Sean Fleming

Biography

2016: [43] Fleming SW.  2016.  Demand modulation of water scarcity sensitivities to secular climatic variation: theoretical insights from a computational maquette.  Hydrological Sciences Journal, 61, 2849-2859. [42] Fleming SW, Hood E, Dahlke HE, O’Neel S.  2016.  Seasonal flows of international British Columbia-Alaska rivers: the nonlinear influence of ocean-atmosphere circulation patterns.  Advances in Water Resources, 87, 42-55. 2015: [41] Fleming SW, Barton M.  2015.  Climate trends but little net water supply shift in one of Canada’s most water-stressed regions over the last century.  Journal of the American Water Resources Association, 51, 833-841. [40] O’Neel S, Hood E, Bidlack AL, Fleming SW, Arimitsu ML, Arendt A, Burgess E, Sergeant CJ, Beaudreau AH, Timm K, Hayward GD, Reynolds JH, Pyare S.  2015.  Icefield-to-ocean linkages across the northern Pacific coastal temperate rainforest ecosystem.  Bioscience, 65, 499-512. [39] Halverson M, Fleming SW.  2015.  Complex networks, streamflow, and hydrometric monitoring system design.  Hydrology and Earth System Sciences, 19, 3301-3318. [38] Fleming SW, Bourdin DR, Campbell D, Stull RB, Gardner T.  2015.  Development and operational testing of a super-ensemble artificial intelligence flood-forecast model for a Pacific Northwest river.  Journal of the American Water Resources Association, 51, 502-512. 2014: [37] Fleming SW, Dahlke HE.  2014.  Parabolic northern-hemisphere river flow teleconnections to El Niño-Southern Oscillation and the Arctic Oscillation.  Environmental Science Letters, 9, 104007, doi:10.1088/1748-9326/9/10/104007. [36] Fleming SW, Dahlke HE.  2014.  Modulation of linear and nonlinear hydroclimatic dynamics by mountain glaciers in Canada and Norway: results from information-theoretic polynomial selection.  Canadian Water Resources Journal, 39, 324-341. [35] Fleming SW, Wong C, Graham G.  2014.  The unbearable fuzziness of being sustainable: an integrated, fuzzy logic-based aquifer health index.  Hydrological Sciences Journal, 59, 1154-1166. [34] Fleming SW.  2014.  A non-uniqueness problem in the identification of power-law spectral scaling for hydroclimatic time series.  Hydrological Sciences Journal, 59, 73-84. 2013: [33] Fleming SW.  2013.  From icefield to estuary: a brief overview and preface to the special issue on the Columbia Basin.  Atmosphere-Ocean, 51, 333-338. [32] Gobena AK, Weber FA, Fleming SW.  2013.  The role of large-scale climate modes in regional streamflow variability and implications for water supply forecasting: a case study of the Canadian Columbia River Basin.  Atmosphere-Ocean, 51, 380-391. [Invited Contribution to Special Issue] [31] Cunderlik JM, Fleming SW, Jenkinson RW, Thiemann M, Kouwen N, Quick M.  2013.  Integrating logistical and technical criteria into a multi-team, competitive watershed model ranking procedure.  ASCE Journal of Hydrologic Engineering, 18, 641-654. [30] Fleming SW, Sauchyn DJ.  2013.  Availability, volatility, stability, and teleconnectivity changes in prairie water supply from Canadian Rocky Mountain sources over the last millennium.  Water Resources Research, 49, 64-74. 2012: [29] Bourdin DR, Fleming SW, Stull RB.  2012.  Streamflow modelling: a primer on applications, approaches and challenges.  Atmosphere-Ocean, 50, 507-536. [28] Fleming SW, Weber FA.  2012.  Detection of long-term change in hydroelectric reservoir inflows: bridging theory and practise.  Journal of Hydrology, 470-471 (2012), 36-54. 2010: [27] Fleming SW.  2010.  Signal-to-noise ratios of geophysical and environmental time series, Environmental and Engineering Geoscience, 16, 389-399. [26] Fleming SW, Whitfield PH.  2010.  Spatiotemporal mapping of ENSO and PDO surface meteorological signals in British Columbia, Yukon, and southeast Alaska, Atmosphere-Ocean, 48, 122-131. [25] Whitfield PH, Moore RD, Fleming SW, Zawadzki A.  2010.  Pacific Decadal Oscillation and the hydroclimatology of western Canada – review and prospects, Canadian Water Resources Journal, 35, 1-28. 2009: [24] Fleming S.W.  2009.  Exploring the nature of Pacific climate variability using a “toy” nonlinear stochastic model, Canadian Journal of Physics, 87, 1127-1131. [23] Fleming SW, Hudson P, Quilty EJ. 2009. Interpreting nonstationary environmental cycles as amplitude-modulated (AM) signals, Canadian Journal of Civil Engineering, 36, 720-731. [22] Moore RD, Fleming SW, Menounos B, Wheate R, Fountain A, Stahl K, Holm K, Jakob M. 2009. Glacier change in western North America: influences on hydrology, geomorphic hazards, and water quality, Hydrological Processes, 23, 42-61. [Invited Contribution to Special Issue] 2008: [21] Fleming SW. 2008. Approximate record length constraints for experimental identification of dynamical fractals, Annalen der Physik, 17, 955-969. 