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Data

The Upper Midwest Water Science Center collects, analyzes, and distributes data on a variety of water-related issues and resources. Much of our data is publicly available through the USGS National Water Information System (NWIS):

Surface water:  MI • MN • WI
Groundwater:  MI • MN • WI
Water quality:  MI • MN • WI

Water use:  MI • MN • WI

NWIS site inventory:  MI • MN • WI

Filter Total Items: 101

SPARROW model simulated nutrient loads in streams of the Midcontinental Region of Canada and the United States, 2002 Base Year

The U.S. Geological Survey's (USGS) SPAtially Referenced Regression On Watershed attributes (SPARROW) model was developed to aid in the interpretation of monitoring data and simulate water-quality conditions in streams across the Midcontinental Region of Canada and the Unites States. SPARROW is a hybrid empirical⁄process-based mass balance model that can be used to estimate the major sources

Data used to evaluate the effects of field-level management practices on edge-of-field phosphorus loading in Minnesota and Wisconsin, 2004-17

This dataset is a compilation of 125 site years of data collected between 2004-2017 from 26 agricultural fields (2-17 ha) in Minnesota and Wisconsin, representing 13 environmental and seven management factors. Each field was continually monitored for snowmelt and storm event surface runoff volume and phosphorus (P) concentrations. Event data were compiled to calculate both P loads and flow-weighte

Phytoplankton enumeration and identification from a recurring algal bloom location in Sullivan Bay, Kabetogama Lake, northern Minnesota, 2016

This data release provides phytoplankton identification, phytoplankton enumeration, chlorophyll concentration, phaeophytin concentration, phycocyanin data, and nutrient quality assurance data from three recurring algal bloom sites in Kabetogama Lake, Voyaguers National Park, Minnesota in 2016 and 2017. The goal of this research is to better understand the drivers of algal bloom toxicity in the lar

A Soil-Water-Balance model and precipitation data used for HEC/HMS modelling at the Glacial Ridge National Wildlife Refuge area, northwestern Minnesota, 2002-15.

A soil-water balance model (SWB) was developed to estimate evapotranspiration in six ditch basins of the Glacial Ridge National Wildlife Refuge area, northwestern Minnesota, during 2002-2015. The model was used to estimate evapotranspiration in water balances in six ditch basins as part of the associated report, U.S. Geological Survey Scientific Investigations Report 2019-5041 (http://dx.doi.org/1

Factors Affecting Spatial and Temporal Variations of Annual Summer Median Water Yields in Southwestern Michigan

Median summer water yields and resultant flows are used in Michigan to regulate large water withdrawals to help prevent negative effects on characteristic fish populations. Large water withdrawals commonly are associated with irrigation in rural areas. In an earlier statewide report, an index-flow statistic for the period of record, defined as the median flow during the summer month of lowest flow

Geospatial data for a Flood-Inundation Mapping Study of the Huron River near Hamburg, Michigan

The development and the generation of the dataset that is published through this data release, is based on the results and findings of the report mentioned here: Prokopec, J.G., 2018, Hydraulic modeling and flood-inundation mapping for the Huron River and Ore Lake Tributary, Livingston County, Michigan: U.S. Geological Survey Scientific Investigations Report 2018-5048, https://doi.org/10.3133/sir2

Storm characteristics, concentrations, and loads measured at the Coanda-effect treatment vault, Madison, Wisconsin (2016-17)

This dataset characterizes water quality and quantity data from 33 storm events at the influent and effluent of a stormwater treatment vault modified with a Coanda-effect screen in Madison, Wisconsin (2016-17). Event dates, event duration, precipitation depth, 15-minute intensity, 30-minute intensity, 60-minute intensity, event volume, and peak discharge are shown with corresponding influent and e

GFLOW groundwater flow model for the Park Falls Unit of the Chequamegon-Nicolet National Forest, Wisconsin

A GFLOW model was constructed of the Park Falls Unit as part of a larger study of the Chequamegon-Nicolet National Forest. The model supports the goals of the project by providing improved characterization of the groundwater/surface-water system and a tool to evaluate the sensitivity of hydrologic flows and temperature to future climate and land use changes. The purpose of this model and the bigge

Data and Scripts for Metamodeling for Groundwater Age Forecasting in the Lake Michigan Basin

Groundwater age is an important indicator of groundwater susceptibility to anthropogenic contamination and a key input to statistical models for forecasting water quality. Numerical models can provide estimates of groundwater age, enabling interpretation of measured age tracers. However, to extend to national-scale groundwater systems where numerical models are not routinely available, a more effi

USGS Surface-Water Data for the Nation

Real-time, daily, peak-flow, field measurements, and statistics of current and historical data that describe stream levels, streamflow (discharge), reservoir and lake levels, surface-water quality, and rainfall across the U.S. Surface-water data are collected and stored as either discrete field-water-level measurements or as continuous time-series data from automated recorders.

USGS Groundwater Data for the Nation

Data from wells, springs, test holes, tunnels, drains, and excavations across the U.S.; well location data includes information such as latitude and longitude, well depth, and aquifer. Groundwater level data are collected and stored as either discrete field-water-level measurements or as continuous time-series data from automated recorders.

USGS Water-Quality Data for the Nation

Chemical, physical, and biological properties of water, sediment, and tissue samples from across the U.S. Water-quality data are collected as either discrete field measurements or as continuous time-series data from automated recorders that continuously record physical and chemical characteristics including pH, specific conductance, temperature, and dissolved oxygen.