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catchment-enricher

https://github.com/bradfordbates-noaa/catchment-enricher

Science Score: 54.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
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    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
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    Academic publication links
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    Committers with academic emails
    3 of 7 committers (42.9%) from academic institutions
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    JOSS paper metadata
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    Scientific vocabulary similarity
    Low similarity (6.3%) to scientific vocabulary
Last synced: 7 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: BradfordBates-NOAA
  • Language: Python
  • Default Branch: main
  • Size: 29.3 KB
Statistics
  • Stars: 3
  • Watchers: 2
  • Forks: 0
  • Open Issues: 2
  • Releases: 0
Created about 4 years ago · Last pushed almost 4 years ago
Metadata Files
Readme Citation

README.md

Catchment Enricher

This repository contains capabilities to enrich catchments with landcover information for a range of flood recurrence intervals. This information can be used to better calibrate synthetic rating curves used in inundation techniques based in the Height Above Nearest Drainage technique.

This repository is meant to complement the techniques being developed by the NOAA Office of Water Prediction Inundation Mapping Repository.

Abstract

Floods are the most frequent and most expensive natural disaster in the United States. As the effects of climate change are expected to increase into the 21st century, the projected increase in frequency and intensity of large flood events will likely cause severe economic, environmental, and societal damages. Therefore, it is vital to accurately predict the extent and duration of flood events to provide real-time, actionable hydrologic intelligence to forecasters, as well as to develop disaster mitigation strategies for communities.

The National Water Model (NWM) is a hydrologic model that simulates streamflow for the United States. The NOAA National Water Center (NWC) uses the NWM in conjunction with the Height Above Nearest Drainage (HAND) technique and HAND-derived synthetic stage-discharge rating curves to approximate inundation extent for the entire NWM domain. The NWC has developed capabilities to estimate the error associated with HAND-derived synthetic rating curves for catchments where truth data, such as USGS rating curves or high-resolution hydraulic models, exist. It is thought that by relating error to catchment attributes, such as slope or land cover, error can be predicted (and ultimately compensated for) in catchments where no truth data exist.

In this study, we examine land cover characteristics of each catchment in the NWM domain using the National Land Cover Database (NLCD). We develop a framework to determine land cover characteristics of catchments in the NWM domain, as well as the land cover present in inundated areas given a range of flood recurrence scenarios. The information provided by this framework can be used to better calibrate synthetic rating curves and improve inundation mapping.

Owner

  • Name: Brad
  • Login: BradfordBates-NOAA
  • Kind: user
  • Location: Remote

Citation (CITATION.cff) 

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: Catchment Enricher Repository
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Brad
    family-names: Bates
    email: bradford.bates@noaa.gov
    affiliation: Lynker
  - given-names: 'Anuska '
    family-names: Narayanan
    email: anarayanan1@crimson.ua.edu
    affiliation: The University of Alabama
  - given-names: Sophie
    family-names: Williams
    email: scwilliams8@crimson.ua.edu
    affiliation: The University of Alabama

GitHub Events

Total
Last Year

Committers

Last synced: almost 2 years ago

All Time
  • Total Commits: 31
  • Total Committers: 7
  • Avg Commits per committer: 4.429
  • Development Distribution Score (DDS): 0.516
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
BradfordBates-NOAA b****s@n****v 15
fastnish n****h@M****l 4
Sophie Williams 9****s 4
Sophie Williams s****8@c****u 3
Sophie Williams s****s@M****l 2
fastnish a****1@c****u 2
Anuska Narayanan 5****h 1
Committer Domains (Top 20 + Academic)
crimson.ua.edu: 2 noaa.gov: 1

Issues and Pull Requests

Last synced: almost 2 years ago

All Time
  • Total issues: 23
  • Total pull requests: 9
  • Average time to close issues: 12 days
  • Average time to close pull requests: 3 days
  • Total issue authors: 1
  • Total pull request authors: 3
  • Average comments per issue: 1.83
  • Average comments per pull request: 2.56
  • Merged pull requests: 9
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • BradfordBates-NOAA (15)
Pull Request Authors
  • sophiecress (2)
  • fastnish (2)
  • BradfordBates-NOAA (1)
Top Labels
Issue Labels
enhancement (7) dependencies (1) epic (1) documentation (1)
Pull Request Labels
enhancement (5)

