Asti Bhatt

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    A[Asti Bhatt]
    AC["Associated Concepts (20)"]
    AW["Authored Works (16)"]
    CA["Linked Co-Authors (38)"]
    CI["Linked Collaborating Institutions (23)"]
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    click AW "#authored-works"
    click CA "#co-authors"
    click CI "#collaborating-institutions"

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ORCiD

https://orcid.org/0000-0002-8881-5348

OpenAlex ID

https://openalex.org/A5081217452 (API record)

Associated Concepts [?]

• Physics
• Geology
• Geography
• Astronomy
• Computer science
• Meteorology
• Quantum mechanics
• Engineering
• Geophysics
• Remote sensing
• Environmental science
• Ionosphere
• Optics
• Nuclear physics
• Aerospace engineering
• Plasma
• Atmospheric sciences
• Biology
• Operating system
• Telecommunications

Authored Works

sorted by decreasing year, and then by display-name

• Velocity of SuperDARN Echoes Received via 1&1/2-hop Propagation Path
• Traveling atmospheric and ionospheric disturbances: A perspective from MANGO DASI optical network
• Observations of winds and waves in the mid-latitude MLT made by the MANGO DASI network
• NSF Incoherent Scatter Radar Summer School: An Interactive, Intensive Training Opportunity for Fundamental Remote Sensing of Earth's Upper Atmosphere
• Ionospheric and Atmospheric Observations of Hunga Tonga–Hunga Ha'apai Eruption-Generated Acoustic-Gravity Waves over the Continental United States
• Interpolation of 3D AMISR Data for Model Integration
• Challenges and Solutions in Data Fusion of Multi-Source Observations
• Assimilative Mapping of Geospace Observations (AMGeO): Building a Community for Collaborative Geospace Data Science
• Using Containers to Support Reproducible Science in the Integrated Geoscience Observatory (InGeO).
• Thermospheric wind observations over the West Coast of the continental US: First results from DASI network of optical instrumentation
• How do we use space weather data effectively and optimally?
• Ground magnetic field perturbation forecasting based on deep learning on spherical harmonics decomposition
• First results from the DASI network of thermospheric green line airglow imagers to study I-T coupling
• Describing the Upper Atmosphere using Machine Learning to investigate long-term observational data sets
• Comparative Study of SAR Arcs as Observed by MANGO Network Imagers between 2014 - 2019
• Assimilative Mapping of Geospace Observations (AMGeO): Data Science Tools for Collaborative Geospace Systems Science

Linked Co-Authors

• A. J. Coster
• A. S. Reimer
• A. V. Koustov
• B. J. Anderson
• Banafsheh Ferdousi
• Brian J. Harding
• Claudia Stolle
• Denise Thorsen
• Donald Hampton
• E. MacDonald
• G. W. Perry
• J. B. Snively
• J. J. Makela
• J. L. Semeter
• J. M. Ruohoniemi
• Katherine Garcia‐Sage
• L. J. Paxton
• L. M. Kilcommons
• Leslie Lamarche
• Luis A. Navarro
• M. Conde
• Michael Greffen
• O. F. Jonah
• P. J. Erickson
• Pablo Reyes
• Padma Venkatraman
• Pavel Inchin
• R. H. Varney
• R. J. Redmon
• R. L. Collins
• Ryan McGranaghan
• S. K. Vines
• S. Raizada
• Shibaji Chakraborty
• T. A. Valentic
• Tomoko Matsuo
• Vishal Upendran
• Л. П. Гончаренко

Linked Collaborating Institutions

• Atmospheric & Space Technology Research Associates (ASTRA)
• Duke University, North Carolina
• Geophysical Institute of Peru
• Haystack Observatory
• Helmholtz Center for Geosciences, Potsdam
• Inter-University Centre for Astronomy and Astrophysics, India
• Johns Hopkins University, Applied Physics Laboratory
• Lockheed Martin, Palo Alto
• NASA Goddard Space Flight Center, Maryland
• National Centers for Environmental Information
• New Jersey Institute of Technology
• Stanford Research Institute, California
• University of Alaska, Fairbanks
• University of California, Berkeley
• University of California, Los Angeles
• University of Colorado, Boulder
• University of Dayton, Ohio
• University of Illinois, Urbana-Champaign
• University of New Hampshire
• University of Oxford, UK
• University of Reading, UK
• University of Saskatchewan, Canada
• Virginia Polytechnic Institute and State University

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