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The current list of use cases is a snap shot of what this page will contain in the future. The team is working on improving the use case pages to provide meaningful examples of how active WMA projects are using data and tools. Tell us about your experience using the catalog!

WMA integrated data and tools catalog - Use Cases ()

A use case demonstrates how WMA uses datasets and tools to build workflows and answer science questions in a reproducible and reusable way.

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NHGF Usecases Table
Name	Domain	Description	Language
3dep-grid-to-line	Topography Stream Characteristics	In this example, a set of NHD stream-segments accessed using the HyRiver package. A USGS 3DEP Elevation dataset is pulled in using the ClimateR-Catalog. Finally, gdptools is used to interpolate the 3DEP elevation to the NHD stream-segments.	Python
Advanced NHDPlus Network Attributes	Hydrology	Summary of NHDPlus network attributes that are central to the reference fabric, NLDI, and NHDPlus data model generally. Highlights the nhdplusTools package as well as the NHD data use in many aspects of the NHGF	R
Aggregate gridMET data to NHD Flowlines and sample points	Domain Agnostic	Using the gdptools python package, aggregate gridMET climate data to a NHD Flowline and return the aggregated values at regularly space sample points.	Python
Asynchronous Processing via OGC API Processes	Domain Agnostic	This application describes how to execute gdptools processes asynchronously using the OGC processes API via web service calls to pygeoapi.	Python
Catchment characteristics ScienceBase collection	Climate Geology Hydrogeology Hydrology Infrastructure Land Cover Soils Stream Characteristics Topography Water Use	Multiple variables of natural and anthropogenic landscape features linked to NHDPlus v2 (stream segments, catchments, and upstream watersheds) within the conterminous United States. These data allow researchers to acquire landscape information for both catchments and full upstream watersheds of specific stream reaches anywhere in the within the conterminous United States without having to perform specialized geospatial processing.	R
Dockerized Deployment of Data Services Through Pygeoapi	Domain Agnostic	Using Pygeoapi to distribute custom analysis-ready data services to the public.	API
Dockerized Deployment of GeoServer and Analysis Ready Data	Domain Agnostic	Using GeoServer to distribute analysis-ready data to the public via standardized, open source, dynamic services.	API
Environmental Data Retrieval (EDR) Use Case	Domain Agnostic	Overview of accessing spatio-temporal data via the OGC EDR API via a deployed pygeoapi instance.	Python
gdptools-climater-catalog	Climate Hydrology	In this notebook we will spatially interpolate a set of variables including `actual evapotranspiration (aet)`, `potential evapotranspiration (pet)`, and `Palmer Drought Severity Index (PDSI)` from the Terraclimate dataset to a fabric of HUC12 in the Delaware River Basin. The bulk of the processing is done with the Geo Data Processing Tools (GDPTools) python package. A highlight of this use-case is introducing the ClimateR-Catalog of common climate datasets.	Python
gdptools-conus404	Climate Hydrology	This notebook demonstrates the use of GDPTools for spatially interpolating (Aggregation) Conus404 data to a set of HUC12s in the Delaware River Basin.	Python
gdptools-nlcd	Land Cover Hydrology	The 2019 Land Cover product from the National Land Cover Database is interpolated to the Delaware River Basin HUC12s using the Geo Data Processing Tools (gdptools) grid-to-polygon area-weighted statistics tools.	Python
hi-raster-summarization	Hydrology Topography Land Use Land Cover	This notebook demonstrates the use of gdptools for raster summarization for model parameterization inputs	Python
NWWDB-Tools: Harmonizing lithologic logs using natural language processing	Hydrogeology	The NWWDB-Tools Python package contains functionality for harmonizing lithologic logs using natural language processing.	Python
Open Storage Network (OSN) Pod Access	Domain Agnostic	This notebook describes how to access data on the Open Storage Network (OSN) Pod through the AWS command line interface and Python/xarray.	NA
poly-to-poly-interpolation	Hydrology	This notebook demonstrates the generation and aggregation from one polygon source to another polygon target. The example here demonstrates mapping USGS National Hydrologic Model output to CONUS HUC12s. Calculation of area weighted statistics as shown here is useful process in many water budget or landscape analysis applications.	Python
Regridding gridded climate data to NHD HUC12 polygons	Climate	Use the gdptools python package to aggregate gridMET climate forcing dataset to HUC12 polygons within a drainage basin	Python
Working with the Hydro Location Inventory and NLDI: Demonstrated using a version of the National Inventory of Dams	Hydrology Infrastructure Stream Characteristics	The Hydro Location Inventory repository contains workflows that map hydrographic features (such as streamgages, hydrologic monitoring locations, or infrastructure that impacts water conveyances) from source datasets to a known digital stream network. The following use case demonstrates a workflow from the repository that takes a published spatial dataset (a modified version of the U.S. Army Corps of Engineers National Inventory of Dams (NID)), addresses the points to a digital stream network, associates additional identification attributes, and formats and publishes the dataset to the Network-Linked Data Index (NLDI).	R