Dependencies

environment.yml conda
  • affine 2.3.0
  • attrs 21.2.0
  • aws-c-common 0.4.57
  • aws-c-event-stream 0.1.6
  • aws-checksums 0.1.9
  • aws-sdk-cpp 1.8.185
  • blas 1.0
  • bottleneck 1.3.2
  • brotli 1.0.9
  • bzip2 1.0.8
  • ca-certificates 2021.7.5
  • cached-property 1.5.2
  • certifi 2021.5.30
  • cfitsio 3.470
  • click 7.1.2
  • click-plugins 1.1.1
  • cligj 0.7.2
  • curl 7.71.1
  • cycler 0.10.0
  • expat 2.4.1
  • fiona 1.8.13.post1
  • fonttools 4.25.0
  • freetype 2.10.4
  • freexl 1.0.6
  • gdal 3.0.2
  • geopandas 0.9.0
  • geopandas-base 0.9.0
  • geos 3.8.0
  • geotiff 1.6.0
  • h5netcdf 0.11.0
  • h5py 3.2.1
  • hdf4 4.2.13
  • hdf5 1.10.6
  • icc_rt 2019.0.0
  • intel-openmp 2021.3.0
  • joblib 1.0.1
  • jpeg 9b
  • kealib 1.4.14
  • kiwisolver 1.3.1
  • krb5 1.19.2
  • libcurl 7.71.1
  • libgdal 3.0.2
  • libiconv 1.15
  • libnetcdf 4.6.1
  • libpng 1.6.37
  • libpq 12.2
  • libspatialindex 1.9.3
  • libspatialite 4.3.0a
  • libssh2 1.9.0
  • libtiff 4.2.0
  • libxml2 2.9.12
  • lz4-c 1.9.3
  • m2w64-expat 2.1.1
  • m2w64-gcc-libgfortran 5.3.0
  • m2w64-gcc-libs 5.3.0
  • m2w64-gcc-libs-core 5.3.0
  • m2w64-gettext 0.19.7
  • m2w64-gmp 6.1.0
  • m2w64-libiconv 1.14
  • m2w64-libwinpthread-git 5.0.0.4634.697f757
  • m2w64-xz 5.2.2
  • mapclassify 2.4.3
  • matplotlib-base 3.4.2
  • mkl 2021.3.0
  • mkl-service 2.4.0
  • mkl_fft 1.3.0
  • mkl_random 1.2.2
  • msys2-conda-epoch 20160418
  • munch 2.5.0
  • munkres 1.1.4
  • networkx 2.6.2
  • numexpr 2.7.3
  • numpy 1.20.3
  • numpy-base 1.20.3
  • olefile 0.46
  • openjpeg 2.3.0
  • openssl 1.1.1l
  • pandas 1.3.1
  • pillow 8.3.1
  • pip 21.2.2
  • postgresql 12.2
  • proj 6.2.1
  • pyparsing 2.4.7
  • pyproj 2.6.1.post1
  • pyreadline 2.1
  • python-dateutil 2.8.2
  • python_abi 3.8
  • pytz 2021.1
  • pywin32 227
  • rasterio 1.1.1
  • rioxarray 0.6.1
  • rtree 0.9.7
  • scipy 1.6.2
  • setuptools 52.0.0
  • shapely 1.7.1
  • six 1.16.0
  • snuggs 1.4.7
  • sqlite 3.36.0
  • threadpoolctl 2.2.0
  • tiledb 2.2.9
  • tk 8.6.10
  • tornado 6.1
  • tqdm 4.62.1
  • vc 14.2
  • vs2015_runtime 14.27.29016
  • wheel 0.36.2
  • wincertstore 0.2
  • xarray 0.19.0
  • xerces-c 3.2.3
  • xz 5.2.5
  • zlib 1.2.11
  • zstd 1.4.9