ABSTRACT:

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.

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:

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. 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:

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.

ABSTRACT:

Testing