David D. Kuhl

844 total citations
30 papers, 500 citations indexed

About

David D. Kuhl is a scholar working on Atmospheric Science, Global and Planetary Change and Astronomy and Astrophysics. According to data from OpenAlex, David D. Kuhl has authored 30 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Atmospheric Science, 19 papers in Global and Planetary Change and 10 papers in Astronomy and Astrophysics. Recurrent topics in David D. Kuhl's work include Meteorological Phenomena and Simulations (17 papers), Climate variability and models (16 papers) and Ionosphere and magnetosphere dynamics (10 papers). David D. Kuhl is often cited by papers focused on Meteorological Phenomena and Simulations (17 papers), Climate variability and models (16 papers) and Ionosphere and magnetosphere dynamics (10 papers). David D. Kuhl collaborates with scholars based in United States, Australia and Germany. David D. Kuhl's co-authors include Craig H. Bishop, Nancy L. Baker, K. W. Hoppel, Thomas E. Rosmond, Douglas Allen, Justin McLay, Sergey Frolov, J. P. McCormack, Teddy Holt and James Cummings and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the Atmospheric Sciences and Monthly Weather Review.

In The Last Decade

David D. Kuhl

28 papers receiving 491 citations

Peers

David D. Kuhl

GPC

OCEAN

Alison W. Grimsdell United States

Annelize van Niekerk United Kingdom

Sonja Gisinger Germany

Siddarth Shankar Das India

C. Cot France

K. V. Subrahmanyam India

G. Scialom France

D. A. Carter United States

Lars Peter Riishøjgaard United States

Timothy R. Whitcomb United States

Alison W. Grimsdell United States

David D. Kuhl

454 ×1.1

290 ×1.0

GPC

244 ×1.3

65 ×0.6

OCEAN

95 ×2.2

Citations per year, relative to David D. Kuhl David D. Kuhl (= 1×) peers Alison W. Grimsdell

Countries citing papers authored by David D. Kuhl

Since Specialization

Citations

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

Fields of papers citing papers by David D. Kuhl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David D. Kuhl. 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 David D. Kuhl. The network helps show where David D. Kuhl may publish in the future.

Co-authorship network of co-authors of David D. Kuhl

This figure shows the co-authorship network connecting the top 25 collaborators of David D. Kuhl. A scholar is included among the top collaborators of David D. Kuhl 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 David D. Kuhl. David D. Kuhl 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

McDonald, S. E., K. F. Dymond, A. G. Burrell, et al.. (2024). ANCHOR: Global Parametrized Ionospheric Data Assimilation. Space Weather. 22(7). 1 indexed citations

Bhatt, Asti, Steven A. Cummer, Stephen D. Eckermann, et al.. (2023). Multi‐Layer Evolution of Acoustic‐Gravity Waves and Ionospheric Disturbances Over the United States After the 2022 Hunga Tonga Volcano Eruption. SHILAP Revista de lepidopterología. 4(6). 6 indexed citations

Navas-Guzmán, Francisco, et al.. (2022). Continuous temperature soundings at the stratosphere and lower mesosphere with a ground-based radiometer considering the Zeeman effect. Atmospheric measurement techniques. 15(7). 2231–2249. 10 indexed citations

Stevens, M. H., C. E. Randall, J. N. Carstens, et al.. (2022). Northern Mid‐Latitude Mesospheric Cloud Frequencies Observed by AIM/CIPS: Interannual Variability Driven by Space Traffic. Earth and Space Science. 9(6). 4 indexed citations

Sassi, Fabrizio, J. P. McCormack, Jennifer Tate, David D. Kuhl, & Nancy L. Baker. (2020). Assessing the impact of middle atmosphere observations on day-to-day variability in lower thermospheric winds using WACCM-X. Journal of Atmospheric and Solar-Terrestrial Physics. 212. 105486–105486. 16 indexed citations

