LISF

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.
https://github.com/NASA-LIS/LISF

Category: Hydrosphere
Sub Category: Freshwater and Hydrology

Last synced: about 9 hours ago
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Repository metadata

Land Information System Framework

• Host: GitHub
• URL: https://github.com/NASA-LIS/LISF
• Owner: NASA-LIS
• License: apache-2.0
• Created: 2018-11-07T17:39:35.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2025-04-02T16:25:04.000Z (25 days ago)
• Last Synced: 2025-04-25T05:01:52.514Z (2 days ago)
• Language: Fortran
• Size: 237 MB
• Stars: 124
• Watchers: 29
• Forks: 159
• Open Issues: 119
• Releases: 72
• Metadata Files:
  • Readme: README.adoc
  • Contributing: CONTRIBUTING.md
  • License: LICENSE.txt

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
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== 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]

        

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Owner metadata

• Name: NASA-LIS
• Login: NASA-LIS
• Email:
• Kind: organization
• Description:
• Website:
• Location:
• Twitter:
• Company:
• Icon url: https://avatars.githubusercontent.com/u/42041231?v=4
• Repositories: 3
• Last ynced at: 2023-03-06T00:48:10.997Z
• Profile URL: https://github.com/NASA-LIS

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GitHub Events

Total

• Create event: 15
• Commit comment event: 2
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• Issues event: 19
• Watch event: 11
• Delete event: 10
• Issue comment event: 115
• Push event: 47
• Pull request review comment event: 27
• Pull request review event: 33
• Pull request event: 80
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Last Year

• Create event: 15
• Commit comment event: 2
• Release event: 19
• Issues event: 19
• Watch event: 11
• Delete event: 10
• Issue comment event: 115
• Push event: 47
• Pull request review comment event: 27
• Pull request review event: 33
• Pull request event: 80
• Fork event: 5

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Committers metadata

Last synced: 6 days ago

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Eric Kemp	e****p@n****v	1055
James V. Geiger	j****r@n****v	552
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	112
Mahdi Navari	m****i@n****v	90
David Mocko	D****o@n****v	83
Yeosang Yoon	y****n@n****v	75
lbusschaert	l****t@k****e	75
Colin McLaughlin	c****n@n****v	45
Brendan McAndrew	1****r	45
Dan Rosen	d****n@n****v	37
Daniel Sarmiento	d****o@n****v	28
dpsarmie	4****e	18
Yonghwan Kwon	y****n@n****v	18
Ryan A. Zamora	r****a@n****v	17
Wanshu Nie	n****5@g****m	17
Melissa Wrzesien	m****n@n****v	16
Jessica Erlingis	j****s@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
Michel Bechtold	m****d@k****e	10
Rhae Sung Kim	r****m@n****v	10
Abheera Hazra	a****a@n****v	8
Timothy M. Lahmers	t****s@d****e	6
Natt Tangdamrongsub	n****b@n****v	4
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