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Karen R Ryberg, Ph.D.

Research Statistician for the Dakota Water Science Center

Expertise/Projects/Research Interests

  • Statistical analysis of hydrologic data, including parametric and nonparametric trend analysis and cluster analysis
  • Trend analysis for pesticide concentrations in surface water
  • Research related to the impact of climate variability on surface water
  • Data mining including automated data retrieval and analysis, outlier detection, and data cleaning
  • Machine learning
  • Graphical presentation of scientific data
  • R - Open Source Statistical Software
    • waterData package - Retrieval, analysis, and anomaly calculation of daily hydrologic time series data
    • seawaveQ package - A model and utilities for analyzing trends in chemical concentrations in streams with a seasonal wave (seawave) and adjustment for streamflow (Q) and other ancillary variables
  • Associate Editor, Hydrological Sciences Journal
  • Course Coordinator and member of team teaching Statistical Methods for Environmental Data Analysis at USGS National Training Center


Ryberg, K.R., 2021, The role of the U.S. Geological Survey in monitoring North Dakota’s environmental conditions: North Dakota Climate Bulletin, v. 15, no. 1, p. 11–14,

Helsel, D.R., Hirsch, R.M., Ryberg, K.R., Archfield, S.A., and Gilroy, E.J., 2020, Statistical methods in water resources: U.S. Geological Survey Techniques and Methods, book 4, chapter A3, 458 p., [Supersedes USGS Techniques of Water-Resources Investigat

Education and Certifications

  • Doctorate of Philosophy, Environmental and Conservation Sciences - Environmental Science Track, 2015 North Dakota State University, Fargo, North Dakota

    Dissertation: The impact of climate variability

  • Master of Science, Statistics, 2006, Colorado State University, Fort Collins, Colorado

    Masters Project: Water-quality trend analysis for the Devils Lake Basin, North Dakota, January 1965 through Sept

  • Associate of Applied Science, Computer Support Specialist, 2003 Bismarck State College, Bismarck, North Dakota

  • Bachelor of Arts, Mathematics, 1995 Luther College, Decorah, Iowa

  • Mathematics for Machine Learning Specialization Certificate— Imperial College London on Coursera, 2020

  • Facilitator Training—Learning to Lead Reflective Conversations, an educational program of Humanities North Dakota and Bismarck State College, Bismarck, ND., 2018

  • Specialization Certificate in Executive Data Science— Johns Hopkins University on Coursera, 2018

  • Graduate Certificate, Data Mining and Applications, 2008, Stanford University, Stanford, California

  • Management, 1996, University of Mary, Bismarck, North Dakota

Science and Products