Hydroclimate Data Retriever#

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HyRiver (formerly named hydrodata) is a suite of Python packages that provides a unified API for retrieving geospatial/temporal data from various web services. HyRiver includes two categories of packages:

  • Low-level APIs for accessing any of the supported web services, i.e., ArcGIS RESTful, WMS, and WFS.

  • High-level APIs for accessing some of the most commonly used datasets in hydrology and climatology studies. Currently, this project only includes hydrology and climatology data within the US.

Low- and high-level APIs

Citation#

If you use any of HyRiver packages in your research, we appreciate citations:

@article{Chegini_2021,
    author = {Chegini, Taher and Li, Hong-Yi and Leung, L. Ruby},
    doi = {10.21105/joss.03175},
    journal = {Journal of Open Source Software},
    month = {10},
    number = {66},
    pages = {1--3},
    title = {{HyRiver: Hydroclimate Data Retriever}},
    volume = {6},
    year = {2021}
}
High-level APIs for accessing some pre-configured web services

Navigate and subset mid- and high-res NHD, NHDPlus, and NHDPlus VAA using WaterData, NLDI, ScienceBase, and The National Map web services.

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Access NWIS, NID, HCDN 2009, NLCD, and SSEBop databases.

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Access topographic data through The National Map’s 3DEP web service.

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Access Daymet for daily, monthly and annual summaries of climate data at 1-km scale for both single pixels and gridded, over the North America, Hawaii, and Puerto Rico.

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Access GridMet for daily climate data at 4-km scale for both single pixels and gridded data, over the conterminous United States.

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Access hourly NLDAS-2 forcing data.

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A collection of tools for computing hydrological signatures

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Low-level APIs for connecting to supported web service protocols

Send queries to and receive responses from any ArcGIS RESTful-, WMS-, and WFS-based services.

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Convert responses from PyGeoOGC’s supported web services protocols into geospatial and raster datasets.

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Asynchronous send/receive requests with persistent caching.

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