This data release consists of daily mean streamflow, daily mean suspended sediment concentration (SSC), and daily mean suspended sediment load (SSL) data for selected U.S. Geological Survey (USGS) streamgage sites within the Fountain Creek watershed, separated by water year. Each file also includes USGS approval levels and any associated qualifiers that were applied to the values. The daily mean SSC and daily mean SSL were calculated using the program, Graphical Constituent Loading Analysis System (GCLAS), and are publicly available in the USGS National Water Information System (NWIS) database. The datasets also are presented as monthly total streamflow and monthly total SSL for selected USGS streamgage sites within the Fountain Creek watershed. Seasonal totals of streamflow and SSL, ratio of SSL to streamflow, yields, and suspended sediment flux are also presented. Additionally, for each seasonal period from 1998 to 2024, there is a site comparison text file documenting net difference of streamflow and SSL between sites. This data release is intended to be updated annually as new data are collected and available. The final datasets include continuous turbidity data, which are presented from 2018 to 2024 for sites 07106500 and 07103700 that were previously unpublished and used exclusively to aid in the estimation of concentration curves within GCLAS. For water year 2024, the continuous turbidity data are included in the dataset and are not publicly available in the NWIS database but were processed generally following techniques and methods for continuous water-quality monitors. Although the previous version is available from the author, all the records in previous versions can be found in version 2.0. First posted - April 26, 2024 Revised - June, 2025 (Version 2.0)

This data release consists of daily mean streamflow, daily mean suspended sediment concentration (SSC), and daily mean suspended sediment load (SSL) data for selected U.S. Geological Survey (USGS) streamgage sites within the Fountain Creek watershed, separated by water year. Each file also includes USGS approval levels and any associated qualifiers that were applied to the values. The daily mean SSC and daily mean SSL were calculated using the program, Graphical Constituent Loading Analysis System (GCLAS) , and are publicly available in the USGS National Water Information System (NWIS) database. Methods used in GCLAS to calculate daily mean SSC and SSL will not be discussed in this data release (see: User's manual for the Graphical Constituent Loading Analysis System (GCLAS), U.S. Geological Survey Techniques and Methods, 4-C1) . The datasets also are presented as monthly total streamflow and monthly total SSL for selected USGS streamgage sites within the Fountain Creek watershed. Seasonal totals of streamflow and SSL, ratio of SSL to streamflow, yields, and suspended sediment flux are also presented. Additionally, for each seasonal period from 1998 to 2023, there is a site comparison text file documenting net difference of streamflow and SSL between sites. The final datasets, which are presented from 2018—2023 for sites 07106500 and 07103700, include previously unpublished continuous turbidity data that were used exclusively to aid in the estimation of concentration curves within GCLAS. These turbidity data are not publicly available in the NWIS database, but were processed generally following techniques and methods for continuous water-quality monitors.

This model archive summary documents the suspended-sediment concentration (SSC) model developed to estimate 15-minute SSC at Muddy Creek above Paonia Reservoir, U.S. Geological Survey (USGS) site number 385903107210800. The methods used follow USGS guidance as referenced in relevant Office of Surface Water Technical Memorandum (TM) 2016.07 and Office of Water Quality TM 2016.10, and USGS Techniques and Methods, book 3, chap. C5 (Landers and others, 2016). A total of 438 suspended-sediment samples were collected during the calibration period. Forty-one of these samples (22 equal-width-interval [EWI] samples and 19 single-point pump samples) were used in the model calibration dataset. These 41 samples were collected over the range of observed streamflow, Sediment Corrected Backscatter (SCB), and Sediment Attenuation Coefficient (SAC) conditions. Samples used in calibration were plotted on duration curve plots for streamflow from March 2005 to November 2016 (Colorado Division of Water Resources data from 2005 to 2014, and USGS data for 2015–16), and SAC for the period of record. The plots indicate that samples were collected for the observed range of conditions at the site. Suspended-sediment concentrations at this site were computed from a calibrated regression model between SSC and SAC. Streamflow, SCB, dummy variables, and seasonality were also examined as potential variables. An ordinary least squares linear regression model was developed using the ‘stats’ and ‘smwrStats’ packages in R (R Core Team, 2018). Streamflow, SCB, SAC, dummy variable, and seasonality were examined as potential explanatory variables for estimating SSC. A square root transformed SAC was selected as the explanatory variable.

