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Katherine J. Chase (Former Employee)

Science and Products

Ice jam on Little Wind River Ice jam on Little Wind River (06235500), February 2017. Streamgage destroyed soon after photo taken

Ice Jam Hazard

Ice jams along rivers cause flooding, scouring, injuries and loss of life, and structural and environmental damage; they are a major hazard across the northern United States. Communities need data about ice jam locations and frequencies, as well as information about developing ice jams that might threaten lives and property.
By
Wyoming-Montana Water Science Center
Ice Jam Hazard

Ice Jam Hazard

Ice jams along rivers cause flooding, scouring, injuries and loss of life, and structural and environmental damage; they are a major hazard across the northern United States. Communities need data about ice jam locations and frequencies, as well as information about developing ice jams that might threaten lives and property.
Learn More
June 2018 flooding along Elk Creek in Augusta, Montana

Augusta 2018 Flood Measurements and Flood Frequency Updates along the Rocky Mountain Front

The USGS WY-MT Water Science Center provided discharge measurements and high water mark (HWM) flagging for the June 2018 flooding along Elk Creek in Augusta, Montana.
By
Wyoming-Montana Water Science Center
Augusta 2018 Flood Measurements and Flood Frequency Updates along the Rocky Mountain Front

Augusta 2018 Flood Measurements and Flood Frequency Updates along the Rocky Mountain Front

The USGS WY-MT Water Science Center provided discharge measurements and high water mark (HWM) flagging for the June 2018 flooding along Elk Creek in Augusta, Montana.
Learn More
USGS science for a changing world logo

ICE! Ice Jam Hazard Mobile-Friendly Website

Ice jams are a major hazard. The project team worked with the US Army Corps of Engineers, National Weather Service, Silver Jackets, and USGS stakeholders to develop a mobile-friendly prototype of an Ice Jam Hazard website and reporting system. The prototype shows how ice jam conditions can be recorded nationwide. The public can view and download ice jam information. Historic ice jam...
By
Community for Data Integration (CDI)
ICE! Ice Jam Hazard Mobile-Friendly Website

ICE! Ice Jam Hazard Mobile-Friendly Website

Ice jams are a major hazard. The project team worked with the US Army Corps of Engineers, National Weather Service, Silver Jackets, and USGS stakeholders to develop a mobile-friendly prototype of an Ice Jam Hazard website and reporting system. The prototype shows how ice jam conditions can be recorded nationwide. The public can view and download ice jam information. Historic ice jam locations and
Learn More
Water bursts over the banks of the Lamar River and Soda Butte Creek in Yellowstone National Park during the 2022 floods.

StreamStats in Montana and Wyoming

StreamStats is a digital, map-based tool designed to provide information about streamflow and the upstream watershed of any selected point on a stream. The tool can assist in water resources planning and management and support engineering and design projects. StreamStats is available in both Montana and Wyoming.
By
Wyoming-Montana Water Science Center
StreamStats in Montana and Wyoming

StreamStats in Montana and Wyoming

StreamStats is a digital, map-based tool designed to provide information about streamflow and the upstream watershed of any selected point on a stream. The tool can assist in water resources planning and management and support engineering and design projects. StreamStats is available in both Montana and Wyoming.
Learn More
O'Fallon Creek near Mildred, Montana

Living on the Edge: Predicting Effects of Climate Change on Native Fishes in Northern Great Plains Streams

Organisms that live in the semi-arid prairies in the Northern Great Plains are able to live through conditions of extreme heat, cold, floods, and drought. The fish that inhabit the warm, turbid waters of northern Great Plains streams are indicators of change in these delicate ecosystems, where water quantity and water quality are often precariously close to ecological tolerance limits. In fact...
By
Wyoming-Montana Water Science Center
Living on the Edge: Predicting Effects of Climate Change on Native Fishes in Northern Great Plains Streams

Living on the Edge: Predicting Effects of Climate Change on Native Fishes in Northern Great Plains Streams

Organisms that live in the semi-arid prairies in the Northern Great Plains are able to live through conditions of extreme heat, cold, floods, and drought. The fish that inhabit the warm, turbid waters of northern Great Plains streams are indicators of change in these delicate ecosystems, where water quantity and water quality are often precariously close to ecological tolerance limits. In fact...
Learn More
USGS science for a changing world logo

Development of Recommended Practices and Workflow for Publishing Digital Data through ScienceBase for Dynamic Visualization

