This data release supports the analysis of the recurrence interval of post-fire debris-flow generating rainfall in the southwestern United States. We define the recurrence interval of the peak 15-, 30-, and 60-minute rainfall intensities for 316 observations of post-fire debris-flow occurrence in 18 burn areas, 5 U.S. states, and 7 climate types (as defined by Beck, H. E., Zimmermann, N. E., McVicar, T. R., Vergopolan, N., Berg, A., & Wood, E. F. (2018). Present and future Köppen-Geiger climate classification maps at 1-km resolution. Scientific Data, 5(1), 180214. doi:10.1038/sdata.2018.214).

This data release includes time-series data from a monitoring site located in a small drainage basin in the Arroyo Seco watershed in Los Angeles County, CA, USA (N3788964 E389956, UTM Zone 11, NAD83). The site was established after the 2009 Station Fire and recorded a series debris flows in the first winter after the fire. The data include three types of time-series: (1) 1-minute time series of rainfall, soil water content, channel bed pore pressure and temperature, and flow stage recorded by radar and laser distance meters (ArroyoSecoContinuous.csv); (2) 10-Hz time series of flow stage recorded by the laser distance meter during rain storms (ArroyoSecoStormLaser.csv), and (3) 2-second time series of rainfall and channel bed pore pressure and temperature during rain storms (ArroyoSecoStormPressureRain.csv). The laser and radar distance meters are suspended above the pore pressure sensor mounted in the bedrock of the channel. The equations for converting the distance measurements into flow stage above the pressure sensor (or stage of the stationary bed surface during times of no flow) are given by the equations Stage_laser (meters) = 2.107 meters – Distance_laser (meters), and Stage_radar (meters) = 2.156 meters – Distance_radar (feet)*0.3048 Details of this study are described in the journal article: Kean, J. W., D. M. Staley, and S. H. Cannon (2011), In situ measurements of post-fire debris flows in southern California: Comparisons of the timing and magnitude of 24 debris-flow events with rainfall and soil moisture conditions, J. Geophys. Res., 116, F04019, doi:10.1029/2011JF002005.

This data release includes time-series data from a monitoring site located in a small drainage basin in the Arroyo Seco watershed in Los Angeles County, CA, USA (N3788964 E389956, UTM Zone 11, NAD83). The site was established after the 2009 Station Fire and recorded a series debris flows in the first winter after the fire. The data include three types of time-series: (1) 1-minute time series of rainfall, soil water content, channel bed pore pressure and temperature, and flow stage recorded by radar and laser distance meters (ArroyoSecoContinuous.csv); (2) 10-Hz time series of flow stage recorded by the laser distance meter during rain storms (ArroyoSecoStormLaser.csv), and (3) 2-second time series of rainfall and channel bed pore pressure and temperature during rain storms (ArroyoSecoStormPressureRain.csv). The laser and radar distance meters are suspended above the pore pressure sensor mounted in the bedrock of the channel. The equations for converting the distance measurements into flow stage above the pressure sensor (or stage of the stationary bed surface during times of no flow) are given by the equations Stage_laser (meters) = 2.107 meters – Distance_laser (meters), and Stage_radar (meters) = 2.156 meters – Distance_radar (feet)*0.3048 Details of this study are described in the journal article: Kean, J. W., D. M. Staley, and S. H. Cannon (2011), In situ measurements of post-fire debris flows in southern California: Comparisons of the timing and magnitude of 24 debris-flow events with rainfall and soil moisture conditions, J. Geophys. Res., 116, F04019, doi:10.1029/2011JF002005.

This data release is a field-verified inventory of postfire debris flows for the 2021 Dixie Fire following a 23-25 October 2021 atmospheric river storm and 12 June 2022 thunderstorm. The “README.txt” file describes the fields for the “Inventory.csv” file. The “Chambers” and “Chips” rain gage data referenced in the inventory are included as: “Chambers-Oct2021-Storm.csv”, “Chambers-Jun2022-Storm.csv”, “Chips-Oct2021-Storm.csv”, and “Chips-Jun2022-Storm.csv.” The fields for the rain gage data, which includes the geographic locations of the gages, are also described in the “README.txt” file. Fields with value “-9999” indicate that data are not available or do not exist.

