Stacey A Archfield
My current research is focused on understanding hydrologic change for water resources applications. I also maintain an interest in the use of statistical approaches to characterize hydrologic information at unmonitored locations.
EDITORIAL BOARDS
- Co-Editor, Hydrologic Sciences Journal (2018-Present)
- Associate Editor, Water Resources Research (2017-Present)
- Editor, Hydrology and Earth System Sciences (2012-Present)
EDUCATION
- Doctor of Philosophy, Civil and Environmental Engineering, Tufts University, 2009
- Master of Science, Geosystems, Massachusetts Institute of Technology, 2001
- Bachelor of Science, Geology, Northeastern University, 1999 (Minor in Mathematics)
PROFESSIONAL APPOINTMENTS
- U.S. Geological Survey, Integrated Modeling and Prediction Division. Research Hydrologist, 2017-Present
- U.S. Geological Survey, National Research Program (Dissolved in 2017). Research Hydrologist, 2013-2017
- U.S. Geological Survey, Massachusetts-Rhode Island Water Science Center
- Research Hydrologist, 2008-2013
- Hydrologist (Project Chief), 2004-2008
- Hydrologist, 1998-2004
- Tufts University, Department of Civil and Environmental Engineering. Research Assistant, 2004-2009
- Massachusetts Institute of Technology, Earth Resources Laboratory. Research Assistant, 2001
- Harvard-Smithsonian Center for Astrophysics, Space Geodesy Group. Research Associate, 1999
VISITING APPOINTMENTS
- University of Bristol, College of Engineering, United Kingdom, March-April 2013
- Vienna University of Technology, Department of Hydrology and Water Resources Management, Austria, April-May 2013
HONORS AND AWARDS
- 2014 Editors’ Citation for Excellence in Refereeing for Water Resources Research (2015)
- Archfield and Vogel [2010] paper featured in the EOS Research Spotlight. Papers featured in the Research Spotlight are selected by the editors of the 18 journals published by the American Geophysical Union. Only 3 to 4 papers are selected bi-weekly to be featured. (2011)
- Hirsch, Moyer and Archfield [2010] paper selected as one of four finalists for the William R. Boggess Award. This award is given to a paper published in the Journal of the American Water Resources Association that best describes, delineates, or analyzes a major problem or aspect of water resources from either a theoretical, applied, or philosophical standpoint. (2011)
- Selected to deliver the 2010 U.S. Geological Survey Chief Hydrologist Seminar (2010)
- Outstanding Student Paper Award, American Geophysical Union Fall Meeting (2009)
- Tufts University Civil & Environmental Engineering Department Littleton Professional Promise Award (2009)
- Northeastern University Student Commencement Speaker (1999)
- Northeastern University Student Body President (1997-1998)
Science and Products
Filter Total Items: 39
Panel regressions to estimate low-flow response to rainfall variability in ungaged basins
Multicollinearity and omitted-variable bias are major limitations to developing multiple linear regression models to estimate streamflow characteristics in ungaged areas and varying rainfall conditions. Panel regression is used to overcome limitations of traditional regression methods, and obtain reliable model coefficients, in particular to understand the elasticity of streamflow to rainfall. Usi
Authors
Maoya Bassiouni, Richard M. Vogel, Stacey A. Archfield
Fragmented patterns of flood change across the United States
Trends in the peak magnitude, frequency, duration, and volume of frequent floods (floods occurring at an average of two events per year relative to a base period) across the United States show large changes; however, few trends are found to be statistically significant. The multidimensional behavior of flood change across the United States can be described by four distinct groups, with streamgages
Authors
Stacey A. Archfield, Robert M. Hirsch, A. Viglione, G. Blöschl
Urban base flow with low impact development
A novel form of urbanization, low impact development (LID), aims to engineer systems that replicate natural hydrologic functioning, in part by infiltrating stormwater close to the impervious surfaces that generate it. We sought to statistically evaluate changes in a base flow regime because of urbanization with LID, specifically changes in base flow magnitude, seasonality, and rate of change. We u
Authors
Aditi Bhaskar, Dianna M. Hogan, Stacey A. Archfield
Regional flow duration curves: Geostatistical techniques versus multivariate regression
A period-of-record flow duration curve (FDC) represents the relationship between the magnitude and frequency of daily streamflows. Prediction of FDCs is of great importance for locations characterized by sparse or missing streamflow observations. We present a detailed comparison of two methods which are capable of predicting an FDC at ungauged basins: (1) an adaptation of the geostatistical method
Authors
Alessio Pugliese, William H. Farmer, Attilio Castellarin, Stacey A. Archfield, Richard M. Vogel
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
A bootstrap method for estimating uncertainty of water quality trends
Estimation of the direction and magnitude of trends in surface water quality remains a problem of great scientific and practical interest. The Weighted Regressions on Time, Discharge, and Season (WRTDS) method was recently introduced as an exploratory data analysis tool to provide flexible and robust estimates of water quality trends. This paper enhances the WRTDS method through the introduction o
Authors
Robert M. Hirsch, Stacey A. Archfield, Laura A. DeCicco
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
Flood trends: Not higher but more often
Heavy precipitation has increased worldwide, but the effect of this on flood magnitude has been difficult to pinpoint. An alternative approach to analysing records shows that, in the central United States, floods have become more frequent but not larger.
