World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
42
Citations
9558
World Ranking
7294
National Ranking
2600

Overview

Jordan S. Read is affiliated with the United States Geological Survey in the United States. Their research primarily spans Environmental Science with focused subfields including Environmental Engineering, Endocrinology, Diabetes and Metabolism, Water Science and Technology, Nature and Landscape Conservation, and Artificial Intelligence.

The scientist's work covers several main topics, including:

  • Hydrological Forecasting Using AI
  • Hydrology and Watershed Management Studies
  • Adrenal Hormones and Disorders
  • Fish Ecology and Management Studies
  • Hormonal Regulation and Hypertension
  • Model Reduction and Neural Networks
  • Flood Risk Assessment and Management

Jordan S. Read has published extensively, including notable recent papers such as:

  • "Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles" (2021), published in ACM/IMS Transactions on Data Science
  • "Predicting Lake Surface Water Phosphorus Dynamics Using Process-Guided Machine Learning" (2020), published in Ecological Modelling
  • "Predicting Water Temperature Dynamics of Unmonitored Lakes With Meta-Transfer Learning" (2021), published in Water Resources Research
  • "Multi-Task Deep Learning of Daily Streamflow and Water Temperature" (2022), published in Water Resources Research
  • "Nothing About Us Without Us: Using Participatory Action Research (PAR) and Arts-Based Methods as Empowerment and Social Justice Tools in Doing Research with Youth 'Aging Out' of Care" (2021), published in Child Abuse & Neglect

The scientist frequently collaborates with other researchers, notably including Xiaowei Jia, Alison Appling, Jacob A. Zwart, Samantha K. Oliver, and Jeffrey M. Sadler.

Many of Read's publications appear in venues such as Endocrine Abstracts, HydroShare Resources, arXiv (Cornell University), Water Resources Research, and the 2021 IEEE International Conference on Data Mining (ICDM).

Best Publications

  • Rapid and highly variable warming of lake surface waters around the globe

    Catherine M. O'Reilly;Sapna Sharma;Derek K. Gray;Stephanie E. Hampton

  • Ecosystem Consequences of Changing Inputs of Terrestrial Dissolved Organic Matter to Lakes: Current Knowledge and Future Challenges

    Christopher T. Solomon;Stuart E. Jones;Brian C. Weidel;Ishi Buffam

  • Derivation of lake mixing and stratification indices from high-resolution lake buoy data

    Jordan S. Read;David P. Hamilton;Ian D. Jones;Kohji Muraoka

  • Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling

    Anuj Karpatne;William Watkins;Jordan S. Read;Vipin Kumar

  • Ecology under lake ice

    Stephanie E. Hampton;Aaron W.E. Galloway;Stephen M. Powers;Ted Ozersky

  • The metabolic regimes of flowing waters

    Emily S. Bernhardt;Jim B. Heffernan;Nancy B. Grimm;Emily H. Stanley

  • Process-Guided Deep Learning Predictions of Lake Water Temperature

    Jordan S. Read;Xiaowei Jia;Jared Willard;Alison P. Appling

  • Lake‐size dependency of wind shear and convection as controls on gas exchange

    Jordan S. Read;David P. Hamilton;Ankur R. Desai;Kevin C. Rose;Kevin C. Rose

  • Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles

    Xiaowei Jia;Jared Willard;Anuj Karpatne;Jordan S. Read

  • Lake microbial communities are resilient after a whole-ecosystem disturbance

    Ashley Shade;Jordan S Read;Nicholas D Youngblut;Noah Fierer

  • A global database of lake surface temperatures collected by in situ and satellite methods from 1985–2009

    Sapna Sharma;Derek K. Gray;Jordan S. Read;Catherine M. O'Reilly

  • A General Lake Model (GLM 3.0) for linking with high-frequency sensor data from the Global Lake Ecological Observatory Network (GLEON)

    Matthew R. Hipsey;Louise C. Bruce;Casper Boon;Brendan Busch

  • Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles

    Xiaowei Jia;Jared Willard;Anuj Karpatne;Jordan S. Read

  • Water quality data for national-scale aquatic research: The Water Quality Portal

    Emily K. Read;Lindsay Carr;Laura De Cicco;Hilary A. Dugan

  • Physical responses of small temperate lakes to variation in dissolved organic carbon concentrations

    Jordan S. Read;Kevin C. Rose

  • Projected shifts in fish species dominance in Wisconsin lakes under climate change

    Gretchen J. A. Hansen;Jordan S. Read;Jonathan F. Hansen;Luke A. Winslow

  • Resistance, resilience and recovery: Aquatic bacterial dynamics after water column disturbance

    Ashley Shade;Jordan S. Read;David G. Welkie;Timothy K. Kratz

  • Climate‐induced warming of lakes can be either amplified or suppressed by trends in water clarity

    Kevin C. Rose;Luke A. Winslow;Jordan S. Read;Gretchen J. A. Hansen

  • Simulating 2368 temperate lakes reveals weak coherence in stratification phenology

    Jordan S. Read;Luke A. Winslow;Gretchen J.A. Hansen;Gretchen J.A. Hansen;Jamon Van Den Hoek

  • A multi-lake comparative analysis of the General Lake Model (GLM) : Stress-testing across a global observatory network

    Louise C. Bruce;Marieke A. Frassl;Marieke A. Frassl;George B. Arhonditsis;Gideon Gal

Frequent Co-Authors

Paul C. Hanson
Paul C. Hanson University of Wisconsin–Madison
Vipin Kumar
Vipin Kumar University of Minnesota
David P. Hamilton
David P. Hamilton Griffith University
John D. Lenters
John D. Lenters University of Wisconsin–Madison
Cayelan C. Carey
Cayelan C. Carey Virginia Tech
Emily H. Stanley
Emily H. Stanley University of Wisconsin–Madison
Stephanie E. Hampton
Stephanie E. Hampton Washington State University
Matthew R. Hipsey
Matthew R. Hipsey University of Western Australia
Simon J. Hook
Simon J. Hook California Institute of Technology
Katherine D. McMahon
Katherine D. McMahon University of Wisconsin–Madison

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