Justin McLay

1.1k total citations
33 papers, 775 citations indexed

About

Justin McLay is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Justin McLay has authored 33 papers receiving a total of 775 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Atmospheric Science, 26 papers in Global and Planetary Change and 5 papers in Oceanography. Recurrent topics in Justin McLay's work include Climate variability and models (24 papers), Meteorological Phenomena and Simulations (24 papers) and Atmospheric and Environmental Gas Dynamics (11 papers). Justin McLay is often cited by papers focused on Climate variability and models (24 papers), Meteorological Phenomena and Simulations (24 papers) and Atmospheric and Environmental Gas Dynamics (11 papers). Justin McLay collaborates with scholars based in United States, Australia and Romania. Justin McLay's co-authors include Carolyn A. Reynolds, Craig H. Bishop, Nancy L. Baker, David D. Kuhl, Thomas E. Rosmond, James A. Ridout, Timothy F. Hogan, Benjamin Ruston, Stephen D. Eckermann and Maria Flatau and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Monthly Weather Review and Atmospheric chemistry and physics.

In The Last Decade

Justin McLay

29 papers receiving 750 citations

Peers

Justin McLay
Longtao Wu United States
Zaizhong Ma United States
Michiko Masutani United States
D. Lambert France
Per Undén United Kingdom
Daniel Hernández‐Deckers Colombia
Lynn A. McMurdie United States
Benjamin Ruston United States
Hisaki Eito Japan
James A. Ridout United States
Longtao Wu United States
Justin McLay
Citations per year, relative to Justin McLay Justin McLay (= 1×) peers Longtao Wu

Countries citing papers authored by Justin McLay

Since Specialization
Citations

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

Fields of papers citing papers by Justin McLay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Justin McLay. 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 Justin McLay. The network helps show where Justin McLay may publish in the future.

Co-authorship network of co-authors of Justin McLay

This figure shows the co-authorship network connecting the top 25 collaborators of Justin McLay. A scholar is included among the top collaborators of Justin McLay 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 Justin McLay. Justin McLay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Barton, Neil P, E. Joseph Metzger, Carolyn A. Reynolds, et al.. (2020). The Navy's Earth System Prediction Capability: A New Global Coupled Atmosphere‐Ocean‐Sea Ice Prediction System Designed for Daily to Subseasonal Forecasting. Earth and Space Science. 8(4). 41 indexed citations
3.
McLay, Justin, Daniel Hodyss, & Carolyn A. Reynolds. (2019). Favoured cycles and other features of anomalous forecast uncertainty as revealed by time series of TIGGE data. Quarterly Journal of the Royal Meteorological Society. 146(727). 870–888. 1 indexed citations
4.
Frolov, Sergey, William F. Campbell, Craig H. Bishop, et al.. (2019). Assimilation of Low-Peaking Satellite Observations Using the Coupled Interface Framework. Monthly Weather Review. 148(2). 637–654. 5 indexed citations
5.
Rubin, Juli I., Jeffrey S. Reid, James A. Hansen, et al.. (2016). Development of the Ensemble Navy Aerosol Analysis Prediction System (ENAAPS) and its application of the Data Assimilation Research Testbed (DART) in support of aerosol forecasting. Atmospheric chemistry and physics. 16(6). 3927–3951. 47 indexed citations
6.
McLay, Justin, et al.. (2016). Changes to intrinsic weather forecast uncertainty in one scenario of extreme future climate. Quarterly Journal of the Royal Meteorological Society. 142(698). 2102–2118. 3 indexed citations
7.
Zhao, Qingyun, Qin Xu, Yi Jin, Justin McLay, & Carolyn A. Reynolds. (2015). Time-Expanded Sampling for Ensemble-Based Data Assimilation Applied to Conventional and Satellite Observations. Weather and Forecasting. 30(4). 855–872. 10 indexed citations
8.
Hodyss, Daniel, et al.. (2015). Inaccuracies with Multimodel Postprocessing Methods Involving Weighted, Regression-Corrected Forecasts. Monthly Weather Review. 144(4). 1649–1668. 7 indexed citations
9.
McLay, Justin, et al.. (2014). Detecting Dependence in the Sensitive Parameter Space of a Model Using Statistical Inference and Large Forecast Ensembles. Monthly Weather Review. 142(10). 3734–3755. 3 indexed citations
10.
Hodyss, Daniel, et al.. (2014). Inducing Tropical Cyclones to Undergo Brownian Motion: A Comparison between Itô and Stratonovich in a Numerical Weather Prediction Model. Monthly Weather Review. 142(5). 1982–1996. 2 indexed citations
11.
Hogan, Timothy F., James A. Ridout, Melinda S. Peng, et al.. (2014). The Navy Global Environmental Model. Oceanography. 27(3). 116–125. 225 indexed citations
12.
Kuhl, David D., Thomas E. Rosmond, Craig H. Bishop, Justin McLay, & Nancy L. Baker. (2013). Comparison of Hybrid Ensemble/4DVar and 4DVar within the NAVDAS-AR Data Assimilation Framework. Monthly Weather Review. 141(8). 2740–2758. 108 indexed citations
13.
Reynolds, Carolyn A., et al.. (2011). Impact of Resolution and Design on the U.S. Navy Global Ensemble Performance in the Tropics. Monthly Weather Review. 139(7). 2145–2155. 25 indexed citations
14.
Doyle, James D., et al.. (2010). Tropical Cyclone Track and Intensity Predictability. 281–287. 3 indexed citations
15.
16.
McLay, Justin & Carolyn A. Reynolds. (2009). Two alternative implementations of the ensemble‐transform (ET) analysis‐perturbation scheme: The ET with extended cycling intervals, and the ET without cycling. Quarterly Journal of the Royal Meteorological Society. 135(642). 1200–1213. 8 indexed citations
17.
Bishop, Craig H., Teddy Holt, Jason E. Nachamkin, et al.. (2008). Regional Ensemble Forecasts Using the Ensemble Transform Technique. Monthly Weather Review. 137(1). 288–298. 17 indexed citations
18.
McLay, Justin, Craig H. Bishop, & Carolyn A. Reynolds. (2008). Evaluation of the Ensemble Transform Analysis Perturbation Scheme at NRL. Monthly Weather Review. 136(3). 1093–1108. 52 indexed citations
19.
Doyle, James D., Carolyn A. Reynolds, Justin McLay, et al.. (2007). Multi-Scale Predictability of High-Impact Weather in the Battlespace Environment. 143. 263–267.
20.
Doyle, James D., Carolyn A. Reynolds, Justin McLay, J. Teixeira, & Craig H. Bishop. (2006). Multi-Scale Predictability of High-Impact Weather in the Battlespace Environment. 267–270.

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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