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Filters: partyWithName: Janet R Barclay (X) > Categories: Data (X)

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We used spatial data from previously mapped preferential groundwater discharges throughout the Farmington River watershed in Connecticut and Massachusetts (https://doi.org/10.5066/P915E8JY) to guide water sample collection at known locations of groundwater discharging to surface water. In 2017 and 2019 - 2021, samples were collected during general river baseflow conditions (July – November, <30.9 cms mean daily discharge (USGS gage 01189995, statistics 2010-2022) when the riverbank discharge points were exposed. We collected a suite of dissolved constituents and stable isotopes of water directly in the shallow saturated sediments of active points of discharge, and coincident stream chemical samples were also collected...
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During the spring and summer of 2022, the U.S. Geological Survey collected water-quality samples for nutrient analysis at 45 stations across the state of Connecticut and adjacent areas of New York and Rhode Island to better understand the groundwater discharge component of nitrogen loading to the Long Island Sound. The targeted stations were located in small drainage basins (less than 50 square kilometers) in the southern portion of the Long Island Sound watershed. Sites were selected randomly from groups based on expected drivers or controls on baseflow nitrogen loads. Factors used in the grouping included four metrics calculated for the upstream watershed: percent impervious cover, septic system density, percent...
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Areas of groundwater discharge are hydrologically and ecologically important, and yet are difficult to predict at the river network scale. Thermal infrared imagery can be used to identify areas of groundwater discharge based on an observed temperature anomaly (colder during the late summer or warmer during the late winter). The thermal images, direct temperature measurements (11 cm depth) and discharge zone (seep) location information in this data release were collected as part of a study to evaluate and improve predicted spatial patterns of groundwater discharge. The data were collected during the late summer / early fall of 2017 along selected river reaches in the Farmington River watershed (Connecticut and Massachusetts)....
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This data release and model archive provides all data, code, and modelling results used in Topp et al. (2023) to examine the influence of deep learning architecture on generalizability when predicting stream temperature in the Delaware River Basin (DRB). Briefly, we modeled stream temperature in the DRB using two spatially and temporally aware process guided deep learning models (a recurrent graph convolution network - RGCN, and a temporal convolution graph model - Graph WaveNet). The associated manuscript explores how the architectural differences between the two models influence how they learn spatial and temporal relationships, and how those learned relationships influence a model's ability to accurately predict...
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This model archive provides all data, code, and modeling results used in Barclay and others (2023) to assess the ability of process-guided deep learning stream temperature models to accurately incorporate groundwater-discharge processes. We assessed the performance of an existing process-guided deep learning stream temperature model of the Delaware River Basin (USA) and explored four approaches for improving groundwater process representation: 1) a custom loss function that leverages the unique patterns of air and water temperature coupling resulting from different temperature drivers, 2) inclusion of additional groundwater-relevant catchment attributes, 3) incorporation of additional process model outputs, and...
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A method to estimate the probable high groundwater level in Massachusetts, excluding Cape Cod and the Islands was developed in 1981. The method, commonly called the “Frimpter Method,” uses a groundwater measurement from a test site, groundwater measurements from an index well, and a distribution of high groundwater levels from wells in similar geologic and topographic settings. Historic groundwater-level statistics (maximum and 90th percentile groundwater level and annual groundwater-level range) were calculated for 153 wells in Massachusetts and nearby States to update the method inputs. In addition, as part of a comparison of approaches to determine the best index well for a given site, a multiple linear regression...
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Groundwater and estuary water levels near Mill Creek, and the Herring River in Wellfleet Massachusetts were measured from June 2017 to June 14, 2018. Water-level data have been filtered to remove the effects of the daily tides. The mean daily value of the tidally filtered 15 minute water-level data is presented. The data also include a composite data set of daily precipitation values, as well as data on the growing degrees days (50 degrees Fahrenheit), from two weather stations on Cape Cod, Massachusetts.
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A steady-state groundwater flow model was developed for watersheds on the north shore of Long Island Sound in coastal Connecticut and adjacent areas of New York and Rhode Island. As part of the analysis, groundwater travel times and the components of the groundwater budget were calculated for each HUC12 basin within the model domain and for the watersheds of selected embayments identified by the Connecticut Department of Energy and Environmental Protection. The seaward boundaries of the HUC12 basins were extended to include adjacent coastal waters. This compilation includes shapefiles of the HUC12 basins and of the watersheds of selected embayments. Shapefiles of the selected embayments without the corresponding...


    map background search result map search result map Data on Tidally Filtered Groundwater and Estuary Water Levels, and Climatological Data Near Mill Creek and the Herring River, Cape Cod, Wellfleet, Massachusetts, 2017-2018 Data on well characteristics and well-pair characteristics for estimating high groundwater levels in selected areas of Massachusetts Thermal infrared images and direct temperature measurements of groundwater discharge zones throughout the Farmington River watershed (Connecticut and Massachusetts) Summary simulated groundwater budgets and travel times for watersheds on the north shore of Long Island Sound Examining the influence of deep learning architecture on generalizability for predicting stream temperature in the Delaware River Basin Biogeochemical and source characteristics of preferential groundwater discharge in the Farmington River watershed (Connecticut and Massachusetts, 2017 - 2021) Model Code, Outputs, and Supporting Data for Approaches to Process-Guided Deep Learning for Groundwater-Influenced Stream Temperature Predictions Nitrogen Loads, Yields, and Associated Field Data Collected During Baseflow Conditions and Site Attributes for Small Basins Draining to Long Island Sound Thermal infrared images and direct temperature measurements of groundwater discharge zones throughout the Farmington River watershed (Connecticut and Massachusetts) Biogeochemical and source characteristics of preferential groundwater discharge in the Farmington River watershed (Connecticut and Massachusetts, 2017 - 2021) Nitrogen Loads, Yields, and Associated Field Data Collected During Baseflow Conditions and Site Attributes for Small Basins Draining to Long Island Sound Data on well characteristics and well-pair characteristics for estimating high groundwater levels in selected areas of Massachusetts Summary simulated groundwater budgets and travel times for watersheds on the north shore of Long Island Sound Examining the influence of deep learning architecture on generalizability for predicting stream temperature in the Delaware River Basin Model Code, Outputs, and Supporting Data for Approaches to Process-Guided Deep Learning for Groundwater-Influenced Stream Temperature Predictions