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Spatial Data and Model Input Preparation

Submitted by Ananda Rohn on
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Accurate predictive modelling requires rigorous preparation and harmonisation of spatial and non-spatial input data.

The preparation workflow includes:

1. Spatial Delineation and Hydrological Structuring

  • Catchment and sub-basin delineation

  • River network extraction

  • Identification of hydrological response units

2. Land Use and Soil Parameterisation

  • Harmonisation of land-use classifications

  • Soil property mapping

  • Assignment of crop management parameters

3. NSWRM Parameterisation

  • Translation of structural and management measures into model parameters

  • Definition of infiltration rates, retention capacities, drainage coefficients

  • Representation of conservation tillage, cover crops and vegetative measures

4. Climate Data Integration

  • Historical climate datasets

  • Bias-corrected climate projections

  • Integration into modelling workflows

Additional methodological developments addressed data scarcity challenges, including preprocessing tools and standardised parameterisation guidelines to ensure cross-regional comparability.

Through this structured preparation phase, OPTAIN ensures that optimisation results are derived from calibrated, harmonised and context-specific modelling environments, enabling meaningful comparison across case studies.