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isnoda

HRRR-ISNOBAL model setup using a conda environment and utilities to compare its output.

https://github.com/uofu-cryosphere/isnoda

Science Score: 67.0%

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

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 10 DOI reference(s) in README
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ✓
    Committers with academic emails
    5 of 9 committers (55.6%) from academic institutions
  • ✓
    Institutional organization owner
    Organization uofu-cryosphere has institutional domain (www.geog.utah.edu)
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (10.9%) to scientific vocabulary

Keywords

albedo conda dask hrrr hydrology modelling remote-sensing snow water

Keywords from Contributors

mesh interpretability sequences projection interactive optim hacking network-simulation
Last synced: 6 months ago · JSON representation

Repository

HRRR-ISNOBAL model setup using a conda environment and utilities to compare its output.

Basic Info
  • Host: GitHub
  • Owner: UofU-Cryosphere
  • License: mit
  • Language: HTML
  • Default Branch: master
  • Homepage:
  • Size: 13.3 MB
Statistics
  • Stars: 10
  • Watchers: 1
  • Forks: 3
  • Open Issues: 5
  • Releases: 6
Topics
albedo conda dask hrrr hydrology modelling remote-sensing snow water
Created almost 6 years ago · Last pushed 7 months ago
Metadata Files
Readme License Zenodo

README.md

iSnoda

iSnobal installation in a local conda environment that allows for editing of: * AWSM * SMRF * PySnobal * TopoCalc

Conda

Contains environment.yml file and de/activation scripts to setup required env variables. Also has an install script to download the above components (plus their dependencies) and adds them to the environment in editable mode.

Config

Backup of configuration files.

Notebooks

Collection of Jupyter notebooks for mostly output analysis.

Package

Snobedo package

Scripts

Helper scripts to download or prepare data and execute the model components.

Snobal 1D

Example on how to run the one dimensional implementation of Snobal.

Development

Any updates to the conda installation needs to be done on a branch with a conda- prefix. This will trigger a build on Travis and verifies integrity of changes.

Publications

This work was developed as part of two publications: * Geoscientific Model Development
Zenodo DOI
Meyer, J., Horel, J., Kormos, P., Hedrick, A., Trujillo, E., and Skiles, S. M.: Operational water forecast ability of the HRRR-iSnobal combination: an evaluation to adapt into production environments, Geosci. Model Dev., 16, 233–250, https://doi.org/10.5194/gmd-16-233-2023, 2023.

  • Journal of Hydrology
    Zenodo DOI
    Meyer, J., Hedrick, A., and McKenzie Skiles, S.: A new approach to net solar radiation in a spatially distributed snow energy balance model to improve snowmelt timing, Journal of Hydrology, 131490, https://doi.org/10.1016/j.jhydrol.2024.131490, 2024.

Owner

  • Name: University of Utah - Snow/Ice
  • Login: UofU-Cryosphere
  • Kind: organization
  • Location: Salt Lake City, UT

GEOG Cryosphere Lab

GitHub Events

Total
  • Create event: 22
  • Issues event: 4
  • Watch event: 1
  • Delete event: 22
  • Member event: 2
  • Issue comment event: 15
  • Push event: 77
  • Pull request event: 42
  • Pull request review comment event: 21
  • Pull request review event: 44
  • Fork event: 2
Last Year
  • Create event: 22
  • Issues event: 4
  • Watch event: 1
  • Delete event: 22
  • Member event: 2
  • Issue comment event: 15
  • Push event: 77
  • Pull request event: 42
  • Pull request review comment event: 21
  • Pull request review event: 44
  • Fork event: 2

Committers

Last synced: over 1 year ago

All Time
  • Total Commits: 510
  • Total Committers: 9
  • Avg Commits per committer: 56.667
  • Development Distribution Score (DDS): 0.071
Past Year
  • Commits: 32
  • Committers: 4
  • Avg Commits per committer: 8.0
  • Development Distribution Score (DDS): 0.625
Top Committers
Name Email Commits
Joachim Meyer j****r@u****u 474
J. Michelle Hu 4****u 10
dmragar d****r@u****u 9
Joachim Meyer j****r@b****u 8
dependabot[bot] 4****] 3
Joachim Meyer j****y@u****u 2
dmragar d****r@g****m 2
dmragar d****r@c****u 1
Dillon Ragar 3****r 1
Committer Domains (Top 20 + Academic)
utah.edu: 2 colorado.edu: 1 uw.edu: 1 boisestate.edu: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 11
  • Total pull requests: 66
  • Average time to close issues: 5 months
  • Average time to close pull requests: 18 days
  • Total issue authors: 3
  • Total pull request authors: 5
  • Average comments per issue: 0.36
  • Average comments per pull request: 0.29
  • Merged pull requests: 60
  • Bot issues: 0
  • Bot pull requests: 3
Past Year
  • Issues: 3
  • Pull requests: 18
  • Average time to close issues: N/A
  • Average time to close pull requests: 15 days
  • Issue authors: 2
  • Pull request authors: 3
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.5
  • Merged pull requests: 14
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • jomey (11)
  • dmragar (1)
  • jmichellehu (1)
Pull Request Authors
  • jomey (70)
  • jmichellehu (5)
  • dependabot[bot] (3)
  • dmragar (2)
  • arobledano (1)
Top Labels
Issue Labels
enhancement (2) bug (1) documentation (1)
Pull Request Labels
enhancement (2) documentation (1)

