Sarah Fletcher
Assistant Professor of Civil and Environmental Engineering and Center Fellow at the Woods Institute for the Environment
Web page: http://fletcherlab.science
Bio
The Fletcher lab aims to advance water resources management to promote resilient and equitable responses to a changing world. Our research integrates methods from hydrology, policy analysis, and data science to inform decision-making around critical environmental challenges. Our approach centers partnership for real-world impact.
Academic Appointments
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Assistant Professor, Civil and Environmental Engineering
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Center Fellow, Stanford Woods Institute for the Environment
Honors & Awards
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Best Policy Oriented Paper, Journal of Water Resources Planning and Management (2024)
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CAREER Award, National Science Foundation (2024)
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Inspiring Early Academic Career Award, Stanford Faculty Women’s Forum (2024)
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Young Investigator Lecture, Caltech Resnick Sustainability Institute (2023)
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Editor’s Choice Paper, Journal of Water Resources Planning and Management (2022)
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1st Place Doctoral Thesis, Academic Achievement Award, American Water Works Association (2019)
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Editor’s Choice Paper, Journal of Water Resources Planning and Management (2018)
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Best Presentation, Technology Management and Policy Consortium (2017)
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Outstanding Student Paper Award, AGU (2017)
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Outstanding Student Paper Award, AGU (2016)
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Graduate Research Fellowship, National Science Foundation (2015)
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Best Thesis, MIT Technology and Policy Program (2012)
Professional Education
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BA, University of Pennsylvania, Physics; Economics (2010)
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MS, Massachusetts Institute of Technology, Technology and Policy (2012)
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PhD, Massachusetts Institute of Technology, Engineering Systems (2018)
Current Research and Scholarly Interests
The Fletcher lab aims to advance water resources management to promote resilient and equitable responses to a changing world. We study water resources and climate change adaptation from a socio-technical systems perspective. Our research integrates methods from hydrology, policy analysis, and data science to inform decision-making around critical environmental challenges.
2024-25 Courses
- Addressing deep uncertainty in systems models for sustainability
CEE 366A (Spr) - Stochastic Hydrology
CEE 266F (Win) - Water Resources Systems Analysis
CEE 266G (Aut) -
Independent Studies (8)
- Advanced Engineering Problems
CEE 399 (Aut, Win, Spr, Sum) - Directed Reading or Special Studies in Civil Engineering
CEE 198 (Aut, Win, Spr, Sum) - Independent Project in Civil and Environmental Engineering
CEE 199L (Aut, Win, Spr, Sum) - Independent Project in Civil and Environmental Engineering
CEE 299L (Aut, Win, Spr, Sum) - Independent Study in Civil Engineering for CEE-MS Students
CEE 299 (Aut, Win, Spr, Sum) - Report on Civil Engineering Training
CEE 398 (Aut, Win, Spr, Sum) - Undergraduate Honors Thesis
CEE 199H (Aut, Win, Spr, Sum) - Undergraduate Research in Civil and Environmental Engineering
CEE 199 (Aut, Win, Spr, Sum)
- Advanced Engineering Problems
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Prior Year Courses
2023-24 Courses
- Citizenship in the 21st Century
COLLEGE 102 (Win) - Stochastic Hydrology
CEE 266F (Win)
2022-23 Courses
- Addressing deep uncertainty in systems models for sustainability
CEE 366A (Win) - Water Resources Systems Analysis
CEE 266G (Aut)
2021-22 Courses
- Stochastic Hydrology
CEE 266F (Win) - Water Resources Systems Analysis
CEE 266G (Aut)
- Citizenship in the 21st Century
Stanford Advisees
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Doctoral Dissertation Reader (AC)
Emily Mongold -
Doctoral Dissertation Advisor (AC)
Jenny Skerker, Keani Willebrand, Mofan Zhang -
Master's Program Advisor
Tanya Arora, Jinhan Cai, Astrid Li, Hailey Lu, Tyler Maxwell, Mayuri Namasivayam, Adria Nyarko -
Doctoral (Program)
Gina Kittleson, Greta Markey, Aniket Verma, Keani Willebrand, Mofan Zhang
All Publications
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Alternative household water affordability metrics using water bill delinquency behavior
ENVIRONMENTAL RESEARCH LETTERS
2024; 19 (7)
View details for DOI 10.1088/1748-9326/ad5609
View details for Web of Science ID 001251409200001
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Quantifying the Value of Technology and Policy Innovation in Water Resource Portfolios
EARTHS FUTURE
2024; 12 (5)
View details for DOI 10.1029/2023EF004167
View details for Web of Science ID 001264025800001
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Equity and modeling in sustainability science: Examples and opportunities throughout the process.