The purpose of this project was to document processes for USGS scientists to organize and share data using ScienceBase, and to provide an example interactive mapping application to display those data. Data and maps from Chase and others (2016a, b) were used for the example interactive maps. Principal Investigator : Katherine J Chase, Andy Bock, Thomas R Sando Accomplishments The
By
Community for Data Integration (CDI)
Development of Recommended Practices and Workflow for Publishing Digital Data through ScienceBase for Dynamic Visualization

Development of Recommended Practices and Workflow for Publishing Digital Data through ScienceBase for Dynamic Visualization

The purpose of this project was to document processes for USGS scientists to organize and share data using ScienceBase, and to provide an example interactive mapping application to display those data. Data and maps from Chase and others (2016a, b) were used for the example interactive maps. Principal Investigator : Katherine J Chase, Andy Bock, Thomas R Sando Accomplishments The
Learn More
Filter Total Items: 14

Attributions for nonstationary peak streamflow records across the conterminous United States, 1941-2015 and 1966-2015 Attributions for nonstationary peak streamflow records across the conterminous United States, 1941-2015 and 1966-2015

The U.S. Geological Survey Dakota Water Science Center, in cooperation with the Federal Highway Administration, analyzed annual peak-flow data to determine if trends are present and provide attribution of trends where possible. Work for the national trend attributions for nonstationary annual peak-flow records was broken into seven regions that are loosely based off of two-digit...
By
Dakota Water Science Center

Peak-flow frequency analyses for selected streamgages in Carbon County, Montana, based on data through water year 2018 Peak-flow frequency analyses for selected streamgages in Carbon County, Montana, based on data through water year 2018

The USGS Wyoming-Montana Water Science Center (WY-MT WSC) documented (Sando and McCarthy, 2018) methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected streamgages...
By
Wyoming-Montana Water Science Center

Peak-flow frequency analyses for 14 selected streamgages in the Beaverhead River and Clark Fork Basins Montana, based on data through water year 2016 Peak-flow frequency analyses for 14 selected streamgages in the Beaverhead River and Clark Fork Basins Montana, based on data through water year 2016

The USGS Wyoming-Montana Water Science Center (WY-MT WSC) recently completed a report (Sando and McCarthy, 2018) documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for...
By
Wyoming-Montana Water Science Center

Peak-flow frequency analyses for 99 selected streamgages in or near Montana, based on data through water year 2015 (ver. 1.1, August 2020) Peak-flow frequency analyses for 99 selected streamgages in or near Montana, based on data through water year 2015 (ver. 1.1, August 2020)

The USGS Wyoming-Montana Water Science Center (WYMT WSC) recently completed a report documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected streamgages...
By
Wyoming-Montana Water Science Center

Peak-Flow Frequency Analyses for Selected Streamgages in Missoula and Granite Counties, Montana, Based on Data through Water Year 2018 Peak-Flow Frequency Analyses for Selected Streamgages in Missoula and Granite Counties, Montana, Based on Data through Water Year 2018

The USGS Wyoming-Montana Water Science Center (WY?MT WSC) completed a report (Sando and McCarthy, 2018) documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected
By
Wyoming-Montana Water Science Center

Channel width measurements for selected streamgage sites in Montana Channel width measurements for selected streamgage sites in Montana

The WY-MT WSC conducted a study to develop regression equations for estimating peak-flow frequencies in Montana, using channel-width characteristics. Channel widths were measured in the field and from aerial photographs. This data release includes three child items: a table of field measurements, a table of measurements from aerial photographs, and a summary table of the data (field...
By
Wyoming-Montana Water Science Center
No results found.
Filter Total Items: 26

Evaluating the use of video cameras to estimate bridge scour potential at four bridges in southwestern Montana Evaluating the use of video cameras to estimate bridge scour potential at four bridges in southwestern Montana

The U.S. Geological Survey, in cooperation with the Montana Department of Transportation, installed cameras and large-scale particle image velocimetry (LSPIV) recording equipment at four sites where the U.S. Geological Survey and Montana Department of Transportation are monitoring bridge scour using other methods. Determination of stream velocities is an important component of hydraulic
Authors
Daniel W. Armstrong, Stephen R. Holnbeck, Katherine J. Chase
By
Water Resources Mission Area, Wyoming-Montana Water Science Center

