Spatial data used in the study "Characterization and Evaluation of Controls on Post-Fire Streamflow Response Across Western U.S. Watersheds".

Spatially-referenced data used in the study "Evaluating the Factors Responsible for Post-Fire Water Quality Response in Forests of the Western USA"

After wildfires occurred in the western United States during 2020, in-stream water quality monitors and automatic samplers were deployed in four burned watersheds and one unburned watershed. In-stream water temperature, turbidity, and fluorescent dissolved organic matter (fDOM) were measured at high frequency, and the fDOM data were corrected for temperature and turbidity effects. Automatic samplers were triggered during storm events, which captured turbid conditions in the wildfire affected streams. Laboratory experiments with storm event samples informed site-specific turbidity correction coefficients for fDOM data. An iterative solver approach also was developed to verify turbidity correction coefficients. This data release contains laboratory experiment data, as well as in-stream water temperature, turbidity, uncorrected fDOM, temperature-corrected fDOM, and temperature- and turbidity-corrected fDOM data. An example of the iterative solver code is also provided.

This tabular data set contains information on percent of wild fires per catchments for the years 2000 through 2012, and compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data is from the Wild Fire Decision Support System produced by the USDA Forestry Service (downloaded from http://wfdss.usgs.gov/wfdss/WFDSS_Home.shtml, 2016). The data provided here contains yearly information from 2000-2012, compiled as described above. The units are percents per catchments. Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions. Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. (Schwarz and Wieczorek, 2018).

This tabular data set contains information on percent of wild fires per catchments for the years 2000 through 2012, and compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data is from the Wild Fire Decision Support System produced by the USDA Forestry Service (downloaded from http://wfdss.usgs.gov/wfdss/WFDSS_Home.shtml, 2016). The data provided here contains yearly information from 2000-2012, compiled as described above. The units are percents per catchments. Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions. Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. (Schwarz and Wieczorek, 2018).

This metadata record describes a series of tabular datasets containing metrics used to characterize drought for select United States Geological Survey (USGS) streamgages in and surrounding the Colorado River Basin for the climate years (April 1 – March 31) 1981 to 2020. These streamgages are a subset of those used in Geospatial Attributes of Gages for Evaluating Streamflow, version 2 (GAGES-II, Falcone, 2011) with some additional USGS streamgages not in the GAGES-II dataset added. The metrics include streamflow percentiles, identified drought events, annual low streamflow, and statistics for each drought event.

This dataset describes streamflow and precipitation event statistics for four watersheds located in Clarksburg, Maryland, USA. Streamflow and precipitation events were identified from fourteen years of sub-daily (5- and 15-minute) monitoring data spanning October 1, 2004 through September 30, 2018. A 6-hour inter-event window was used to define discrete streamflow and precipitation events. The following streamflow metrics were calculated for each event area normalized peak streamflow, runoff yield, runoff ratio, streamflow duration, time to peak, and rise rate. Precipitation event metrics include total precipitation depth and precipitation event duration.

This dataset describes streamflow and precipitation event statistics for four watersheds located in Clarksburg, Maryland, USA. Streamflow and precipitation events were identified from fourteen years of sub-daily (5- and 15-minute) monitoring data spanning October 1, 2004 through September 30, 2018. A 6-hour inter-event window was used to define discrete streamflow and precipitation events. The following streamflow metrics were calculated for each event area normalized peak streamflow, runoff yield, runoff ratio, streamflow duration, time to peak, and rise rate. Precipitation event metrics include total precipitation depth and precipitation event duration.

This GeoJSON dataset contains information about 10780 waterfall and 1080 rapid locations (referred to as falls throughout the metadata) and characteristics (e.g. type and height) for the conterminous United States. This dataset centralizes known information about falls while providing basic quality control (i.e. resolving duplicate records and spatial accuracy checks) and linkages to stream networks intended to facilitate stream network analyses. Locations of falls were sourced from the World Waterfall Database (WWD, www.worldwaterfalldatabase.com), the US Forest Service Center for Aquatic Technology Transfer (acquired from Southeast Aquatic Barrier Inventory), and Geographic Names Information System (GNIS, https://geonames.usgs.gov). The coordinates and spatial attributes from source data were used to verify locations using The HydroLink Tool (https://maps.usgs.gov/hydrolink). The HydroLink Tool was also used to address locations (similar to the concept of street addresses) to both the National Hydrography Dataset Plus Medium Resolution Version 2.1 (1:100,000 scale)(NHDPlusV2.1) and National Hydrography Dataset High Resolution (1:24,000 scale)(NHD HR) geospatial stream networks. The development of this dataset did not impose strict fall definitions but instead compiled qualified falls as defined by sources while capturing characteristics when available to help users identify falls of interest for any given use case. More specifically there is a gradation of waterfalls represented in the dataset where general fall types are defined by source datasets but are not standardized by USGS staff.

This GeoJSON dataset contains information about 10780 waterfall and 1080 rapid locations (referred to as falls throughout the metadata) and characteristics (e.g. type and height) for the conterminous United States. This dataset centralizes known information about falls while providing basic quality control (i.e. resolving duplicate records and spatial accuracy checks) and linkages to stream networks intended to facilitate stream network analyses. Locations of falls were sourced from the World Waterfall Database (WWD, www.worldwaterfalldatabase.com), the US Forest Service Center for Aquatic Technology Transfer (acquired from Southeast Aquatic Barrier Inventory), and Geographic Names Information System (GNIS, https://geonames.usgs.gov). The coordinates and spatial attributes from source data were used to verify locations using The HydroLink Tool (https://maps.usgs.gov/hydrolink). The HydroLink Tool was also used to address locations (similar to the concept of street addresses) to both the National Hydrography Dataset Plus Medium Resolution Version 2.1 (1:100,000 scale)(NHDPlusV2.1) and National Hydrography Dataset High Resolution (1:24,000 scale)(NHD HR) geospatial stream networks. The development of this dataset did not impose strict fall definitions but instead compiled qualified falls as defined by sources while capturing characteristics when available to help users identify falls of interest for any given use case. More specifically there is a gradation of waterfalls represented in the dataset where general fall types are defined by source datasets but are not standardized by USGS staff.