Ice and ACE were developed by the U.S. Environmental Protection Agency in collaboration with other federal agencies, industry and universities to address data gaps in species sensitivity and reduce reliance on uncertainties in ecological risk assessment.
Topoflow is a powerful and spatially distributed hydrological model with a user-friendly click interface. Its main purpose is to simulate many different physical processes in a watershed, and its goal is to accurately predict how various hydrological variables will evolve in response to climate forces.
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.
Elm is mainly used to develop and share a better understanding of biological, chemical and hydrological interactions in landscape mosaic ecosystems. In the field of ecology, models can help organize or integrate our understanding of system ecology. This understanding can be applied to assess the relative benefits of simulation scenarios that will change in the future.
The partmc model is developed to simulate the evolution of aerosol particles in the atmosphere. Atmospheric aerosol particles are usually composed of complex mixtures of different chemical species, ranging in size from a few nanometers to tens of microns. Partmc model is very suitable for particle analysis because it can solve the whole synthesis space explicitly without any prior assumption of particle composition. Since the composition of each particle determines the optical properties of aerosols and the ability to form cloud droplets, these details are very important for determining the impact of aerosols on climate.