Regional regression equations based on channel-width characteristics to estimate peak-flow frequencies at ungaged sites in Montana using peak-flow frequency data through water year 2011 Regional regression equations based on channel-width characteristics to estimate peak-flow frequencies at ungaged sites in Montana using peak-flow frequency data through water year 2011

The U.S. Geological Survey, in cooperation with the Montana Department of Transportation, developed regression equations based on channel width to estimate peak-flow frequencies at ungaged sites in Montana. The equations are based on peak-flow data at streamgages through September 2011 (end of water year 2011), and channel widths measured in the field and from aerial photographs. Active...
Authors
Katherine J. Chase, Roy Sando, Daniel W. Armstrong, Peter McCarthy
By
Water Resources Mission Area, Wyoming-Montana Water Science Center

Community for data integration 2018 funded project report Community for data integration 2018 funded project report

The U.S. Geological Survey Community for Data Integration annually funds small projects focusing on data integration for interdisciplinary research, innovative data management, and demonstration of new technologies. This report provides a summary of the 10 projects funded in fiscal year 2018, outlining their goals, activities, and accomplishments.
Authors
Leslie Hsu, Caitlin M. Andrews, John B. Bradford, Daniel D. Buscombe, Katherine J. Chase, Wesley M. Daniel, Jeanne M. Jones, Pam Fuller, Benjamin B. Mirus, Matthew E. Neilson, Hans W. Vraga, Jessica J. Walker, Dennis H. Walworth, Jonathan A. Warrick, Jake Weltzin, Daniel J. Wieferich, Nathan J. Wood
By
Ecosystems Mission Area, Science Synthesis, Analysis, and Research Program, Science Analytics and Synthesis (SAS), Community for Data Integration (CDI), Wetland and Aquatic Research Center , Science Data Management

Increased drought severity tracks warming in the United States’ largest river basin Increased drought severity tracks warming in the United States’ largest river basin

Across the Upper Missouri River Basin, the recent drought of 2000 to 2010, known as the “turn-of-the-century drought,” was likely more severe than any in the instrumental record including the Dust Bowl drought. However, until now, adequate proxy records needed to better understand this event with regard to long-term variability have been lacking. Here we examine 1,200 y of streamflow...
Authors
Justin T. Martin, Gregory T. Pederson, Connie A. Woodhouse, Edward R. Cook, Gregory J. McCabe, Kevin J. Anchukaitis, Erika K. Wise, Patrick Erger, Larry S. Dolan, Marketa McGuire, Subhrendu Gangopadhyay, Katherine J. Chase, Jeremy S. Littell, Stephen T. Gray, Scott St. George, Jonathan M. Friedman, David J. Sauchyn, Jeannine-Marie St. Jacques, John C. King
By
Ecosystems Mission Area, Ecosystems Land Change Science Program, John Wesley Powell Center for Analysis and Synthesis, Northern Rocky Mountain Science Center, Saline Lake Ecosystems Integrated Water Availability Assessment

1200 years of Upper Missouri River streamflow reconstructed from tree rings 1200 years of Upper Missouri River streamflow reconstructed from tree rings

Paleohydrologic records can provide unique, long-term perspectives on streamflow variability and hydroclimate for use in water resource planning. Such long-term records can also play a key role in placing both present day events and projected future conditions into a broader context than that offered by instrumental observations. However, relative to other major river basins across the...
Authors
Justin T. Martin, Gregory T. Pederson, Connie A. Woodhouse, Edward R Cook, Gregory J. McCabe, Erika K. Wise, Patrick Erger, Larry Dolan, Marketa McGuire, Subhrendu Gangopadhyay, Katherine J. Chase, Jeremy S. Littell, Stephen T. Gray, Scott St. George, Jonathan M. Friedman, David J. Sauchyn, Jannine St. Jacques, John W. King
By
Ecosystems Mission Area, Climate Adaptation Science Centers, Ecosystems Land Change Science Program, Fort Collins Science Center, Northern Rocky Mountain Science Center

Community for Data Integration 2016 annual report Community for Data Integration 2016 annual report