This model archive summary documents the suspended-sediment concentration (SSC) model developed to estimate 15-minute SSC at Muddy Creek above Paonia Reservoir, U.S. Geological Survey (USGS) site number 385903107210800. The methods used follow USGS guidance as referenced in relevant Office of Surface Water Technical Memorandum (TM) 2016.07 and Office of Water Quality TM 2016.10, and USGS Techniques and Methods, book 3, chap. C5 (Landers and others, 2016). A total of 438 suspended-sediment samples were collected during the calibration period. Forty-one of these samples (22 equal-width-interval [EWI] samples and 19 single-point pump samples) were used in the model calibration dataset. These 41 samples were collected over the range of observed streamflow, Sediment Corrected Backscatter (SCB), and Sediment Attenuation Coefficient (SAC) conditions. Samples used in calibration were plotted on duration curve plots for streamflow from March 2005 to November 2016 (Colorado Division of Water Resources data from 2005 to 2014, and USGS data for 2015–16), and SAC for the period of record. The plots indicate that samples were collected for the observed range of conditions at the site. Suspended-sediment concentrations at this site were computed from a calibrated regression model between SSC and SAC. Streamflow, SCB, dummy variables, and seasonality were also examined as potential variables. An ordinary least squares linear regression model was developed using the ‘stats’ and ‘smwrStats’ packages in R (R Core Team, 2018). Streamflow, SCB, SAC, dummy variable, and seasonality were examined as potential explanatory variables for estimating SSC. A square root transformed SAC was selected as the explanatory variable.

This data release provides suspended-sediment (concentration and load) and water temperature data for two locations along the Suiattle River (USGS 12187900 and 12188380) and a tributary, Downey Creek (USGS 12187985) in Washington State for partial periods over 2013-2017. Suspended-sediment and water temperature data were collected over two summer seasons from May through September 2016 and 2017 at USGS 12187900. Suspended-sediment and water temperature data were collected that approximately covers the Water Year 2017, extending from October 24, 2016 to November 16, 2017 at USGS 12187985. Suspended-sediment and water temperature data were collected from December 2013 through September 2017 at USGS 12188380. This updated version includes three changes. The first change regards the secondary surrogate (streamflow or Q) regression equation for USGS 12187900. The Q relationship at this site was split into two seasons to capture the glacier input of suspended-sediment. The updated suspended-sediment concentration (SSC), both total and fines, versus discharge regression into two seasons at USGS 12187900 only. Early season is defined as prior to August 1 and late season is defined as on and after August 1. This represents the transition of the sediment source from snowmelt to glacial melt. The early season regression predicts less suspended-sediment concentration (both total and fines) than the late season regression at a given river discharge. The relationship is much improved when splitting into two seasons, which is defined in this dataset on a specific date (August 1), however shifts in the SSC-Q relationship over a period of days or weeks. The second change in this updated version includes a change to the turbidity (primary) regression equations for USGS 12187900. The primary change is the addition of calibrated pump samples, during periods where the turbidity was greater than 20 FNU, to the input of the regressions. When all pump samples were included, the regression skewed the predicted SSC values significantly lower than observed. In order to fit the upper end of this regression more representatively the pump samples during periods less than 20 FNU were omitted. The change in the adjusted R-squared values improved from 0.77 to 0.92 for total SSC and 0.75 to 0.96 for SSC fines. The third change includes updates to daily suspended-sediment loads for USGS 12188380 during the period between 10/1/2016 to 10/12/2016 due to suspect Q data used to compute the daily sediment loads. The daily Q values for these days have since been updated on USGS's National Water Information System and daily suspended-sediment loads during that period have subsequently been updated here.