2007: [20] Fleming SW. 2007. Artificial neural network forecasting of nonlinear Markov processes, Canadian Journal of Physics, 85, 279-294. [19] Fleming SW, Whitfield PH, Moore RD, Quilty EJ. 2007. Regime-dependent streamflow sensitivities to Pacific climate modes across the Georgia-Puget transboundary ecoregion, Hydrological Processes, 21, 3264-3287. [18] Fleming SW. 2007. Climatic influences on Markovian transition matrices for Vancouver daily rainfall occurrence, Atmosphere-Ocean, 45, 163-171. [17] Farahmand T, Fleming SW, Quilty EJ.  2007. Detection and visualization of storm hydrograph changes under urbanization: an impulse response approach, Journal of Environmental Management, 85, 93-100. [16] Fleming SW. 2007. An information theoretic perspective on mesoscale seasonal variations in ground-level ozone, Atmospheric Environment, 41, 5746-5755. [15] Fleming SW, Quilty EJ.  2007. Toward a practical method for setting screening-level, ecological risk-based water temperature criteria and monitoring compliance, Environmental Monitoring and Assessment, 131, 83-94. [14] Fleming SW. 2007. Quantifying urbanization-associated changes in terrestrial hydrologic system memory, Acta Geophysica, 55, 359-368. 2016: [43] Fleming SW.  2016.  Demand modulation of water scarcity sensitivities to secular climatic variation: theoretical insights from a computational maquette.  Hydrological Sciences Journal, 61, 2849-2859. [42] Fleming SW, Hood E, Dahlke HE, O’Neel S.  2016.  Seasonal flows of international British Columbia-Alaska rivers: the nonlinear influence of ocean-atmosphere circulation patterns.  Advances in Water Resources, 87, 42-55. 2015: [41] Fleming SW, Barton M.  2015.  Climate trends but little net water supply shift in one of Canada’s most water-stressed regions over the last century.  Journal of the American Water Resources Association, 51, 833-841. [40] O’Neel S, Hood E, Bidlack AL, Fleming SW, Arimitsu ML, Arendt A, Burgess E, Sergeant CJ, Beaudreau AH, Timm K, Hayward GD, Reynolds JH, Pyare S.  2015.  Icefield-to-ocean linkages across the northern Pacific coastal temperate rainforest ecosystem.  Bioscience, 65, 499-512. [39] Halverson M, Fleming SW.  2015.  Complex networks, streamflow, and hydrometric monitoring system design.  Hydrology and Earth System Sciences, 19, 3301-3318. [38] Fleming SW, Bourdin DR, Campbell D, Stull RB, Gardner T.  2015.  Development and operational testing of a super-ensemble artificial intelligence flood-forecast model for a Pacific Northwest river.  Journal of the American Water Resources Association, 51, 502-512. 2014: [37] Fleming SW, Dahlke HE.  2014.  Parabolic northern-hemisphere river flow teleconnections to El Niño-Southern Oscillation and the Arctic Oscillation.  Environmental Science Letters, 9, 104007, doi:10.1088/1748-9326/9/10/104007. [36] Fleming SW, Dahlke HE.  2014.  Modulation of linear and nonlinear hydroclimatic dynamics by mountain glaciers in Canada and Norway: results from information-theoretic polynomial selection.  Canadian Water Resources Journal, 39, 324-341. [35] Fleming SW, Wong C, Graham G.  2014.  The unbearable fuzziness of being sustainable: an integrated, fuzzy logic-based aquifer health index.  Hydrological Sciences Journal, 59, 1154-1166. [34] Fleming SW.  2014.  A non-uniqueness problem in the identification of power-law spectral scaling for hydroclimatic time series.  Hydrological Sciences Journal, 59, 73-84. 2013: [33] Fleming SW.  2013.  From icefield to estuary: a brief overview and preface to the special issue on the Columbia Basin.  Atmosphere-Ocean, 51, 333-338. [32] Gobena AK, Weber FA, Fleming SW.  2013.  The role of large-scale climate modes in regional streamflow variability and implications for water supply forecasting: a case study of the Canadian Columbia River Basin.  Atmosphere-Ocean, 51, 380-391. [Invited Contribution to Special Issue] [31] Cunderlik JM, Fleming SW, Jenkinson RW, Thiemann M, Kouwen N, Quick M.  2013.  Integrating logistical and technical criteria into a multi-team, competitive watershed model ranking procedure.  ASCE Journal of Hydrologic Engineering, 18, 641-654. [30] Fleming SW, Sauchyn DJ.  2013.  