I am a senior scientist, manager, and communicator with over two decades of diverse professional experience spanning the public, private, academic, and nonprofit sectors in the US, Canada, Mexico, and the UK. Examples range from field research on mountain glaciers near the Alaska-Yukon border and groundwater exploration in south-central Mexico, to leading an applied R&D team in the Canadian federal government and starting my own data science consulting firm here in the US.
My interests are broad but currently focus mainly on advancing data science applications to analysis and forecasting problems in environmental science and hydrometeorology. Originally trained as a geophysicist with a solid grounding in both digital signal processing and bottom-up process physics, my attention quickly turned from gold and oil exploration to analysis and modeling of complex systems in hydrology, cryospheric science, and climate, and subsequently to data analytics and machine learning in general, which I have been working with for close to two decades. I am particularly intrigued by the integration of both underlying process physics and experiential human expert knowledge into data-driven quantitative analysis and prediction algorithms, particularly AI, 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.
The work that my teams and I have completed has been extensively vetted in the peer-reviewed research literature and at conferences and workshops across North America and Europe. My Google Scholar h-index is 29, with over 2,600 citations. This work includes major contributions to our understanding of how climate variability and change impact surface water and groundwater resources and hazards, especially in glacier-fed watersheds, and to the development and implementation of some of the first truly operational AI-based river forecast systems in use at governmental service-delivery organizations, which in turn spans practical progress in explainable (glass-box) machine learning and AutoML. Other areas of emphasis include integration of air- and space-based remote sensing data into hydrologic analysis and prediction platforms, applications of complex system theory to environmental systems, and quantitative investigations of interactions between society and the environment. I have also routinely performed high-profile, senior-level advisory activities, such as serving as an associate editor for several journals including Water Resources Research, on the World Meteorological Organization (WMO) Commission for Hydrology, and as an invited expert reviewer of several Intergovernmental Panel on Climate Change (IPCC) reports, in addition to contributing objective science-based guidance to policy formation, evaluating draft legislation, and performing environmental impact assessments. Similarly, I've demonstrated a decades-long commitment to volunteer efforts around supporting responsible environmental stewardship and historically underserved and distressed communities; current examples include participating in two humanitarian trips to Ukraine in wartime as a board member of the Corvallis Sister Cities Association and serving as a Linn-Benton County certified Master Gardener.
Public outreach and engagement on science is also a particular point of interest for me. My popular science book, Where the River Runs: Scientific Reflections on Earth's Waterways, was published in spring 2017 by Princeton University Press (PUP) and has received positive coverage in Nature, Science News, and The Toronto Metro, among others. I've also given public lectures and book signings at the Smithsonian Institution in Washington DC and at Science Pub events in Corvallis (OSU), Bend (OSU-Cascades), and Portland (OMSI), a live prime-time national TV news interview, and a live radio interview with an NPR affiliate. My writing has additionally appeared on the PUP blog and in Scientific American and Wired.
I own an applied data science R&D consultancy with clients and projects spanning development of the USDA Natural Resources Conservation Service's new water supply forecast model for the American West, testing the use of machine learning for harmful algal bloom (HAB) forecasting in a US Army Corps of Engineers reservoir as a subconsultant to the City of Salem, climate data analysis and visualization for a Canadian-based nonprofit watershed stewardship organization, and science communications support for a Silicon Valley startup. In my additional role as affiliate OSU faculty in CEOAS, and also in the Water Resources Graduate Program (WRGP), my function is to serve on the supervisory committees of graduate students, collaborate with OSU faculty on applied research, and provide practical industry perspectives to university research. I serve a similar function at the University of British Columbia.
