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https://github.com/NASA-LIS/LISF
Land Information System Framework
https://github.com/NASA-LIS/LISF
Last synced: 3 months ago
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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 (about 6 years ago)
- Default Branch: master
- Last Pushed: 2024-04-05T14:21:39.000Z (7 months ago)
- Last Synced: 2024-04-15T08:50:55.951Z (7 months ago)
- Language: Fortran
- Size: 231 MB
- Stars: 111
- Watchers: 30
- Forks: 151
- Open Issues: 121
-
Metadata Files:
- Readme: README.adoc
- Contributing: CONTRIBUTING.md
- License: LICENSE.txt
Awesome Lists containing this project
- open-sustainable-technology - 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. (Hydrosphere / Freshwater and Hydrology)
README
= 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]