TATOO – Python Topographic Analysis Tool Library for semi-automated setup of high-resolution integrated hydrologic models

While modelling includes many detailed processes, the model setup gets costly. Delineating distributed parameters requires advanced GIS processing techniques and programming expertise, limiting models' usage to researchers and practitioners with sufficient resources. Although high-resolution in...

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Bibliographic Details
Published in:Environmental modelling & software : with environment data news Vol. 153; p. 105406
Main Author: Mitterer, Johannes A.
Format: Journal Article
Language:English
Published: Oxford Elsevier Ltd 01.07.2022
Elsevier Science Ltd
Subjects:
Algorithms
computer software
Cross-section
High resolution
Hydrologic models
Hydrology
IHM
LARSIM
Libraries
Modelling
Parameters
Preprocessing
Python
Raster
Runoff
shapefile
Simulation models
subwatersheds
topography
Water levels
LARSIM
Hydrology
Preprocessing
Cross-section
Modelling
Python
IHM
ISSN:1364-8152, 1873-6726
Online Access:Get full text
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Summary:While modelling includes many detailed processes, the model setup gets costly. Delineating distributed parameters requires advanced GIS processing techniques and programming expertise, limiting models' usage to researchers and practitioners with sufficient resources. Although high-resolution input data get increasingly available, only a few preprocessing algorithms of integrated hydrological models can handle these in a reasonable time and for both subcatchment and raster model architectures. Here the collaborative open-source Python-3.6 Topographic Analysis Tool (TATOO) library is presented, integrating different models' preprocessing into one processing environment and combining not model-specific topographic preprocessing functions with model-specific parameter calculation functions. Utilising high-resolution DEMs and flow network shapefiles, TATOO offers algorithms to delineate (1) raster- or subcatchment-based model networks, (2) runoff generation, concentration and routing parameters, and (3) channel and foreland cross-section geometries including bankfull water levels. TATOO's capabilities and time requirements are demonstrated for the Large Area Runoff Simulation Model's preprocessing. •Open-source Python-3.6 Topographic Analysis Tools coupled with ESRI ArcGIS Pro.•Preprocessing of data for raster- and subcatchment-based hydrological models.•Utilization of high-resolution digital elevation models and complex flow networks.•Delineation of structure, runoff generation, concentration and routing parameters.•Automated river channel and foreland cross-section geometry delineation.
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ISSN:1364-8152
1873-6726
DOI:10.1016/j.envsoft.2022.105406