Eckermann, Stephen D., Jun Ma, K. W. Hoppel, et al.. (2018). High-Altitude (0–100 km) Global Atmospheric Reanalysis System: Description and Application to the 2014 Austral Winter of the Deep Propagating Gravity Wave Experiment (DEEPWAVE). Monthly Weather Review. 146(8). 2639–2666. 60 indexed citations

Eckermann, Stephen D., Jun Ma, K. W. Hoppel, et al.. (2018). High-Altitude (0-100km) Global Atmospheric Reanalysis System: Description and Application to the 2014 Austral Winter of the Deep Propagating Gravity Wave Experiment (DEEPWAVE). AGU Fall Meeting Abstracts. 2018. 1 indexed citations

Allen, Douglas, K. W. Hoppel, & David D. Kuhl. (2018). Extraction of wind and temperature information from hybrid 4D-Var assimilation of stratospheric ozone using NAVGEM. Atmospheric chemistry and physics. 18(4). 2999–3026. 4 indexed citations

Hodyss, Daniel, et al.. (2018). Observation-Informed Generalized Hybrid Error Covariance Models. Monthly Weather Review. 146(11). 3605–3622. 6 indexed citations

10.

McDonald, S. E., Fabrizio Sassi, J. Tate, et al.. (2017). Impact of non-migrating tides on the low latitude ionosphere during a sudden stratospheric warming event in January 2010. Journal of Atmospheric and Solar-Terrestrial Physics. 171. 188–200. 28 indexed citations

11.

Allen, Douglas, K. W. Hoppel, & David D. Kuhl. (2016). Hybrid ensemble 4DVar assimilation of stratospheric ozone using a globalshallow water model. Atmospheric chemistry and physics. 16(13). 8193–8204. 4 indexed citations

12.

McCormack, J. P., K. W. Hoppel, David D. Kuhl, et al.. (2016). Comparison of mesospheric winds from a high-altitude meteorological analysis system and meteor radar observations during the boreal winters of 2009–2010 and 2012–2013. Journal of Atmospheric and Solar-Terrestrial Physics. 154. 132–166. 66 indexed citations

13.

Allen, Douglas, K. W. Hoppel, & David D. Kuhl. (2015). Wind extraction potential from ensemble Kalman filter assimilation of stratospheric ozone using a global shallow water model. Atmospheric chemistry and physics. 15(10). 5835–5850. 9 indexed citations

14.

Frolov, Sergey, Craig H. Bishop, Teddy Holt, James Cummings, & David D. Kuhl. (2015). Facilitating Strongly Coupled Ocean–Atmosphere Data Assimilation with an Interface Solver. Monthly Weather Review. 144(1). 3–20. 42 indexed citations

15.

Allen, Douglas, K. W. Hoppel, & David D. Kuhl. (2014). Wind extraction potential from 4D-Var assimilation of stratospheric O ₃ , N ₂ O, and H ₂ O using a global shallow water model. Atmospheric chemistry and physics. 14(7). 3347–3360. 12 indexed citations

16.

Allen, Douglas, K. W. Hoppel, Gerald E. Nedoluha, et al.. (2013). Limitations of wind extraction from 4D-Var assimilation of ozone. Atmospheric chemistry and physics. 13(6). 3501–3515. 13 indexed citations

17.

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

18.

Bishop, Craig H., et al.. (2011). Accounting for ensemble variance inaccuracy with Hybrid Ensemble 4D-VAR. AGU Fall Meeting Abstracts. 2011.

19.

Kuhl, David D., Istvan Szunyogh, Eric J. Kostelich, et al.. (2007). Assessing Predictability with a Local Ensemble Kalman Filter. Journal of the Atmospheric Sciences. 64(4). 1116–1140. 20 indexed citations

20.

Kuhl, David D., et al.. (2004). Wall Interference Study of the NTF Slotted Tunnel Using Bodies of Revolution Wall Signature Data. NASA STI Repository (National Aeronautics and Space Administration). 4 indexed citations

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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