Proceedings of the National Academy of Sciences of the United States of America
2024; 121 (13): e2215688121
Abstract
Equity is core to sustainability, but current interventions to enhance sustainability often fall short in adequately addressing this linkage. Models are important tools for informing action, and their development and use present opportunities to center equity in process and outcomes. This Perspective highlights progress in integrating equity into systems modeling in sustainability science, as well as key challenges, tensions, and future directions. We present a conceptual framework for equity in systems modeling, focused on its distributional, procedural, and recognitional dimensions. We discuss examples of how modelers engage with these different dimensions throughout the modeling process and from across a range of modeling approaches and topics, including water resources, energy systems, air quality, and conservation. Synthesizing across these examples, we identify significant advances in enhancing procedural and recognitional equity by reframing models as tools to explore pluralism in worldviews and knowledge systems; enabling models to better represent distributional inequity through new computational techniques and data sources; investigating the dynamics that can drive inequities by linking different modeling approaches; and developing more nuanced metrics for assessing equity outcomes. We also identify important future directions, such as an increased focus on using models to identify pathways to transform underlying conditions that lead to inequities and move toward desired futures. By looking at examples across the diverse fields within sustainability science, we argue that there are valuable opportunities for mutual learning on how to use models more effectively as tools to support sustainable and equitable futures.
View details for DOI 10.1073/pnas.2215688121
View details for PubMedID 38498705
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Valuing Combinations of Flexible Planning, Design, and Operations in Water Supply Infrastructure
WATER RESOURCES RESEARCH
2024; 60 (3)
View details for DOI 10.1029/2023WR036048
View details for Web of Science ID 001188227800001
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Bayesian Estimation of Advanced Warning Time of Precipitation Emergence
EARTHS FUTURE
2024; 12 (2)
View details for DOI 10.1029/2023EF004079
View details for Web of Science ID 001153012600001
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Predicting and understanding residential water use with interpretable machine learning
ENVIRONMENTAL RESEARCH LETTERS
2024; 19 (1)
View details for DOI 10.1088/1748-9326/ad1434
View details for Web of Science ID 001138590500001
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Socio-hydrological impacts of rate design on water affordability during drought
ENVIRONMENTAL RESEARCH LETTERS
2023; 18 (12)
View details for DOI 10.1088/1748-9326/ad0994
View details for Web of Science ID 001100898400001
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Climate oscillation impacts on water supply augmentation planning.
