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Testing

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This is the solution associated with the GMS East Texas Tutorial (MODFLOW Conceptual Model Approach - Part 2). It is georeferenced and includes a complete set of supplementary files such that it can be unzipped and immediately opened inside GMS.

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Since 2002, NASA’s GRACE Satellite mission has allowed scientists of various disciplines to analyze and map the changes in Earth’s total water storage on a global scale. Although the raw data is available to the public, the process of viewing, manipulating, and analyzing the GRACE data can be tedious and difficult for those without strong technological backgrounds in programming or other related fields. The GRACE web app helps bridge the technical gap for decision makers by providing a user interface to visualize (in both map and time series format), not only the data collected from the GRACE mission, but the individual components of water storage as well. Using the GLDAS Land Surface model, the application allows the user to isolate and identify the changes in surface water and groundwater storage that makeup the total water storage quantities measured by the raw GRACE data. The application also includes the capability to upload a custom shapefile in order to perform a regional analysis of these changes allowing decision makers to aggregate and analyze the change in groundwater, surface water, and total water storage within their own personal regions of interest.

ABSTRACT:

Since 2002, NASA’s GRACE Satellite mission has allowed scientists of various disciplines to analyze and map the changes in Earth’s total water storage on a global scale. Although the raw data is available to the public, the process of viewing, manipulating, and analyzing the GRACE data can be tedious and difficult for those without strong technological backgrounds in programming or other related fields. Furthermore, simply knowing the changes in total water storage in a particular region typically isn’t enough to plan remediation efforts as there is no indication of whether the changes in storage are occurring in the groundwater, surface water, or soil moisture (groundwater being particularly difficult to estimate). The GRACE web-based application helps bridge the technical gap for decision makers by providing a user interface to visualize, not only the data collected from the GRACE mission, but the individual water storage components as well. Using the GLDAS Noah Land Surface Model, the application allows the user to isolate and identify the changes in surface water, soil moisture, and groundwater storage that makeup the total water storage quantities measured in the raw GRACE data. Analysis of these changes can also be performed on a regional or continental scale allowing users to aggregate and analyze the change in groundwater, soil moisture, surface water, and total water storage within their own personal regions of interest. The GRACE application also allows the user to view and compare different signal processing solutions for the total water storage data. In this way, the GRACE application offers scientists, engineers and decision makers a common starting point in their environmental modeling efforts and exposes the potential applications for a large-scale groundwater model. The GRACE application can be accessed here:

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This resource includes three hydrographic geospatial datasets for 13 world regions including: Rivers, Watersheds, and Basin area. These datasets were developed at Brigham Young University by using standard terrain analysis tool in ArcGIS to extract features from digital elevation model data provided by Esri. The datasets were created for the purpose of supporting GEOGLOWS (http://www.geoglows.org) forecasting using ECMWF (https://www.ecmwf.int) ensemble weather/hydrologic model and the RAPID river routing model (http://rapid-hub.org). These datasets are provided free of charge for use for any purpose. If you use these data, please reference this HydroShare resource using the information provided in "How to Cite" at the bottom of this HydroShare landing page.

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Groundwater is becoming increasingly more important in the Pacific Northwest of the USA due to declining snowpack volumes and shifts in both precipitation type and timing that is connect-ed to climate change. The Upper Williamson Basin, of the Klamath Watershed, is a groundwater dominated watershed that has seen massive fluctuations in year-to-year streamflow volumes over the past four decades, including the complete absence of any live flow for several years. The precise relationship between groundwater and streamflow in the basin has been difficult to assess due to a limited number of monitoring wells and significant gaps in the water level time history. To address this challenge, we use a novel imputation technique that leverages Earth observations and machine learning to impute gaps in water level records and we use these more complete datasets to develop a groundwater storage change time series for the basin. We show that overall groundwater storage is highly correlated to streamflow and that groundwater storage is correlated to rainfall with a three-year delay. These tools and relationships make it possible for water managers to estimate when streamflows will return to the basin.

In this data archive, we provide a copy of the monitoring well data used in the study including the names and locations of the wells and the corresponding historical groundwater levels measured at the wells. We also provide a copy of the basin boundary.

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This repository contains CSV files of selected gauges, evenly distributed across different geological sections according to USGS divisions. Each data point has been manually labeled to indicate whether baseflow is the only source of the streamflow.