This study presents flood level estimation using state space model. Traditional water-level sensors for large-scale river can detect water-level rising, ...
PDF | On Feb 1, 2019, Kei Hiroi and others published Investigation into Feasibility of Data Assimilation Approach for Flood Level Estimation Using ...
This study presents flood level estimation using state space model. Traditional water-level sensors for large-scale river can detect water-level rising, ...
Investigation into Feasibility of Data Assimilation Approach for Flood ...
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In this paper, we propose an estimation method using state space model as data assimilation method to integrate water level observation and flooding analysis ...
This paper proposes a method for estimating flood levels by data assimilation using a state space model to determine the spatial-temporal flood expansion ...
Investigation into Feasibility of Data Assimilation Approach for Flood Level Estimation Using Temporal-Spatial State Space Model. BigComp 2019: 1-5. [c4].
Apr 28, 2020 · We describe a prototype data assimilation framework to assimilate synthetic SWOT water surface elevation observations into the LISFLOOD-FP hydrodynamic model.
Each catchment is divided into ten equally large elevation zones, and the average temperature and precipitation is elevation adjusted to each elevation zone.
Sep 16, 2021 · The goal of hydrodynamic data assimilation for river monitoring is to track variations in the channel roughness and bathymetry in the long run.
Missing: Feasibility | Show results with:Feasibility
This study demonstrated the benefit and efficiency of implementing data assimilation into a hydrological model to improve flash flood forecasting over small, ...