Models, Tools, and Databases for Climate Change Research
- Climate Change and Watersheds Model (BASINS-CAT)
BASINS is a multi-purpose, environmental analysis system that integrates a geographical information system (GIS), national watershed data, and state-of-the-art watershed modeling tools, including the Hydrologic Simulation Program (HSPF) FORTRAN model, into one package. BASINS CAT extends the existing capabilities of BASINS to facilitate watershed-based assessments of the potential implications of climate variability and change on water and watershed systems using the HSPF model.
BASINS CAT provides flexible capabilities for creating climate change scenarios allowing users to quickly assess a wide range of what if questions about how weather and climate could affect their systems. BASINS CAT does not provide climate change data for specific regions and watersheds. Combined with the existing capabilities of HSPF for assessing the effects of land-use change and management practices, BASINS CAT can be used to assess the coupled effects of climate and land-use change, and to guide the development of effective management responses.
- Community Multi-scale Air Quality Model (CMAQ)
CMAQ is an air quality model and software suite designed to model multiple pollutants at multiple scales. CMAQ allows regulatory agencies and state governments to evaluate the impact of air quality management decisions, and gives scientists the ability to probe, simulate, and understand chemical and physical interactions in the atmosphere.
- CMAQ Aerosol Module
CMAQ version 5.0 includes a complete redesign of the aerosol module eliminating unnecessary dependencies and duplications across modules.
- CMAQ for Air Toxics and Multipollutant Modeling
In the past, chemical mechanism and air quality development have focused on Criteria Air Pollutants (CAPs) such as ozone and primary inorganic particulate matter. CMAQ also has the capacity to predict concentration and deposition of many Hazardous Air Pollutants (HAPs) or air toxics.
- CMAQ Aerosol Module
- Geos-CHEM LIDORT Integrated with MARKAL for the Purpose of Scenario Exploration (GLIMPSE)
GLIMPSE is a tool to find US policy scenarios that simultaneously improve air quality human health, reduce impacts to ecosystems, and mitigate climate change. It is designed to be fast -- to allow decision-makers to explore a range of options, as well as comprehensive -- to avoid unintended consequences.
The HYGEIA model predicts the effects of climate change induced heat stress on cardiovascular morbidity and mortality. Using census block data the model assesses the vulnerability of various demographic groupings over time and space, and predicts morbidity and mortality under future climate conditions and under conditions that mitigate climate extremes. The model is currently undergoing further development to address the effects of airborne particulate matter on cardio-pulmonary functions and adverse outcomes.
- Water Erosion Prediction Project Climate Assessment Tool (WEPPCAT)
WEPPCAT provides a flexible capability for creating user-determined climate change scenarios for assessing the potential impacts of climate change on sediment loading to streams using the USDA’s Water Erosion Prediction Project (WEPP) Model. In combination with the existing capabilities of WEPP for assessing the effectiveness of management practices, WEPPCAT also can be used to evaluate the effectiveness of strategies for managing the impacts of climate change.
- Integrated Climate and Land use Scenarios (ICLUS)
Climate change and land-use change are global drivers of environmental change. Impact assessments frequently show that interactions between climate and land-use changes can create serious challenges for aquatic ecosystems, water quality, and air quality. Population projections to 2100 were used to model the distribution of new housing across the landscape. In addition, housing density was used to estimate changes in impervious surface cover. A final report, datasets, the ICLUS+ Web Viewer and ArcGIS tools are available.
- Regional Climate Downscaling
Global Climate Models (GCMs) are used to study Earth's climate system and to simulate how climate may change in the future. Regional Climate Models (RCMs) are used to simulate Earth's climate system at a higher spatial resolution over a limited area. To meet the growing need for regional climate projections to support impact assessments, EPA is developing regional climate modeling capabilities using the Weather Research and Forecasting (WRF) model to dynamically downscale GCM simulations.
- Remote Sensing Information Gateway (RSIG)
RSIG offers a new way for users to get the multi-terabyte, environmental datasets they want via an interactive, Web browser-based application. A file download and parsing process that now takes months will be reduced via RSIG to minutes.
- Greenhouse Gases Mitigation Options Database (GMOD)
GMOD is a decision support database and tool that is designed to evaluate mitigation options to support state and regional level activities and independent research. GMOD’s primary goal is to give the decision maker an option to generate realistic technology choices that are comparable for engineering and economic analyses. GMOD serves as a comprehensive information source on GHG control options for state agencies, and the tool provides decision makers with the capability to develop a host of alternative scenarios by constructing a conceptual-based source with suitable alternative control technologies.
- Freshwater Biological Traits Database
The Freshwater Biological Traits Database has data for nearly 4000 North American macroinvertebrate taxa, and includes habitat, life history, mobility, morphology and ecological trait data. The traits data were gathered from multiple sources, which are listed on the web site under, "Data Source". Data gathering efforts focused on data that were published or otherwise well-documented by trustworthy sources, accessible, appropriate for the regions being studied, in a standardized format that could be analyzed or easily converted to a format that could be analyzed, and ecologically relevant to the gradients being considered.