Filters: Types: OGC WMS Layer (X) > partyWithName: Jesse E Dickinson (X)
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Southwest (SW) Region. The U.S. Geological Survey Dakota Water Science Center, in cooperation with the Federal Highway Administration, is analyzing annual peak-flow data to determine if trends are present and provide attribution of trends where possible. This dataset contains comma separated value (csv) files to support the attribution of changes in peak streamflow in the southwestern U.S. to changes in precipitation, temperature, and timing of peak runoff. The peak streamflow is the maximum instantaneous flow during a water year from October 1st to September 30th of the next year. The dataset contains results for only the streamgages that were identified to have significant trends and change points for periods...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Arizona,
California,
Colorado,
Datasets,
Flooding,
This text file (Reference_List_V1.txt) lists references that describe relevant characteristics for reservoir thermal energy storage (RTES) research in the United States. References are grouped by corresponding city, including: Albuquerque, New Mexico; Charleston, South Carolina; Chicago, Illinois; Decatur, Illinois; Lansing, Michigan; Memphis, Tennessee; Phoenix, Arizona; and Portland, Oregon. The document includes hyphenated lines and headers to distinguish city-specific subsections. Internet links are provided for each reference in the event that the reference was accessible online (as of January 28, 2021).
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Albuquerque,
Arizona,
Charleston,
Chicago,
Decatur,
The U.S. Geological Survey Dakota Water Science Center, in cooperation with the Federal Highway Administration, analyzed annual peak-flow data to determine if trends are present and provide attribution of trends where possible. Work for the national trend attributions for nonstationary annual peak-flow records was broken into seven regions that are loosely based off of two-digit hydrologic unit watershed boundaries. Each of the regions made attributions for nonstationary annual peak-flow records using both monotonic trends and change point for 50 (1966-2015) and 75 (1941-2015) year trends. Each child page contains four supporting comma separated values (csv) files (50-year monotonic, 75-year monotonic, 50-year change...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Datasets,
Flooding,
Hydrology,
Peak-flow,
Trends,
This dataset contains annual peak and seasonal maximum streamflow data from the USGS National Water Information System (NWIS) and the results of an analysis of spatial and temporal patterns for those data for the conterminous U.S. An interpretation of the analysis of these data will be published in a journal article. The streamflow data were compiled for the years 1966 to 2015 for 415 streamgages that are part of the USGS HCDN-2009 network. The HCDN-2009 network contains streamgages in watersheds with minimal anthropogenic change. The dataset contains the annual peak and the maximum daily streamflow for the months of October through December (OND), January through March (JFM), April through June (AMJ), and July...
Changing climate conditions have been identified as a major threat to the sustainability and availability of water resources in the Southwestern U.S. Long-term decreases in precipitation can lead to reductions in regional groundwater levels and loss of groundwater storage in aquifers for some communities. Reduced precipitation can also lead to lower water levels in streams and losses in the vegetation that grows alongside riverbanks. The goal of this project was to identify how hydrologic systems in the Southwest might respond to changes in climate and the degree to which this response is dependent on the characteristics of the hydrologic system. To do this, researchers developed a tool that simulates how quickly...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2012,
AZ,
CASC,
Completed,
Desert,
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