S. L. Painter

    flowchart
    A[S. L. Painter]
    AC["Associated Concepts (21)"]
    AW["Authored Works (13)"]
    CA["Linked Co-Authors (24)"]
    CI["Linked Collaborating Institutions (9)"]
    A== dcterms:relation ==>AC
    AW== author ==>A
    AW== author ==>CA
    AW== affil ==>CI
    click AC "#associated-concepts"
    click AW "#authored-works"
    click CA "#co-authors"
    click CI "#collaborating-institutions"

    NI["add incoming edge"]
    NO["add outgoing edge"]
    NI-- ? -->A
    A-- ? -->NO
    click NI "#add-incoming-edge"
    click NO "#add-outgoing-edge"
    style NI stroke-width:2px,stroke-dasharray: 5 5
    style NO stroke-width:2px,stroke-dasharray: 5 5

ORCiD

https://orcid.org/0000-0002-0901-6987

OpenAlex ID

https://openalex.org/A5014179119 (API record)

Associated Concepts [?]

• Geology
• Physics
• Biology
• Engineering
• Environmental science
• Computer science
• Mathematics
• Ecology
• Geotechnical engineering
• Quantum mechanics
• Geography
• Chemistry
• Oceanography
• Hydrology (agriculture)
• Materials science
• Organic chemistry
• Paleontology
• Composite material
• Thermodynamics
• Geomorphology
• Statistics

Authored Works

sorted by decreasing year, and then by display-name

• Where and when is including underflow important for representing denitrification in the hyporheic zone?
• Uncertainty Quantification of Machine Learning Models to Improve Streamflow Prediction in Changing Climate and Environmental Conditions
• Simulating Operation Behaviors of Cascade Reservoirs Using Physics-Based Machine Learning Models: A Case Study for Gunnison River Basin
• Opportunities for using Artificial Intelligence and Machine Learning to Address Hydrological Grand Challenges
• Improved Representation of Surface and Subsurface Drainage Networks in Integrated Hydrology Models for Managed Watersheds
• Exploring Interpretability and Performance of an Attention-based Long Short-Term Memory (LSTM) Network for Rainfall-runoff Modeling
• Coupled Process Simulations Indicate that Subsidence Will Accelerate Permafrost Thaw and Lead to Drier Tundra
• Basin-scale investigations of topographic influence on permafrost thaw in ice wedge-affected landscapes
• A multiscale model for representing transport in river basins with unsteady flow
• What can we learn from multiple watershed models and observations?
• Toward more mechanistic representations of biogeochemical processes in river networks: Implementation and demonstration of a multiscale model
• Improving the Representation of the Hydro-biogeochemical Function of Stream Corridors Using Observation-informed Multiscale Modeling
• Evaluation of Machine Learning Assisted Reservoir Operation Models for Long-Term Water Management Simulation

Linked Co-Authors

• Adam S. Ward
• Ahmad Jan
• Alexander Y. Sun
• Chaopeng Shen
• Charuleka Varadharajan
• Dan Lu
• Eric M. Pierce
• Ethan T. Coon
• Helen Weierbach
• J. David Moulton
• Jared Willard
• Jitendra Kumar
• Julie D. Jastrow
• Katrina E. Bennett
• Mohammed Ombadi
• Natalie A. Griffiths
• Peishi Jiang
• Phuong Thu Le
• Pin Shuai
• Saubhagya Singh Rathore
• Shih‐Chieh Kao
• Soumendra N. Bhanja
• Sudershan Gangrade
• Xingyuan Chen

Linked Collaborating Institutions

• Argonne National Laboratory, Illinois
• Indiana University, Bloomington
• Lawrence Berkeley National Laboratory, California
• Los Alamos National Laboratory, New Mexico
• Oak Ridge National Laboratory, Tennessee
• Pacific Northwest National Laboratory
• Pennsylvania State University
• University of Minnesota, Twin Cities
• University of Texas, Austin

Add Incoming Edge

Login via ORCiD to contribute.

Add Outgoing Edge

Login via ORCiD to contribute.