Science Score: 49.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 6 DOI reference(s) in README -
○Academic publication links
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✓Committers with academic emails
28 of 49 committers (57.1%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (16.3%) to scientific vocabulary
Last synced: 7 months ago
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JSON representation
Repository
Land Information System Framework
Basic Info
- Host: GitHub
- Owner: NASA-LIS
- License: apache-2.0
- Language: Fortran
- Default Branch: master
- Size: 238 MB
Statistics
- Stars: 127
- Watchers: 30
- Forks: 165
- Open Issues: 114
- Releases: 75
Created over 7 years ago
· Last pushed 7 months ago
Metadata Files
Readme
Contributing
License
README.adoc
= Land Information System Framework (LISF) ifdef::env-github[] :tip-caption: :bulb: :note-caption: :information_source: :important-caption: :heavy_exclamation_mark: :caution-caption: :fire: :warning-caption: :warning: endif::[] :url-lis-website: https://lis.gsfc.nasa.gov :url-hsl-website: https://earth.gsfc.nasa.gov/hydro // HTML passthrough to float LIS logo to the right ++++++++ == Overview The link:{url-lis-website}[Land Information System (LIS)] is a software framework for high performance terrestrial hydrology modeling and data assimilation developed with the goal of integrating satellite and ground-based observational data products and advanced modeling techniques to produce optimal fields of land surface states and fluxes. Development of LIS is led by the link:{url-hsl-website}[Hydrological Sciences Laboratory] at NASA's Goddard Space Flight Center. The software suite consists of three modeling components: . *Land surface Data Toolkit (LDT)*, a formal environment that handles the data-related requirements of LIS including land surface parameter processing, geospatial transformations, consistency checks, data assimilation preprocessing, and forcing bias correction, . *Land Information System (LIS)*, the modeling system that encapsulates physical models, data assimilation algorithms, optimization and uncertainty estimation algorithms, and high performance computing support, and . *Land surface Verification Toolkit (LVT)*, a formal model verification and benchmarking environment that can be used for enabling rapid prototyping and evaluation of model simulations by comparing against a comprehensive suite of in-situ, remote sensing, and model and reanalysis data products. Please visit our website for more information: {url-lis-website} == Documentation Online documentation is available link:https://nasa-lis.github.io/LISF/[here]. Navigate into the link:https://github.com/NASA-LIS/LISF/tree/master/docs[`docs/`] subdirectory of this repository to view our documentation. See the `docs/README` file for instructions. == Support Visit our link:https://github.com/NASA-LIS/LISF/discussions[Discussions] forum on GitHub. _Please note that the LIS team is small and provides support as time allows. As such, we ask for your patience when requesting assistance._ == Contributing We welcome feedback and contributions from the LISF user community. Please review our link:https://github.com/NASA-LIS/LISF/blob/master/CONTRIBUTING.md[Contribution Guidelines] before opening an issue or pull request. == License The Land Information System Framework (LISF) is released under the terms and conditions of the Apache License, Version 2.0. See https://www.apache.org/licenses/LICENSE-2.0. Please see the LICENSES subdirectories under `ldt/`, `lis/`, and `lvt/` for the licenses of the third-party components within LISF. == Citation Please use the following citations to cite or refer to the LIS software: Kumar, S.V., C.D. Peters-Lidard, Y. Tian, P.R. Houser, J. Geiger, S. Olden, L. Lighty, J.L. Eastman, B. Doty, P. Dirmeyer, J. Adams, K. Mitchell, E. F. Wood, and J. Sheffield, 2006: Land Information System - An interoperable framework for high resolution land surface modeling. _Environ. Modeling & Software_, 21, 1402-1415, link:https://doi.org/10.1016/j.envsoft.2005.07.004[doi:10.1016/j.envsoft.2005.07.004] Peters-Lidard, C.D., P.R. Houser, Y. Tian, S.V. Kumar, J. Geiger, S. Olden, L. Lighty, B. Doty, P. Dirmeyer, J. Adams, K. Mitchell, E.F. Wood, and J. Sheffield, 2007: High-performance Earth system modeling with NASA/GSFC's Land Information System. Innovations in Systems and Software Engineering, 3(3), 157-165, link:https://doi.org/10.1007/s11334-007-0028-x[doi:10.1007/s11334-007-0028-x]