B.Sc., Geophysics, University of British Columbia, 1994
M.S., Geophysics, Oregon State University, 1997
M.S., Geology (major), Civil Engineering (minor), Oregon State University, 1998
Ph.D., Geophysics, University of British Columbia, 2004
Owner and Chief Scientist, White Rabbit R&D LLC
Courtesy Professor, Oregon State University, Corvallis OR
Adjunct Professor, University of British Columbia, Vancouver BC
OSU email: fleminse@oregonstate.edu
[55] Fleming SW, Rittger K, Oaida Taglialatela CM, Graczyk I. 2024. Leveraging next-generation satellite remote sensing based snow data to improve seasonal water supply predictions in a practical machine learning-driven river forecast system. Water Resources Research, 60, e2023WR035785, doi:10.1029/2023WR035785.
[54] Fleming SW, Zukiewicz L, Strobel ML, Hofman H, Goodbody AG. 2023. SNOTEL, the Soil Moisture Climate Analysis Network, and water supply forecasting at the Natural Resources Conservation Service: past, present, and future. Journal of the American Water Resources Association, 59, 585-599.
[53] Cooper MG, Zhou T, Bennett KE, Bolton WR, Coon ET, Fleming SW, Rowland JC, Schwenk J. 2023. Detecting permafrost active layer thickness change from nonlinear baseflow recession. Water Resources Research, 59, doi:10.1029/2022WR033154.
[52] Fleming SW, Garen DC. 2022. Simplified cross-validation in principal component regression (PCR) and PCR-like machine learning for water supply forecasting. Journal of the American Water Resources Association, 58, 517-524.
[51] Fleming SW, Watson JR, Ellenson A, Cannon AJ, Vesselinov VC. 2021. Machine learning in Earth and environmental science requires education and research policy reforms. Nature Geoscience, 14, 878-880.
[50] Fleming SW, Garen DC, Goodbody AG, McCarthy CS, Landers LC. 2021. Assessing the new Natural Resources Conservation Service water supply forecast model for the American West: a challenging test of explainable, automated, ensemble artificial intelligence. Journal of Hydrology, 602, 126782.
[49] Fleming SW, Vesselinov VV, Goodbody AG. 2021. Augmenting geophysical interpretation of data-driven operational water supply forecast modeling for a western US river using a hybrid machine learning approach. Journal of Hydrology, 597, 126327.
[48] Fleming SW. 2021. Scale-free networks, 1/f dynamics, and nonlinear conflict size scaling from an agent-based simulation model of societal-scale bilateral conflict and cooperation. Physica A, 567, 125678.
[47] Bidlack AL, Bisbing SM, Buma BJ, Dieffenderfer HL, Fellman JB, Floyd WC, Giesbrecht I, Lally A, Lertzman KP, Perakis SS, Butman DE, D'Amore DV, Fleming SW, Hood EW, Hunt BPV, Kiffney PM, McNicol G, Menounos B, Tank E. 2021. Climate-mediated changes to linked terrestrial and marine ecosystems across the Northeast Pacific coastal temperate rainforest margin. Bioscience, 71, 581-595.
[46] Fleming SW, Goodbody AG. 2019. A machine learning metasystem for robust probabilistic nonlinear regression-based forecasting of seasonal water availability in the US West. IEEE Access, 7, 119943-119964.
[45] Solander KC, Bennett KE, Fleming SW, Middleton RS. 2019. Estimating hydrologic vulnerabilities to climate change using simulated historical data: a proof-of-concept for a rapid assessment algorithm in the Colorado River Basin. Journal of Hydrology: Regional Studies, 26, 100642, doi:10.1016/j.ejrh.2019.100642.
[44] Solander KC, Bennett KE, Fleming SW, Gutzler DS, Hopkins HM, Middleton RS. 2018. Interactions between climate change and complex topography drive observed streamflow changes in the Colorado River Basin. Journal of Hydrometeorology, 19, 1637-1650.
[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.
[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.
[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/Revue canadienne des ressources hydriques, 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.
[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.
[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.
[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/Revue canadienne des ressources hydriques, 35, 1-28.
[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]
[21] Fleming SW. 2008. Approximate record length constraints for experimental identification of dynamical fractals, Annalen der Physik, 17, 955-969.
