Skip to main content

Person

Tessa M Harden

Hydrologist

Oregon Water Science Center

Email: tharden@usgs.gov
Office Phone: 971-500-0059
ORCID: 0000-0001-9854-1347

Location
Moda Tower
601 SW 2nd Ave
Ste 1950
Portland , OR 97204
US

Supervisor: Justin K Reale
This data release contains the results from a comprehensive field study that applied paleoflood hydrology methods to estimate the frequency of low-probability floods for the Tennessee River near Chattanooga, Tennessee. The study combined stratigraphic records of large, previously unrecorded floods with modern systematic flood records and historical flood accounts.
thumbnail
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...
thumbnail
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...
thumbnail
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...
This child page contains ancillary information that is referenced in the report but not included in the core files that are used by all regions. Relations between the peaks and precipitation and temperature was evaluated by Mann-Kendall (KM) correlation. Precipitation and temperature values were obtained for climate divisions of the gages from the National Climate Data Center. Correlation was done between peaks and the annual sum of precipitation, the October through March (ONDJFM) sum of precipitation, and the April through September (AMJJAS) sum of precipitation. Correlation was also done betwen peaks and the annual mean of temperature, the ONDJFM mean of temperature, and the AMJJAS mean of temperature. Files...
Categories: Data
ScienceBase brings together the best information it can find about USGS researchers and offices to show connections to publications, projects, and data. We are still working to improve this process and information is by no means complete. If you don't see everything you know is associated with you, a colleague, or your office, please be patient while we work to connect the dots. Feel free to contact sciencebase@usgs.gov.