Geographic patterns and time trends of water-quality, modeled streamflow, and ecological data were compared along the Canadian River and selected tributaries in northeastern New Mexico to Lake Eufaula in Oklahoma to determine effects of climate change on water quality, streamflows, fish populations and ecological flows in this watershed from 1939 to 2013. Project participants included staff from the Oklahoma Cooperative Fish and Wildlife Research Unit, Vieux and Associates, USGS New Jersey Water Science Center and the USGS Oklahoma Water Science Center. Principal project funding was by the South Central Climate Science Center, with in-kind matching from the project participant organizations.

A comprehensive study to evaluate water-quality trends in the International Souris River Basin, Saskatchewan and Manitoba, Canada and North Dakota, United States was completed by the U.S. Geological Survey (USGS) in cooperation with the International Joint Commission and International Souris River Board. This child page contains seven csv files, site_flow, which contain daily streamflow values for each site. Each file includes a station identifier, date of observation, measured value of streamflow and qualifier code for the measured value. The format of the csv file (date format and column headings) is designed to meet the specific requirements of file format for R-QWTREND. If csv files are opened directly in excel, the format of the data can change. To ensure the data are in the proper format for R-QWTREND, files should be opened in a text editor. The "site" in site_flow can be cross-referenced to the main report by navigating to the file siteinfo.table.csv.

A comprehensive study to evaluate water-quality trends in the International Souris River Basin, Saskatchewan and Manitoba, Canada and North Dakota, United States was completed by the U.S. Geological Survey (USGS) in cooperation with the International Joint Commission and International Souris River Board. This child page contains seven csv files, site_flow, which contain daily streamflow values for each site. Each file includes a station identifier, date of observation, measured value of streamflow and qualifier code for the measured value. The format of the csv file (date format and column headings) is designed to meet the specific requirements of file format for R-QWTREND. If csv files are opened directly in excel, the format of the data can change. To ensure the data are in the proper format for R-QWTREND, files should be opened in a text editor. The "site" in site_flow can be cross-referenced to the main report by navigating to the file siteinfo.table.csv.

A comprehensive study to evaluate water-quality trends in the International Souris River Basin, Saskatchewan and Manitoba, Canada and North Dakota, United States was completed by the U.S. Geological Survey (USGS) in cooperation with the International Joint Commission and International Souris River Board. This child page contains seven csv files, site_flow, which contain daily streamflow values for each site. Each file includes a station identifier, date of observation, measured value of streamflow and qualifier code for the measured value. The format of the csv file (date format and column headings) is designed to meet the specific requirements of file format for R-QWTREND. If csv files are opened directly in excel, the format of the data can change. To ensure the data are in the proper format for R-QWTREND, files should be opened in a text editor. The "site" in site_flow can be cross-referenced to the main report by navigating to the file siteinfo.table.csv.

Paleohydrologic records provide a valuable perspective on the variability of streamflow and hydroclimate that is critical for water resource planning and placing present day and future conditions into a long-term context. Until now, key insights gained from streamflow reconstructions in the other river basins across the Western U.S. been lacking in the Upper Missouri River Basin due to a lack of extended streamflow records. Here we utilize a new database of naturalized streamflow records for the Upper Missouri and an expanded network of tree-ring records from the region to reconstruct streamflow at 31 gaging locations across the major Mountain Headwaters of the United States’ largest river basin. The database also includes an Upper Missouri Basin Basin composite record of streamflow that is not specific to any streamgage location, but rather summarizes streamflow variability across all the major gaging locations in the Upper Missouri River. The reconstructions explain an average of 68% of the variability in the observed streamflow records and extend records of streamflow to C.E. 886 on average. The network of streamflow reconstructions presented here fills a major geographical void in paleohydrologic understanding and provides important data resources to water managers balancing increasing water demands for hydropower, irrigation, navigation, and ecological resources with increasing flood risk in the basin.

