Jason Kean
My research focuses on the processes controlling debris-flow initiation and growth, particularly after wildfire, but also in unburned areas.
This research includes a field component that obtains direct measurements of debris flows in natural settings, a modeling component that seeks to explain the observations, and an applied component that focuses on assessment of debris-flow hazards. My previous research at the USGS focused on river mechanics, including bank erosion and the development of model-based approaches to gage streams and rivers.
Education and Certifications
University of Colorado, Ph.D., 2003, Civil Engineering
University of Colorado, M.S., 1998, Civil Engineering
Cornell University, B.S., 1994, Civil Engineering
Science and Products
Filter Total Items: 29
Field-verified inventory of postfire hydrologic response for the 2020 CZU Lightning Complex, River, Camel, and Dolan Fires following a 26-29 January 2021 atmospheric river storm sequence Field-verified inventory of postfire hydrologic response for the 2020 CZU Lightning Complex, River, Camel, and Dolan Fires following a 26-29 January 2021 atmospheric river storm sequence
This data release is a field-verified inventory of postfire hydrologic response for the 2020 CZU (San Mateo–Santa Cruz Unit) Lightning Complex, River Fire, Camel Fire, and Dolan Fire following a 26-29 January 2021 atmospheric river storm sequence. Postfire hydrologic response types include a) no response, b) minor response, and c) major response. A “minor” response was deemed capable of...
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 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
Summary 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...
Debris-flow and Flood Video Files, Chalk Cliffs, Colorado, USA, 2019 Debris-flow and Flood Video Files, Chalk Cliffs, Colorado, USA, 2019
Chalk Cliffs, located 8 miles southwest of Buena Vista, Colorado, is a natural laboratory for research on runoff-initiated debris flows (Coe et al., 2010). In 2019, there were two monitoring stations operating at Chalk Cliffs. The Upper Station drains an area of 0.06 km2 and was used to monitor flow properties and triggering conditions in the headwaters of the study area. It was equipped...
Debris-flow and Flood Video Files, Chalk Cliffs, Colorado, USA, 2015 Debris-flow and Flood Video Files, Chalk Cliffs, Colorado, USA, 2015
Chalk Cliffs, located 8 miles southwest of Buena Vista, Colorado, is one of the most active debris-flow areas in the state (U.S. Geological Survey). Three stations were set up at Chalk Cliffs which are located sequentially along a channel draining the 0.3 km2 study area. These stations are equipped with rain gauges, laser distance meters, and data loggers to record rainfall and stage...
Debris-flow and Flood Video Files, Chalk Cliffs, Colorado, USA, 2016 Debris-flow and Flood Video Files, Chalk Cliffs, Colorado, USA, 2016
Chalk Cliffs located 8 miles southwest of Buena Vista, Colorado, is one of the most active debris-flow areas in the state (U.S. Geological Survey). Three stations were set up at Chalk Cliffs which are located sequentially along a channel draining the 0.3 km2 study area. These stations are equipped with rain gauges, laser distance meters, and data loggers to record rainfall and stage data...
Debris-flow video files, Chalk Cliffs, Colorado, USA, 2017 Debris-flow video files, Chalk Cliffs, Colorado, USA, 2017
Chalk Cliffs, located 8 miles southwest of Buena Vista, Colorado, is one of the most active debris-flow areas in the state (U.S. Geological Survey). Three stations were set up at Chalk Cliffs which are located sequentially along a channel draining the 0.3 km^2 study area. This data release includes videos of debris-flows and floods captured by high-definition cameras placed at four...
Filter Total Items: 97
Toward probabilistic post-fire debris-flow hazard decision support Toward probabilistic post-fire debris-flow hazard decision support
Post-wildfire debris flows (PFDF) threaten life and property in western North America. They are triggered by short-duration, high-intensity rainfall. Following a wildfire, rainfall thresholds are developed that, if exceeded, indicate high likelihood of a PFDF. Existing weather forecast products allow forecasters to identify favorable atmospheric conditions for rainfall intensities that...
Authors
Nina S. Oakley, Tao Liu, Luke McGuire, Matthew Simpson, Benjamin J. Hatchett, Alexander Tardy, Jason W. Kean, Christopher Castellano, Jayme L. Laber, Daniel Steinhoff
Bedrock erosion by debris flows at Chalk Cliffs, Colorado, USA: Implications for bedrock channel evolution Bedrock erosion by debris flows at Chalk Cliffs, Colorado, USA: Implications for bedrock channel evolution
Debris flow erosion into bedrock helps to set the pace of mountain denudation, but there are few empirical observations of this process. We studied the effects of debris flows on bedrock erosion using Structure-From-Motion photogrammetry and multiple real-time monitoring measurements. We found that the distribution of bedrock erosion across the channel cross-section could be generalized...
