A software framework for construction of process-based stochastic spatio-temporal models and data assimilation

  • Authors:

  • Derek Karssenberg;Oliver Schmitz;Peter Salamon;Kor de Jong;Marc F. P. Bierkens

  • Affiliations:

  • Department of Physical Geography, Faculty of Geosciences, Utrecht University, Heidelberglaan 2, PO Box 80115, 3508 TC, Utrecht, The Netherlands;Department of Physical Geography, Faculty of Geosciences, Utrecht University, Heidelberglaan 2, PO Box 80115, 3508 TC, Utrecht, The Netherlands;Land Management and Natural Hazards Unit, Institute for Environment and Sustainability, DG Joint Research Centre, European Commission, Via Enrico Fermi 2749, TP 261, 21027 Ispra (Va), Italy;Department of Physical Geography, Faculty of Geosciences, Utrecht University, Heidelberglaan 2, PO Box 80115, 3508 TC, Utrecht, The Netherlands;Department of Physical Geography, Faculty of Geosciences, Utrecht University, Heidelberglaan 2, PO Box 80115, 3508 TC, Utrecht, The Netherlands and Deltares, Unit Soil and Groundwater, PO Box 3508 ...

  • Venue:
  • Environmental Modelling & Software
  • Year:
  • 2010

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Abstract

Process-based spatio-temporal models simulate changes over time using equations that represent real world processes. They are widely applied in geography and earth science. Software implementation of the model itself and integrating model results with observations through data assimilation are two important steps in the model development cycle. Unlike most software frameworks that provide tools for either implementation of the model or data assimilation, this paper describes a software framework that integrates both steps. The software framework includes generic operations on 2D map and 3D block data that can be combined in a Python script using a framework for time iterations and Monte Carlo simulation. In addition, the framework contains components for data assimilation with the Ensemble Kalman Filter and the Particle filter. Two case studies of distributed hydrological models show how the framework integrates model construction and data assimilation.