The Community for Data Integration (CDI) represents a dynamic community of practice focused on advancing science data and information management and integration capabilities across the U.S. Geological Survey and the CDI community. This annual report describes the various presentations, activities, and outcomes of the CDI monthly forums, working groups, virtual training series, and other...
Authors
Madison L. Langseth, Leslie Hsu, Jon Amberg, Norman Bliss, Andrew R. Bock, Rachel T. Bolus, R. Sky Bristol, Katherine J. Chase, Theresa M. Crimmins, Paul S. Earle, Richard Erickson, A. Lance Everette, Jeff T. Falgout, John Faundeen, Michael N. Fienen, Rusty Griffin, Michelle R. Guy, Kevin D. Henry, Nancy J. Hoebelheinrich, Randall J. Hunt, Vivian B. Hutchison, Drew A. Ignizio, Dana M. Infante, Catherine Jarnevich, Jeanne M. Jones, Tim Kern, Scott Leibowitz, Francis L. Lightsom, R. Lee Marsh, S. Grace McCalla, Marcia McNiff, Jeffrey T. Morisette, John C. Nelson, Tamar Norkin, Todd M. Preston, Alyssa Rosemartin, Roy Sando, Jason T. Sherba, Richard P. Signell, Benjamin M. Sleeter, Eric T. Sundquist, Colin B. Talbert, Roland J. Viger, Jake F. Weltzin, Sharon Waltman, Marc Weber, Daniel J. Wieferich, Brad Williams, Lisamarie Windham-Myers
By
Science Synthesis, Analysis, and Research Program, Science Analytics and Synthesis (SAS), Community for Data Integration (CDI), Earth Resources Observation and Science (EROS) Center , Science Data Management

Non-USGS Publications**

Chase, K.J., and Liou, John, 2007, Two-Dimensional Flow Modeling for a Flood Insurance Study in Montana, in 2007 Charting the Course, New Perspectives in Floodplain Management, Norfolk, Virginia, 2007, Proceedings: Madison, Wisconsin, American Society of Flood Plain Managers, http://www.floods.org/index.asp?menuid=%20675
Mastin, M.C., Chase, K.C., and Dudley, R.W., 2011, Changes in Spring Snowpack for Selected Basins in the United States for Different Climate-Change Scenarios, in Earth Interactions, vol. 15, p. 1-18, also available at http://journals.ametsoc.org/doi/abs/10.1175/2010EI368.1
NOROCK factsheet: Living on the Edge: Predicting Effects of Climate Change on Native Fishes in Northern Great Plains Streams, https://wy-mt.water.usgs.gov/projects/MT_fisheries/pubs/PP_FisheriesInfo_12V3.pdf

**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.

Science and Products

Ice jam on Little Wind River Ice jam on Little Wind River (06235500), February 2017. Streamgage destroyed soon after photo taken

Ice Jam Hazard

Ice jams along rivers cause flooding, scouring, injuries and loss of life, and structural and environmental damage; they are a major hazard across the northern United States. Communities need data about ice jam locations and frequencies, as well as information about developing ice jams that might threaten lives and property.
By
Wyoming-Montana Water Science Center
Ice Jam Hazard

Ice Jam Hazard

Ice jams along rivers cause flooding, scouring, injuries and loss of life, and structural and environmental damage; they are a major hazard across the northern United States. Communities need data about ice jam locations and frequencies, as well as information about developing ice jams that might threaten lives and property.
Learn More
June 2018 flooding along Elk Creek in Augusta, Montana

Augusta 2018 Flood Measurements and Flood Frequency Updates along the Rocky Mountain Front

The USGS WY-MT Water Science Center provided discharge measurements and high water mark (HWM) flagging for the June 2018 flooding along Elk Creek in Augusta, Montana.
By
Wyoming-Montana Water Science Center
Augusta 2018 Flood Measurements and Flood Frequency Updates along the Rocky Mountain Front

Augusta 2018 Flood Measurements and Flood Frequency Updates along the Rocky Mountain Front

The USGS WY-MT Water Science Center provided discharge measurements and high water mark (HWM) flagging for the June 2018 flooding along Elk Creek in Augusta, Montana.
Learn More
USGS science for a changing world logo

ICE! Ice Jam Hazard Mobile-Friendly Website

Ice jams are a major hazard. The project team worked with the US Army Corps of Engineers, National Weather Service, Silver Jackets, and USGS stakeholders to develop a mobile-friendly prototype of an Ice Jam Hazard website and reporting system. The prototype shows how ice jam conditions can be recorded nationwide. The public can view and download ice jam information. Historic ice jam...
By
Community for Data Integration (CDI)
ICE! Ice Jam Hazard Mobile-Friendly Website

ICE! Ice Jam Hazard Mobile-Friendly Website

Ice jams are a major hazard. The project team worked with the US Army Corps of Engineers, National Weather Service, Silver Jackets, and USGS stakeholders to develop a mobile-friendly prototype of an Ice Jam Hazard website and reporting system. The prototype shows how ice jam conditions can be recorded nationwide. The public can view and download ice jam information. Historic ice jam locations and
Learn More
Water bursts over the banks of the Lamar River and Soda Butte Creek in Yellowstone National Park during the 2022 floods.

