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Jonathan Poterjoy
Has grant
Associate Professor
Research Interests
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About
Jonathan Poterjoy is an Assistant Professor at the University of Maryland, USA. His research areas include data assimilation, weather prediction, and statistical methods for adaptive filtering techniques. His recent publications focus on challenges in observation error estimation, blending particle and ensemble Kalman filters, and the implications of multivariate non-Gaussian data for multi-scale weather prediction.
Recent Grants
Grant: Open
Advancing polar sea ice prediction with PREFIRE radiance observations and next-generation data assimilation methods
Open Date: 2026-06-01
Close Date: 2029-05-01
Grant: Open
A Multi-University Consortium for Advanced Data Assimilation Research and Education (CADRE)
Open Date: 2024-03-01
Close Date: 2027-03-01
Grant: Open
Non-Gaussian Ensemble Data Assimilation within a Rapidly Updating Global Prediction System
Open Date: 2023-09-01
Close Date: 2027-08-01
Grant: Close
Multi-institution Collaborative Proposal: Integration of a Fully Functional Atmospheric UFS-HAFS into JEDI with Weakly Coupled Ocean Data Assimilation Capability
Open Date: 2022-09-01
Close Date: 2026-08-01
Grant: Open
Online Uncertainty Quantification for Novel Atmospheric Measurements
Open Date: 2022-01-01
Close Date: 2026-12-31
Articles (14)
Year:
2026
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2025
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2025
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2025
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2023
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2022
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2022
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2022
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2022
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2022
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2021
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2021
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2021
Year:
2020
Collaborators (5)
Kenta Kurosawa
Assistant Professor
Chiba University
Peter Jan van Leeuwen
Professor in Data Assimilation and Nonlinear Dynamics
Colorado State University
Alek A. Petty
Assistant Reseach Scientist
University of Maryland
Chengsi Liu
University of Oklahoma
Cheng-hsuan Lu
Senior Research Scientist
University Corporation for Atmospheric Research
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