[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.
[13] Fleming SW, Moore RD, Clarke GKC. 2006. Glacier-mediated streamflow teleconnections to the Arctic Oscillation, International Journal of Climatology, 26, 619-636.
[12] Fleming SW, Quilty EJ. 2006. Aquifer responses to El Niño-Southern Oscillation, southwest British Columbia, Ground Water, 44, 595-599.
[11] Fleming SW, Clarke GKC. 2005. Attenuation of high-frequency interannual streamflow variability by watershed glacial cover, ASCE Journal of Hydraulic Engineering, 131, 615-618.
[10] Fleming SW. 2005. Comparative analysis of glacial and nival streamflow regimes with implications for lotic habitat quantity and fish species richness, River Research and Applications, 21, 363-379.
2003 and earlier:
[9] Fleming SW, Clarke GKC. 2003. Glacial control of water resource and related environmental responses to climatic warming: empirical analysis using historical streamflow data from northwestern Canada, Canadian Water Resources Journal/Revue canadienne des ressources hydriques, 28, 69-86.
[8] Fleming SW, Clarke GKC. 2002. Autoregressive noise, deserialization, and trend detection and quantification in annual river discharge time series, Canadian Water Resources Journa/Revue canadienne des ressources hydriquesl, 27, 335-354.
[7] Fleming SW, Ruskauff GJ, Adams A. 2002. HJWFTAC: software for Hantush-Jacob analysis of variable-rate, multiple-extraction well pumping tests, Computers and Geosciences, 28, 669-677.
[6] Fleming SW, Lavenue AM, Aly AH, Adams A. 2002. Practical applications of spectral analysis to hydrologic time series, Hydrological Processes, 16, 565-574.
[5] Haggerty R, Fleming SW, Meigs LC, McKenna S. 2001. Tracer tests in a fractured dolomite, 2, analysis of mass transfer in single-well injection-withdrawal tests, Water Resources Research, 37, 1129-1142.
[4] Fleming SW, Haggerty R. 2001. Modeling solute diffusion in the presence of pore-scale heterogeneity: method development and an application to the Culebra dolomite Member of the Rustler Formation, New Mexico, USA, Journal of Contaminant Hydrology, 48, 253-276.
[3] Fleming SW, Clark PU. 2000. Investigation of water pressure transients beneath temperate glaciers using numerical groundwater flow experiments, Journal of Quaternary Science, 15(6), 567-572.
[2] Butler KE, Fleming SW, Russell RD. 1999. Field test for linearity of seismoelectric conversions, Canadian Journal of Exploration Geophysics, 35, 20-23.
[1] Fleming SW, Trehu AM. 1999. Crustal structure beneath the central Oregon convergent margin from potential field modeling: evidence for a buried basement ridge in local contact with a seaward dipping backstop, Journal of Geophysical Research, 104, 20431-20447.
[16] Smith M, Fracchiolla C, Fleming SW, Dominguez A, Lau A, Greco S, Lincoln D, Katifori E, Ratcliff W, Longobardi M, Murdock M, Ishak M. 2021. Informal science education and career advancement. arXiv, arXiv:2112:10623.
[15] Fleming SW, Gupta HV. 2020. The physics of river prediction. Physics Today, 73, 46-52.
[14] Trubilowicz JW, Chorlton E, Déry SJ, Fleming SW. 2015. Satellite remote sensing for water resource applications in British Columbia. Innovation Magazine (Journal of the Association of Professional Engineers and Geoscientists of BC), March/April, 18-20.
[13] Fleming SW. 2009. An informal survey of watershed model users: preferences, applications, and rationales. Streamline Watershed Management Bulletin, 13, 32-35.
[12] Fleming SW, Moore R.D. 2008. Local-scale controls on hydrologic responses to climatic variability, CMOS Bulletin, 36, 15-19.