This data release provides suspended-sediment (concentration and load) and water temperature data for two locations along the Suiattle River (USGS 12187900 and 12188380) and a tributary, Downey Creek (USGS 12187985) in Washington State for partial periods over 2013-2017. Suspended-sediment and water temperature data were collected over two summer seasons from May through September 2016 and 2017 at USGS 12187900. Suspended-sediment and water temperature data were collected that approximately covers the Water Year 2017, extending from October 24, 2016 to November 16, 2017 at USGS 12187985. Suspended-sediment and water temperature data were collected from December 2013 through September 2017 at USGS 12188380. This updated version includes three changes. The first change regards the secondary surrogate (streamflow or Q) regression equation for USGS 12187900. The Q relationship at this site was split into two seasons to capture the glacier input of suspended-sediment. The updated suspended-sediment concentration (SSC), both total and fines, versus discharge regression into two seasons at USGS 12187900 only. Early season is defined as prior to August 1 and late season is defined as on and after August 1. This represents the transition of the sediment source from snowmelt to glacial melt. The early season regression predicts less suspended-sediment concentration (both total and fines) than the late season regression at a given river discharge. The relationship is much improved when splitting into two seasons, which is defined in this dataset on a specific date (August 1), however shifts in the SSC-Q relationship over a period of days or weeks. The second change in this updated version includes a change to the turbidity (primary) regression equations for USGS 12187900. The primary change is the addition of calibrated pump samples, during periods where the turbidity was greater than 20 FNU, to the input of the regressions. When all pump samples were included, the regression skewed the predicted SSC values significantly lower than observed. In order to fit the upper end of this regression more representatively the pump samples during periods less than 20 FNU were omitted. The change in the adjusted R-squared values improved from 0.77 to 0.92 for total SSC and 0.75 to 0.96 for SSC fines. The third change includes updates to daily suspended-sediment loads for USGS 12188380 during the period between 10/1/2016 to 10/12/2016 due to suspect Q data used to compute the daily sediment loads. The daily Q values for these days have since been updated on USGS's National Water Information System and daily suspended-sediment loads during that period have subsequently been updated here.

This data release summarizes suspended sediment monitoring results on the Bogachiel (USGS 12042800) and Calawah (USGS 12043000) Rivers between water years 2019 and 2021, based on a combination of continuous turbidity monitoring and discrete suspended-sediment concentration (SSC) measurements. Data and results for each monitoring station were combined into zip files. Each zip file contains 1) summarized SSC measurements used in model calibration, 2) a detailed model archive summary documenting the process used to estimate SSC at 15-minute intervals, and 3) full 15-minute estimates of SSC and suspended loads between Oct. 1, 2018 and Sept 30, 2021. Metadata files within the zip files provide additional details on the file structure.

This model archive summary documents the suspended-sediment concentration (SSC) model developed to estimate 15-minute SSC at North Fork Gunnison River below Raven Gulch, U.S. Geological Survey (USGS) site number 385553107243301. The methods used follow USGS guidance as referenced in relevant Office of Surface Water/Office of Water Quality Technical Memoranda and USGS Techniques and Methods, book 3, chap. C5 (Landers and others, 2016), and USGS Techniques and Methods, book 3, chap. C4 (Rasmussen and others, 2009). A total of 456 suspended-sediment samples were collected during the calibration period (45 cross-section and 411 single-station automatic pump samples). Thirty-nine samples (18 pump samples and 21 equal-width-interval (EWI) samples) with associated streamflow and turbidity were used in the model calibration dataset. These 39 samples were collected over the range of observed streamflow and turbidity conditions. Samples used in calibration were plotted on duration curve plots for streamflow from April 24, 2015 to October 7, 2017 and turbidity from April 24, 2015 to October 7, 2017. The plots indicate that samples were collected for the observed range of conditions at the site. Suspended-sediment concentrations at this site were computed from a calibrated regression model between SSC and turbidity. Streamflow, 2 frequencies of sediment corrected backscatter (SCB) (1.5 and 3.0 megahertz (MHz)), and 2 frequencies of sediment attenuation coefficient (SAC) (1.5 and 3.0 MHz) were also examined as potential variables but did not significantly improve the model. An ordinary least squares linear regression model was developed using the ‘stats’ and ‘smwrStats’ packages in R (R Core Team, 2018). Streamflow, SCB, SAC, and turbidity were examined as potential explanatory variables for estimating SSC. A natural log transformed turbidity was selected as the best explanatory variable.