Proceedings of the National Academy of Sciences of the United States of America
2023; 120 (35): e2215681120
Abstract
Climate oscillations ranging from years to decades drive precipitation variability in many river basins globally. As a result, many regions will require new water infrastructure investments to maintain reliable water supply. However, current adaptation approaches focus on long-term trends, preparing for average climate conditions at mid- or end-of-century. The impact of climate oscillations, which bring prolonged and variable but temporary dry periods, on water supply augmentation needs is unknown. Current approaches for theory development in nature-society systems are limited in their ability to realistically capture the impacts of climate oscillations on water supply. Here, we develop an approach to build middle-range theory on how common climate oscillations affect low-cost, reliable water supply augmentation strategies. We extract contrasting climate oscillation patterns across sub-Saharan Africa and study their impacts on a generic water supply system. Our approach integrates climate model projections, nonstationary signal processing, stochastic weather generation, and reinforcement learning-based advances in stochastic dynamic control. We find that longer climate oscillations often require greater water supply augmentation capacity but benefit more from dynamic approaches. Therefore, in settings with the adaptive capacity to revisit planning decisions frequently, longer climate oscillations do not require greater capacity. By building theory on the relationship between climate oscillations and least-cost reliable water supply augmentation, our findings can help planners target scarce resources and guide water technology and policy innovation. This approach can be used to support climate adaptation planning across large spatial scales in sectors impacted by climate variability.
View details for DOI 10.1073/pnas.2215681120
View details for PubMedID 37599444
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Quantifying the Value of Learning for Flexible Water Infrastructure Planning
WATER RESOURCES RESEARCH
2023; 59 (6)
View details for DOI 10.1029/2022WR034412
View details for Web of Science ID 001004878800001
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Multi-scale planning model for robust urban drought response
ENVIRONMENTAL RESEARCH LETTERS
2023; 18 (5)
View details for DOI 10.1088/1748-9326/acceb5
View details for Web of Science ID 000980294700001
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FIND: A Synthetic weather generator to control drought Frequency, Intensity, and Duration
ENVIRONMENTAL MODELLING & SOFTWARE
2023; 172
View details for DOI 10.1016/j.envsoft.2023.105927
View details for Web of Science ID 001137595000001
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Equity in Water Resources Planning: A Path Forward for Decision Support Modelers
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
2022; 148 (7)
View details for DOI 10.1061/(ASCE)WR.1943-5452.0001573
View details for Web of Science ID 000796073900005
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Multicriteria, Multiresolution Modeling of Suburban Residential Landscape Alternatives: Water-Efficient Villas in the Arid Middle East
JOURNAL OF URBAN PLANNING AND DEVELOPMENT
2022; 148 (2)
View details for DOI 10.1061/(ASCE)UP.1943-5444.0000803
View details for Web of Science ID 000782624000033
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Spatiotemporal monsoon characteristics and maize yields in West Africa
ENVIRONMENTAL RESEARCH COMMUNICATIONS
2021; 3 (12)
View details for DOI 10.1088/2515-7620/ac3776
View details for Web of Science ID 000730998900001
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Joint inference of CFC lifetimes and banks suggests previously unidentified emissions.
Nature communications
2021; 12 (1): 2920
Abstract
Chlorofluorocarbons (CFCs) are harmful ozone depleting substances and greenhouse gases. CFC production was phased-out under the Montreal Protocol, however recent studies suggest new and unexpected emissions of CFC-11. Quantifying CFC emissions requires accurate estimates of both atmospheric lifetimes and ongoing emissions from old equipment (i.e. 'banks'). In a Bayesian framework we simultaneously infer lifetimes, banks and emissions of CFC-11, 12 and 113 using available constraints. We find lifetimes of all three gases are likely shorter than currently recommended values, suggesting that best estimates of inferred emissions are larger than recent evaluations. Our analysis indicates that bank emissions are decreasing faster than total emissions, and we estimate new, unexpected emissions during 2014-2016 were 23.2, 18.3, and 7.8 Gg/yr for CFC-11, 12 and 113, respectively. While recent studies have focused on unexpected CFC-11 emissions, our results call for further investigation of potential sources of emissions of CFC-12 and CFC-113, along with CFC-11.
View details for DOI 10.1038/s41467-021-23229-2
View details for PubMedID 34006851
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The COVID-19 lockdowns: a window into the Earth System
NATURE REVIEWS EARTH & ENVIRONMENT
2020; 1 (9): 470-481
View details for DOI 10.1038/s43017-020-0079-1
View details for Web of Science ID 000649448400008