This development repository serves a few main purposes.
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Hydrofabric processes are intentionally modular. This package provides a collection of R package that are designed for hydroscience. (e.g. tidyverse for hydrofabric development)
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Contains utilites needed for manipulating and enhancing hydrographic networks.
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It provides the utilities to subset the national dataset for regions upstream of a location (XY), hydrofabric ID, indexed hydrolocation (e.g. NWIS gage, HUC12 or NID) or NHDPlus COMID.
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It provides a wide range of documentation including the hydrofabric and cross section data model, the origins and development of the product that can be found on the landing page under articles.
NextGen artifacts are generated from a set of national reference datasets built in collaboration between NOAA, the USGS, and Lynker for federal water modeling efforts. These artifacts are designed to be easily updated, manipulated, and quality controlled to meet the needs of a wide range of modeling tasks while leveraging the best possible input data.
NextGen artifacts are publicly available through lynker-spatial under an ODbL license. If you use data, please ensure you (1) Attribute Lynker-Spatial, (2) Keep the data open, and that (3) any works produced from this data offer that adapted database under the ODbL.
# install.packages("remotes")
remotes::install_github("NOAA-OWP/hydrofabric")library(hydrofabric)## ── Attaching packages ───────────────────────────────────────────────────────── hydrofabric 0.0.9 ──
## ✔ dplyr 1.1.4 ✔ zonal 0.0.2
## ✔ climateR 0.3.5 ✔ hfsubsetR 0.0.9
## ✔ nhdplusTools 1.1.0 ✔ sf 1.0.17
## ✔ hydrofab 0.5.2 ✔ terra 1.7.71
## ── Conflicts ──────────────────────────────────────────────────────────── hydrofabric_conflicts() ──
## ✖ terra::plot() masks climateR::plot()
##
## Attaching package: 'hydrofabric'
## The following objects are masked _by_ 'package:hydrofab':
##
## append_style, hf_dm
library(hydrofabric) will load the core packages (alphabetical):
- climateR for accessing federated data stores for parameter and attributes estimation
- hfsubsetR for cloud-based hydrofabric subsetting
- hydrofab a tool set for “fabricating” multiscale hydrofabrics
- ngen.hydrofab NextGen extensions for hydrofab
- nhdplusTools for network manipulation
- zonal for catchment parameter estimation
Additionally it will load key geospatial data science libraries:
dplyr(data.frames)sf(vector)terra(raster)
# The output directory
o = "vignettes/tutorial/example.gpkg"
# Build subset
hfsubsetR::get_subset(comid = 101, outfile = o, overwrite = FALSE)## Warning in hfsubsetR::get_subset(comid = 101, outfile = o, overwrite = FALSE):
## vignettes/tutorial/example.gpkg already exists and overwrite is FALSE
## [1] "vignettes/tutorial/example.gpkg"
We have also created a CLI cloud based subsetter. Binaries of these can be installed at the release page.
NOTE: A Python Implementation is coming soon!
A wide range of data can be appended to the hydrofabric (subsets) from resources including NOAA core modules, streamcat, hydroatlas, USGS catchment characteristics, and more.
Preliminary documentation of these can be found here.
Additionally, open source tools like climateR and zonal can be used
to rapidly access and summarize data for a catchment set:
# Read Hydrofabric
hf = read_hydrofabric(o)
# Get Daymet Data
(tmax = getDaymet(hf$catchments, varname = "tmax", startDate = "2020-10-01"))## $tmax
## class : SpatRaster
## dimensions : 21, 19, 1 (nrow, ncol, nlyr)
## resolution : 1000, 1000 (x, y)
## extent : 480250, 499250, -1202500, -1181500 (xmin, xmax, ymin, ymax)
## coord. ref. : +proj=lcc +lat_0=42.5 +lon_0=-100 +lat_1=25 +lat_2=60 +x_0=0 +y_0=0 +ellps=WGS84 +units=m +no_defs
## source(s) : memory
## name : tmax_2020-10-01_na_total
## min value : 32.83
## max value : 33.79
## unit : degrees C
## time : 2020-10-01 UTC
(summary_stats = zonal::execute_zonal(tmax, hf$catchments, ID = "divide_id"))## Simple feature collection with 35 features and 4 fields
## Geometry type: POLYGON
## Dimension: XY
## Bounding box: xmin: 113055 ymin: 890715 xmax: 130425 ymax: 911055
## Projected CRS: NAD83 / Conus Albers
## First 10 features:
## divide_id areasqkm vpuid mean.tmax_2020.10.01_na_total geom
## 1 101 4.5666 12 33.49731 POLYGON ((130305 890715, 13...
## 2 1078473 12.3156 12 33.17984 POLYGON ((120345 900615, 12...
## 3 1078475 12.3408 12 33.21740 POLYGON ((117855 903975, 11...
## 4 1078513 6.4449 12 33.66863 POLYGON ((114645 895815, 11...
## 5 1078519 1.9197 12 33.69756 POLYGON ((115515 895755, 11...
## 6 1078525 0.3789 12 33.70147 POLYGON ((115965 895215, 11...
## 7 1078527 0.3312 12 33.72665 POLYGON ((114735 895485, 11...
## 8 1078535 0.3582 12 33.70396 POLYGON ((116445 895155, 11...
## 9 1078545 0.2862 12 33.70000 POLYGON ((116445 894735, 11...
## 10 1078549 4.6296 12 33.60812 POLYGON ((117675 894825, 11...
The NextGen artifacts are a model application dataset built to meet the aims of NextGen. By design, these artifacts are derived from a set of general authoritative data products outlined in figure 1 that have been built in close collaboration with the USGS.
Enterprise Hydrofabric System
These include a set of base data that improves the network topology and geometry validity while defining a set of community hydrolocations (POIs). These 4 data products are used to build an intermediate refactored network from which one hydrofabric network has been aggregated to a set of community hydrolocations (minimal network), and one has been aggregated to a more consistent size (3-10 sqkm) with enforced POI locations (target distribution). NextGen specifically is derived from the target size aggregated product while the upcoming developments on the National Hydrologic Model (NHM) will be built from the community minimal network.
While these two aggregations serve a wide range of federal modeling needs, our focus on open source software development and workflows allow interested parties to build there own networks starting with either the 4 reference datasets, or the refactored network!
The hydrofabric builds on the OGC HY_Features conceptual model, the Hydrofabric Logical model, and the proposed Hydrofabric Data Model. A high level introduction to these resources can be found on the USGS Water Data blog.
Please cite data and use as:
Mike Johnson (Hydrofabric Lead)Johnson, J. M. (2022). National Hydrologic Geospatial Fabric (hydrofabric) for the Next Generation (NextGen) Hydrologic Modeling Framework, HydroShare, http://www.hydroshare.org/resource/129787b468aa4d55ace7b124ed27dbde
Disclaimer: These data are preliminary or provisional and are subject to revision. They are being provided to meet the need for timely best science. The data have not received final approval by the National Oceanic and Atmospheric Administration (NOAA) or the U.S. Geological Survey (USGS) and are provided on the condition that the U.S. Government shall not be held liable for any damages resulting from use of the data.