Owner
- Name: NASA-LIS
- Login: NASA-LIS
- Kind: organization
- Repositories: 3
- Profile: https://github.com/NASA-LIS
GitHub Events
Total
- Create event: 21
- Commit comment event: 2
- Release event: 25
- Issues event: 25
- Watch event: 14
- Delete event: 15
- Issue comment event: 146
- Push event: 93
- Pull request review comment event: 27
- Pull request review event: 33
- Pull request event: 101
- Fork event: 10
Last Year
- Create event: 21
- Commit comment event: 2
- Release event: 25
- Issues event: 25
- Watch event: 14
- Delete event: 15
- Issue comment event: 146
- Push event: 93
- Pull request review comment event: 27
- Pull request review event: 33
- Pull request event: 101
- Fork event: 10
Committers
Last synced: 8 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Eric Kemp | e****p@n****v | 1,070 |
| James V. Geiger | j****r@n****v | 567 |
| Sarith Mahanama | s****a@n****v | 179 |
| Brendan McAndrew | b****w@n****v | 177 |
| Sujay V. Kumar | S****r@n****v | 148 |
| Kristi R. Arsenault | k****t@n****v | 115 |
| Mahdi Navari | m****i@n****v | 90 |
| David Mocko | D****o@n****v | 83 |
| Yeosang Yoon | y****n@n****v | 79 |
| lbusschaert | l****t@k****e | 75 |
| Brendan McAndrew | 1****r | 45 |
| Colin McLaughlin | c****n@n****v | 45 |
| Dan Rosen | d****n@n****v | 42 |
| Daniel Sarmiento | d****o@n****v | 28 |
| Yonghwan Kwon | y****n@n****v | 18 |
| dpsarmie | 4****e | 18 |
| Wanshu Nie | n****5@g****m | 17 |
| Ryan A. Zamora | r****a@n****v | 17 |
| Jessica Erlingis | j****s@n****v | 16 |
| Melissa Wrzesien | m****n@n****v | 16 |
| Shugong Wang | s****g@n****v | 14 |
| Chandana Gangodagamage | c****e@n****v | 12 |
| Peter J. Shellito | p****o@n****v | 11 |
| Wendy Sharples | w****0@r****) | 11 |
| Wendy Sharples | w****0@r****) | 10 |
| Rhae Sung Kim | r****m@n****v | 10 |
| Michel Bechtold | m****d@k****e | 10 |
| Abheera Hazra | a****a@n****v | 8 |
| Timothy M. Lahmers | t****s@d****e | 6 |
| Natt Tangdamrongsub | n****b@n****v | 4 |
| and 19 more... | ||
Committer Domains (Top 20 + Academic)
nasa.gov: 27
kuleuven.be: 2
discover34.prv.cube: 2
noaa.gov: 1
raijin2.(none): 1
raijin3.(none): 1
discover35.prv.cube: 1
discover33.prv.cube: 1
raijin6.(none): 1
raijin5.(none): 1
gadi-login-02.gadi.nci.org.au: 1
discover13.prv.cube: 1
discover08.prv.cube: 1
discover16.prv.cube: 1
discover18.prv.cube: 1
discover32.prv.cube: 1
gadi-login-07.gadi.nci.org.au: 1
gadi-login-08.gadi.nci.org.au: 1
Issues and Pull Requests
Last synced: 7 months ago
All Time
- Total issues: 108
- Total pull requests: 305
- Average time to close issues: about 1 year
- Average time to close pull requests: about 1 month
- Total issue authors: 25
- Total pull request authors: 22
- Average comments per issue: 0.91
- Average comments per pull request: 2.3
- Merged pull requests: 247
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 21
- Pull requests: 105
- Average time to close issues: about 1 month
- Average time to close pull requests: 8 days
- Issue authors: 11
- Pull request authors: 11
- Average comments per issue: 0.29
- Average comments per pull request: 1.97
- Merged pull requests: 81
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- karsenau (18)
- dmocko (17)
- emkemp (15)
- LIS-navari (12)
- yyoon4 (9)
- sujayvkumar (9)
- cmclaug2 (3)
- smahanam (3)
- jerlingi (2)
- danrosen25 (2)
- TimLahmers (2)
- shaider2 (2)
- jupflug (2)
- hkato1 (1)
- hajun97 (1)
Pull Request Authors
- emkemp (92)
- jvgeiger (91)
- karsenau (35)
- dmocko (19)
- LIS-navari (15)
- yyoon4 (14)
- smahanam (9)
- danrosen25 (8)
- mlwrzesien (6)
- cmclaug2 (4)
- TimLahmers (4)
- lbusschaert (4)
- sujayvkumar (4)
- cenlinhe (2)
- sshatanawi (2)
Top Labels
Issue Labels
enhancement (48)
bug (43)
Documentation (5)
metforcing (5)
HighPriority (5)
LISF 557 WW 7.7 (3)
eis-freshwater2 (3)
DiscussionNeeded (2)
LowPriority (2)
Discussion (2)
LISF 557WW 7.6 (1)
LISF 557WW 7.4 (1)
good first issue (1)
LISF 7.5 (1)
LISF 557WW 7.5 (1)