Authors
Robert M. Hirsch, Stacey A. Archfield
An objective and parsimonious approach for classifying natural flow regimes at a continental scale
Hydro-ecological stream classification-the process of grouping streams by similar hydrologic responses and, by extension, similar aquatic habitat-has been widely accepted and is considered by some to be one of the first steps towards developing ecological flow targets. A new classification of 1543 streamgauges in the contiguous USA is presented by use of a novel and parsimonious approach to unders
Authors
Stacey A. Archfield, Jonathan Kennen, Daren Carlisle, David M. Wolock
Identifying dominant controls on hydrologic parameter transfer from gauged to ungauged catchments: a comparative hydrology approach
Daily streamflow information is critical for solving various hydrologic problems, though observations of continuous streamflow for model calibration are available at only a small fraction of the world’s rivers. One approach to estimate daily streamflow at an ungauged location is to transfer rainfall–runoff model parameters calibrated at a gauged (donor) catchment to an ungauged (receiver) catchmen
Authors
R. Singh, S.A. Archfield, T. Wagener
Comparison between two statistically based methods, and two physically based models developed to compute daily mean streamflow at ungaged locations in the Cedar River Basin, Iowa
A variety of individuals from water resource managers to recreational users need streamflow information for planning and decisionmaking at locations where there are no streamgages. To address this problem, two statistically based methods, the Flow Duration Curve Transfer method and the Flow Anywhere method, were developed for statewide application and the two physically based models, the Precipita
Authors
S. Mike Linhart, Jon F. Nania, Daniel E. Christiansen, Kasey J. Hutchinson, Curtis L. Sanders, Stacey A. Archfield
Science and Products
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- Publications
Filter Total Items: 39
Panel regressions to estimate low-flow response to rainfall variability in ungaged basins
Multicollinearity and omitted-variable bias are major limitations to developing multiple linear regression models to estimate streamflow characteristics in ungaged areas and varying rainfall conditions. Panel regression is used to overcome limitations of traditional regression methods, and obtain reliable model coefficients, in particular to understand the elasticity of streamflow to rainfall. UsiAuthorsMaoya Bassiouni, Richard M. Vogel, Stacey A. ArchfieldFragmented patterns of flood change across the United States
Trends in the peak magnitude, frequency, duration, and volume of frequent floods (floods occurring at an average of two events per year relative to a base period) across the United States show large changes; however, few trends are found to be statistically significant. The multidimensional behavior of flood change across the United States can be described by four distinct groups, with streamgagesAuthorsStacey A. Archfield, Robert M. Hirsch, A. Viglione, G. BlöschlUrban base flow with low impact development
A novel form of urbanization, low impact development (LID), aims to engineer systems that replicate natural hydrologic functioning, in part by infiltrating stormwater close to the impervious surfaces that generate it. We sought to statistically evaluate changes in a base flow regime because of urbanization with LID, specifically changes in base flow magnitude, seasonality, and rate of change. We uAuthorsAditi Bhaskar, Dianna M. Hogan, Stacey A. ArchfieldRegional flow duration curves: Geostatistical techniques versus multivariate regression
A period-of-record flow duration curve (FDC) represents the relationship between the magnitude and frequency of daily streamflows. Prediction of FDCs is of great importance for locations characterized by sparse or missing streamflow observations. We present a detailed comparison of two methods which are capable of predicting an FDC at ungauged basins: (1) an adaptation of the geostatistical methodAuthorsAlessio Pugliese, William H. Farmer, Attilio Castellarin, Stacey A. Archfield, Richard M. VogelAccelerating 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 fromAuthorsStacey 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. OverA bootstrap method for estimating uncertainty of water quality trends
Estimation of the direction and magnitude of trends in surface water quality remains a problem of great scientific and practical interest. The Weighted Regressions on Time, Discharge, and Season (WRTDS) method was recently introduced as an exploratory data analysis tool to provide flexible and robust estimates of water quality trends. This paper enhances the WRTDS method through the introduction oAuthorsRobert M. Hirsch, Stacey A. Archfield, Laura A. DeCiccoEvaluation 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 differentAuthorsWilliam 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. KiangA 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 uAuthorsWilliam H. Farmer, Stacey A. Archfield, Thomas M. Over, Lauren E. Hay, Jacob H. LaFontaine, Julie E. KiangFlood trends: Not higher but more often
Heavy precipitation has increased worldwide, but the effect of this on flood magnitude has been difficult to pinpoint. An alternative approach to analysing records shows that, in the central United States, floods have become more frequent but not larger.AuthorsRobert M. Hirsch, Stacey A. ArchfieldAn objective and parsimonious approach for classifying natural flow regimes at a continental scale
Hydro-ecological stream classification-the process of grouping streams by similar hydrologic responses and, by extension, similar aquatic habitat-has been widely accepted and is considered by some to be one of the first steps towards developing ecological flow targets. A new classification of 1543 streamgauges in the contiguous USA is presented by use of a novel and parsimonious approach to undersAuthorsStacey A. Archfield, Jonathan Kennen, Daren Carlisle, David M. WolockIdentifying dominant controls on hydrologic parameter transfer from gauged to ungauged catchments: a comparative hydrology approach
Daily streamflow information is critical for solving various hydrologic problems, though observations of continuous streamflow for model calibration are available at only a small fraction of the world’s rivers. One approach to estimate daily streamflow at an ungauged location is to transfer rainfall–runoff model parameters calibrated at a gauged (donor) catchment to an ungauged (receiver) catchmenAuthorsR. Singh, S.A. Archfield, T. WagenerComparison between two statistically based methods, and two physically based models developed to compute daily mean streamflow at ungaged locations in the Cedar River Basin, Iowa
A variety of individuals from water resource managers to recreational users need streamflow information for planning and decisionmaking at locations where there are no streamgages. To address this problem, two statistically based methods, the Flow Duration Curve Transfer method and the Flow Anywhere method, were developed for statewide application and the two physically based models, the PrecipitaAuthorsS. Mike Linhart, Jon F. Nania, Daniel E. Christiansen, Kasey J. Hutchinson, Curtis L. Sanders, Stacey A. Archfield - Software
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