[11] Fleming SW, Quilty EJ. 2006. A Novel Approach: Reconnaissance Analysis of the Little Campbell River Watershed. Report prepared by Aquatic Informatics. Environmental Quality Section, BC Ministry of Environment, Surrey.
[10] Fleming SW. 2006. Impacts of climatic trends upon groundwater resources, aquifer-stream interactions, and freshwater habitat in glacierized watersheds, Yukon Territory, Canada. In: Glacier Science and Environmental Change, P.G. Knight (ed.), Blackwell, Oxford, 151-152.
[9] Fleming SW, Quilty EJ. 2005. Whistler Valley Monitoring Program: Preliminary Assessment. Report prepared by Aquatic Informatics. Environmental Quality Section, BC Ministry of Environment, Surrey.
[8] Quilty EJ, Fleming SW. 2005. Magnitude-Duration Based Water Quality Objectives for Turbidity and Temperature in Millionaire Creek: Summary Report. Report prepared by Aquatic Informatics. Environmental Quality Section, BC Ministry of Environment, Surrey.
[7] Fleming SW, Quilty EJ, Farahmand T, Hudson P. 2005. Magnitude-Duration Based Ecological Risk Assessment for Turbidity and Chronic Temperature Impacts: Method Development and Application to Millionaire Creek. Report prepared by Aquatic Informatics. Environmental Quality Section, BC Ministry of Environment, Surrey.
[6] Fleming SW. 2004. Comparative Statistical Hydroclimatology of Glacial and Nival Rivers in Southwest Yukon and Northwest British Columbia. Ph.D. dissertation, University of British Columbia, Vancouver.
[5] Fleming SW, Ruskauff GJ, Aly AH., Adams A. 2001. Local-scale wellfield analysis for improving a numerical water resource management model. In: Proceedings of the MODFLOW2001 Conference, H.S. Seo, E. Poeter, C. Zheng, O. Poeter (eds.), International Ground Water Modeling Center, Colorado School of Mines, Golden.
[4] Meigs LC, McKenna SA, Altman SJ, Beauheim RL, McCord JT, Haggerty R, Fleming SW, Jones TL, Ogintz J, Farnham I. 2000. Interpretations of Tracer Tests Performed in the Culebra Dolomite at the Waste Isolation Pilot Plant Site, SAND97-3109. Sandia National Laboratories, Albuquerque.
[3] Haggerty R, Fleming SW, McKenna SA. 2000. STAMMT-R: Solute Transport and Multirate Mass Transfer in Radial Coordinates, A Fortran Code for Modeling and Analyzing Radial Single-Well and Two-Well Tracer Tests in Formations Exhibiting Multiple Rates of Diffusive Mass Transfer, Version 1.01, SAND99-0164. Sandia National Laboratories, Albuquerque.
[2] Fleming SW. 1998. Single and Multiple Rates of Nonequilibrium Diffusive Mass Transfer at the Laboratory, Field, and Regional Scales in the Culebra Member of the Rustler Formation, New Mexico. M.S. thesis, Oregon State University, Corvallis.
[1] Fleming SW. 1996. Bulldozer Blades and Colliding Submarine Mountain Chains: Constraints on Central Oregon Convergent Margin Tectonics from Magnetics and Gravity. M.S. thesis, Oregon State University, Corvallis.
"[66] Fleming SW, Rittger K, Oaida Taglialatela CM, Graczyk I. 2024. Using NASA-INSTAAR satellite data, with statistical and AI-based river hydrology models, to improve operational Western US seasonal water supply forecasts. NASA Jet Propulsion Laboratory Western Water Applications Office Annual Conference, 30 April-2 May 2024, Boulder, CO.
[65] Fleming SW. 2023. AI for environmental prediction. Seminar, Computer Science Faculty, Uzhhorod National University, 20 September 2023, Uzhhorod, Ukraine.
