K. Emma Knowland

    flowchart
    A[K. Emma Knowland]
    AC["Associated Concepts (23)"]
    AW["Authored Works (9)"]
    CA["Linked Co-Authors (18)"]
    CI["Linked Collaborating Institutions (15)"]
    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/0000-0003-0837-8502

OpenAlex ID

https://openalex.org/A5044709693 (API record)

Associated Concepts [?]

• Geography
• Physics
• Environmental science
• Meteorology
• Geology
• Climatology
• Organic chemistry
• Chemistry
• Atmospheric sciences
• Engineering
• Biology
• Ecology
• Ozone
• Troposphere
• Aerospace engineering
• Astronomy
• Oceanography
• Air quality index
• Satellite
• Computer science
• Stratosphere
• Remote sensing
• Quantum mechanics

Authored Works

sorted by decreasing year, and then by display-name

• Towards a Flexible Data Fusion Tool for Air Quality Estimation and Forecasting with a Global Scope in Google Earth Engine
• GEOS Constituent Data Assimilation beyond Aura MLS: Assimilating NASA SAGE III/ISS profiles of stratospheric water vapor and ozone
• Combining Machine Learning and Numerical Simulation for Near-Real-Time High-Resolution PM2.5 Concentration Forecast
• TEMPO Level 2 Trace Gas Retrievals Version 3
• Satellite-Based Emission Estimates of Tropospheric Bromine During Arctic Spring in the GEOS-Chem Model
• Improving Data Exploration of Earth Systems Model Data with iViz: A Powerful Easy-to-use Interactive Visualization Toolkit
• Diagnosing NASA Earth Science Models (ESM) using a live visualization environment: A novel approach
• Combining in-situ data, satellites, and models to support air quality forecasting from global to sub-city scales
• A new method for inferring city emissions and lifetimes of nitrogen oxides from high-resolution nitrogen dioxide observations: A model study

Linked Co-Authors

• Brad Weir
• C. R. Nowlan
• Can Li
• Carl Malings
• Fei Liu
• Gonzalo González Abad
• Huiqun Wang
• Jianzhao Bi
• Joanna Joiner
• K. Chance
• Krzysztof Wargan
• Nathan Pavlovic
• Pamela Wales
• R. M. Suleiman
• Randall V. Martin
• Steve Smith
• Xueliang Liu
• Yang Liu

Linked Collaborating Institutions

• Columbia University, New York
• Emory University, Georgia
• Max-Planck-Institute for Chemistry, Mainz
• McGill University, Canada
• Morgan State University, Maryland
• NASA Goddard Space Flight Center, Maryland
• Pacific Northwest National Laboratory
• Science Systems and Applications Inc., Maryland
• Seoul National University, Korea
• U.S. Environmental Protection Agency, Research Triangle Park, North Carolina
• United Nations
• University of Maryland, College Park
• University of Washington, Seattle
• Washington University in Saint Louis, Missouri
• Yonsei University, Seoul, Korea

Add Incoming Edge

Login via ORCiD to contribute.

Add Outgoing Edge

Login via ORCiD to contribute.