Stephen G. Penny

2.2k total citations
50 papers, 928 citations indexed

About

Stephen G. Penny is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Stephen G. Penny has authored 50 papers receiving a total of 928 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Atmospheric Science, 28 papers in Global and Planetary Change and 24 papers in Oceanography. Recurrent topics in Stephen G. Penny's work include Meteorological Phenomena and Simulations (31 papers), Climate variability and models (26 papers) and Oceanographic and Atmospheric Processes (20 papers). Stephen G. Penny is often cited by papers focused on Meteorological Phenomena and Simulations (31 papers), Climate variability and models (26 papers) and Oceanographic and Atmospheric Processes (20 papers). Stephen G. Penny collaborates with scholars based in United States, Japan and United Kingdom. Stephen G. Penny's co-authors include Eugenia Kalnay, Takemasa Miyoshi, Thomas M. Hamill, James A. Carton, Vladimir M. Krasnopolsky, Jose-Henrique Alves, Ricardo M. Campos, David Behringer, Henry D. I. Abarbanel and Timothy A. Smith and has published in prestigious journals such as PLoS ONE, Journal of Climate and Geophysical Research Letters.

In The Last Decade

Stephen G. Penny

43 papers receiving 912 citations

Peers

Countries citing papers authored by Stephen G. Penny

Since Specialization

Citations

This map shows the geographic impact of Stephen G. Penny's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Stephen G. Penny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen G. Penny more than expected).

Fields of papers citing papers by Stephen G. Penny

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen G. Penny. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Stephen G. Penny. The network helps show where Stephen G. Penny may publish in the future.

Co-authorship network of co-authors of Stephen G. Penny

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen G. Penny. A scholar is included among the top collaborators of Stephen G. Penny based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stephen G. Penny. Stephen G. Penny is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Numerical Weather Prediction Model Coupling—Strategies, Challenges, and Outlook 2025 ·Bulletin of the American Meteorological Society ·(unknown), (unknown), Jasper Denissen, (unknown), Sarah Keeley, Peter Dueben, Stephen G. Penny, (unknown), Diego G. Miralles, (unknown), (unknown), Ian A. Renfrew, Lorenzo Zampieri, Rajesh Kumar, (unknown), Jan-Peter Schulz, Lichuan Wu, (unknown)	0
2	Improved GODAS reanalysis with MOM5 and impact of altimeter assimilation 2025 ·Modeling Earth Systems and Environment ·Hasibur Rahaman, Samir Pokhrel, Subodh Kumar Saha, (unknown), Stephen G. Penny, Eric Hackert, James A. Carton, (unknown), T. Srinivasa Kumar, (unknown)	0
3	4D‐Var Using Hessian Approximation and Backpropagation Applied to Automatically Differentiable Numerical and Machine Learning Models 2025 ·Journal of Advances in Modeling Earth Systems ·Kylen Solvik, Stephen G. Penny, Stephan Hoyer	0
4	Machine Learned Empirical Numerical Integrator from Simulated Data 2025 ·(unknown), Stephen G. Penny, Timothy A. Smith, (unknown)	0
5	Forecasting energy poverty using different machine learning techniques for Missouri 2024 ·Energy ·(unknown), Neil I. Fox, Anthony R. Lupo, Sue Ellen Haupt, Stephen G. Penny, Steve J. Miller, (unknown), Michael E. Sykuta, (unknown)	3
6	xesn: Echo state networks powered by Xarray andDask 2024 ·The Journal of Open Source Software ·Timothy A. Smith, Stephen G. Penny, (unknown), (unknown)	0
7	Temporal Subsampling Diminishes Small Spatial Scales in Recurrent Neural Network Emulators of Geophysical Turbulence 2023 ·Journal of Advances in Modeling Earth Systems ·Timothy A. Smith, Stephen G. Penny, (unknown), (unknown)	3
8	Improvements of Lagrangian Data Assimilation Tested in the Gulf of Mexico 2023 ·Monthly Weather Review ·(unknown), (unknown), James A. Carton, Stephen G. Penny	0
9	Integrating Recurrent Neural Networks With Data Assimilation for Scalable Data‐Driven State Estimation 2022 ·Journal of Advances in Modeling Earth Systems ·Stephen G. Penny, Timothy A. Smith, (unknown), (unknown), (unknown), (unknown), Henry D. I. Abarbanel	34
10	Identifying Efficient Ensemble Perturbations for Initializing Subseasonal‐To‐Seasonal Prediction 2022 ·Journal of Advances in Modeling Earth Systems ·(unknown), Stephen G. Penny, Stéphane Vannitsem	7
11	A Regional Hybrid Gain Data Assimilation System and Preliminary Evaluation Based on Radio Occultation Reflectivity Assimilation 2022 ·SOLA ·(unknown), Shu‐Chih Yang, Stephen G. Penny	3
12	A systematic exploration of reservoir computing for forecasting complex spatiotemporal dynamics 2022 ·Neural Networks ·(unknown), Stephen G. Penny, Timothy A. Smith, (unknown), Henry D. I. Abarbanel	31
13	Subseasonal Forecast Skill Improvement From Strongly Coupled Data Assimilation With a Linear Inverse Model 2022 ·Geophysical Research Letters ·Gregory J. Hakim, Chris Snyder, Stephen G. Penny, Matthew Newman	3
14	Using Process Studies to Improve Climate Modeling: Strategies for Success 2021 ·Bulletin of the American Meteorological Society ·Janet Sprintall, Victoria J. Coles, Kevin A. Reed, Amy H. Butler, Gregory R. Foltz, Stephen G. Penny, Hyodae Seo	1
15	Strongly Coupled Data Assimilation in Multiscale Media: Experiments Using a Quasi‐Geostrophic Coupled Model 2019 ·Journal of Advances in Modeling Earth Systems ·Stephen G. Penny, Eviatar Bach, (unknown), Chu‐Chun Chang, (unknown), (unknown), (unknown)	47
16	An Investigation of Ocean Model Uncertainties Through Ensemble Forecast Experiments in the Southwest Atlantic Ocean 2018 ·Journal of Geophysical Research Oceans ·Leonardo Lima, Luciano Ponzi Pezzi, Stephen G. Penny, Clemente A. S. Tanajura	22
17	Coupled Data Assimilation for Integrated Earth System Analysis and Prediction 2017 ·Bulletin of the American Meteorological Society ·Stephen G. Penny, Thomas M. Hamill	95
18	Towards an Operational Hybrid Global Ocean Data Assimilation System (Hybrid-GODAS) at NCEP 2016 ·Stephen G. Penny, David Behringer, James A. Carton, Eugenia Kalnay, Y. Xue	1
19	A local particle filter for high-dimensional geophysical systems 2016 ·Nonlinear processes in geophysics ·Stephen G. Penny, Takemasa Miyoshi	53
20	Causality Analysis: Identifying the Leading Element in a Coupled Dynamical System 2015 ·PLoS ONE ·(unknown), Safa Motesharrei, Stephen G. Penny, Eugenia Kalnay	15

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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