Published May 26, 2021 | Version v1
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Accessing Hydrology and Climatology Database Using Web Services Through Python

  • 1. University of Houston, Texas


Preparing and processing input data is one the most time consuming parts of hydrological and climate modeling, both physical and data-driven. The required input data are scattered through the web offered in various formats and through several web service protocols. A major barrier for streamlining the use of these web services in the scientific community, is the required technical skills and knowledge. HyRiver is a stack of Python libraries that bridges this gap by providing high-level APIs to these web services. This showcase provides a workflow for carrying out a data analysis across US East, West, and Gulf coasts. We get various datasets such as daily streamflow, river network, and climate data from different sources. Presentation materials are available here.



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