This data release is a field-verified inventory of postfire debris flows for the 2021 Dixie Fire following a 23-25 October 2021 atmospheric river storm and 12 June 2022 thunderstorm. The “README.txt” file describes the fields for the “Inventory.csv” file. The “Chambers” and “Chips” rain gage data referenced in the inventory are included as: “Chambers-Oct2021-Storm.csv”, “Chambers-Jun2022-Storm.csv”, “Chips-Oct2021-Storm.csv”, and “Chips-Jun2022-Storm.csv.” The fields for the rain gage data, which includes the geographic locations of the gages, are also described in the “README.txt” file. Fields with value “-9999” indicate that data are not available or do not exist.

Wildfires are increasing in size and severity due to warmer drought climate change combined with overstocked forests. Fire increases the likelihood of debris flows, posing significant threats to life, property, and water supplies. Post-fire debris flows are a substantial, increasing hazard in the Santa Fe Municipal Watershed and other similar forested watersheds across the western United States. The Santa Fe Municipal Watershed in northern New Mexico is of vital importance to the water supply for the city of Santa We conducted a debris-flow hazard assessment for the Santa Fe Municipal Watershed (SFMW) in north-central New Mexico. We modeled post-fire debris flow probability and volume in 103 sub-basins for 2-year, 5-year, and Probable Maximum Precipitation rainfalls following modeled low-, moderate-, and high-severity wildfires. Crown fire potential was modeled with FlamMap (Finney, 2006), after Tillery et al. (2014). To satisfy data input requirements of the debris flow model that includes burn severity classes (low, moderate, and high), the modeled crown fire activity was first converted to dNBR (French et al. 2008). This conversion was calibrated based on burn severities from the 2011 Pacheco Fire that burned in a nearby watershed (approximately 5 km north of the SFMW). Data files are numbered 1-5. Spatial files provided in this data release include: 1) polygon of the study area; 2) 103 sub-basins within the study area; 3) Thematic Burn Severity Mosaic for New Mexico in 2011; and 4) complete post-fire debris flow probability and volume data of every rainfall event and wildfire scenario for 103 sub-basins; and tabulated data provided in this data release include: 5) calculated burn severity percentages for Pacheco Canyon Fire.

Wildfires are increasing in size and severity due to warmer drought climate change combined with overstocked forests. Fire increases the likelihood of debris flows, posing significant threats to life, property, and water supplies. Post-fire debris flows are a substantial, increasing hazard in the Santa Fe Municipal Watershed and other similar forested watersheds across the western United States. The Santa Fe Municipal Watershed in northern New Mexico is of vital importance to the water supply for the city of Santa We conducted a debris-flow hazard assessment for the Santa Fe Municipal Watershed (SFMW) in north-central New Mexico. We modeled post-fire debris flow probability and volume in 103 sub-basins for 2-year, 5-year, and Probable Maximum Precipitation rainfalls following modeled low-, moderate-, and high-severity wildfires. Crown fire potential was modeled with FlamMap (Finney, 2006), after Tillery et al. (2014). To satisfy data input requirements of the debris flow model that includes burn severity classes (low, moderate, and high), the modeled crown fire activity was first converted to dNBR (French et al. 2008). This conversion was calibrated based on burn severities from the 2011 Pacheco Fire that burned in a nearby watershed (approximately 5 km north of the SFMW). Data files are numbered 1-5. Spatial files provided in this data release include: 1) polygon of the study area; 2) 103 sub-basins within the study area; 3) Thematic Burn Severity Mosaic for New Mexico in 2011; and 4) complete post-fire debris flow probability and volume data of every rainfall event and wildfire scenario for 103 sub-basins; and tabulated data provided in this data release include: 5) calculated burn severity percentages for Pacheco Canyon Fire.

This data release contains gridded estimates of postfire debris flow probability and magnitude for six different rainfall and wildfire scenarios in southern California. The scenarios represent the present and hypothetical future precipitation and fire regimes for the region. The results are provided for 1 km^2 cells across the study area.

This data release contains gridded estimates of postfire debris flow probability and magnitude for six different rainfall and wildfire scenarios in southern California. The scenarios represent the present and hypothetical future precipitation and fire regimes for the region. The results are provided for 1 km^2 cells across the study area.

Rain-gages are critical instrumentation for documenting the rainfall forcing of post-wildfire hydrologic, erosional, and water-quality response. This USGS Data Release presents tipping-bucket rain gage data following two wildfires: the 2000 Cerro Grande Fire near Los Alamos, New Mexico and the 2010 Fourmile Canyon Fire near Boulder, Colorado. The data presented in this USGS Data Release are used for analyses that demonstrate important concepts in precipitation characteristics that relate to temporal and spatial scales. Further information regarding the location and data processing are available in the metadata.