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Hydrods: Data Services In Support Of Physically Based, Distributed Hydrological Models, Tseganeh Zekiewos Gichamo, Nazmus S. Sazib, David G. Tarboton, Pabitra Dash

Publications

Physically based distributed hydrologic models require geospatial and time-series data that take considerable time and effort in processing them into model inputs. Tools that automate and speed up input processing facilitate the application of these models. In this study, we developed a set of web-based data services called HydroDS to provide hydrologic data processing ‘software as a service.’ HydroDS provides functions for processing watershed, terrain, canopy, climate, and soil data. The services are accessed through a Python client library that facilitates developing simple but effective data processing workflows with Python. Evaluations of HydroDS by setting up the Utah Energy Balance …