Improving probabilistic flood forecasting through a data assimilation scheme based on genetic programming
Opportunities offered by high performance computing provide a significant degree of promise in the enhancement of the performance of real-time flood forecasting systems. In this paper, a real-time framework for probabilistic flood forecasting through data assimilation is presented. The distributed r...
Main Authors: | L. Mediero, L. Garrote, A. Chavez-Jimenez |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2012-12-01
|
Series: | Natural Hazards and Earth System Sciences |
Online Access: | http://www.nat-hazards-earth-syst-sci.net/12/3719/2012/nhess-12-3719-2012.pdf |
Similar Items
-
Design flood hydrographs from the relationship between flood peak and volume
by: L. Mediero, et al.
Published: (2010-12-01) -
HESS Opinions "Forecaster priorities for improving probabilistic flood forecasts"
by: F. Wetterhall, et al.
Published: (2013-11-01) -
Improvement of operational flood forecasting through the assimilation of satellite observations and multiple river flow data
by: F. Castelli, et al.
Published: (2016-05-01) -
Sequential data assimilation for real-time probabilistic flood inundation mapping
by: K. Jafarzadegan, et al.
Published: (2021-09-01) -
Assimilation of probabilistic flood maps from SAR data into a coupled hydrologic–hydraulic forecasting model: a proof of concept
by: C. Di Mauro, et al.
Published: (2021-07-01)