerging river-related remote sensing products (e.g., surface elevation (WSE), slope, width, flood extent). However, directly comparing simulated WSE satellite altimetry data remains challenging...
Abstract River bathymetry is an important parameter for hydrodynamic modeling; however, it associated with large bias because direct large‐scale measurements are impractical. Recent studies adjusted river data based on assessment of the difference between modeled and observed water surface elevation (WSE); model uncertainties in discharge can lead to unintended errors correcting bathymetry. In this study, we propose a simple but robust rational correction method using stage–discharge rating...
Abstract Continental‐scale river hydrodynamic modeling helps to understand the global hydrological cycle, and model evaluation is essential for calibration performance assessment. Although many models have been evaluated using several variables separately, methods integrated multivariable assessment yet be established. We proposed an method overall basin skill score (OSK) metric, which integrates sub‐basin score, calculated by combining multiple variables' normalized Nash‐Sutcliffe...
Abstract. Dams and reservoirs are human-made infrastructures that have attracted increasing attention because of their societal environmental significance. Towards better management conservation reservoirs, a dataset reservoir-catchment characteristics is needed, considering the amount water material flowing into out depends on locations river network properties upstream catchment. To date, no exists for characteristics. The aim this study to develop first database featuring 3254 with...
Due to the lack of in-situ gauge data, remote sensing is crucial for water level monitoring. This study presents a thorough examination variations in nine main Sri Lankan reservoirs over past five years, using data from Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) Advanced Topographic Laser Altimeter System (ATLAS). An initial filtering was done focusing on key quality flags ICESat-2 ATL13 products ensure reliability by eliminating outliers significant elevation errors. approach...
Abstract Global River Models (GRMs), which simulate river flow and flood processes, have rapidly developed in recent decades. However, these advancements necessitate meaningful standardized quality assessments comparisons against a suitable set of observational variables using appropriate metrics, requirement currently lacking within GRM communities. This study proposes implementing benchmark system designed to facilitate the assessment models enable established benchmarks. The incorporates...
Water resource management has faced challenges in recent decades due to limited situ observations and the limitations of hydrodynamic modeling. Data assimilation techniques have been proposed improve model outputs local rivers (river length ≤ 1500 km) using synthetic future Surface Ocean Topography (SWOT) satellite mission overcome However, large-scale data schemes require computationally efficient filtering techniques, such as Local Ensemble Transformation Kalman Filter (LETKF). Expansion...
Abstract Understanding spatial and temporal variations in terrestrial waters is key to assessing the global hydrological cycle. The future Surface Water Ocean Topography (SWOT) satellite mission will observe elevation slope of surface at <100 m resolution. Methods for incorporating SWOT measurements into river hydrodynamic models have been developed generate spatially temporally continuous discharge estimates. However, most data assimilation studies conducted local scale. We a novel...
Abstract Bangladesh is highly vulnerable to flood hazards, and its risk projected increase with global warming. In addition climate change, internal variation, such as the El Niño–Southern Oscillation (ENSO), influences flooding in many rivers worldwide. However, impact of variability on remains unclear due limited observations. Here, we assess impacts ENSO change occurrence using a large-ensemble simulation dataset river model (CaMa-Flood). After separating 6000 years (100-member ensemble...
Abstract. Satellite altimetry data are useful for monitoring water surface dynamics, evaluating and calibrating hydrodynamic models, enhancing river-related variables through optimization or assimilation approaches. However, comparing simulated elevations (WSEs) using satellite is challenging due to the difficulty of correctly matching representative locations virtual stations (VSs) discrete river grids used in models. In this study, we introduce an automated mapping procedure (AltiMaP) that...
Global River Models (GRMs), which simulate river flow and flood processes, have rapidly developed in recent decades. However, these advancements necessitate meaningful standardized quality assessments comparisons against a suitable set of observational variables using appropriate metrics, requirement currently lacking within GRM communities. This study proposes the implementation benchmark system designed to facilitate assessment models enables established benchmarks. The incorporates...
Abstract. Satellite altimetry data are useful for monitoring water surface dynamics, evaluating and calibrating hydrodynamic models, enhancing river-related variables through optimization or assimilation approaches. However, comparing simulated elevations (WSEs) using satellite is challenging due to the difficulty of correctly matching representative locations virtual stations (VSs) discrete river grids used in models. In this study, we introduce an automated mapping procedure (AltiMaP) that...
Estimating spatial and temporal variations of surface waters is important for water resources management. The upcoming Surface Water Ocean Topography (SWOT) mission will enhance our understanding on global cycle by measuring elevations at a high resolution. It be benificial to combine SWOT observations hydrodynamic modelling overcome its limited observation frequency. We performed an observing system simulation experiment (OSSE) estimating river channel bathymetry from elevation (WSE)...
Seasonal hydrological dynamics have profound socio-economic implications for communities in the Ganges-Brahmaputra-Meghna (GBM) River basin. Climate change and El Niño-Southern Oscillation (ENSO) phase are known to impact extreme flood magnitude GBM River, however how they affect seasonal flooding pattern is not revealed. Utilizing large ensemble climate data (comprising 6000 years of non-warming warming scenarios) global hydrodynamic model CaMa-Flood, we assess influence ENSO on patterns...
Earth and Space Science Open Archive This preprint has been submitted to is under consideration at Remote Sensing of Environment. ESSOAr a venue for early communication or feedback before peer review. Data may be preliminary.Learn more about preprints preprintOpen AccessYou are viewing the latest version by default [v1]How much inundation occurs in Amazon River basin?AuthorsAyanFleischmanniDFabricePapaiDAliceFassoni-AndradeiDJohn MMelackSlyWongchuigiDRodrigo CauduroDias De PaivaiDStephen...
Data assimilation techniques are becoming popular in estimating hydraulic variables ungauged basins with the recent advancements satellite technology. The Local Ensemble Transformation Kalman Filter (LETKF), which limits domain by a “local patch”, is an efficient method for global-scale data assimilation, but optimization of size and weighting function local patch still challenging especially river hydrodynamic models. Here we propose to estimate reasonable parameters, fitting Gaussian...
気候変動や人間活動が水循環に与える影響をより正確に把握するためには，高解像度での全球水資源アセスメントが必要である．高解像度シミュレーションに欠かせないグリッド間の水配分や中規模貯水池操作などの機能を備えた全球水資源モデルH08を利用することにより，高解像度水資源アセスメントの実現可能性が向上すると考えられる．本研究では，H08で空間解像度5分の計算を行い，従来の解像度0.5度の場合とモデルの挙動を比較することにより，高解像度全球水資源モデルにおける取水源の変化やグリッド間導水機能の重要性についての知見を得た．さらに，高解像度水資源モデルによる大規模灌漑地域や都市における水需給評価の一定程度の有用性を示した．