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Long-term monotonic trends in annual and monthly stream temperature metrics at multi-source monitoring locations in the United States (ver. 2.0, June 2025)

Metadata Updated: October 30, 2025

The U.S. Geological Survey (USGS) Water Resources Mission Area (WMA) is working to address a need to understand where the Nation is experiencing water shortages or surpluses relative to the demand for water need by delivering routine assessments of water supply and demand and an understanding of the natural and human factors affecting the balance between supply and demand. A key part of the Integrated Water Availability Assessments (IWAAs) Trends and Drivers project is identifying long-term national trends in water availability, including groundwater and surface water quantity, quality, and use. This data release contains Mann-Kendall monotonic trend analyses for 58 observed annual (calendar, water, and climate years) and monthly stream temperature metrics. Data were collated (Oliver et al., 2024) from the U.S. Environmental Protection Agency (USEPA), USGS, and U.S. Department of Agriculture (USDA), including the Water Quality Portal (WQP), National Water Information System (NWIS), EcoSHEDS, and NorWeST databases (URLs below). Metrics were calculated at a total of 2,418 stream temperature monitoring locations within the conterminous United States, Alaska, Hawaii, and Puerto Rico that passed initial screening criteria, and are also included as part of this data release. Stream temperature metrics include monthly and annual summaries, extreme (i.e., min/max) and central (i.e., mean) tendencies, variability, and timing characteristics. Monthly ("mean_[month]") and annual ("mean") mean, annual maximum of seven-day averages ("high7d" and "date_high7d"), and annual sinusoidal regression metrics ("ampl_median" and "phase_median") were calculated using daily mean values. Monthly ("high7dmax_[month]") and annual ("high7dmax" and "date_high7dmax") maximum of seven-day averages and monthly ("cvmax_[month]") and annual ("cvmax") coefficient of variation were calculated using daily maximum values. The monthly ("low7dmin_[month]") and annual ("low7dmin" and "date_low7dmin") minimum of seven-day averages were calculated using daily minimum values. Trend magnitudes were computed for 2,213 qualifying monitoring locations using a modified form of the Theil-Sen slope that accounts for missing values. Trend analyses were computed between years 1948-2022 and trend periods are between 10-70 years long. Metric time series analyzed for trends satisfied two requirements to be considered complete records: (i) have values in at least eight out of every 10 years (i.e., 80 percent) within the entire trend period and (ii) have values in at least eight out of the first and last 10 years of the trend period. Trends at each site are available for five main periods: (i) 1980-2020, (ii) 1981-2010, (iii) 1990-2020, (iv) 1991-2020, and (v) 2000-2020. Trend periods (ii) and (iv) represent the previous and current climate normals periods, respectively, and were added in v2.0 of this data release. Additionally, trends for various ≥10-year sub-periods (e.g., 1997-2015) are included. The longest trend period for a given site-metric combination is explicitly identified. 90% confidence intervals (5th-95th percentiles) are also included for each trend. Caution must be exercised when utilizing monotonic trend analyses conducted over periods of up to several decades (and in some places longer ones) due to the potential for confounding deterministic gradual trends with multi-decadal climatic fluctuations. In addition, trend results for USGS locations (site_id prefix "USGS-") are only available for post-reservoir construction years to avoid including abrupt changes arising from the construction of larger reservoirs in periods for which gradual monotonic trends are computed. Reservoir impacts on non-USGS sites were not evaluated. Other abrupt changes, such as changes to water withdrawals and wastewater return flows, or episodic disturbances with multi-year recovery periods, such as wildfires, are also not evaluated for any site. Sites with pronounced abrupt changes or other non-monotonic trajectories of change may require more sophisticated trend analyses than those presented in this data release. EcoSHEDS: https://www.usgs.gov/apps/ecosheds NorWeST: https://www.fs.usda.gov/rm/boise/AWAE/projects/NorWeST.html First release: 2024-01-31 (ver. 1.0) Revised: 2025-06-13 (ver. 2.0)

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Dates

Metadata Created Date September 13, 2025
Metadata Updated Date October 30, 2025

Metadata Source

Harvested from DOI USGS DCAT-US

Additional Metadata

Resource Type Dataset
Metadata Created Date September 13, 2025
Metadata Updated Date October 30, 2025
Publisher U.S. Geological Survey
Maintainer
Identifier http://datainventory.doi.gov/id/dataset/usgs-652dc63fd34edd15305a952f
Data Last Modified 2025-06-13T00:00:00Z
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://ddi.doi.gov/usgs-data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id c5f854a6-2900-4689-93c5-64c204233c80
Harvest Source Id 2b80d118-ab3a-48ba-bd93-996bbacefac2
Harvest Source Title DOI USGS DCAT-US
Metadata Type geospatial
Old Spatial -162.8829, 21.3834, -67.2475, 70.4954
Source Datajson Identifier True
Source Hash 31eca411f860cd8e1e6e9be679ef097f399f0186627a8b3e3504196a7981c2d1
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -162.8829, 21.3834, -162.8829, 70.4954, -67.2475, 70.4954, -67.2475, 21.3834, -162.8829, 21.3834}

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