S. D. Peckham

    flowchart
    A[S. D. Peckham]
    AC["Associated Concepts (13)"]
    AW["Authored Works (13)"]
    CA["Linked Co-Authors (7)"]
    CI["Linked Collaborating Institutions (11)"]
    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/0000-0002-1373-2396

OpenAlex ID

https://openalex.org/A5052142792 (API record)

Associated Concepts [?]

• Computer science
• Engineering
• Geology
• Geography
• Biology
• Physics
• Environmental science
• Ecology
• Mathematics
• Operating system
• Quantum mechanics
• Paleontology
• Chemistry

Authored Works

sorted by decreasing year, and then by display-name

• Support for Spatially Gridded, Component-based Models in the Next Generation Water Resources Modeling Framework
• River Networks as Rooted, Binary Tree Graphs: Mathematical Results for a Flexible, New Random Tree Model
• Layered Green-Ampt with Redistribution: an efficient, accurate and reliable approximation of the Richards/Richardson equation
• Identifying Optimal Model Sets and Configurations in the Next Generation Water Resources Modeling Framework
• Exploring the Benefits of Machine Learning: Improving Stormflow Predictions using Long Short-Term Memory Networks
• Deploying Coupled Snow and Runoff Models in the Next Generation Water Resources Modeling Framework
• The Next Generation Water Resources Modeling Framework: Open Source, Standards Based, Community Accessible, Model Interoperability for Large Scale Water Prediction
• Next Generation National Water Model: Strategy and Preliminary Performance of Initial Model Formulations
• Linking Arbitrary Hydrologic and Hydraulic Models and Process Modules into a Single Prediction Runtime Using the Basic Model Interface: A Domain Science Perspective
• Linking Arbitrary Hydrologic and Hydraulic Models and Process Modules into a Single Prediction Runtime Using the Basic Model Interface for Continental Scale Hydrologic Predictions
• Extensions to the Basic Model Interface to Support Serialization of a Model's State Variables for Load Balancing and Checkpointing
• Deep learning for the Next Generation U.S. National Water Model
• An Enhanced Noah-MP for Nextgen: Modularization and Implementation of the Basic Model Interface

Linked Co-Authors

• A. W. Wood
• Ahmad Jan
• Brian Avant
• Ethan T. Coon
• Jonathan Frame
• K. S. Jennings
• N. Frazier

Linked Collaborating Institutions

• Army Corps of Engineers
• California State University, Monterey Bay
• Johannes Kepler University, Linz, Austria
• Los Alamos National Laboratory, New Mexico
• National Center for Atmospheric Research, Colorado
• National Oceanic and Atmospheric Administration, Washington
• Oak Ridge National Laboratory, Tennessee
• United States Army
• University of Alabama, Tuscaloosa
• University of Colorado, Boulder
• University of Nevada, Reno

Add Incoming Edge

Login via ORCiD to contribute.

Add Outgoing Edge

Login via ORCiD to contribute.