DAUFIN Data Assimilation within a Unifying Modeling Framework for Improved River Basin Water Resources Management
| Country: EU Projects
| Start Date:
Project Type: RTD
| Contract Number: EVK1-CT-1999-00022
| Organisation Type:
Groundwater protection-->Groundwater protection overview
Water resources and their management -->Water resources and their management Overview
| Project objectives:
The project is called DAUFIN (Data Assimilation within a Unifying Modeling Framework for Improved River Basin Water Resources Management). The DAUFIN project
is part of the Fifth Framework Research Program of the EC. The focus of this project is a new watershed modelling approach developed by Paolo Reggiani (in his
Ph.D. work at the University of Western Australia), Majid Hassanizadeh and Sivapalan (also from U. Western Australia ). This modelling approach has been well
received in the hydrologic community and this project is an important step towards demonstrating the practical applicability of this approach. The main involvement
of the TU Delft is the programming and testing of the REW-concept. The program Flowsim will also be applied. This simulation program has been, developed at the
TU Delft for physically based Rainfall-Runoff modelling. The project DAUFIN started in April 2000 with a kick-off meeting in the town Nardin in Ardenne, Belgium
(in the catchment of the Ourthe river). From the TU Delft Majid Hassanizadeh presented 'A new approach for rainfall-runoff modelling of catchments; REW-approach'
and Tom Rientjes 'Optimum use of Hydrological state information in Physically-based runoff models'. More information can be found at the Daufin Homepage
at the Wageningen University.
The protection of Europe's precious freshwater resources and the implementation of measures that promote their sustainable use are complex tasks that demand
improvements in our scientific understanding of the fundamental hydrologic processes that act at the catchmentscale. Developing, implanting, and testing
a new integrative framework for catchment scale hydrological modeling and management is the focus of the research being proposed. This framework will make
use of a unifying modeling approach based on rigorous conservation equations for mass, momentum, energy and entropy for a watershed organised around the channel
network, and data assimilation, such that multiple data sources and model forecasts can be routinely combined in operational management procedures. The
implementation and application of this framework will be conducted on three important European river basins spanning six countries in southern, western
and central Europe.
| Achieved Objectives:
The final report summarizes the main results of the 20 month R&D project DAUFIN aiming at the development of improved tools for hydrological modeling. The tools
concentrate on a new catchment-based modeling approach- the Representative Elementary Watershed model - and new data assimilitation techniques. The main
strength of the REW approach is the combination of being general and physically based and at the same time operating at the sub-catchment level. Data assimilation
techniques have the potential to integrate observations and models in an automated way, so that automatic model calibration as well as online prediction with
state corrections is possible. Data assimilation can be useful to parameterize and correct the REW-model, while the REW-model has a size and the numerical
properties that are ideal for data assimilation purposes. In this way both approaches capitalize each others strengths.
In this report the coding of the REW model is explained, and it is shown in detail how it is applied to the Geer catchment, a sub-catchment of the Meuse. Next,
a number of new datat assimilation techniques, specifically suited for hydrological problems, are described. In the first place a nudging technique, aimed
at application in 2D or 3D Richards-based models, is explained and tested. Secondly, a technique based on cross-validation for application in a wide class
of lumped or distributed hydrological models is described. Both techniques for the automatic calibration of hydrological models is studied in the Geer and
the Ourthe (another tributary to the Meuse). Finally a statistical correction technique is applied to the assimilation of Meteosat-based evapotranspiration
data in a distributed hydrological model. The efficiency of the last method is tested on data from the Mehaige, Ourthe Orientale, Eau Blanche and Loison (Meuse
The conclusion of the project are that both the REW modeling technique as well as the newly deveoloped data assimilation techniques appear to be very useful
already at an early stage development. The techniques need to be further developed and tested for operational use. In the future there should be particular
attention to develop data assimilation algorithms that can handle problems typically encountered in hydrological applications: more robust handling of
unobservable system parts and multi-scale heterogeneity.
| Product Descriptions:
The focus of this project is a new watershed modelling approach developed by Paolo Reggiani (in his Ph.D. work at the University of Western Australia), Majid
Hassanizadeh and Sivapalan (also from U. Western Australia ). This modelling approach has been well received in the hydrologic community and this project
is an important step towards demonstrating the practical applicability of this approach.
| Additional Information:
| Project Resources:
Final Report of the DAUFIN project (Data Assimilation within a Unifying Modeling Framework for Improved River Basin Water Resources Management)
Tikhonov regularization as a tool for assimilating soil moisture data in distributed hydrological models
| Funding Programme(s):
EC Framework Programme 5
| Link to Organisations:
Prof Paul Bardos
Who does what?
Professor Paul Bardos
Who does what?