Streamflow drought indicators across conterminous United States

This dataset contains indicators for characterizing observed streamflow droughts in 603 stations through the major watershed regions of the conterminous U.S. The dataset is based on observed streamflow data from Hydro-Climatic Data Network 2009, developed by the U.S. Geological Survey. Due to multi-attributable aspect of this natural hazard, analyzing the various feature of droughts is necessary. This dataset is useful to help advance water resources decision-making and will allow researchers to identify trends as well as potential drivers (e.g., land use or climate) associated with streamflow droughts.

The dataset is organized in three different categories: low flow characteristics, deficit characteristics, and independent drought event characteristics for 603 stations through the major watershed regions of the conterminous US from 1900 to 2012. Low flow characteristics include minimum 1-day , 7-day, and 30-day mean flow as well as 50th, 75th, 90th and 95th percentiles from the flow duration curve, which examined over annual, Northern summer, Northern winter, and 12 calendar month time scales. Deficit characteristics are examined for the 1-day, 7-day and 30-day mean flow with 10 years return period, as well as 50th, 75th, 90th and 95th percentiles threshold levels over annual, Northern summer, Northern winter, and 12 calendar month time scales, and include cumulative streamflow deficit occurrence, cumulative streamflow deficit volume, minimum streamflow deficit volume, and deficit intensity. Independent drought event characteristics are examined over annual time scale and include number of droughts, first day of drought, drought duration, and drought deficit volume.

Data are available in two- and three-dimensional files over the conterminous U.S. for the periods 1900 to 2012.

To Access Resource:

Questions? Email Resource Support Contact:

  • Doug Schuster
    schuster@ucar.edu
    UCAR/NCAR - Research Data Archive

Temporal Range

  • Begin:  1900
    End:  2012

Keywords

Resource Type dataset
Temporal Range Begin 1900
Temporal Range End 2012
Temporal Resolution N/A
Bounding Box North Lat N/A
Bounding Box South Lat N/A
Bounding Box West Long N/A
Bounding Box East Long N/A
Spatial Representation N/A
Spatial Resolution N/A
Related Links

Related Resource #1 : Description of USGS Hydro-Climatic Data Network 2009 (HCDN–2009)

Related Resource #2 : Access to HCDN-2009 streamgage data

Related Resource #3 : GAGES: A stream gage database for evaluating natural and altered flow conditions in the conterminous United States.

Additional Information N/A
Resource Format Comma-separated Values
Standardized Resource Format CSV
Asset Size 62.00 MB
Legal Constraints

Use of this dataset is subject to UCAR's Terms of Use, except that commercial use is generally not prohibited.


Access Constraints Registration on the RDA web site is a requirement for access to the data.
Software Implementation Language N/A

Resource Support Name Doug Schuster
Resource Support Email schuster@ucar.edu
Resource Support Organization UCAR/NCAR - Research Data Archive
Distributor NCAR Research Data Archive
Metadata Contact Name N/A
Metadata Contact Email rdahelp@ucar.edu
Metadata Contact Organization NCAR Research Data Archive

Author Pournasiri, Maryam
Towler, Erin
Pal, Indriani
Publisher Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory
Publication Date 2016-01-28
Digital Object Identifier (DOI) https://doi.org/10.5065/D6QR4V9X
Alternate Identifier ds550.0
Resource Version N/A
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2024-01-03T15:11:47-07:00
Metadata Record Identifier edu.ucar.rda::ds550.0
Metadata Language eng; USA
Suggested Citation Pournasiri, Maryam, Towler, Erin, Pal, Indriani. (2016). Streamflow drought indicators across conterminous United States. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/D6QR4V9X. Accessed 24 April 2024.

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