A. M. Keesee
- ORCiD
- https://orcid.org/0000-0002-9719-3229
- OpenAlex ID
- https://openalex.org/A5051491151 (API record)
Associated Concepts [?]
- Physics
- Quantum mechanics
- Nuclear physics
- Plasma
- Magnetic field
- Chemistry
- Geology
- Organic chemistry
- Geography
- Ion
- Meteorology
- Magnetosphere
- Atomic physics
- Astronomy
- Computer science
- Materials science
- Engineering
- Geophysics
- Solar wind
- Earth's magnetic field
- Optics
- Environmental science
- Oceanography
Authored Works
sorted by decreasing year, and then by display-name
- The University of Alaska Space Weather Underground Program: Student-built magnetometer array using unique construction and deployment techniques.
- The University of Alaska Space Weather UnderGround Educator Development Program
- The MAGICIAN Project: Machine Learning, Data Collection, and Education for Space Science Research
- Resurrecting IMAGE MENA data for M-I comparisons with FUV data
- Observations of Magnetotail Structures in Comparison to the Substorm Current Wedge Location
- Multiscale Magnetosphere-Ionosphere Coupling During Stormtime: A Case Study of the Dawnside Current Wedge
- Mesoscale Processes in the Magnetosphere: The Elusive Mode of Plasma Transport and Energization and the Measurements Needed to Bring it to Light.
- Investigating the Influence of Inner Magnetosphere Data on a Regional Geomagnetically Induced Current Forecasting Model
- Increasing Recognition of UnderrepresentedSpace Scientists: Lessons Learned from theNomination Task Force Continued Success
- High-latitude ionospheric electrodynamics specification using the machine-learning based ionosphere models
- Forecasting of Extreme Ground Magnetic Field Fluctuations at Mid-Latitudes using Machine Learning
- Forecasting Ground Magnetic Perturbations at High and Mid-Latitudes Using Deep Learning and Near Real-Time Solar Wind Data
- Enhancing Equity, Diversity and Inclusion in Space Weather Science - The Center for Geospace Storms (CGS) Broadening Impacts Strategies
- Constructing a Machine Learned Global Geomagnetic Field Prediction Model from Magnetic Local Time Dependent Multi-Layer Perceptron Neural Networks
- Connecting the Multi-spacecraft In-situ Observations of the Storm-time Mesoscale Structures Inside the Magnetosphere Using ENA Observations by TWINS
- Comparing Magnetotail Dynamics Using TWINS and THEMIS
- Characterizing Geomagnetic Storm Data for Machine Learning Models of Geomagnetically Induced Currents
- A Statistical Study of Regions of Enhanced Ion Temperatures in the Magnetotail in the TWINS Ion Temperature Maps
- A Self-Supervised Semi-Supervised Approach to Automatic Classification of THEMIS All-Sky Images
- Using Energetic Neutral Atom (ENA) Imaging to Understand Global Transport in Geospace During Active Intervals
- Using Convolutional Neural Networks and Long-Short Term Machine Learning Models to Provide Insights into GIC Drivers and Risk of Occurrence.
- Uncertainty Quantification and Optimal Time Domain Estimation for Geomagnetic Storm Prediction: A Bayesian Ensemble Machine Learning Approach
- UAF Space Weather UnderGround Program: A Student-Built Magnetometer Array in Alaska for Space Science Research
- Towards a multi-scale predictive model of the high-latitude ionospheric convection
- The Ring Current as a Critical Element in the Geospace System
- Mesoscale Features in Global Response to CME Driven Event
- Machine Learning Models as an Alternative to Standard Interpolation Techniques for Estimating OMNI Data Gaps
- MAGICIAN Project: Machine Learning, Data Collection, and Education for Space Science Research
- Implementing an Ensemble Model Approach for Geomagnetic Field Disturbance Predictions in Alaska utilizing Multivariate LSTM Neural Networks
- Forecasting Ground-Level Magnetic Perturbations Using a Spherical Elementary Current System
- Establishing a benchmark for ground magnetic field perturbations predictions using machine learning models
- Developing a Pathway toward Justice, Equity, Diversity, and Inclusion (JEDI) through Recruitment, Collaboration, and Research at the Institute for the Study of Earth, Oceans, and Space (EOS) at the University of New Hampshire (UNH)
- Comparing Tail Dynamics Using TWINS and THEMIS
- Community Based Solar Eclipse Outreach in Rural Appalachia
Linked Co-Authors
- Adam Michael
- Agnit Mukhopadhyay
- Alexandra Padilla
- Alexandra R. Contosta
- Allison Jaynes
- B. J. Anderson
- B. Kunduri
- Banafsheh Ferdousi
- C. Mouikis
- Charles W. Smith
- Christine Gabrielse
- Donald Hampton
- Dong Lin
- Doğacan Öztürk
- E. G. Thomas
- E. MacDonald
- Elizabeth Weidner
- H. K. Connor
- Harlan E. Spence
- J. H. Westlake
- J. Jahn
- J. Raeder
- J. Tibbetts
- J. W. Gjerloev
- Jeremiah Johnson
- Jiang Liu
- Jone Peter Reistad
- K. A. McWilliams
- Kareem Sorathia
- Kevin Pham
- L. M. Kistler
- M. Burleigh
- M. F. Bashir
- M. G. Henderson
- M. Gkioulidou
- M. Hartinger
- Michael W. Liemohn
- N. Buzulukova
- Natalia Ganushkina
- Qusai Al Shidi
- R. Ilie
- R. K. Varner
- Romina Nikoukar
- S. G. Claudepierre
- S. Ohtani
- Scott V. Ollinger
- Shan Zuidema
- Shanshan Bao
- V. A. Pinto
- V. G. Merkin
- V. Sai Gowtam
- X. Zhang
Linked Collaborating Institutions
- Aerospace Corporation, California
- Atmospheric & Space Technology Research Associates (ASTRA)
- Boston University, Massachusetts
- Dartmouth College, New Hampshire
- Eastern Michigan University
- Helmholtz Center for Geosciences, Potsdam
- Howard University, Washington DC
- Johns Hopkins University, Applied Physics Laboratory
- Los Alamos National Laboratory, New Mexico
- NASA Goddard Space Flight Center, Maryland
- National Center for Atmospheric Research, Colorado
- Rice University, Texas
- Southwest Research Institute, Texas
- Space Science Institute, Colorado
- UMass Lowell
- University of Alaska, Fairbanks
- University of Alaska, Fairbanks, Geophysical Institute
- University of Bergen, Norway
- University of California, Los Angeles
- University of Colorado, Boulder
- University of Illinois, Urbana-Champaign
- University of Michigan
- University of New Hampshire
- University of Saskatchewan, Canada
- University of Texas, Arlington
- Virginia Polytechnic Institute and State University
- West Virginia University
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