StreamStats in Montana and Wyoming

StreamStats is a digital, map-based tool designed to provide information about streamflow and the upstream watershed of any selected point on a stream. The tool can assist in water resources planning and management and support engineering and design projects. StreamStats is available in both Montana and Wyoming.
By
Wyoming-Montana Water Science Center
StreamStats in Montana and Wyoming

StreamStats in Montana and Wyoming

StreamStats is a digital, map-based tool designed to provide information about streamflow and the upstream watershed of any selected point on a stream. The tool can assist in water resources planning and management and support engineering and design projects. StreamStats is available in both Montana and Wyoming.
Learn More
O'Fallon Creek near Mildred, Montana

Living on the Edge: Predicting Effects of Climate Change on Native Fishes in Northern Great Plains Streams

Organisms that live in the semi-arid prairies in the Northern Great Plains are able to live through conditions of extreme heat, cold, floods, and drought. The fish that inhabit the warm, turbid waters of northern Great Plains streams are indicators of change in these delicate ecosystems, where water quantity and water quality are often precariously close to ecological tolerance limits. In fact...
By
Wyoming-Montana Water Science Center
Living on the Edge: Predicting Effects of Climate Change on Native Fishes in Northern Great Plains Streams

Living on the Edge: Predicting Effects of Climate Change on Native Fishes in Northern Great Plains Streams

Organisms that live in the semi-arid prairies in the Northern Great Plains are able to live through conditions of extreme heat, cold, floods, and drought. The fish that inhabit the warm, turbid waters of northern Great Plains streams are indicators of change in these delicate ecosystems, where water quantity and water quality are often precariously close to ecological tolerance limits. In fact...
Learn More
USGS science for a changing world logo

Development of Recommended Practices and Workflow for Publishing Digital Data through ScienceBase for Dynamic Visualization

The purpose of this project was to document processes for USGS scientists to organize and share data using ScienceBase, and to provide an example interactive mapping application to display those data. Data and maps from Chase and others (2016a, b) were used for the example interactive maps. Principal Investigator : Katherine J Chase, Andy Bock, Thomas R Sando Accomplishments The
By
Community for Data Integration (CDI)
Development of Recommended Practices and Workflow for Publishing Digital Data through ScienceBase for Dynamic Visualization

Development of Recommended Practices and Workflow for Publishing Digital Data through ScienceBase for Dynamic Visualization

The purpose of this project was to document processes for USGS scientists to organize and share data using ScienceBase, and to provide an example interactive mapping application to display those data. Data and maps from Chase and others (2016a, b) were used for the example interactive maps. Principal Investigator : Katherine J Chase, Andy Bock, Thomas R Sando Accomplishments The
Learn More
Filter Total Items: 14

Attributions for nonstationary peak streamflow records across the conterminous United States, 1941-2015 and 1966-2015 Attributions for nonstationary peak streamflow records across the conterminous United States, 1941-2015 and 1966-2015

The U.S. Geological Survey Dakota Water Science Center, in cooperation with the Federal Highway Administration, analyzed annual peak-flow data to determine if trends are present and provide attribution of trends where possible. Work for the national trend attributions for nonstationary annual peak-flow records was broken into seven regions that are loosely based off of two-digit...
By
Dakota Water Science Center

Peak-flow frequency analyses for selected streamgages in Carbon County, Montana, based on data through water year 2018 Peak-flow frequency analyses for selected streamgages in Carbon County, Montana, based on data through water year 2018

The USGS Wyoming-Montana Water Science Center (WY-MT WSC) documented (Sando and McCarthy, 2018) methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected streamgages...
By
Wyoming-Montana Water Science Center

Peak-flow frequency analyses for 14 selected streamgages in the Beaverhead River and Clark Fork Basins Montana, based on data through water year 2016 Peak-flow frequency analyses for 14 selected streamgages in the Beaverhead River and Clark Fork Basins Montana, based on data through water year 2016

The USGS Wyoming-Montana Water Science Center (WY-MT WSC) recently completed a report (Sando and McCarthy, 2018) documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for...
By
Wyoming-Montana Water Science Center