Authors
Francis K. Rengers, Jason W. Kean, Jeffrey A. Coe, Megan Hanson, Joel Smith
Runout model evaluation based on back-calculation of building damage Runout model evaluation based on back-calculation of building damage
We evaluated the ability of three debris-flow runout models (RAMMS, FLO2D and D-Claw) to predict the number of damaged buildings in simulations of the 9 January 2019 Montecito, California, debris-flow event. Observations of building damage after the event were combined with OpenStreetMap building footprints to construct a database of all potentially impacted buildings. At the estimated...
Authors
Katherine R. Barnhart, Jason W. Kean
Forecasting the inundation of postfire debris flows Forecasting the inundation of postfire debris flows
In the semi-arid regions of the western United States, postfire debris flows are typically runoff generated. The U.S. Geological Survey has been studying the mechanisms of postfire debris-flow initiation for multiple decades to generate operational models for forecasting the timing, location, and magnitude of postfire debris flows. Here we discuss challenges and progress for extending...
Authors
Katherine R. Barnhart, Ryan P Jones, David L. George, Francis K. Rengers, Jason W. Kean
Predicting burn severity for integration with post-fire debris-flow hazard assessment: A case study from the Upper Colorado River Basin, USA Predicting burn severity for integration with post-fire debris-flow hazard assessment: A case study from the Upper Colorado River Basin, USA
Background: Burn severity significantly increases the likelihood and volume of post-wildfire debris flows. Pre-fire severity predictions can expedite mitigation efforts because precipitation contributing to these hazards often occurs shortly after wildfires, leaving little time for post-fire planning and management. Aim: The aim of this study was to predict burn severity using pre-fire...
Authors
Adam Gerhard Wells, Todd Hawbaker, John Kevin Hiers, Jason W. Kean, Rachel A. Loehman, Paul F. Steblein
Postfire hydrologic response along the central California (USA) coast: Insights for the emergency assessment of postfire debris-flow hazards Postfire hydrologic response along the central California (USA) coast: Insights for the emergency assessment of postfire debris-flow hazards
The steep, tectonically active terrain along the Central California (USA) coast is well known to produce deadly and destructive debris flows. However, the extent to which fire affects debris-flow susceptibility in this region is an open question. We documented the occurrence of postfire debris floods and flows following the landfall of a storm that delivered intense rainfall across...
Authors
Matthew A. Thomas, Jason W. Kean, Scott W. McCoy, Donald N. Lindsay, Jaime Kostelnik, David B. Cavagnaro, Francis K. Rengers, Amy E. East, Jonathan Schwartz, Douglas P. Smith, Brian D. Collins
Science and Products
Filter Total Items: 29
Field-verified inventory of postfire hydrologic response for the 2020 CZU Lightning Complex, River, Camel, and Dolan Fires following a 26-29 January 2021 atmospheric river storm sequence Field-verified inventory of postfire hydrologic response for the 2020 CZU Lightning Complex, River, Camel, and Dolan Fires following a 26-29 January 2021 atmospheric river storm sequence
This data release is a field-verified inventory of postfire hydrologic response for the 2020 CZU (San Mateo–Santa Cruz Unit) Lightning Complex, River Fire, Camel Fire, and Dolan Fire following a 26-29 January 2021 atmospheric river storm sequence. Postfire hydrologic response types include a) no response, b) minor response, and c) major response. A “minor” response was deemed capable of...
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 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
Summary 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...
Debris-flow and Flood Video Files, Chalk Cliffs, Colorado, USA, 2019 Debris-flow and Flood Video Files, Chalk Cliffs, Colorado, USA, 2019
Chalk Cliffs, located 8 miles southwest of Buena Vista, Colorado, is a natural laboratory for research on runoff-initiated debris flows (Coe et al., 2010). In 2019, there were two monitoring stations operating at Chalk Cliffs. The Upper Station drains an area of 0.06 km2 and was used to monitor flow properties and triggering conditions in the headwaters of the study area. It was equipped...
Debris-flow and Flood Video Files, Chalk Cliffs, Colorado, USA, 2015 Debris-flow and Flood Video Files, Chalk Cliffs, Colorado, USA, 2015
Chalk Cliffs, located 8 miles southwest of Buena Vista, Colorado, is one of the most active debris-flow areas in the state (U.S. Geological Survey). Three stations were set up at Chalk Cliffs which are located sequentially along a channel draining the 0.3 km2 study area. These stations are equipped with rain gauges, laser distance meters, and data loggers to record rainfall and stage...
