S. A. Margulis

    flowchart
    A[S. A. Margulis]
    AC["Associated Concepts (25)"]
    AW["Authored Works (10)"]
    CA["Linked Co-Authors (30)"]
    CI["Linked Collaborating Institutions (18)"]
    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/0000-0001-7581-2511

OpenAlex ID

https://openalex.org/A5064340746 (API record)

Associated Concepts [?]

• Geography
• Physics
• Geology
• Meteorology
• Environmental science
• Geomorphology
• Snow
• Engineering
• Climatology
• Biology
• Remote sensing
• Computer science
• Ecology
• Mathematics
• Quantum mechanics
• Atmospheric sciences
• Data assimilation
• Oceanography
• Physical geography
• Astronomy
• Aerospace engineering
• Optics
• Geotechnical engineering
• Statistics
• Cartography

Authored Works

sorted by decreasing year, and then by display-name

• What Can We Learn about Snow-streamflow Droughts from the Extreme Case over the Western U.S. in 2021?
• Toward a global mountain seasonal snow reanalysis: Lessons learned from recent applications and future needs
• Modelling of Effects of Rough Surface and Forests on P Band Reflectometry for Snow Remote Sensing
• Advances in Inverse Streamflow Routing: Estimating Runoff from Discharge Measurements
• A global framework for SWOT discharge with examples from the Ohio River
• Learning from the past: downscaling snow deposition using historic snow accumulation patterns
• Inverse Streamflow Routing: Toward Runoff-Based Calibration of Distributed Hydrologic Models
• Improving the estimation of snow water equivalent in a Linear Regression Model using remotely sensed snow cover data
• From space-borne snow observation to seamless snow water resource information: making the most of cutting-edge snow measurements from space
• Assessing changes in terrestrial and aquatic snow-driven habitat using climate change analogues

Linked Co-Authors

• Angelica Tarpanelli
• Augusto Getirana
• Ben Livneh
• C. J. Gleason
• Craig Brinkerhoff
• Cédric H. David
• Dennis P. Lettenmaier
• Dongyue Li
• Elizabeth H. Altenau
• George H. Allen
• J. Schaperow
• Justin Pflug
• K. N. Musselman
• Luciana Fenoglio-Marc
• Michael Durand
• Mimi Hughes
• Ming Pan
• Mohammad J. Tourian
• N. P. Molotch
• Paul Bates
• Rashmi Shah
• Renato Prata de Moraes Frasson
• Robert W. Dudley
• S. P. Coss
• Safat Sikder
• Simon Yueh
• T. H. Painter
• T. Pavelsky
• Xiaoyu Ma
• Yiwen Fang

Linked Collaborating Institutions

• Italian National Research Council, Perugia
• Jet Propulsion Laboratory
• Kansas State University
• NASA Goddard Space Flight Center, Maryland
• National Oceanic and Atmospheric Administration, Boulder
• Peking University, China
• Rheinische Friedrich Wilhelms University of Bonn, Germany
• Technical University of Darmstadt, Germany
• Texas A&M University, College Station
• The Ohio State University
• UMass Amherst
• University of Bristol, UK
• University of California, Los Angeles
• University of Colorado, Boulder
• University of Michigan
• University of North Carolina, Chapel Hill
• University of Stuttgart, Institute for Geodesy
• University of Washington, Seattle

Add Incoming Edge

Login via ORCiD to contribute.

Add Outgoing Edge

Login via ORCiD to contribute.