Julie E. Kiang
Julie E. Kiang, Deputy Regional Director
Science and Products
Filter Total Items: 31
Improving predictions of hydrological low-flow indices in ungaged basins using machine learning
We compare the ability of eight machine-learning models (elastic net, gradient boosting, kernel-k-nearest neighbors, two variants of support vector machines, M5-cubist, random forest, and a meta-learning ensemble M5-cubist model) and four baseline models (ordinary kriging, a unit area discharge model, and two variants of censored regression) to generate estimates of the annual minimum 7-day mean s
Authors
Scott C. Worland, William H. Farmer, Julie E. Kiang
Guidelines for determining flood flow frequency — Bulletin 17C
Accurate estimates of flood frequency and magnitude are a key component of any effective nationwide flood risk management and flood damage abatement program. In addition to accuracy, methods for estimating flood risk must be uniformly and consistently applied because management of the Nation’s water and related land resources is a collaborative effort involving multiple actors including most level
Authors
John F. England, Timothy A. Cohn, Beth A. Faber, Jery R. Stedinger, Wilbert O. Thomas, Andrea G. Veilleux, Julie E. Kiang, Robert R. Mason,
Application of at-site peak-streamflow frequency analyses for very low annual exceedance probabilities
The U.S. Geological Survey (USGS), in cooperation with the U.S. Nuclear Regulatory Commission, has investigated statistical methods for probabilistic flood hazard assessment to provide guidance on very low annual exceedance probability (AEP) estimation of peak-streamflow frequency and the quantification of corresponding uncertainties using streamgage-specific data. The term “very low AEP” implies
Authors
William H. Asquith, Julie E. Kiang, Timothy A. Cohn
How uncertainty analysis of streamflow data can reduce costs and promote robust decisions in water management applications
Streamflow data are used for important environmental and economic decisions, such as specifying and regulating minimum flows, managing water supplies, and planning for flood hazards. Despite significant uncertainty in most flow data, the flow series for these applications are often communicated and used without uncertainty information. In this commentary, we argue that proper analysis of uncertain
Authors
Hilary McMilan, Jan Seibert, Asgeir Petersen‐Øverleir, Michel Lang, Paul White, Ton Snelder, Kit Rutherford, Tobias Krueger, Robert R. Mason,, Julie E. Kiang
A survey of uncertainty in stage-discharge rating curves and streamflow records in the United States
No abstract available.
Authors
Julie E. Kiang, Robert R. Mason,, Timothy A. Cohn
Rating curve uncertainty: A comparison of estimation methods
The USGS is engaged in both internal development and collaborative efforts to evaluate existing methods for characterizing the uncertainty of streamflow measurements (gaugings), stage-discharge relations (ratings), and, ultimately, the streamflow records derived from them. This paper provides a brief overview of two candidate methods that may be used to characterize the uncertainty of ratings, and
Authors
Robert R. Mason,, Julie E. Kiang, Timothy A. Cohn
Accelerating advances in continental domain hydrologic modeling
In the past, hydrologic modeling of surface water resources has mainly focused on simulating the hydrologic cycle at local to regional catchment modeling domains. There now exists a level of maturity among the catchment, global water security, and land surface modeling communities such that these communities are converging toward continental domain hydrologic models. This commentary, written from
Authors
Stacey A. Archfield, Martyn Clark, Berit Arheimer, Lauren E. Hay, Hilary McMillan, Julie E. Kiang, Jan Seibert, Kirsti Hakala, Andrew R. Bock, Thorsten Wagener, William H. Farmer, Vazken Andreassian, Sabine Attinger, Alberto Viglione, Rodney Knight, Steven L. Markstrom, Thomas M. Over
Evaluation of statistical and rainfall-runoff models for predicting historical daily streamflow time series in the Des Moines and Iowa River watersheds
Daily records of streamflow are essential to understanding hydrologic systems and managing the interactions between human and natural systems. Many watersheds and locations lack streamgages to provide accurate and reliable records of daily streamflow. In such ungaged watersheds, statistical tools and rainfall-runoff models are used to estimate daily streamflow. Previous work compared 19 different
Authors
William H. Farmer, Rodney R. Knight, David A. Eash, Kasey J. Hutchinson, S. Mike Linhart, Daniel E. Christiansen, Stacey A. Archfield, Thomas M. Over, Julie E. Kiang
A comparison of methods to predict historical daily streamflow time series in the southeastern United States