[64] Rittger K, Raleigh MS, Lenard S, Bair N, Musselman KN, Skiles M, Brodzik MJ, Serreze MC, Palomaki R, Napl P, Lang OI, Painter TH, Kormos P, Stokes M, Casson D, Clark MP, Conway JP, Hill A, Fleming SW. 2023. Advancing domestic and international water management capabilities with a global daily snow cover and albedo product. American Geophysical Union Annual Meeting.
[63] Fleming SW, David O, Goodbody AG, Serafin F, Garen DC, Tully M, McCarthy CS, Patterson DA, Tama R, Harms D. 2023. Democratizing artificial intelligence for applied watershed hydrology through user needs-driven design of prediction engines and operational platforms. Eighth Interagency Conference on Research in the Watersheds, 6 June 2023, Oregon State University, Corvallis OR.
[62] Fleming SW. 2022. Implications of climate variability and change for hydrologic regimes in the western US. Webinar Series with US Embassy in Slovakia on Dam and Levee Safety, Embassy Science Fellows Program, US Department of Agriculture International Programs Division and US State Department (virtual). Re-presented in-person with USDA permission at Seminar, Biology Faculty, Uzhhorod National University, Uzhhorod, Ukraine, 22 September 2022.
[61] Fleming SW, Uriona B. 2022. Toward operational application of NASA space-based remote sensing data for NRCS snow monitoring & water supply prediction. NASA Applied Sciences Program, Western Water Applications Office & Water Resources Team Annual Meeting, 4 October 2021 (virtual)
[60] Fleming SW. 2022. A new machine learning-based operational metasystem for seasonal river runoff forecasting across the American West. Seminar for the NASA Western Water Applications Office, 1 September 2022, Jet Propulsion Laboratory, Pasadena, CA.
[59] Fleming SW. 2021. Freshwater management, conservation measures, and climate change in the US: a short synthesis. Meeting on Water Resource Management, Near East and North Africa, International Visitors Leadership Program, US State Department (virtual).
[58] Fleming SW, Garen DC, Goodbody AG, McCarthy CS, Landers LC. 2021. M4: the next-generation AI-based NRCS water supply forecasting system. Western States Federal Agency Support Team (WestFAST) Webinar Series (virtual).
[57] Fleming SW. 2021. The physics of predicting rivers: how we do it - and why it matters. NASA Goddard Space Flight Center Scientific Colloquium (virtual).
[56] Fleming SW, Garen DC, Goodbody AG, McCarthy CS, Landers LC. 2021. Multi-model machine learning metasystem (M4): a new framework for water supply forecasting at NRCS. Missouri Basin River Forecasters Annual Meeting (virtual).
[55] Fleming SW, Garen DC, Goodbody AG, McCarthy CS, Landers LC. 2021. A large-scale AI-based operational river runoff forecast system for the western US and Alaska. American Meteorological Society 101st Annual Meeting/11th Conference on Transition of Research to Operations (virtual).
[54] Fleming SW, Garen DC, Goodbody AG, McCarthy CS, Landers LC. 2020. An introduction to the new NRCS water supply forecast platform for the US West: a metasystem blending AI, geophysical knowledge, multi-model inference, and practical requirements. Colorado River Hydrology Research Symposium Webinar Series (virtual).
[53] Fleming SW, Garen DC, Goodbody AG, McCarthy CS, Landers LC. 2020. M4: an AI-based multi-model prediction analytics engine for next-generation NRCS water supply forecasting. California Cooperative Snow Surveys Program 66th Annual Meeting (virtual).
[52] Fleming SW, Garen DC, Goodbody AG, McCarthy CS, Landers LC. 2020. The new US Department of Agriculture snowmelt runoff and water supply forecast model for the American West. American Geophysical Union Fall Meeting (virtual).
[51] Fleming SW, Goodbody AG, Garen DC, McCarthy CS. 2019. Imagining and building the next generation of the US Department of Agriculture Natural Resources Conservation Service operational water supply forecast model for the American West: machine learning goes mainstream. American Geophysical Union Fall Meeting, San Francisco, CA.
