lis-bootcamp

LIS Bootcamp

This repository contains a collection of information intended to rapidly orient new members of NASA’s Land Information System (LIS) team.

Contents

• Overview of LIS
• Important Links
• Glossary of Terms and Concepts
• LIS on NCCS Discover - Quick Start Guide

Overview of NASA’s Land Information System

NASA’s 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. LIS is used to study land surface processes and land-atmosphere interactions, using “best available observations” to force and constrain the models. The LIS framework also enables a number of applications including:

• weather and climate model initialization
• water resources management
• natural hazards management

The LIS framework is comprised of three components:

• Land Information System (LIS) - the modeling and data assimilation framework
• Land Data Toolkit (LDT) - supports the data preprocessing needs for LIS (e.g., parameter data processing, data assimilation support, forcing bias correction)
• Land Verification Toolkit (LVT) - environment for model benchmarking and evaluation

For more background on LIS, see the following articles:

• Kumar et al. (2006): Land Information System: An interoperable Framework for High Resolution Land Surface Modeling, Environmental Modeling and Software, Vol 21, pp 1402-1415.

• Peter-Lidard et al. (2007): High-performance earth system modeling with NASA/GSFC’s Land Information System, Innovations in Systems and Software Engineering, 3(3),157-165.

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Important Links

• LIS Website
  • Documentation
    • LIS Documentation
      • Planning to contribute? Check out the LIS Developers’ Guide before you get started.
    • LDT Documentation
    • LVT Documentation
  • Frequently Asked Questions
• LIS GitHub Page
  • This is where the LIS source code lives!
• NASA’s Modeling Guru Forum
  • Need help with LIS? Search the forum and ask for help!

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Acknowledgements

Thanks to Sujay Kumar, Christa Peters-Lidard, Jim Geiger, Eric Kemp, Kristi Arsenault, Tim Lahmers, Kimberly Slinski, Mahdi Navari for their input!

Want to contribute? Check out the Contribution Guidelines!