Effective and responsible management of water resources relies on a thorough understanding of the quantity and quality of available water. Streamgages cannot be installed at every location where streamflow information is needed. As part of its National Water Census, the U.S. Geological Survey is planning to provide streamflow predictions for ungaged locations. In order to predict streamflow at a u
Authors
William H. Farmer, Stacey A. Archfield, Thomas M. Over, Lauren E. Hay, Jacob H. LaFontaine, Julie E. Kiang
A comparison of hydrologic models for ecological flows and water availability
Robust hydrologic models are needed to help manage water resources for healthy aquatic ecosystems and reliable water supplies for people, but there is a lack of comprehensive model comparison studies that quantify differences in streamflow predictions among model applications developed to answer management questions. We assessed differences in daily streamflow predictions by four fine-scale models
Authors
Peter V Caldwell, Jonathan Kennen, Ge Sun, Julie E. Kiang, John B Butcher, Michelle C Eddy, Lauren E. Hay, Jacob H. LaFontaine, Ernie F. Hain, Stacy C Nelson, Steve G McNulty
A national streamflow network gap analysis
The U.S. Geological Survey (USGS) conducted a gap analysis to evaluate how well the USGS streamgage network meets a variety of needs, focusing on the ability to calculate various statistics at locations that have streamgages (gaged) and that do not have streamgages (ungaged). This report presents the results of analysis to determine where there are gaps in the network of gaged locations, how accur
Authors
Julie E. Kiang, David W. Stewart, Stacey A. Archfield, Emily B. Osborne, Ken Eng
Progress toward establishing a national assessment of water availability and use
The Omnibus Public Land Management Act of 2009 (Public Law 111-11) was passed into law on March 30, 2009. Subtitle F, also known as the SECURE Water Act, calls for the establishment of a "national water availability and use assessment program" within the U.S. Geological Survey (USGS). A major driver for this recommendation was that national water availability and use have not been comprehensively
Authors
William M. Alley, Eric J. Evenson, Nancy L. Barber, Breton W. Bruce, Kevin F. Dennehy, Mary Freeman, Ward O. Freeman, Jeffrey M. Fischer, William B. Hughes, Jonathan Kennen, Julie E. Kiang, Kelly O. Maloney, MaryLynn Musgrove, Barbara E. Ralston, Steven Tessler, James P. Verdin
Science and Products
Filter Total Items: 31
Improving predictions of hydrological low-flow indices in ungaged basins using machine learning
We compare the ability of eight machine-learning models (elastic net, gradient boosting, kernel-k-nearest neighbors, two variants of support vector machines, M5-cubist, random forest, and a meta-learning ensemble M5-cubist model) and four baseline models (ordinary kriging, a unit area discharge model, and two variants of censored regression) to generate estimates of the annual minimum 7-day mean s
Authors
Scott C. Worland, William H. Farmer, Julie E. Kiang
Guidelines for determining flood flow frequency — Bulletin 17C
Accurate estimates of flood frequency and magnitude are a key component of any effective nationwide flood risk management and flood damage abatement program. In addition to accuracy, methods for estimating flood risk must be uniformly and consistently applied because management of the Nation’s water and related land resources is a collaborative effort involving multiple actors including most level
Authors
John F. England, Timothy A. Cohn, Beth A. Faber, Jery R. Stedinger, Wilbert O. Thomas, Andrea G. Veilleux, Julie E. Kiang, Robert R. Mason,
Application of at-site peak-streamflow frequency analyses for very low annual exceedance probabilities
The U.S. Geological Survey (USGS), in cooperation with the U.S. Nuclear Regulatory Commission, has investigated statistical methods for probabilistic flood hazard assessment to provide guidance on very low annual exceedance probability (AEP) estimation of peak-streamflow frequency and the quantification of corresponding uncertainties using streamgage-specific data. The term “very low AEP” implies
Authors
William H. Asquith, Julie E. Kiang, Timothy A. Cohn
How uncertainty analysis of streamflow data can reduce costs and promote robust decisions in water management applications
Streamflow data are used for important environmental and economic decisions, such as specifying and regulating minimum flows, managing water supplies, and planning for flood hazards. Despite significant uncertainty in most flow data, the flow series for these applications are often communicated and used without uncertainty information. In this commentary, we argue that proper analysis of uncertain
Authors
Hilary McMilan, Jan Seibert, Asgeir Petersen‐Øverleir, Michel Lang, Paul White, Ton Snelder, Kit Rutherford, Tobias Krueger, Robert R. Mason,, Julie E. Kiang
A survey of uncertainty in stage-discharge rating curves and streamflow records in the United States
No abstract available.
