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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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| 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 |
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 |
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 |
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 |