Parflow is an open source, object-oriented and parallel watershed scale model. It includes a fully integrated land flow with the ability to simulate complex topography, geology and heterogeneity, as well as land surface processes including land energy budget, biogeochemistry, and snow (through CLM). It can run on multiple platforms. Parflow is the result of a long, multi agency development history and is now a collaboration between CSM, LLNL, uni Bonn and UCB. Parflow is combined with mesoscale, weather code ARPS and NCAR code WRF.

The bahm model is a tool to analyze the potential impacts of hydrological changes in land development projects and to grade structural solutions to mitigate the increased stormwater runoff in these projects. The software was developed in three counties in the San Francisco Bay Area: Alameda, San Mateo and Santa Clara.

Modular ocean model (MOM) is a standard global ocean circulation model used by many researchers in the world. The origin of this model can be traced back to the community code originally developed by Kirk Bryan and Mike Cox in the 1960s, and many other global ocean models can be traced back to their origins. In the early 1990s, Ron pacanowski, Keith Dixon, and Tony Rosati redesigned the old code into a more modern format, while Steve griffies led the development of mom since 2000. However, mom is really a community code, and many people, both in gfdl and around the world, have made fundamental contributions to its successful development over the years.

PRMs is a modular design modeling system for assessing the impacts of various combinations of precipitation, climate and land use on surface runoff, sediment yield and general watershed hydrology.

The development of the lean model and its application in several parts of the continental United States were managed by a team of faculty, staff and students at the University of Illinois at Urbana Champaign. Leam helps others understand the relationship between human economic / cultural activities and biophysical cycles from the perspective of changing land use. Understanding how one system affects another will enable us to make better land use management decisions in the future.