Debris-flow and Flood Video Files, Chalk Cliffs, Colorado, USA, 2016 Debris-flow and Flood Video Files, Chalk Cliffs, Colorado, USA, 2016
Chalk Cliffs located 8 miles southwest of Buena Vista, Colorado, is one of the most active debris-flow areas in the state (U.S. Geological Survey). Three stations were set up at Chalk Cliffs which are located sequentially along a channel draining the 0.3 km2 study area. These stations are equipped with rain gauges, laser distance meters, and data loggers to record rainfall and stage data...
Debris-flow video files, Chalk Cliffs, Colorado, USA, 2017 Debris-flow video files, Chalk Cliffs, Colorado, USA, 2017
Chalk Cliffs, located 8 miles southwest of Buena Vista, Colorado, is one of the most active debris-flow areas in the state (U.S. Geological Survey). Three stations were set up at Chalk Cliffs which are located sequentially along a channel draining the 0.3 km^2 study area. This data release includes videos of debris-flows and floods captured by high-definition cameras placed at four...
Filter Total Items: 97
Toward probabilistic post-fire debris-flow hazard decision support Toward probabilistic post-fire debris-flow hazard decision support
Post-wildfire debris flows (PFDF) threaten life and property in western North America. They are triggered by short-duration, high-intensity rainfall. Following a wildfire, rainfall thresholds are developed that, if exceeded, indicate high likelihood of a PFDF. Existing weather forecast products allow forecasters to identify favorable atmospheric conditions for rainfall intensities that...
Authors
Nina S. Oakley, Tao Liu, Luke McGuire, Matthew Simpson, Benjamin J. Hatchett, Alexander Tardy, Jason W. Kean, Christopher Castellano, Jayme L. Laber, Daniel Steinhoff
Bedrock erosion by debris flows at Chalk Cliffs, Colorado, USA: Implications for bedrock channel evolution Bedrock erosion by debris flows at Chalk Cliffs, Colorado, USA: Implications for bedrock channel evolution
Debris flow erosion into bedrock helps to set the pace of mountain denudation, but there are few empirical observations of this process. We studied the effects of debris flows on bedrock erosion using Structure-From-Motion photogrammetry and multiple real-time monitoring measurements. We found that the distribution of bedrock erosion across the channel cross-section could be generalized...
Authors
Francis K. Rengers, Jason W. Kean, Jeffrey A. Coe, Megan Hanson, Joel Smith
Runout model evaluation based on back-calculation of building damage Runout model evaluation based on back-calculation of building damage
We evaluated the ability of three debris-flow runout models (RAMMS, FLO2D and D-Claw) to predict the number of damaged buildings in simulations of the 9 January 2019 Montecito, California, debris-flow event. Observations of building damage after the event were combined with OpenStreetMap building footprints to construct a database of all potentially impacted buildings. At the estimated...
Authors
Katherine R. Barnhart, Jason W. Kean
Forecasting the inundation of postfire debris flows Forecasting the inundation of postfire debris flows
In the semi-arid regions of the western United States, postfire debris flows are typically runoff generated. The U.S. Geological Survey has been studying the mechanisms of postfire debris-flow initiation for multiple decades to generate operational models for forecasting the timing, location, and magnitude of postfire debris flows. Here we discuss challenges and progress for extending...
Authors
Katherine R. Barnhart, Ryan P Jones, David L. George, Francis K. Rengers, Jason W. Kean
Predicting burn severity for integration with post-fire debris-flow hazard assessment: A case study from the Upper Colorado River Basin, USA Predicting burn severity for integration with post-fire debris-flow hazard assessment: A case study from the Upper Colorado River Basin, USA
Background: Burn severity significantly increases the likelihood and volume of post-wildfire debris flows. Pre-fire severity predictions can expedite mitigation efforts because precipitation contributing to these hazards often occurs shortly after wildfires, leaving little time for post-fire planning and management. Aim: The aim of this study was to predict burn severity using pre-fire...
Authors
Adam Gerhard Wells, Todd Hawbaker, John Kevin Hiers, Jason W. Kean, Rachel A. Loehman, Paul F. Steblein
Postfire hydrologic response along the central California (USA) coast: Insights for the emergency assessment of postfire debris-flow hazards Postfire hydrologic response along the central California (USA) coast: Insights for the emergency assessment of postfire debris-flow hazards
The steep, tectonically active terrain along the Central California (USA) coast is well known to produce deadly and destructive debris flows. However, the extent to which fire affects debris-flow susceptibility in this region is an open question. We documented the occurrence of postfire debris floods and flows following the landfall of a storm that delivered intense rainfall across...
Authors
Matthew A. Thomas, Jason W. Kean, Scott W. McCoy, Donald N. Lindsay, Jaime Kostelnik, David B. Cavagnaro, Francis K. Rengers, Amy E. East, Jonathan Schwartz, Douglas P. Smith, Brian D. Collins