# May 26, 2021: Accessing Hydrology and Climatology Database Using Web Services Through Python

**URL:** <https://discourse.pangeo.io/t/may-26-2021-accessing-hydrology-and-climatology-database-using-web-services-through-python/1521>\
**Category:** Pangeo Showcase\
**Created:** [May 28, 2021, 5:32pm UTC](https://discourse.pangeo.io/t/may-26-2021-accessing-hydrology-and-climatology-database-using-web-services-through-python/1521 "2021-05-28T17:32:49Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![lsmith](https://yyz2.discourse-cdn.com/flex030/user_avatar/discourse.pangeo.io/lsmith/32/973_2.png) [@lsmith](https://discourse.pangeo.io/u/lsmith)\
**Post date:** [May 28, 2021, 5:32pm UTC](https://discourse.pangeo.io/t/may-26-2021-accessing-hydrology-and-climatology-database-using-web-services-through-python/1521/1 "2021-05-28T17:32:49Z")

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[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.4837330.svg)](https://doi.org/10.5281/zenodo.4837330)

[![](https://canada1.discourse-cdn.com/flex030/uploads/pangeo/original/2X/e/edc654b492c6989c39a8e412a9f61727a8308f44.jpeg "Accessing Hydrology and Climatology Database Using Web Services Through Python") ](https://www.youtube.com/watch?v=eRDgyq0u4Y8)

Pangeo Showcase talk by Taher Chegini, University of Houston, Texasx

### Bio

Taher Chegini is a PhD Candidate at the University of Houston under supervision of Dr. Hong-Yi Li. Taher is mainly focused on large-scale hydrological modeling of urban areas within Earth System Modeling frameworks. He’s passionate about and an advocate for open source software and open science. He developed a stack of seven Python libraries called HyRiver for providing access to many hydrology and climatology databases through web services.

### Abstract

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](https://github.com/cheginit/pangeo_showcase21).