The LASAM simulates infiltration and runoff based on Layered Green & Ampt with redistribution (LGAR) model. LGAR is a model which partitions precipitation into infiltration and runoff, and is designed for use in arid or semi-arid climates. LGAR closely mimics precipitation partitioning results simulated by the famous Richards/Richardson equation (RRE), without the inherent reliability and stability challenges the RRE poses. Therefore, this model is useful when accurate, stable precipitation partitioning simulations are desired in arid or semi-arid areas. LGAR in Python (no longer supported) is available here.

Published papers: For details about the model please see our manuscript on LGAR (weblink).

Detailed instructions on how to build and run LASAM can be found here INSTALL.

• Test examples highlights
  • simulations with synthetic forcing data and unittest (see build/run).
  • simulations with real forcing data (see build/run)
  • LASAM coupling to Soil Freeze Thaw (SFT) model (see instructions)

A detailed description of the parameters for model configuration is provided here.

Realization files for running LASAM (coupled/uncoupled modes) in the nextgen framework are provided here.

For questions, please contact Ahmad (ahmad.jan(at)noaa.gov) and/or Peter (peter.lafollette(at)noaa.gov), the two main developers/maintainers of the repository.

LASAM is a newly developed model and we are constantly looking to improve the model and/or fix bugs as they arise. Please see the Git Issues for known issues or if you want to suggest adding a capability or to report a bug, please open an issue.

See general instructions to contribute to the model development (instructions) or simply fork the repository and submit a pull request.