Dependencies

comparison/environment.yml conda
  • cfgrib
  • dask
  • dask-jobqueue
  • gdal
  • hvplot
  • ipykernel
  • matplotlib
  • nc-time-axis
  • netcdf4
  • numba
  • numpy
  • palettable
  • pandas
  • python
  • rasterio
  • scipy
  • xarray
  • zarr
conda/environment.yml conda
  • beautifulsoup4
  • cfgrib
  • cftime 1.5.2.*
  • coloredlogs
  • cython
  • dateparser 0.7.4.*
  • gcc 8.5.0.*
  • make
  • nco
  • netcdf4
  • numpy 1.20.3.*
  • openmpi 4.1.2.*
  • pandas 1.3.5.*
  • pip
  • progressbar2
  • pykrige
  • python 3.7.*
  • pytz
  • pyyaml
  • regex
  • requests
  • scipy
  • setuptools_scm <4.2
  • siphon
  • urllib3
  • utm
  • xarray 0.15.1.*
package/environment.yml conda
  • dask
  • dask-jobqueue
  • gdal
  • h5py
  • netcdf4
  • pip
  • python
  • xarray
  • zarr
snobal_1d/requirements.txt pypi
  • Jinja2 ==2.11.2
  • MarkupSafe ==1.1.1
  • MesoPy ==2.0.3
  • Pillow ==8.0.1
  • Pygments ==2.7.2
  • Send2Trash ==1.5.0
  • appnope ==0.1.0
  • argon2-cffi ==20.1.0
  • async-generator ==1.10
  • attrs ==20.2.0
  • backcall ==0.2.0
  • bleach ==3.3.0
  • cachetools ==4.2.0
  • certifi ==2020.6.20
  • cffi ==1.14.3
  • chardet ==3.0.4
  • chart-studio ==1.1.0
  • cycler ==0.10.0
  • decorator ==4.4.2
  • defusedxml ==0.6.0
  • earthengine-api ==0.1.246
  • entrypoints ==0.3
  • future ==0.18.2
  • google-api-core ==1.24.0
  • google-api-python-client ==1.12.8
  • google-auth ==1.24.0
  • google-auth-httplib2 ==0.0.4
  • google-cloud-core ==1.5.0
  • google-cloud-storage ==1.35.0
  • google-crc32c ==1.1.0
  • google-resumable-media ==1.2.0
  • googleapis-common-protos ==1.52.0
  • httplib2 ==0.19.0
  • httplib2shim ==0.0.3
  • idna ==2.10
  • ipykernel ==5.3.4
  • ipython ==7.18.1
  • ipython-genutils ==0.2.0
  • jedi ==0.17.2
  • json5 ==0.9.5
  • jsonschema ==3.2.0
  • jupyter-client ==6.1.7
  • jupyter-core ==4.6.3
  • jupyterlab ==2.2.9
  • jupyterlab-pygments ==0.1.2
  • jupyterlab-server ==1.2.0
  • kiwisolver ==1.2.0
  • matplotlib ==3.3.2
  • missingno ==0.4.2
  • mistune ==0.8.4
  • nbclient ==0.5.1
  • nbconvert ==6.0.7
  • nbformat ==5.0.8
  • nest-asyncio ==1.4.2
  • notebook ==6.1.5
  • numpy ==1.19.2
  • packaging ==20.4
  • pandas ==1.1.3
  • pandocfilters ==1.4.3
  • parso ==0.7.1
  • pexpect ==4.8.0
  • pickleshare ==0.7.5
  • plotly ==4.12.0
  • prometheus-client ==0.8.0
  • prompt-toolkit ==3.0.8
  • protobuf ==3.14.0
  • ptyprocess ==0.6.0
  • pyasn1 ==0.4.8
  • pyasn1-modules ==0.2.8
  • pycparser ==2.20
  • pyparsing ==2.4.7
  • pyrsistent ==0.17.3
  • python-dateutil ==2.8.1
  • pytz ==2020.1
  • pyzmq ==19.0.2
  • requests ==2.24.0
  • retrying ==1.3.3
  • rsa ==4.6
  • scipy ==1.5.3
  • seaborn ==0.11.0
  • six ==1.15.0
  • terminado ==0.9.1
  • testpath ==0.4.4
  • tornado ==6.0.4
  • traitlets ==5.0.5
  • uritemplate ==3.0.1
  • urllib3 ==1.25.11
  • wcwidth ==0.2.5
  • webencodings ==0.5.1
  • xlrd ==1.2.0