Wisconsin Water Science Center
In Wisconsin, we have two primary sources of water: surface waters (rivers and lakes, including the Great Lakes) and groundwater aquifers. Both sources provide for a variety of uses, including residential, business, industry, agriculture, energy production, mining, and recreation. The Wisconsin Water Science Center collects basic hydrological data and conducts studies to understand how much water is currently available, how surface water and groundwater interact and effect availability, the rate at which we are using our water resources, and to forecast how much water will be available in the future.
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Water-use information is essential for managing Wisconsin's valuable water resources. This critical information includes knowing how much, where, and for what purpose water is being used. The USGS works in cooperation with local, state, and federal environmental agencies to collect water-use information, and compiles and disseminates aggregated data at the county, state, and national level....
Streamflow data are needed at many sites on a daily basis for forecasting flow conditions and flooding, water-management decisions, assessing water availability, managing water quality, and meeting legal requirements. The USGS has been measuring streamflow in Wisconsin since 1906 with nearly 1,000 active and discontinued gages.
Groundwater is an important water resource for Wisconsin. The USGS collects information on the quality and quantity of Wisconsin's groundwater and conducts advanced modeling of groundwater flow and groundwater/surface-water systems. The USGS also evaluates the effects of water-use, land-use, and climate change on groundwater, surface-water, and the ecosystems that rely on them.
Studying lakes provides an improved understanding of lake ecosystem dynamics and valuable information that helps lead to sound lake-management policies. The USGS collects hydrologic data in lake settings, studies water and nutrient budget development, conducts source-loading analysis, explores groundwater interactions, and performs lake water-quality modeling.
The TC Chamberlin Modeling Center provides one-stop access to advanced computing so no project is limited by a lack of computer power. The Center can provide hardware access, assistance with migration and implementation, and training. We also develop, test, and disseminate state-of-the-art computational and analytical techniques and tools so models can be more effectively used in decision-...
USGS initiated the Water, Energy, and Biogeochemical Budgets (WEBB) program to understand the processes controlling water, energy, and biogeochemical fluxes over a range of temporal and spatial scales, and the effects of atmospheric and climatic variables. Trout Lake is one of five small, geographically and ecologically diverse watersheds representing a range of hydrologic and climatic...
This project addresses questions that affect the management of groundwater in the Great Lakes basin, such as the behavior of and control by groundwater divides, the seepage and discharge of natural groundwater flows, and the effects of groundwater pumping on discharge and recharge. A case study that examines groundwater flow in and adjacent to Lake Michigan in southeastern Wisconsin is...
The Soil-Water-Balance (SWB) model has been developed to allow estimates of potential recharge to be made quickly and easily. The code calculates components of the water balance at a daily time-step by means of a modified version of the Thornthwaite-Mather soil-moisture-balance approach.
The PEST++ software suite is object-oriented universal computer code written in C++ that expands on and extends the algorithms included in PEST, a widely used parameter estimation code written in Fortran. PEST++ is designed to lower the barriers of entry for users and developers while providing efficient algorithms that can accommodate large, highly parameterized problems.
PESTCommander is an object-oriented Graphical User Interface (GUI) written in Python® that facilitates the management of model files ("file management") and remote launching and termination of slave computers across a distributed network of computers ("run management").