Harper N Wavra

Peak-flow frequency analysis is crucial in various water-resources management applications, including floodplain management and critical structure design. Federal guidelines for peak-flow frequency analyses, provided in Bulletin 17C, assume that the statistical properties of the hydrologic processes driving variability in peak flows do not change over time and so the frequency distribution of annual peak flows is stationary. Better understanding of long-term climatic persistence and further consideration of potential climate and land-use changes have caused the assumption of stationarity to be reexamined. This data release contains input data and results of a study investigating hydroclimatic trends in peak streamflow...

Tags: Climatology, Hydrology, Illinois, Iowa, Michigan, All tags... Minnesota, Missouri, Montana, North Dakota, South Dakota, USGS Science Data Catalog (SDC), United States, Water Resources, Wisconsin, climate change, climatology, climatologyMeteorologyAtmosphere, environment, floods, geoscientificInformation, hydrology, inlandWaters, regression analysis, river systems, stream discharge, streamflow, surface water (non-marine), Fewer tags

Peak Streamflow Data, Climate Data, and Results from Investigating Hydroclimatic Trends and Climate Change Effects on Peak Streamflow in the Central United States, 1921–2020 (Climate Data)

Peak-flow frequency analysis is crucial in various water-resources management applications, including floodplain management and critical structure design. Federal guidelines for peak-flow frequency analyses, provided in Bulletin 17C, assume that the statistical properties of the hydrologic processes driving variability in peak flows do not change over time and so the frequency distribution of annual peak flows is stationary. Better understanding of long-term climatic persistence and further consideration of potential climate and land-use changes have caused the assumption of stationarity to be reexamined. This data release contains input and results of a study investigating hydroclimatic trends in peak streamflow...

Tags: Illinois, Iowa, Michigan, Minnesota, Missouri, All tags... Montana, North Dakota, South Dakota, United States, Wisconsin, climate change, climatology, climatologyMeteorologyAtmosphere, floods, geoscientificInformation, hydrology, inlandWaters, regression analysis, river systems, stream discharge, streamflow, surface water (non-marine), Fewer tags

Peak Streamflow Data, Climate Data, and Results from Investigating Hydroclimatic Trends and Climate Change Effects on Peak Streamflow in the Central United States, 1921–2020 (Peak Streamflow Data)

Peak-flow frequency analysis is crucial in various water-resources management applications, including floodplain management and critical structure design. Federal guidelines for peak-flow frequency analyses, provided in Bulletin 17C, assume that the statistical properties of the hydrologic processes driving variability in peak flows do not change over time and so the frequency distribution of annual peak flows is stationary. Better understanding of long-term climatic persistence and further consideration of potential climate and land-use changes have caused the assumption of stationarity to be reexamined. This data release contains input data and results of a study investigating hydroclimatic trends in peak streamflow...

Tags: Illinois, Iowa, Michigan, Minnesota, Missouri, All tags... Montana, North Dakota, South Dakota, United States, Wisconsin, climate change, climatology, climatologyMeteorologyAtmosphere, floods, geoscientificInformation, hydrology, inlandWaters, regression analysis, river systems, stream discharge, streamflow, surface water (non-marine), Fewer tags