Can assimilation of crowdsourced observations improve flood prediction
نویسنده
چکیده
Introduction Conclusions References
منابع مشابه
Assimilation of spatially distributed water levels into a shallow-water flood model. Part I: Mathematical method and test case
Recent applications of remote sensing techniques produce rich spatially distributed observations for flood monitoring. In order to improve numerical flood prediction, we have developed a variational data assimilation method (4D-var) that combines remote sensing data (spatially distributed water levels extracted from spatial images) and a 2D shallow water model. In the present paper (part I), we...
متن کاملAssimilation of GRACE Terrestrial Water Storage Observations into a Land Surface Model for the Assessment of Regional Flood Potential
We evaluate performance of the Catchment Land Surface Model (CLSM) under flood conditions after the assimilation of observations of the terrestrial water storage anomaly (TWSA) from NASA’s Gravity Recovery and Climate Experiment (GRACE). Assimilation offers three key benefits for the viability of GRACE observations to operational applications: (1) near-real time analysis; (2) a downscaling of G...
متن کاملReal-time Hydrometeorological Observation Networks - Development Possibilities for the Early Warning System of the Mekong River Basin
Manual surface measurements have traditionally formed the basis for hydrometeorological observation networks. Although automation and real-time data communication has gradually increased, sufficient area coverage for minimizing uncertainties associated with spatial averaging of hydrometeorological variables is still relatively rare. The limited availability of real-time precipitation data for t...
متن کاملNCAR Use of Radar Observations to Improve Numerical Prediction of Convective Storms
Accurate prediction of the location and timing of convective storms has been a long-standing challenge due, to a large extent, to uncertainties in model initialization and parameterization. Since its advent, Doppler radar has been used successfully for severe weather detection and warning. However, until recent years, radar data have not been incorporated into atmospheric models for numerical p...
متن کاملDischarge assimilation in a distributed flood forecasting model
In the field of operational flood forecasting, uncertainties linked to hydrological forecast are often crucial. In this work, data assimilation techniques are employed to improve hydrological variable estimates coming from numerical simulations using all the available real-time water level measurements. The proposed assimilation scheme, a classical Kalman filter extension to non-linear systems,...
متن کامل