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  2. Jonathan Poterjoy
Member Since 2012
Jonathan Poterjoy
Associate Professor, University of Maryland College Park
Member, Nonlinear Geophysics Fellows Committee; Associate Editor, Journal of Advances in Modeling Earth Systems
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Professional Experience
University of Maryland College Park
Associate Professor
2018 - Present
National Center for Atmospheric Research
Postdoc fellow
2014 - 2016
Pennsylvania State University
Graduate Student
2009 - 2014
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Education
Pennsylvania State University
Doctorate
2014
Jonathan's AGU Research
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Investigating the Temporal Variations of Neptune’s Stratospheric Winds Using an Incremental Variational Framework
THE ICE GIANTS: INVESTIGATING THE PLANETARY SYSTEMS OF URANUS AND NEPTUNE II ORAL
planetary sciences | 19 december 2025
Evaluating the Utility of IMERG and Tail-Doppler Radar for Understanding Tropical Cyclone Precipitation Patterns
TROPICAL CYCLONES: OBSERVATIONS, MODELING, AND PREDICTABILITY—TODAY AND INTO THE FUTURE V POSTER
atmospheric sciences | 13 december 2024
New sea ice and ice sheet OSSE frameworks for determining ice topography science requirements from a future STV mission
SCIENCE GOALS, MEASUREMENT NEEDS, AND TECHNICAL ADVANCES TOWARD ACHIEVING NASA’S SURFACE TOPOGRAPHY AND VEGETATION TARGETED OBSERVABLE I POSTER
global environmental change | 13 december 2024
Assimilating measurements with state-dependent non-Gaussian errors
NUMERICAL MODELING, DATA ASSIMILATION, AND RESEARCH TO OPERATIONS (R2O) FOR BETTER FORECASTING OF HIGH-IMPACT WEATHER EVENTS II POSTER
atmospheric sciences | 12 december 2024
Assessing Structural Differences of Analysis Error Covariance between Ensemble Kalman Filters and Local Particle Filters
NUMERICAL MODELING, DATA ASSIMILATION, AND RESEARCH TO OPERATIONS (R2O) FOR BETTER FORECASTING OF HIGH-IMPACT WEATHER EVENTS II POSTER
atmospheric sciences | 12 december 2024
Advancing Methodologies for Uninterrupted, Basin-Wide Data Assimilation in the Hurricane Analysis and Forecast System (HAFS)
NUMERICAL MODELING, DATA ASSIMILATION, AND RESEARCH TO OPERATIONS (R2O) FOR BETTER FORECASTING OF HIGH-IMPACT WEATHER EVENTS I ORAL
atmospheric sciences | 12 december 2024
Innovation-based Methods for Estimating Observation Uncertainty During Data Assimilation
ADVANCES IN DATA ASSIMILATION, DATA FUSION, MACHINE LEARNING, PREDICTABILITY, AND UNCERTAINTY QUANTIFICATION IN THE GEOSCIENCES I ORAL
nonlinear geophysics | 09 december 2024
Using Diffusion Maps to Quantify DA-Induced Imbalances in Mixed-Phase Convective Clouds
ADVANCES IN DATA ASSIMILATION, DATA FUSION, MACHINE LEARNING, PREDICTABILITY, AND UNCERTAINTY QUANTIFICATION IN THE GEOSCIENCES III POSTER
nonlinear geophysics | 09 december 2024
Volunteer Experience
2021 - 2027
Associate Editor
Journal of Advances in Modeling Earth Systems
2025 - 2026
Member
Nonlinear Geophysics Fellows Committee