Nevada Water Resources Data, Modeling, and Visualization (DMV) Phase II

Affiliation(s)PIProject periodFunded by
DHS Jackman, Thomas M 09/15/2010 - 09/14/2012 Department of Energy

Project Description

This project is the second phase of a proposed multi-phase program to create a statewide center to house and use all available relevant data needed to better understand the current and potential future distribution of water resources within the State of Nevada. In the first phase of the program, the primary focus was to create the infrastructure at the Desert Research Institute (DRI) to store and make available to the public, through a digital data library with web access, large sets of existing water resource information, at various spatial and temporal scales (e.g., streamflow observations, groundwater observations, soil moisture, evapotranspiration, temperature, precipitation, snow properties, etc.), from a wide variety of sources (e.g., ground observations, remote-sensing products, modeling studies, etc.) throughout Nevada. The areal extent of the first phase was limited to two study sites in northern Nevada that have significant water resource information and existing water resource modeling efforts readily available, as well as, active stakeholder and agency partnerships focused on important water resource issues. In the second phase of this program (this proposal) the Colorado River system will be added to the digital data library created in Phase I. The Colorado River system is the primary source of water in southern Nevada and understanding the current and future distribution of water resources available in the system is vital to a wide range of government agencies, stakeholders, and the general public in Nevada. Phase II of this project will also include the use of the DRI Virtual Environment 6-Sided (DRIVE6) facility, operated by the Center for Advanced Visualization, Computation and Modeling (CAVCaM), in Reno, NV, for visualization of past, present, and future water resources scenarios (alternative futures) in all three study areas thereby creating a powerful linkage among data, computing, and public outreach.