Flow and rainfall data collected at the Shayler Crossing (SHC) stream monitoring station at 10 minute intervals over a two month period in 2009. This dataset is associated with the following publication: Lee, J., C. Nietch, and S. Panguluri. Drainage Area Characterization for Evaluating Green Infrastructure using the Storm Water Management Model. HYDROLOGY AND EARTH SYSTEM SCIENCES. EGS, 22: 2615-2635, (2018).

Data are estimated stormwater values based on curve numbers (CN) values are based on hydrologic soil groups (A, B, C, and D) and four land cover types in the study area, such as, grassland, forest land, impervious area, and other open space. We apply SMPSS-TRAC to a watershed located in Hamilton County, Ohio, USA and develop five scenarios representing increasing use of GI. We test the scenarios under a 5-year rainfall intensity and set a cap of runoff for each scenario at a level that is equal to the runoff from an undeveloped status (1.03-inch runoff depth for the watershed). With the proposed SMPSS-TRAC, the watershed authority could encourage all parcel owners to install suitable GI or purchase credits from the market. This dataset is associated with the following publication: Fu, X., M. Hopton, X. Wang, H. Goddard, and H. Liu. A runoff trading system to meet watershed-level stormwater reduction goals with parcel-level green infrastructure installation. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 689: 1149-1159, (2019).

Data are estimated stormwater values based on curve numbers (CN) values are based on hydrologic soil groups (A, B, C, and D) and four land cover types in the study area, such as, grassland, forest land, impervious area, and other open space. We apply SMPSS-TRAC to a watershed located in Hamilton County, Ohio, USA and develop five scenarios representing increasing use of GI. We test the scenarios under a 5-year rainfall intensity and set a cap of runoff for each scenario at a level that is equal to the runoff from an undeveloped status (1.03-inch runoff depth for the watershed). With the proposed SMPSS-TRAC, the watershed authority could encourage all parcel owners to install suitable GI or purchase credits from the market. This dataset is associated with the following publication: Fu, X., M. Hopton, X. Wang, H. Goddard, and H. Liu. A runoff trading system to meet watershed-level stormwater reduction goals with parcel-level green infrastructure installation. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 689: 1149-1159, (2019).

This dataset describes streamflow and precipitation event statistics for four watersheds located in Clarksburg, Maryland, USA. Streamflow and precipitation events were identified from fourteen years of sub-daily (5- and 15-minute) monitoring data spanning October 1, 2004 through September 30, 2018. A 6-hour inter-event window was used to define discrete streamflow and precipitation events. The following streamflow metrics were calculated for each event area normalized peak streamflow, runoff yield, runoff ratio, streamflow duration, time to peak, and rise rate. Precipitation event metrics include total precipitation depth and precipitation event duration.

This dataset describes streamflow and precipitation event statistics for four watersheds located in Clarksburg, Maryland, USA. Streamflow and precipitation events were identified from fourteen years of sub-daily (5- and 15-minute) monitoring data spanning October 1, 2004 through September 30, 2018. A 6-hour inter-event window was used to define discrete streamflow and precipitation events. The following streamflow metrics were calculated for each event area normalized peak streamflow, runoff yield, runoff ratio, streamflow duration, time to peak, and rise rate. Precipitation event metrics include total precipitation depth and precipitation event duration.

Cycle average and aggregation of river reach pass data within predefined hydrological basins. Basin for each cycle. Available in Shapefile file format.

This dataset includes hydrologic fluxes (evapotranspiration estimates, groundwater levels, wastewater fluxes), soil profile taxonomy (texture, horizons, etc.), and near-surface hydraulics (infiltration, drainage rates). This dataset is associated with the following publication: Hoard, C., R. Haefner, W. Shuster, R. Pieschek, and S. Beeler. Full Water-Cycle Monitoring in an Urban Catchment Reveals Unexpected Water Transfers (Detroit MI, USA). JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION. American Water Resources Association, Middleburg, VA, USA, 56(1): 82-99, (2020).

This dataset includes hydrologic fluxes (evapotranspiration estimates, groundwater levels, wastewater fluxes), soil profile taxonomy (texture, horizons, etc.), and near-surface hydraulics (infiltration, drainage rates). This dataset is associated with the following publication: Hoard, C., R. Haefner, W. Shuster, R. Pieschek, and S. Beeler. Full Water-Cycle Monitoring in an Urban Catchment Reveals Unexpected Water Transfers (Detroit MI, USA). JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION. American Water Resources Association, Middleburg, VA, USA, 56(1): 82-99, (2020).

The supplemental data presented here contain a macro-driven Microsoft Excel workbook (Office 365 format) that was developed to simultaneously balance streamflow with precipitation distributions in the Harney Basin for streamgaged and ungaged upland watersheds and other upland areas. The workbook allows for as many as five precipitation ranges to be manually specified. Precipitation for the area within each range is summed by watershed or ungaged area and multiplied by a fitted coefficient to estimate precipitation-derived streamflow.

The supplemental data presented here contain a macro-driven Microsoft Excel workbook (Office 365 format) that was developed to simultaneously balance streamflow with precipitation distributions in the Harney Basin for streamgaged and ungaged upland watersheds and other upland areas. The workbook allows for as many as five precipitation ranges to be manually specified. Precipitation for the area within each range is summed by watershed or ungaged area and multiplied by a fitted coefficient to estimate precipitation-derived streamflow.