Pull Request Labels
HighPriority (107)
LISF 557WW 7.5 (78)
BugFix (76)
LISF 557WW 7.6 (67)
enhancement (46)
eis-freshwater2 (21)
NotReady (16)
Draft (12)
LISF 7.5 (10)
Documentation (9)
metforcing (9)
DO NOT MERGE (6)
bug (6)
DiscussionNeeded (5)
Cleanup :broom: (5)
eis-freshwater (5)
LowPriority (3)
invalid (2)
LISF 557 WW 7.7 (2)
AddToTestSuite (2)
next patch release (2)
help wanted (2)
LISF 557WW 7.4 (1)
Dependencies
.github/workflows/build-release-docs.yaml
actions
- actions/checkout v3 composite
- ruby/setup-ruby v1 composite
- svenstaro/upload-release-action v2 composite
.github/workflows/build-web-docs.yaml
actions
- JamesIves/github-pages-deploy-action v4.3.3 composite
- actions/checkout v3 composite
- ruby/setup-ruby v1 composite
.github/workflows/build-appimage.yaml
actions
- actions/checkout v3 composite
.github/scripts/appimage/Dockerfile
docker
- lisf_libraries latest build
++++
== Overview
The link:{url-lis-website}[Land Information System (LIS)] is a software framework for high performance terrestrial hydrology modeling and data assimilation developed with the goal of integrating satellite and ground-based observational data products and advanced modeling techniques to produce optimal fields of land surface states and fluxes.
Development of LIS is led by the link:{url-hsl-website}[Hydrological Sciences Laboratory] at NASA's Goddard Space Flight Center.
The software suite consists of three modeling components:
. *Land surface Data Toolkit (LDT)*, a formal environment that handles the data-related requirements of LIS including land surface parameter processing, geospatial transformations, consistency checks, data assimilation preprocessing, and forcing bias correction,
. *Land Information System (LIS)*, the modeling system that encapsulates physical models, data assimilation algorithms, optimization and uncertainty estimation algorithms, and high performance computing support, and
. *Land surface Verification Toolkit (LVT)*, a formal model verification and benchmarking environment that can be used for enabling rapid prototyping and evaluation of model simulations by comparing against a comprehensive suite of in-situ, remote sensing, and model and reanalysis data products.
Please visit our website for more information: {url-lis-website}
== Documentation
Online documentation is available link:https://nasa-lis.github.io/LISF/[here].
Navigate into the link:https://github.com/NASA-LIS/LISF/tree/master/docs[`docs/`] subdirectory of this repository to view our documentation. See the `docs/README` file for instructions.
== Support
Visit our link:https://github.com/NASA-LIS/LISF/discussions[Discussions] forum on GitHub.
_Please note that the LIS team is small and provides support as time allows. As such, we ask for your patience when requesting assistance._
== Contributing
We welcome feedback and contributions from the LISF user community. Please review our link:https://github.com/NASA-LIS/LISF/blob/master/CONTRIBUTING.md[Contribution Guidelines] before opening an issue or pull request.
== License
The Land Information System Framework (LISF) is released under the terms and conditions of the Apache License, Version 2.0. See https://www.apache.org/licenses/LICENSE-2.0.
Please see the LICENSES subdirectories under `ldt/`, `lis/`, and `lvt/` for the licenses of the third-party components within LISF.
== Citation
Please use the following citations to cite or refer to the LIS software:
Kumar, S.V., C.D. Peters-Lidard, Y. Tian, P.R. Houser, J. Geiger, S. Olden, L. Lighty, J.L. Eastman, B. Doty, P. Dirmeyer, J. Adams, K. Mitchell, E. F. Wood, and J. Sheffield, 2006: Land Information System - An interoperable framework for high resolution land surface modeling. _Environ. Modeling & Software_, 21, 1402-1415, link:https://doi.org/10.1016/j.envsoft.2005.07.004[doi:10.1016/j.envsoft.2005.07.004]
Peters-Lidard, C.D., P.R. Houser, Y. Tian, S.V. Kumar, J. Geiger, S. Olden, L. Lighty, B. Doty, P. Dirmeyer, J. Adams, K. Mitchell, E.F. Wood, and J. Sheffield, 2007: High-performance Earth system modeling with NASA/GSFC's Land Information System. Innovations in Systems and Software Engineering, 3(3), 157-165, link:https://doi.org/10.1007/s11334-007-0028-x[doi:10.1007/s11334-007-0028-x]