Scheduling satellite-based SAR acquisition for sequential assimilation of water level observations into flood modelling

نویسندگان

  • Javier García-Pintado
  • Jeff C. Neal
  • David C. Mason
  • Sarah L. Dance
  • Paul D. Bates
چکیده

0022-1694/$ see front matter 2013 The Authors. Published by Elsevier B.V. All rights reserved. http://dx.doi.org/10.1016/j.jhydrol.2013.03.050 q This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ⇑ Corresponding author. Address: ESSC, Harry Pitt Building, 3 Earley Gate, University of Reading, Whiteknights Campus, RG6 6AH, Reading, UK. Tel.: +44 118 378 7722; fax: +44 118 378 6413. E-mail address: [email protected] (J. García-Pintado). Javier García-Pintado a,b,⇑, Jeff C. Neal , David C. Mason , Sarah L. Dance , Paul D. Bates c

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Sequential Ensembles Tolerant to Synthetic Aperture Radar (SAR) Soil Moisture Retrieval Errors

Due to complicated and undefined systematic errors in satellite observation, data assimilation integrating model states with satellite observations is more complicated than field measurements-based data assimilation at a local scale. In the case of Synthetic Aperture Radar (SAR) soil moisture, the systematic errors arising from uncertainties in roughness conditions are significant and unavoidab...

متن کامل

Towards an increased performance of flood forecasting through assimilation of remotely sensed soil saturation levels in conceptual rainfall-runoff models

* Corresponding author ** This study is supported by the ‘Ministère Luxembourgeois de la Culture, de l’Enseignement Supérieur et de la Recherche’ and the French Space Agency (CNES) Abstract –Owing to the non-linearity of the rainfallinfiltration-runoff relationship, soil water content in the river basin represents a key parameter to be monitored for flood management purposes. Remote sensing obs...

متن کامل

Assimilation of spatial distributed water levels into a shallow-water flood model. Part II: using a remote sensing image of Mosel river

With rapid flood extent mapping capabilities, Synthetic Aperture Radar (SAR) images of river inundation prove to be very relevant to operational flood management. In this context, a recently developed method provides distributed water levels from SAR images. Furthermore, in view of improving numerical flood prediction, a variational data assimilation method (4D-var) using such distributed water...

متن کامل

Assimilating SAR-derived water level data into a hydraulic model: a case study

Satellite-based active microwave sensors not only provide synoptic overviews of flooded areas, but also offer an effective way to estimate spatially distributed river water levels. If rapidly produced and processed, these data can be used for updating hydraulic models in near real-time. The usefulness of such approaches with real event data sets provided by currently existing sensors has yet to...

متن کامل

A review of applications of satellite SAR, optical, altimetry and DEM data for surface water modelling, mapping and parameter estimation

Hydrological data collection requires deployment of physical infrastructure like rain gauges, water level gauges, as well as use of expensive equipment like echo sounders. Many countries around the world have recorded a decrease in deployment of physical infrastructure for hydrological measurements; developing countries especially have less of this infrastructure and, where it exists, it is poo...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013