Jaymes S. Kenyon

2.6k total citations · 2 hit papers
22 papers, 1.7k citations indexed

About

Jaymes S. Kenyon is a scholar working on Atmospheric Science, Global and Planetary Change and Aerospace Engineering. According to data from OpenAlex, Jaymes S. Kenyon has authored 22 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Atmospheric Science, 17 papers in Global and Planetary Change and 4 papers in Aerospace Engineering. Recurrent topics in Jaymes S. Kenyon's work include Meteorological Phenomena and Simulations (19 papers), Climate variability and models (14 papers) and Atmospheric and Environmental Gas Dynamics (9 papers). Jaymes S. Kenyon is often cited by papers focused on Meteorological Phenomena and Simulations (19 papers), Climate variability and models (14 papers) and Atmospheric and Environmental Gas Dynamics (9 papers). Jaymes S. Kenyon collaborates with scholars based in United States and South Korea. Jaymes S. Kenyon's co-authors include John M. Brown, Stanley G. Benjamin, Tatiana G. Smirnova, Joseph B. Olson, Eric James, Ming Hu, David C. Dowell, Geoffrey S. Manikin, Curtis R. Alexander and Stephen S. Weygandt and has published in prestigious journals such as Monthly Weather Review, Boundary-Layer Meteorology and Weather and Forecasting.

In The Last Decade

Jaymes S. Kenyon

22 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A North American Hourly Assimilation and Model Forecast Cycle: The Rapid Refresh

2015 860 citations Stanley G. Benjamin, Stephen S. Weygandt et al. Monthly Weather Review profile →
The High-Resolution Rapid Refresh (HRRR): An Hourly Updating Convection-Allowing Forecast Model. Part I: Motivation and System Description

2022 226 citations David C. Dowell, Curtis R. Alexander et al. Weather and Forecasting profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jaymes S. Kenyon United States	11	1.4k	1.3k	332	120	92	22	1.7k
Eric James United States	19	1.4k 1.0×	1.3k 1.0×	303 0.9×	126 1.1×	106 1.2×	55	1.8k
Geoffrey S. Manikin United States	10	1.7k 1.2×	1.6k 1.3×	383 1.2×	147 1.2×	101 1.1×	18	2.1k
Curtis R. Alexander United States	22	2.1k 1.4×	1.6k 1.3×	628 1.9×	139 1.2×	95 1.0×	56	2.4k
Stephen S. Weygandt United States	17	2.3k 1.6×	2.1k 1.6×	514 1.5×	168 1.4×	131 1.4×	30	2.7k
Ming Hu United States	20	2.2k 1.5×	1.8k 1.4×	470 1.4×	92 0.8×	131 1.4×	44	2.4k
Daniel Weber Germany	12	1.1k 0.8×	968 0.8×	260 0.8×	96 0.8×	89 1.0×	28	1.4k
Yann Seity France	16	1.2k 0.8×	1.1k 0.8×	304 0.9×	68 0.6×	143 1.6×	35	1.5k
Cameron R. Homeyer United States	29	2.1k 1.5×	2.0k 1.5×	217 0.7×	52 0.4×	80 0.9×	85	2.4k
Christine Lac France	26	1.9k 1.3×	1.7k 1.4×	588 1.8×	129 1.1×	143 1.6×	66	2.3k
Tatiana G. Smirnova United States	18	2.6k 1.8×	2.4k 1.9×	546 1.6×	172 1.4×	144 1.6×	33	3.0k

Countries citing papers authored by Jaymes S. Kenyon

Since Specialization

Citations

This map shows the geographic impact of Jaymes S. Kenyon'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 Jaymes S. Kenyon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaymes S. Kenyon more than expected).

Fields of papers citing papers by Jaymes S. Kenyon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaymes S. Kenyon. 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 Jaymes S. Kenyon. The network helps show where Jaymes S. Kenyon may publish in the future.

Co-authorship network of co-authors of Jaymes S. Kenyon

This figure shows the co-authorship network connecting the top 25 collaborators of Jaymes S. Kenyon. A scholar is included among the top collaborators of Jaymes S. Kenyon 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 Jaymes S. Kenyon. Jaymes S. Kenyon 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

Adler, Bianca, James M. Wilczak, Jaymes S. Kenyon, et al.. (2023). Evaluation of a cloudy cold-air pool in the Columbia River basin in different versions of the High-Resolution Rapid Refresh (HRRR) model. Geoscientific model development. 16(2). 597–619. 6 indexed citations

Banta, Robert M., Yelena L. Pichugina, W. Alan Brewer, et al.. (2023). Measurements and Model Improvement: Insight into NWP Model Error Using Doppler Lidar and Other WFIP2 Measurement Systems. Monthly Weather Review. 151(12). 3063–3087. 4 indexed citations

James, Eric, Curtis R. Alexander, David C. Dowell, et al.. (2022). The High-Resolution Rapid Refresh (HRRR): An Hourly Updating Convection-Allowing Forecast Model. Part II: Forecast Performance. Weather and Forecasting. 37(8). 1397–1417. 79 indexed citations