Peak-flow frequency analyses for 99 selected streamgages in or near Montana, based on data through water year 2015 (ver. 1.1, August 2020) Peak-flow frequency analyses for 99 selected streamgages in or near Montana, based on data through water year 2015 (ver. 1.1, August 2020)

The USGS Wyoming-Montana Water Science Center (WYMT WSC) recently completed a report documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected streamgages...
By
Wyoming-Montana Water Science Center

Peak-Flow Frequency Analyses for Selected Streamgages in Missoula and Granite Counties, Montana, Based on Data through Water Year 2018 Peak-Flow Frequency Analyses for Selected Streamgages in Missoula and Granite Counties, Montana, Based on Data through Water Year 2018

The USGS Wyoming-Montana Water Science Center (WY?MT WSC) completed a report (Sando and McCarthy, 2018) documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected
By
Wyoming-Montana Water Science Center

Channel width measurements for selected streamgage sites in Montana Channel width measurements for selected streamgage sites in Montana

The WY-MT WSC conducted a study to develop regression equations for estimating peak-flow frequencies in Montana, using channel-width characteristics. Channel widths were measured in the field and from aerial photographs. This data release includes three child items: a table of field measurements, a table of measurements from aerial photographs, and a summary table of the data (field...
By
Wyoming-Montana Water Science Center
No results found.
Filter Total Items: 26

Evaluating the use of video cameras to estimate bridge scour potential at four bridges in southwestern Montana Evaluating the use of video cameras to estimate bridge scour potential at four bridges in southwestern Montana

The U.S. Geological Survey, in cooperation with the Montana Department of Transportation, installed cameras and large-scale particle image velocimetry (LSPIV) recording equipment at four sites where the U.S. Geological Survey and Montana Department of Transportation are monitoring bridge scour using other methods. Determination of stream velocities is an important component of hydraulic
Authors
Daniel W. Armstrong, Stephen R. Holnbeck, Katherine J. Chase
By
Water Resources Mission Area, Wyoming-Montana Water Science Center

Regional regression equations based on channel-width characteristics to estimate peak-flow frequencies at ungaged sites in Montana using peak-flow frequency data through water year 2011 Regional regression equations based on channel-width characteristics to estimate peak-flow frequencies at ungaged sites in Montana using peak-flow frequency data through water year 2011

The U.S. Geological Survey, in cooperation with the Montana Department of Transportation, developed regression equations based on channel width to estimate peak-flow frequencies at ungaged sites in Montana. The equations are based on peak-flow data at streamgages through September 2011 (end of water year 2011), and channel widths measured in the field and from aerial photographs. Active...
Authors
Katherine J. Chase, Roy Sando, Daniel W. Armstrong, Peter McCarthy
By
Water Resources Mission Area, Wyoming-Montana Water Science Center

Community for data integration 2018 funded project report Community for data integration 2018 funded project report

The U.S. Geological Survey Community for Data Integration annually funds small projects focusing on data integration for interdisciplinary research, innovative data management, and demonstration of new technologies. This report provides a summary of the 10 projects funded in fiscal year 2018, outlining their goals, activities, and accomplishments.
Authors
Leslie Hsu, Caitlin M. Andrews, John B. Bradford, Daniel D. Buscombe, Katherine J. Chase, Wesley M. Daniel, Jeanne M. Jones, Pam Fuller, Benjamin B. Mirus, Matthew E. Neilson, Hans W. Vraga, Jessica J. Walker, Dennis H. Walworth, Jonathan A. Warrick, Jake Weltzin, Daniel J. Wieferich, Nathan J. Wood
By
Ecosystems Mission Area, Science Synthesis, Analysis, and Research Program, Science Analytics and Synthesis (SAS), Community for Data Integration (CDI), Wetland and Aquatic Research Center , Science Data Management

Increased drought severity tracks warming in the United States’ largest river basin Increased drought severity tracks warming in the United States’ largest river basin