Authors
Julie E. Kiang, Robert R. Mason,, Timothy A. Cohn
Rating curve uncertainty: A comparison of estimation methods
The USGS is engaged in both internal development and collaborative efforts to evaluate existing methods for characterizing the uncertainty of streamflow measurements (gaugings), stage-discharge relations (ratings), and, ultimately, the streamflow records derived from them. This paper provides a brief overview of two candidate methods that may be used to characterize the uncertainty of ratings, and
Authors
Robert R. Mason,, Julie E. Kiang, Timothy A. Cohn
Accelerating advances in continental domain hydrologic modeling
In the past, hydrologic modeling of surface water resources has mainly focused on simulating the hydrologic cycle at local to regional catchment modeling domains. There now exists a level of maturity among the catchment, global water security, and land surface modeling communities such that these communities are converging toward continental domain hydrologic models. This commentary, written from
Authors
Stacey A. Archfield, Martyn Clark, Berit Arheimer, Lauren E. Hay, Hilary McMillan, Julie E. Kiang, Jan Seibert, Kirsti Hakala, Andrew R. Bock, Thorsten Wagener, William H. Farmer, Vazken Andreassian, Sabine Attinger, Alberto Viglione, Rodney Knight, Steven L. Markstrom, Thomas M. Over
Evaluation of statistical and rainfall-runoff models for predicting historical daily streamflow time series in the Des Moines and Iowa River watersheds
Daily records of streamflow are essential to understanding hydrologic systems and managing the interactions between human and natural systems. Many watersheds and locations lack streamgages to provide accurate and reliable records of daily streamflow. In such ungaged watersheds, statistical tools and rainfall-runoff models are used to estimate daily streamflow. Previous work compared 19 different
Authors
William H. Farmer, Rodney R. Knight, David A. Eash, Kasey J. Hutchinson, S. Mike Linhart, Daniel E. Christiansen, Stacey A. Archfield, Thomas M. Over, Julie E. Kiang
A comparison of methods to predict historical daily streamflow time series in the southeastern United States
Effective and responsible management of water resources relies on a thorough understanding of the quantity and quality of available water. Streamgages cannot be installed at every location where streamflow information is needed. As part of its National Water Census, the U.S. Geological Survey is planning to provide streamflow predictions for ungaged locations. In order to predict streamflow at a u
Authors
William H. Farmer, Stacey A. Archfield, Thomas M. Over, Lauren E. Hay, Jacob H. LaFontaine, Julie E. Kiang
A comparison of hydrologic models for ecological flows and water availability
Robust hydrologic models are needed to help manage water resources for healthy aquatic ecosystems and reliable water supplies for people, but there is a lack of comprehensive model comparison studies that quantify differences in streamflow predictions among model applications developed to answer management questions. We assessed differences in daily streamflow predictions by four fine-scale models
Authors
Peter V Caldwell, Jonathan Kennen, Ge Sun, Julie E. Kiang, John B Butcher, Michelle C Eddy, Lauren E. Hay, Jacob H. LaFontaine, Ernie F. Hain, Stacy C Nelson, Steve G McNulty
A national streamflow network gap analysis
The U.S. Geological Survey (USGS) conducted a gap analysis to evaluate how well the USGS streamgage network meets a variety of needs, focusing on the ability to calculate various statistics at locations that have streamgages (gaged) and that do not have streamgages (ungaged). This report presents the results of analysis to determine where there are gaps in the network of gaged locations, how accur
Authors
Julie E. Kiang, David W. Stewart, Stacey A. Archfield, Emily B. Osborne, Ken Eng
Progress toward establishing a national assessment of water availability and use
The Omnibus Public Land Management Act of 2009 (Public Law 111-11) was passed into law on March 30, 2009. Subtitle F, also known as the SECURE Water Act, calls for the establishment of a "national water availability and use assessment program" within the U.S. Geological Survey (USGS). A major driver for this recommendation was that national water availability and use have not been comprehensively
Authors
William M. Alley, Eric J. Evenson, Nancy L. Barber, Breton W. Bruce, Kevin F. Dennehy, Mary Freeman, Ward O. Freeman, Jeffrey M. Fischer, William B. Hughes, Jonathan Kennen, Julie E. Kiang, Kelly O. Maloney, MaryLynn Musgrove, Barbara E. Ralston, Steven Tessler, James P. Verdin