Pichugina, Yelena L., Robert M. Banta, W. Alan Brewer, et al.. (2022). Model Evaluation by Measurements from Collocated Remote Sensors in Complex Terrain. Weather and Forecasting. 37(10). 1829–1853. 3 indexed citations

Dowell, David C., Curtis R. Alexander, Eric James, et al.. (2022). The High-Resolution Rapid Refresh (HRRR): An Hourly Updating Convection-Allowing Forecast Model. Part I: Motivation and System Description. Weather and Forecasting. 37(8). 1371–1395. 226 indexed citations breakdown →

Banta, Robert M., Yelena L. Pichugina, Lisa S. Darby, et al.. (2021). Doppler-Lidar Evaluation of HRRR-Model Skill at Simulating Summertime Wind Regimes in the Columbia River Basin during WFIP2. Weather and Forecasting. 5 indexed citations

Bianco, Laura, Paytsar Muradyan, Irina V. Djalalova, et al.. (2021). Comparison of Observations and Predictions of Daytime Planetary-Boundary-Layer Heights and Surface Meteorological Variables in the Columbia River Gorge and Basin During the Second Wind Forecast Improvement Project. Boundary-Layer Meteorology. 182(1). 147–172. 9 indexed citations

Beck, Jeffrey, John M. Brown, Jimy Dudhia, et al.. (2020). An Evaluation of a Hybrid, Terrain-Following Vertical Coordinate in the WRF-Based RAP and HRRR Models. Weather and Forecasting. 35(3). 1081–1096. 19 indexed citations

Djalalova, Irina V., Laura Bianco, James M. Wilczak, et al.. (2020). Wind Ramp Events Validation in NWP Forecast Models during the Second Wind Forecast Improvement Project (WFIP2) Using the Ramp Tool and Metric (RT&M). Weather and Forecasting. 35(6). 2407–2421. 7 indexed citations

10.

Benjamin, Stanley G., Eric James, John M. Brown, et al.. (2020). Diagnostic fields developed for hourly updated NOAA weather models. National Oceanic and Atmospheric Administration (NOAA) - NOAA Central Library. 6 indexed citations

11.

Bianco, Laura, Irina V. Djalalova, James M. Wilczak, et al.. (2019). Impact of model improvements on 80 m wind speeds during the second Wind Forecast Improvement Project (WFIP2). Geoscientific model development. 12(11). 4803–4821. 25 indexed citations

12.

Banta, Robert M., Yelena L. Pichugina, W. Alan Brewer, et al.. (2019). Characterizing NWP Model Errors Using Doppler-Lidar Measurements of Recurrent Regional Diurnal Flows: Marine-Air Intrusions into the Columbia River Basin. Monthly Weather Review. 148(3). 929–953. 17 indexed citations

13.

Pichugina, Yelena L., Robert M. Banta, Timothy A. Bonin, et al.. (2019). Spatial Variability of Winds and HRRR–NCEP Model Error Statistics at Three Doppler-Lidar Sites in the Wind-Energy Generation Region of the Columbia River Basin. Journal of Applied Meteorology and Climatology. 58(8). 1633–1656. 34 indexed citations

14.

Olson, Joseph B., et al.. (2019). A Description of the MYNN-EDMF Scheme and the Coupling to Other Components in WRF–ARW. National Oceanic and Atmospheric Administration (NOAA) - NOAA Central Library. 146 indexed citations

15.

Angevine, W. M., Joseph B. Olson, Jaymes S. Kenyon, et al.. (2018). Shallow Cumulus in WRF Parameterizations Evaluated against LASSO Large-Eddy Simulations. Monthly Weather Review. 146(12). 4303–4322. 33 indexed citations

16.

Tessendorf, Sarah A., et al.. (2017). Developing Improved Products to Forecast and Diagnose Aircraft Icing Conditions Based upon Drop Size. 2 indexed citations

17.

Bianco, Laura, Katherine McCaffrey, J. M. Wilczak, Joseph B. Olson, & Jaymes S. Kenyon. (2016). Turbulence Dissipation Rates in the Planetary Boundary Layer from Wind Profiling Radars and Mesoscale Numerical Weather Prediction Models during WFIP2. AGU Fall Meeting Abstracts. 2016. 2 indexed citations

18.

Alexander, Curtis R., David C. Dowell, Stephen S. Weygandt, et al.. (2016). The hourly updated US High-Resolution Rapid Refresh (HRRR) storm-scale forecast model. EGU General Assembly Conference Abstracts. 3 indexed citations

19.

Smirnova, Tatiana G., John M. Brown, Stanley G. Benjamin, & Jaymes S. Kenyon. (2015). Modifications to the Rapid Update Cycle Land Surface Model (RUC LSM) Available in the Weather Research and Forecasting (WRF) Model. Monthly Weather Review. 144(5). 1851–1865. 122 indexed citations

20.

Benjamin, Stanley G., Stephen S. Weygandt, John M. Brown, et al.. (2015). A North American Hourly Assimilation and Model Forecast Cycle: The Rapid Refresh. Monthly Weather Review. 144(4). 1669–1694. 860 indexed citations breakdown →

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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