[50] Fleming SW, Titus M, Watson JR, Doring D. 2019. Technology demonstration for one-week-ahead forecasting of toxic algal blooms in the US Army Corps of Engineers reservoir at Detroit Lake using machine learning. American Geophysical Union Fall Meeting, San Francisco, CA.
[49] Jones J, Hammond J, Fleming SW. 2018. Unexpected resilience of large-scale river infrastructure and water management systems to climate change. Joint Conference on Forests and Water 2018: II Congreso Latinaoamericano Bosques y Agua, V IUFRO Conference on Forests and Water in a Changing Environment, Valdivia, Chile.
[48] Fleming SW, Del Valle S. 2018. Multiple complex emergent phenomena in a noise-driven statistical mechanical model of social dynamics. American Physical Society March Meeting, Los Angeles, CA.
[47] Fleming SW. 2018. Machine learning, soft computing, and complex systems analysis: emerging approaches for discovering and predicting nonlinear phenomena in water resources and climate. Los Alamos National Laboratory Center for Nonlinear Studies Colloquium Series, Los Alamos, NM [Also re-presented to the OSU Water Resources Graduate Program Seminar Series and the OSU Applied Mathematics & Computation Seminar Series]
[46] Fleming SW. 2017. Exploring the water-climate-population nexus with a streamlined stochastic model. American Water Resources Association Annual Conference, Portland, OR.
[45] Fleming SW. 2017. Social impacts of climate change: implications to water resource availability. Los Alamos National Laboratory Workshop on Current Challenges in Global Security: The Impact of Human Behavior on Cyber Security, Climate Change, and Terrorism, Los Alamos, NM. [Invited Presentation]
[44] Fleming SW. 2017. Data analytics methods for detection and characterization of climate variability and change signals in observational water resource datasets. Los Alamos National Laboratory, Frontiers in Geoscience Colloquium Series, Los Alamos, NM. [Invited Presentation]
[43] Fleming SW. 2017. Quantitative simulation and prediction of hydrologic systems: an overview. Workshop on Aquatic Biogeochemistry of Coastal Temperate Rainforests, NSF Coastal Rainforest Margins Research Network, Seattle, WA. [Invited Presentation]
[42] Bourdin DR, Fleming SW, Fortin V, Durnford D. 2014. Numerical modelling of freshwater flux and temperature on the northern British Columbia coast in support of marine oil spill response. American Geophysical Union Fall Meeting, San Francisco, CA.
[41] Fleming SW, Bourdin DR, Campbell D, Stull RB, Gardner T. 2014. Probabilistic flood forecasting using downscaled and bias-corrected NAEFS weather inputs to an ensemble of neural-network hydrologic models. Western Canada Weather Workshop, Vancouver, BC.
[40] Halverson M, Fleming SW. 2014. The application of complex network analysis to a system of streamflow gauges: what can we learn from community structure? Canadian Meteorological and Oceanographic Society Annual Congress, Rimouski, PQ.
[39] Fleming SW, Dahlke HE. 2013. Glacier-modulated impacts of climate variability and change on water available for ecological flow needs, American Water Resources Association Specialty Conference on Environmental Flows, Hartford, CT.
[38] Fleming SW, Sauchyn DJ. 2013. A deep-time view of instream flows: changes in the availability, volatility, stability, and teleconnectivity of northern Great Plains river discharge over the last 1000 years, American Water Resources Association Specialty Conference on Environmental Flows, Hartford, CT.
[37] Fleming SW. 2013. The streamflow hydrology of glacierized watersheds: a brief overview, University of Alaska Southeast Glacier Workshop, Juneau, AK. [Invited Presentation]
[36] Doyle C, Mo R, Jones D, Fleming SW, Whitfield PH. 2013. Consequences and trend implications of a prolonged dry spell in southern coastal British Columbia, Canada. American Meteorological Society Annual Meeting, Austin, TX.
[35] Fleming SW. 2012. The detectability of power-law spectral scaling in instrumental climate records, Canadian Association of Physicists 2012 Congress, Calgary, AB.