Across the Upper Missouri River Basin, the recent drought of 2000 to 2010, known as the “turn-of-the-century drought,” was likely more severe than any in the instrumental record including the Dust Bowl drought. However, until now, adequate proxy records needed to better understand this event with regard to long-term variability have been lacking. Here we examine 1,200 y of streamflow...
Authors
Justin T. Martin, Gregory T. Pederson, Connie A. Woodhouse, Edward R. Cook, Gregory J. McCabe, Kevin J. Anchukaitis, Erika K. Wise, Patrick Erger, Larry S. Dolan, Marketa McGuire, Subhrendu Gangopadhyay, Katherine J. Chase, Jeremy S. Littell, Stephen T. Gray, Scott St. George, Jonathan M. Friedman, David J. Sauchyn, Jeannine-Marie St. Jacques, John C. King
By
Ecosystems Mission Area, Ecosystems Land Change Science Program, John Wesley Powell Center for Analysis and Synthesis, Northern Rocky Mountain Science Center, Saline Lake Ecosystems Integrated Water Availability Assessment

1200 years of Upper Missouri River streamflow reconstructed from tree rings 1200 years of Upper Missouri River streamflow reconstructed from tree rings

Paleohydrologic records can provide unique, long-term perspectives on streamflow variability and hydroclimate for use in water resource planning. Such long-term records can also play a key role in placing both present day events and projected future conditions into a broader context than that offered by instrumental observations. However, relative to other major river basins across the...
Authors
Justin T. Martin, Gregory T. Pederson, Connie A. Woodhouse, Edward R Cook, Gregory J. McCabe, Erika K. Wise, Patrick Erger, Larry Dolan, Marketa McGuire, Subhrendu Gangopadhyay, Katherine J. Chase, Jeremy S. Littell, Stephen T. Gray, Scott St. George, Jonathan M. Friedman, David J. Sauchyn, Jannine St. Jacques, John W. King
By
Ecosystems Mission Area, Climate Adaptation Science Centers, Ecosystems Land Change Science Program, Fort Collins Science Center, Northern Rocky Mountain Science Center

Community for Data Integration 2016 annual report Community for Data Integration 2016 annual report

The Community for Data Integration (CDI) represents a dynamic community of practice focused on advancing science data and information management and integration capabilities across the U.S. Geological Survey and the CDI community. This annual report describes the various presentations, activities, and outcomes of the CDI monthly forums, working groups, virtual training series, and other...
Authors
Madison L. Langseth, Leslie Hsu, Jon Amberg, Norman Bliss, Andrew R. Bock, Rachel T. Bolus, R. Sky Bristol, Katherine J. Chase, Theresa M. Crimmins, Paul S. Earle, Richard Erickson, A. Lance Everette, Jeff T. Falgout, John Faundeen, Michael N. Fienen, Rusty Griffin, Michelle R. Guy, Kevin D. Henry, Nancy J. Hoebelheinrich, Randall J. Hunt, Vivian B. Hutchison, Drew A. Ignizio, Dana M. Infante, Catherine Jarnevich, Jeanne M. Jones, Tim Kern, Scott Leibowitz, Francis L. Lightsom, R. Lee Marsh, S. Grace McCalla, Marcia McNiff, Jeffrey T. Morisette, John C. Nelson, Tamar Norkin, Todd M. Preston, Alyssa Rosemartin, Roy Sando, Jason T. Sherba, Richard P. Signell, Benjamin M. Sleeter, Eric T. Sundquist, Colin B. Talbert, Roland J. Viger, Jake F. Weltzin, Sharon Waltman, Marc Weber, Daniel J. Wieferich, Brad Williams, Lisamarie Windham-Myers
By
Science Synthesis, Analysis, and Research Program, Science Analytics and Synthesis (SAS), Community for Data Integration (CDI), Earth Resources Observation and Science (EROS) Center , Science Data Management

Non-USGS Publications**

Chase, K.J., and Liou, John, 2007, Two-Dimensional Flow Modeling for a Flood Insurance Study in Montana, in 2007 Charting the Course, New Perspectives in Floodplain Management, Norfolk, Virginia, 2007, Proceedings: Madison, Wisconsin, American Society of Flood Plain Managers, http://www.floods.org/index.asp?menuid=%20675
Mastin, M.C., Chase, K.C., and Dudley, R.W., 2011, Changes in Spring Snowpack for Selected Basins in the United States for Different Climate-Change Scenarios, in Earth Interactions, vol. 15, p. 1-18, also available at http://journals.ametsoc.org/doi/abs/10.1175/2010EI368.1
NOROCK factsheet: Living on the Edge: Predicting Effects of Climate Change on Native Fishes in Northern Great Plains Streams, https://wy-mt.water.usgs.gov/projects/MT_fisheries/pubs/PP_FisheriesInfo_12V3.pdf

**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.

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