Science Inventory

SWMM-CAT User’s Guide (Version 1.1)

Citation:

Rossman, L., M. Simon, AND C. Barr. SWMM-CAT User’s Guide (Version 1.1). U.S. Environmental Protection Agency, Washington, DC, 2022.

Impact/Purpose:

SWMM-CAT Version 1.1.0.0 is an update from Version 1.0.0.0. It is a utility that adds location-specific climate change adjustments to a Storm Water Management Model (SWMM) project file. Adjustments can be applied on a monthly basis to air temperature, evaporation rates, and precipitation, as well as to the 24-hour design storm at different recurrence intervals. The source of these adjustments are global climate change models run as part of the World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 5 (CMIP5) archive. Downscaled results from this archive were generated and converted into changes with respect to historical values by USEPA's CREAT 3.1 project.

Description:

The Storm Water Management Model Climate Adjustment Tool (SWMM-CAT) is a simple to use software utility that allows future climate change projections to be incorporated into the Storm Water Management Model (SWMM). SWMM can accept a set of monthly adjustment factors for each input meteorological time series to represent future changes in climatic conditions. SWMM-CAT provides a set of location-specific adjustments that were derived from global climate change models run as part of the World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 5 (CMIP5) archive.  In SWMM-CAT Version 1.1 climate change projections are obtained from EPA’s Climate Resilience Evaluation and Awareness Tool Version 3.1; historical data for 24-Hour design storms are based on CREAT 3.1; evaporation values are determined by the Hargreaves method, using historical temperature data from PRISM observations and GLDAS if PRISM data are unavailable.

Record Details:

Record Type:DOCUMENT( DATA/SOFTWARE/ DOWNLOADABLE APPLICATION)
Product Published Date:07/15/2022
Record Last Revised:10/04/2022
OMB Category:Other
Record ID: 355796