[34] Fleming SW. 2012. Is hydroclimate fractal? Another look, European Geosciences Union General Assembly, Vienna, Austria. [Invited Presentation]
[33] Fleming SW, Wong C, Graham G. 2011. Using a fuzzy expert system to generate a holistic quantitative index of groundwater sustainability, American Geophysical Union Fall Meeting, San Francisco, CA
[32] Fleming SW. 2011. Complex fine-scale responses of terrestrial hydrometeorology to organized modes of climatic variability, American Geophysical Union Fall Meeting, San Francisco, CA. [Invited Presentation]
[31] Fleming SW, Wong C, Graham G. 2011. Prototype fuzzy logic approach for an integrated groundwater sustainability index, Salish Sea Ecosystem Conference, Vancouver, BC.
[30] Fleming SW, Graham G. 2011. Groundwater resources in Osoyoos, Osoyoos Lake Water Science Forum, Osoyoos, BC.
[29] Fleming SW, Weber FA. 2010. Multi-thread assessment of hydroclimatic change to support long-term planning of hydroelectric resources, Hydrology 2010, San Diego, CA.
[28] Fleming SW, Cunderlik J, Jenkinson W, Thiemann M, Lence B. 2010. A ‘horse race’ intercomparison of process-oriented watershed models for operational river forecasting, Canadian Water Resources Association Annual Conference, Vancouver, BC.
[27] Fleming SW, Moore RD, Clarke GKC, Werner A, Weber FA. 2010. Projections of Columbia River inflows to Mica dam under potential future trajectories of climate and glacier change, Canadian Water Resources Association Annual Conference, Vancouver, BC.
[26] Weston S, Fleming SW, Weber FA. 2010. Multiobjective, constrained Monte-Carlo optimization and uncertainty estimation for the UBC Watershed Model. Canadian Water Resources Association Annual Conference, Vancouver, BC.
[25] Gobena A, Weber FA, Fleming SW. 2010. Teleconnections between large-scale climate modes and the hydroclimatic data of BC Hydro watersheds, Canadian Water Resources Association Annual Conference, Vancouver, BC.
[24] Fleming SW, Weber FA, Weston S. 2010. Multiobjective, manifoldly constrained Monte Carlo optimization and uncertainty estimation for an operational hydrologic forecast model, American Meteorological Society Annual Meeting, Atlanta, GA. [Invited Presentation]
[23] Weber FA, Fleming SW. 2009. Modeling the glacio-hydrological response to future climate scenarios, Columbia River Forecast Group Workshop, Portland, OR.
[22] Weber FA, Fleming SW, Weston S, Boyd J. 2009. Forecast procedure review and 2008 forecast performance, Columbia River Forecast Group Workshop, Portland, OR.
[21] Fleming SW, Moore RD. 2008. Geophysical trend detection as a signal-to-noise ratio problem, with application to ecological low flows in Cowichan-region watersheds, North American Lake Management Society Symposium on Lake Management in a Changing Environment, Lake Louise, AB.
[20] Fleming SW. 2008. Climate and glacier change: potential implications for BC Hydro, Western Canadian Cryospheric Network (WC2N) Fall Workshop, Prince George, BC.
[19] Fleming SW, Weber FA. 2008. Parameter uncertainty estimation for an operational river forecast model using a modified GLUE architecture, HEPEX Sub-Group Meeting on Uncertainty Post-Processing for Hydrologic Ensemble Prediction, Delft, Netherlands.
[18] Fleming SW. 2007. Trends in magnitude, distribution, and coherence of aerosol concentrations across the British Columbia lower mainland, Georgia Basin–Puget Sound Research Conference, Vancouver, BC.
[17] Fleming SW, Whitfield PH. 2006. Statistical identification of surface meteorological signals in British Columbia, Yukon, and southeast Alaska associated with Pacific ocean-atmosphere circulation patterns, Canadian Water Resources Association Annual Conference, Vancouver, BC.
