Input data, executable computer program, output data, and metadata of a Soil-Water-Balance (SWB) model for the Glacial Ridge National Wildlife area, northwestern Minnesota during the years 2002 through 2015. Also included is a data set of selected hourly precipitation totals for six ditch basins used in HEC/HMS ditch-flow modelling in the the Glacial Ridge National Wildlife area, 2004–2006 and 2013–2015 described in the associated report. 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/10.3133/SIR20195041). This SWB model was derived from the statewide Minnesota SWB potential recharge model, described, calibrated, and documented as part of U.S. Geological Survey Scientific Investigations Report 2015-5038 (http://dx.doi.org/10.3133/sir20155038). The data sets and calibrations from the Minnesota statewide model were used without modification except for the more detailed precipitation, water capacity, and land use input data. In this model, precipitation data were interpolated from local raingages. Water capacity data were taken from the gSSURGO soils data base. Land-use data were compiled from three sources using the most detailed data: the National Land Cover Database, the Cropland Data Layer and data from the local Natural Resources Conservation Service office. Details of the procedures used to produce these three detailed data sets can be found in U.S. Geological Survey Scientific Investigations Report 2019-5041 (http://dx.doi.org/10.3133/SIR20195041). This model was not recalibrated. All calibrated parameters remain the same as those in the statewide Minnesota SWB model. The areal resolution of this model was increased to a 60-meter square grid and the temporal period was extended through 2015 relative to the statewide SWB model. Daymet (version 2) daily surface temperature data necessary to run this SWB model are available upon request through the following link: https://doi.org/10.3334/ORNLDAAC/1219.

A combined soil water balance, groundwater flow and stream temperature model was developed to simulate stream temperature under historical and future conditions. Soil-Water-Balance code was used to estimate net infiltration past the root zone and surface runoff, which were applied to a transient, three-dimensional MODFLOW 6 model to simulate the water budget for Beaver Creek and the contributing groundwater flow system at a 7-day time resolution. Instream temperatures were simulated using a Stream Network TEMPerature (SNTEMP) model based on the Streamflow Routing (SFR) Package network and simulated groundwater discharge and surface runoff from the MODFLOW model. Model parameter estimation was performed via history matching of groundwater levels, instream flows and stream temperatures for 2019–2023. Future climate scenarios were developed using an initial spin up 2019-2023 period and then downscaled data from the Scenarios Network for Alaska and Arctic Planning (SNAP) for 2023-2050 This data release is split into 6 child items so that a user can choose which portions of the model archive to download to avoid downloading large model files that are unnecessary for a particular use. An overview of the contents of each child item and complete instructions for downloading the model input and output files, running the model, and running the python scripts used to build and update the model are provided in the parent_beaver_creek_readme.md file at the main level of this data release and the readme.md files provided with each data release child item.

A combined soil water balance, groundwater flow and stream temperature model was developed to simulate stream temperature under historical and future conditions. Soil-Water-Balance code was used to estimate net infiltration past the root zone and surface runoff, which were applied to a transient, three-dimensional MODFLOW 6 model to simulate the water budget for Beaver Creek and the contributing groundwater flow system at a 7-day time resolution. Instream temperatures were simulated using a Stream Network TEMPerature (SNTEMP) model based on the Streamflow Routing (SFR) Package network and simulated groundwater discharge and surface runoff from the MODFLOW model. Model parameter estimation was performed via history matching of groundwater levels, instream flows and stream temperatures for 2019–2023. Future climate scenarios were developed using an initial spin up 2019-2023 period and then downscaled data from the Scenarios Network for Alaska and Arctic Planning (SNAP) for 2023-2050 This data release is split into 6 child items so that a user can choose which portions of the model archive to download to avoid downloading large model files that are unnecessary for a particular use. An overview of the contents of each child item and complete instructions for downloading the model input and output files, running the model, and running the python scripts used to build and update the model are provided in the parent_beaver_creek_readme.md file at the main level of this data release and the readme.md files provided with each data release child item.

Lake and landscape data were compiled from the US Environmental Protection Agency National Lakes Assessment 2007 and 2012 surveys and LakeCat geospatial dataset. Additional climate variables were summarized from national PRISM and NOAA data layers following the same geoprocessing steps used in the LakeCat creation. The compiled dataset includes a derived metric that characterizes the degree of human-related water management presence on a lake that has the potential to significantly alter lake hydrology. The HydrAP metric (anthropogenic hydrological-alteration potential) uses information from the National Inventory of Dams and National Land Cover Database and is described in detail in Fergus et al. 2021. The compiled dataset includes all lake sites in the NLA 2007 survey and only new lake sites in NLA 2012 (i.e., not resampled lake sites during the two survey periods). We retained VISIT_NO = 1 observations for the analyses for a total of 1716 observations for unique lake sites distributed across the conterminous US.

Lake and landscape data were compiled from the US Environmental Protection Agency National Lakes Assessment 2007 and 2012 surveys and LakeCat geospatial dataset. Additional climate variables were summarized from national PRISM and NOAA data layers following the same geoprocessing steps used in the LakeCat creation. The compiled dataset includes a derived metric that characterizes the degree of human-related water management presence on a lake that has the potential to significantly alter lake hydrology. The HydrAP metric (anthropogenic hydrological-alteration potential) uses information from the National Inventory of Dams and National Land Cover Database and is described in detail in Fergus et al. 2021. The compiled dataset includes all lake sites in the NLA 2007 survey and only new lake sites in NLA 2012 (i.e., not resampled lake sites during the two survey periods). We retained VISIT_NO = 1 observations for the analyses for a total of 1716 observations for unique lake sites distributed across the conterminous US.

This data release presents data that were collected as part of a larger effort to refine knowledge pertaining to the origin, composition, and seasonality of dissolved organic matter in lakes. This work was part of an international collaborative effort with the Global Lake Ecological Observatory Network (GLEON). Water samples were collected monthly during 2021 and shipped to GLEON for determination of dissolved organic matter. In conjunction with each monthly sample event, several water-quality variables and ice thickness were measured. Data from this collaborative study will be used to understand how the origin and composition of dissolved organic matter varies through time.

This data release presents data that were collected as part of a larger effort to refine knowledge pertaining to the origin, composition, and seasonality of dissolved organic matter in lakes. This work was part of an international collaborative effort with the Global Lake Ecological Observatory Network (GLEON). Water samples were collected monthly during 2021 and shipped to GLEON for determination of dissolved organic matter. In conjunction with each monthly sample event, several water-quality variables and ice thickness were measured. Data from this collaborative study will be used to understand how the origin and composition of dissolved organic matter varies through time.

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.

This model archive makes available the calibrated Soil-Water-Balance (SWB) model used to simulate upland recharge from infiltration of precipitation and snowmelt in the Harney Basin, Oregon, 1982-2016. The model was calibrated using annual values of runoff, evapotranspiration, and baseflow for eight watersheds in the basin. The Harney Basin SWB model was used to create output at the scale of 1-kilometer grid cells. The simulations were used to create daily grids of potential recharge. The calibrated SWB model and its use is described in the associated U.S. Geological Survey Scientific Investigations Report 2021–5128 (Garcia and others, 2022). The directory structure of the model archive contains all the files needed to document and run the model. The directories in the archive are presented each as a separate .zip file and include an "ancillary" directory, a "bin" directory, a "georef" directory, a "model directory, an "output" directory, and a "source" directory. There is a README file describing all the files and directories in the archive and information on how to run the model. Each primary folder also contains a README file describing the contents.