This model archive summary documents the suspended-sediment concentration (SSC) model developed to estimate 15-minute SSC at North Fork Gunnison River below Raven Gulch, U.S. Geological Survey (USGS) site number 385553107243301. The methods used follow USGS guidance as referenced in relevant Office of Surface Water/Office of Water Quality Technical Memoranda and USGS Techniques and Methods, book 3, chap. C5 (Landers and others, 2016), and USGS Techniques and Methods, book 3, chap. C4 (Rasmussen and others, 2009). A total of 456 suspended-sediment samples were collected during the calibration period (45 cross-section and 411 single-station automatic pump samples). Thirty-nine samples (18 pump samples and 21 equal-width-interval (EWI) samples) with associated streamflow and turbidity were used in the model calibration dataset. These 39 samples were collected over the range of observed streamflow and turbidity conditions. Samples used in calibration were plotted on duration curve plots for streamflow from April 24, 2015 to October 7, 2017 and turbidity from April 24, 2015 to October 7, 2017. The plots indicate that samples were collected for the observed range of conditions at the site. Suspended-sediment concentrations at this site were computed from a calibrated regression model between SSC and turbidity. Streamflow, 2 frequencies of sediment corrected backscatter (SCB) (1.5 and 3.0 megahertz (MHz)), and 2 frequencies of sediment attenuation coefficient (SAC) (1.5 and 3.0 MHz) were also examined as potential variables but did not significantly improve the model. An ordinary least squares linear regression model was developed using the ‘stats’ and ‘smwrStats’ packages in R (R Core Team, 2018). Streamflow, SCB, SAC, and turbidity were examined as potential explanatory variables for estimating SSC. A natural log transformed turbidity was selected as the best explanatory variable.

This model archive summary documents the suspended-sediment concentration (SSC) model developed to estimate 15-minute SSC at North Fork Gunnison River below Raven Gulch, U.S. Geological Survey (USGS) site number 385553107243301. The methods used follow USGS guidance as referenced in relevant Office of Surface Water/Office of Water Quality Technical Memoranda and USGS Techniques and Methods, book 3, chap. C5 (Landers and others, 2016), and USGS Techniques and Methods, book 3, chap. C4 (Rasmussen and others, 2009). A total of 456 suspended-sediment samples were collected during the calibration period (45 cross-section and 411 single-station automatic pump samples). Thirty-nine samples (18 pump samples and 21 equal-width-interval (EWI) samples) with associated streamflow and turbidity were used in the model calibration dataset. These 39 samples were collected over the range of observed streamflow and turbidity conditions. Samples used in calibration were plotted on duration curve plots for streamflow from April 24, 2015 to October 7, 2017 and turbidity from April 24, 2015 to October 7, 2017. The plots indicate that samples were collected for the observed range of conditions at the site. Suspended-sediment concentrations at this site were computed from a calibrated regression model between SSC and turbidity. Streamflow, 2 frequencies of sediment corrected backscatter (SCB) (1.5 and 3.0 megahertz (MHz)), and 2 frequencies of sediment attenuation coefficient (SAC) (1.5 and 3.0 MHz) were also examined as potential variables but did not significantly improve the model. An ordinary least squares linear regression model was developed using the ‘stats’ and ‘smwrStats’ packages in R (R Core Team, 2018). Streamflow, SCB, SAC, and turbidity were examined as potential explanatory variables for estimating SSC. A natural log transformed turbidity was selected as the best explanatory variable.