Colleen Kaul

965 total citations
26 papers, 488 citations indexed

About

Colleen Kaul is a scholar working on Atmospheric Science, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Colleen Kaul has authored 26 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Atmospheric Science, 12 papers in Environmental Engineering and 12 papers in Global and Planetary Change. Recurrent topics in Colleen Kaul's work include Wind and Air Flow Studies (11 papers), Meteorological Phenomena and Simulations (10 papers) and Atmospheric chemistry and aerosols (8 papers). Colleen Kaul is often cited by papers focused on Wind and Air Flow Studies (11 papers), Meteorological Phenomena and Simulations (10 papers) and Atmospheric chemistry and aerosols (8 papers). Colleen Kaul collaborates with scholars based in United States, Switzerland and France. Colleen Kaul's co-authors include Tapio Schneider, Kyle G. Pressel, Venkat Raman, Zhihong Tan, Siddhartha Mishra, Yair Cohen, J. Teixeira, Heinz Pitsch, Guillaume Balarac and E.S. Richardson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Geoscience and Monthly Weather Review.

In The Last Decade

Colleen Kaul

23 papers receiving 478 citations

Peers

Colleen Kaul

GPC

FFTP

D. A. Bennetts United Kingdom

Vassili Kitsios Australia

Jeremy Sauer United States

W. Alan Brewer United States

Katherine A. Lundquist United States

E. C. Nickerson United States

Tina Jurkat Germany

J. Duron France

A. Maurizi Italy

Timothy A. Bonin United States

D. A. Bennetts United Kingdom

Colleen Kaul

439 ×1.5

346 ×1.3

GPC

80 ×0.5

34 ×0.4

6 ×0.1

FFTP

Citations per year, relative to Colleen Kaul Colleen Kaul (= 1×) peers D. A. Bennetts

Countries citing papers authored by Colleen Kaul

Since Specialization

Citations

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

Fields of papers citing papers by Colleen Kaul

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Colleen Kaul

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Bodini, Nicola, Patrick Moriarty, Stefano Letizia, et al.. (2025). A perspective on lessons learned and future needs for wind energy field campaigns. Journal of Renewable and Sustainable Energy. 17(3).

Kaul, Colleen, et al.. (2025). Sensitivities of Large Eddy Simulations of Aerosol Plume Transport and Cloud Response. Journal of Advances in Modeling Earth Systems. 17(2). 2 indexed citations

Krishnamurthy, Raghavendra, Rob Newsom, Colleen Kaul, et al.. (2025). Observations of wind farm wake recovery at an operating wind farm. Wind energy science. 10(2). 361–380. 4 indexed citations

Tai, Sheng‐Lun, Zhao Yang, Brian Gaudet, et al.. (2025). A 1 km soil moisture dataset over eastern CONUS generated by assimilating SMAP data into the Noah-MP land surface model. Earth system science data. 17(9). 4587–4611.

Newsom, Rob, Raghavendra Krishnamurthy, D. Chand, et al.. (2024). Virtual tower measurements during the American WAKE ExperimeNt (AWAKEN). Journal of Renewable and Sustainable Energy. 16(4).

Ovchinnikov, Mikhail, Po‐Lun Ma, Colleen Kaul, et al.. (2024). Evaluation of Autoconversion Representation in E3SMv2 Using an Ensemble of Large‐Eddy Simulations of Low‐Level Warm Clouds. Journal of Advances in Modeling Earth Systems. 16(10). 1 indexed citations

Moriarty, Patrick, Nicola Bodini, Lawrence Cheung, et al.. (2023). Overview of recent observations and simulations from the American WAKE experimeNt (AWAKEN) field campaign. Journal of Physics Conference Series. 2505(1). 12049–12049. 7 indexed citations

Kaul, Colleen, et al.. (2022). Sensitivity Analysis of Wind and Turbulence Predictions With Mesoscale‐Coupled Large Eddy Simulations Using Ensemble Machine Learning. Journal of Geophysical Research Atmospheres. 127(16). 4 indexed citations

Cohen, Yair, et al.. (2020). Unified Entrainment and Detrainment Closures for Extended Eddy‐Diffusivity Mass‐Flux Schemes. Journal of Advances in Modeling Earth Systems. 12(9). e2020MS002162–e2020MS002162. 21 indexed citations

10.

Kaul, Colleen, et al.. (2020). Sensitivity Analysis of Mesoscale-Coupled Large Eddy Simulations for Wind Energy Applications Using Machine Learning Approaches. AGU Fall Meeting Abstracts. 2020. 1 indexed citations

11.

Kaul, Colleen, Shreyas Ananthan, Matthew Churchfield, et al.. (2020). Large-eddy simulations of idealized atmospheric boundary layers using Nalu-Wind. Journal of Physics Conference Series. 1452(1). 12078–12078. 2 indexed citations

12.

Cheung, Lawrence, et al.. (2020). Large-eddy simulations of the Northeastern US coastal marine boundary layer. Journal of Physics Conference Series. 1618(6). 62038–62038. 5 indexed citations

13.

Schneider, Tapio, Colleen Kaul, & Kyle G. Pressel. (2020). Solar geoengineering may not prevent strong warming from direct effects of CO ₂ on stratocumulus cloud cover. Proceedings of the National Academy of Sciences. 117(48). 30179–30185. 15 indexed citations

14.

Schneider, Tapio, et al.. (2020). Sensitivity of idealized mixed‐phase stratocumulus to climate perturbations. Quarterly Journal of the Royal Meteorological Society. 146(732). 3285–3305. 3 indexed citations

15.

Tan, Zhihong, Colleen Kaul, Kyle G. Pressel, et al.. (2018). An Extended Eddy‐Diffusivity Mass‐Flux Scheme for Unified Representation of Subgrid‐Scale Turbulence and Convection. Journal of Advances in Modeling Earth Systems. 10(3). 770–800. 68 indexed citations

16.

Pressel, Kyle G., Colleen Kaul, Tapio Schneider, Zhihong Tan, & Siddhartha Mishra. (2015). Large‐eddy simulation in an anelastic framework with closed water and entropy balances. Journal of Advances in Modeling Earth Systems. 7(3). 1425–1456. 44 indexed citations

17.

Kaul, Colleen, João Teixeira, & Kentaroh Suzuki. (2015). Sensitivities in Large-Eddy Simulations of Mixed-Phase Arctic Stratocumulus Clouds Using a Simple Microphysics Approach*. Monthly Weather Review. 143(11). 4393–4421. 11 indexed citations

18.

Kaul, Colleen & Venkat Raman. (2013). Analysis of a dynamic model for subfilter scalar dissipation rate in large eddy simulation based on the subfilter scalar variance transport equation. Combustion Theory and Modelling. 17(5). 804–834. 5 indexed citations

19.

Kaul, Colleen & Venkat Raman. (2011). A posteriori analysis of numerical errors in subfilter scalar variance modeling for large eddy simulation. Physics of Fluids. 23(3). 27 indexed citations

20.

Kaul, Colleen, et al.. (2011). ANALYSIS OF SCALAR VARIANCE MODELING FOR LARGE EDDY SIMULATION OF COMBUSTION USING EXPLICIT FILTERING. 1–6. 2 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.

Explore authors with similar magnitude of impact