Paleohydrologic records provide a valuable perspective on the variability of streamflow and hydroclimate that is critical for water resource planning and placing present day and future conditions into a long-term context. Until now, key insights gained from streamflow reconstructions in the other river basins across the Western U.S. been lacking in the Upper Missouri River Basin due to a lack of extended streamflow records. Here we utilize a new database of naturalized streamflow records for the Upper Missouri and an expanded network of tree-ring records from the region to reconstruct streamflow at 31 gaging locations across the major Mountain Headwaters of the United States’ largest river basin. The database also includes an Upper Missouri Basin Basin composite record of streamflow that is not specific to any streamgage location, but rather summarizes streamflow variability across all the major gaging locations in the Upper Missouri River. The reconstructions explain an average of 68% of the variability in the observed streamflow records and extend records of streamflow to C.E. 886 on average. The network of streamflow reconstructions presented here fills a major geographical void in paleohydrologic understanding and provides important data resources to water managers balancing increasing water demands for hydropower, irrigation, navigation, and ecological resources with increasing flood risk in the basin.

To provide daily mean streamflow values at ungaged (partial-record) sites within the Yankee Fork Salmon River watershed, the U.S. Geological Survey (USGS), in cooperation with U.S. Bureau of Reclamation, used discharge measurements at three partial-record sites and related those measurements to a nearby USGS real-time streamgage (index site). Daily mean streamflow was estimated by developing a regression relationship between each partial-record site and the index site for water years 2012-2019. These data are intended to provide daily mean streamflow estimates at partial-record sites as part of a larger study (Clark and others, 2021) to estimate sediment loading for each site.

To provide daily mean streamflow values at ungaged (partial-record) sites within the Yankee Fork Salmon River watershed, the U.S. Geological Survey (USGS), in cooperation with U.S. Bureau of Reclamation, used discharge measurements at three partial-record sites and related those measurements to a nearby USGS real-time streamgage (index site). Daily mean streamflow was estimated by developing a regression relationship between each partial-record site and the index site for water years 2012-2019. These data are intended to provide daily mean streamflow estimates at partial-record sites as part of a larger study (Clark and others, 2021) to estimate sediment loading for each site.

This dataset includes average, and annual average (e.g., average of 2020) watershed characteristics and environmental driver data for 189 rivers across the Northern Hemisphere. Average data includes lithology (e.g., percent of watershed covered by volcanics), land use (e.g., percent of watershed covered by cropland), maximum day length, median nitrogen and phosphorus concentrations, maximum watershed proportion of snow covered area, precipitation, temperature, evapotranspiration, green-up day, net primary productivity, 5th percentile discharge, 95th percentile discharge, day of minimum discharge, day of maximum discharge, and coefficient of variation of discharge. Average data includes maximum watershed proportion of snow covered area, precipitation, temperature, evapotranspiration, green-up day, net primary productivity, 5th percentile discharge, 95th percentile discharge, day of minimum discharge, day of maximum discharge, and coefficient of variation of discharge. Land use, lithology, snow covered area, precipitation, temperature, evapotranspiration, green-up day, and net primary productivity were sourced from public, globally available spatial datasets. Nitrogen, phosphorus, and discharge data were sourced from public and/or published datasets. Watershed characteristics and environmental variables were used in a series of random forest models to assess the drivers of 1) average fluvial silicon concentration regime; 2) annual fluvial silicon concentration regime; and 3) the minimum and maximum silicon concentrations within a given regime.

This dataset includes average, and annual average (e.g., average of 2020) watershed characteristics and environmental driver data for 189 rivers across the Northern Hemisphere. Average data includes lithology (e.g., percent of watershed covered by volcanics), land use (e.g., percent of watershed covered by cropland), maximum day length, median nitrogen and phosphorus concentrations, maximum watershed proportion of snow covered area, precipitation, temperature, evapotranspiration, green-up day, net primary productivity, 5th percentile discharge, 95th percentile discharge, day of minimum discharge, day of maximum discharge, and coefficient of variation of discharge. Average data includes maximum watershed proportion of snow covered area, precipitation, temperature, evapotranspiration, green-up day, net primary productivity, 5th percentile discharge, 95th percentile discharge, day of minimum discharge, day of maximum discharge, and coefficient of variation of discharge. Land use, lithology, snow covered area, precipitation, temperature, evapotranspiration, green-up day, and net primary productivity were sourced from public, globally available spatial datasets. Nitrogen, phosphorus, and discharge data were sourced from public and/or published datasets. Watershed characteristics and environmental variables were used in a series of random forest models to assess the drivers of 1) average fluvial silicon concentration regime; 2) annual fluvial silicon concentration regime; and 3) the minimum and maximum silicon concentrations within a given regime.