Availability, volatility, stability, and teleconnectivity changes in prairie water supply from Canadian Rocky Mountain sources over the last millennium.  Water Resources Research, 49, 64-74. 2012: [29] Bourdin DR, Fleming SW, Stull RB.  2012.  Streamflow modelling: a primer on applications, approaches and challenges.  Atmosphere-Ocean, 50, 507-536. [28] Fleming SW, Weber FA.  2012.  Detection of long-term change in hydroelectric reservoir inflows: bridging theory and practise.  Journal of Hydrology, 470-471 (2012), 36-54. 2010: [27] Fleming SW.  2010.  Signal-to-noise ratios of geophysical and environmental time series, Environmental and Engineering Geoscience, 16, 389-399. [26] Fleming SW, Whitfield PH.  2010.  Spatiotemporal mapping of ENSO and PDO surface meteorological signals in British Columbia, Yukon, and southeast Alaska, Atmosphere-Ocean, 48, 122-131. [25] Whitfield PH, Moore RD, Fleming SW, Zawadzki A.  2010.  Pacific Decadal Oscillation and the hydroclimatology of western Canada – review and prospects, Canadian Water Resources Journal, 35, 1-28. 2009: [24] Fleming S.W.  2009.  Exploring the nature of Pacific climate variability using a “toy” nonlinear stochastic model, Canadian Journal of Physics, 87, 1127-1131. [23] Fleming SW, Hudson P, Quilty EJ. 2009. Interpreting nonstationary environmental cycles as amplitude-modulated (AM) signals, Canadian Journal of Civil Engineering, 36, 720-731. [22] Moore RD, Fleming SW, Menounos B, Wheate R, Fountain A, Stahl K, Holm K, Jakob M. 2009. Glacier change in western North America: influences on hydrology, geomorphic hazards, and water quality, Hydrological Processes, 23, 42-61. [Invited Contribution to Special Issue] 2008: [21] Fleming SW. 2008. Approximate record length constraints for experimental identification of dynamical fractals, Annalen der Physik, 17, 955-969. 2007: [20] Fleming SW. 2007. Artificial neural network forecasting of nonlinear Markov processes, Canadian Journal of Physics, 85, 279-294. [19] Fleming SW, Whitfield PH, Moore RD, Quilty EJ. 2007. Regime-dependent streamflow sensitivities to Pacific climate modes across the Georgia-Puget transboundary ecoregion, Hydrological Processes, 21, 3264-3287. [18] Fleming SW. 2007. Climatic influences on Markovian transition matrices for Vancouver daily rainfall occurrence, Atmosphere-Ocean, 45, 163-171. [17] Farahmand T, Fleming SW, Quilty EJ.  2007. Detection and visualization of storm hydrograph changes under urbanization: an impulse response approach, Journal of Environmental Management, 85, 93-100. [16] Fleming SW. 2007. An information theoretic perspective on mesoscale seasonal variations in ground-level ozone, Atmospheric Environment, 41, 5746-5755. [15] Fleming SW, Quilty EJ.  2007. Toward a practical method for setting screening-level, ecological risk-based water temperature criteria and monitoring compliance, Environmental Monitoring and Assessment, 131, 83-94. [14] Fleming SW. 2007. Quantifying urbanization-associated changes in terrestrial hydrologic system memory, Acta Geophysica, 55, 359-368.

Research Interest

My primary research interests lie with applied data science and predictive analytics.  Originally trained as a geophysicist with a solid grounding in both digital signal processing and bottom-up process physics, my interests quickly turned to analysis and modeling of complex systems in hydrology, cryospheric science, and climate, and subsequently to data analytics in general. I am particularly intrigued by integration of process physics and experiential expert knowledge into data-driven analysis and prediction algorithms, and my work emphasizes bridging the gap between theory and practice.  Most of my projects involve building and managing multi-disciplinary, multi-institutional, and frequently international teams. I run a boutique data analytics research consultancy, White Rabbit R&D LLC, while continuing to maintain active academic ties through affiliate faculty postings with both my alma maters: the University of British Columbia (B.Sc., 1994, Ph.D., 2004) and Oregon State University (M.S., 1997, 1998).  I also sit on the editorial board of two peer-reviewed journals, and I am routinely called upon to provide feedback, such as serving as an invited expert reviewer of the IPCC AR5 Impacts, Adaptation, and Vulnerability climate change report.  My research has been widely distributed, including dozens of articles and presentations in physics, geoscience, atmospheric science, and engineering journals and conferences in North America and Europe.