[16] Hudson P, Fleming SW, Quilty EJ. 2006. Tune in to river rhythms on your AM dial: amplitude modulation-based mathematical modelling of Englishman River temperature cycles, Canadian Meteorological and Oceanographic Society Annual Congress, Toronto, ON.
[15] Fleming SW, Quilty EJ. 2005. Using automated monitoring networks to set risk-based water quality objectives for turbidity, Environment Canada Ecological Monitoring and Assessment Network (EMAN) 2005 National Science Meeting, Penticton, BC.
[14] Fleming SW, Whitfield PH, Moore RD, Quilty EJ. 2005. Pacific circulation forcing of heterogeneous annual streamflow regimes across the Georgia-Puget transboundary ecoregion: climate-driven spatiotemporal variability in seasonal aquatic habitat availability, Climate and Fisheries: Impacts, Uncertainty and Responses of Ecosystems and Communities, Victoria, BC.
[13] Fleming SW, Quilty EJ. 2005. Summer baseflow and climatic change: retrospective analysis and exploratory predictive modelling of historical and potential future impacts on drought-season water resources and habitat availability in Chapman Creek, Climate and Fisheries: Impacts, Uncertainty and Responses of Ecosystems and Communities, Victoria, BC.
[12] Fleming SW, Quilty EJ. 2005. El Niño-Southern Oscillation influences upon lower Fraser Valley water-table aquifers, Northwest Scientific Association Annual Conference, Corvallis, OR.
[11] Fleming SW. 2004. Nonparametric statistical trend detection in hydrologic time series, Canadian Water Resources Association Workshop: Monitoring in a Changing Environment, Vancouver, BC. [Invited Presentation]
[10] Fleming SW, Moore RD, Clarke GKC. 2004. Contrasting responses of glacier- and snowmelt-fed rivers to the Arctic Oscillation and El Niño-Southern Oscillation, 2004 Canadian Geophysical Union – American Geophysical Union Joint Assembly, Montreal, PQ.
[9] Fleming SW. 2003. Ecological impacts of watershed glacial cover, Northwest Glaciology Annual Meeting, Portland, OR.
[8] Fleming SW, Clarke GKC. 2003. Water resource impacts of climatic warming vis-à-vis mountain glaciers, Canadian Meteorological and Oceanographic Society Annual Congress, Ottawa, ON.
[7] Fleming SW, Clarke GKC. 2003. Glacial moderation of streamflow variability: results from spectral and nonparametric statistical analysis, Canadian Geophysical Union Annual Meeting, Banff, AB.
[6] Fleming SW, Clarke GKC. 2002. Serial correlation and climate change signal identification in streamflow records, Canadian Water Resources Association Annual Conference, Winnipeg, MB.
[5] Fleming SW, Haggerty R. 2002. Single and multiple mass transfer rates: implications to groundwater contaminant transport at large temporal and spatial scales from deterministic and stochastic analyses, Geological Society of America Cordilleran Section Meeting, Corvallis, OR.
[4] Fleming SW, Haggerty R. 1998. Variability in effective diffusivity at the laboratory scale in the Culebra dolomite, American Geophysical Union Fall Meeting, San Francisco, CA.
[3] Fleming SW, Haggerty R. 1997. Estimating a distribution of diffusion rate coefficients from a single-well injection-withdrawal test in a fractured dolomite, American Geophysical Union Fall Meeting, San Francisco, CA.
[2] Fleming SW, Trehu AM. 1996. Central Oregon convergent margin: constraints from magnetics and gravity, American Geophysical Union Fall Meeting, San Francisco, CA.
[1] Trehu AM, Fleming SW, ten Brink U, Flueh E, Meltzer AS, Gulick SPS. 1996. Crustal structure of the Cascadia forearc beneath the Northern California and Central Oregon continental margins, American Geophysical Union Fall Meeting, San Francisco, CA.
