Marcin J. Kurowski

824 total citations
36 papers, 537 citations indexed

About

Marcin J. Kurowski is a scholar working on Atmospheric Science, Global and Planetary Change and Computational Mechanics. According to data from OpenAlex, Marcin J. Kurowski has authored 36 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Atmospheric Science, 27 papers in Global and Planetary Change and 7 papers in Computational Mechanics. Recurrent topics in Marcin J. Kurowski's work include Meteorological Phenomena and Simulations (30 papers), Atmospheric aerosols and clouds (16 papers) and Climate variability and models (12 papers). Marcin J. Kurowski is often cited by papers focused on Meteorological Phenomena and Simulations (30 papers), Atmospheric aerosols and clouds (16 papers) and Climate variability and models (12 papers). Marcin J. Kurowski collaborates with scholars based in United States, Poland and United Kingdom. Marcin J. Kurowski's co-authors include J. Teixeira, Wojciech W. Grabowski, Kay Sušelj, Szymon P. Malinowski, Piotr K. Smolarkiewicz, Krzysztof E. Haman, Jean‐Louis Brenguier, H. Gerber, Bogdan Rosa and Matthew Lebsock and has published in prestigious journals such as Geophysical Research Letters, Journal of the Atmospheric Sciences and Monthly Weather Review.

In The Last Decade

Marcin J. Kurowski

35 papers receiving 534 citations

Peers

Marcin J. Kurowski
Satoshi Endo United States
Wim C. de Rooy Netherlands
J. D. Turton United Kingdom
Rieke Heinze Germany
Satoshi Endo United States
Marcin J. Kurowski
Citations per year, relative to Marcin J. Kurowski Marcin J. Kurowski (= 1×) peers Satoshi Endo

Countries citing papers authored by Marcin J. Kurowski

Since Specialization
Citations

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

Fields of papers citing papers by Marcin J. Kurowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcin J. Kurowski. 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 Marcin J. Kurowski. The network helps show where Marcin J. Kurowski may publish in the future.

Co-authorship network of co-authors of Marcin J. Kurowski

This figure shows the co-authorship network connecting the top 25 collaborators of Marcin J. Kurowski. A scholar is included among the top collaborators of Marcin J. Kurowski 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 Marcin J. Kurowski. Marcin J. Kurowski 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.
Millán, Luis, Matthew Lebsock, & Marcin J. Kurowski. (2025). Retrieval simulations of a spaceborne differential absorption radar near the 380 GHz water vapor line. Atmospheric measurement techniques. 18(17). 4483–4495.
3.
Kurowski, Marcin J., et al.. (2023). Improving the representation of shallow cumulus convection with the simplified-higher-order-closure–mass-flux (SHOC+MF v1.0) approach. Geoscientific model development. 16(7). 1909–1924. 4 indexed citations
4.
Kurowski, Marcin J., J. Teixeira, C. O. Ao, et al.. (2023). Synthetic Observations of the Planetary Boundary Layer from Space: A Retrieval Observing System Simulation Experiment Framework. Bulletin of the American Meteorological Society. 104(11). E1999–E2022. 4 indexed citations
5.
Richardson, Mark, David R. Thompson, Marcin J. Kurowski, & Matthew Lebsock. (2022). New sampling strategy mitigates a solar-geometry-induced bias in sub-kilometre vapour scaling statistics derived from imaging spectroscopy. Atmospheric measurement techniques. 15(1). 117–129. 1 indexed citations
6.
Herrington, Adam, J. Teixeira, Marcin J. Kurowski, et al.. (2022). Augmenting the Double-Gaussian Representation of Atmospheric Turbulence and Convection via a Coupled Stochastic Multi-Plume Mass-Flux Scheme. Monthly Weather Review. 150(9). 2339–2355. 7 indexed citations
7.
Richardson, Mark, David R. Thompson, Marcin J. Kurowski, & Matthew Lebsock. (2021). Boundary layer water vapour statistics from high-spatial-resolution spaceborne imaging spectroscopy. Atmospheric measurement techniques. 14(8). 5555–5576. 4 indexed citations
8.
Richardson, Mark, David R. Thompson, Marcin J. Kurowski, & Matthew Lebsock. (2021). New sampling strategy removes imaging spectroscopy solar-smearing bias in sub-km vapour scaling statistics. 1 indexed citations
9.
Roy, Richard, Matthew Lebsock, & Marcin J. Kurowski. (2021). Spaceborne differential absorption radar water vapor retrieval capabilities in tropical and subtropical boundary layer cloud regimes. Atmospheric measurement techniques. 14(10). 6443–6468. 16 indexed citations
10.
Sušelj, Kay, João Teixeira, Marcin J. Kurowski, & Andrea Molod. (2021). Improving the Representation of Subtropical Boundary Layer Clouds in the NASA GEOS Model with the Eddy-Diffusivity/Mass-Flux Parameterization. Monthly Weather Review. 149(3). 793–809. 8 indexed citations
11.
Kurowski, Marcin J., Wojciech W. Grabowski, Kay Sušelj, & João Teixeira. (2020). The Strong Impact of Weak Horizontal Convergence on Continental Shallow Convection. Journal of the Atmospheric Sciences. 77(9). 3119–3137. 8 indexed citations
12.
Kurowski, Marcin J., Kay Sušelj, & Wojciech W. Grabowski. (2019). Is Shallow Convection Sensitive to Environmental Heterogeneities?. Geophysical Research Letters. 46(3). 1785–1793. 14 indexed citations
13.
Kurowski, Marcin J., Kay Sušelj, Wojciech W. Grabowski, & J. Teixeira. (2018). Shallow-to-Deep Transition of Continental Moist Convection: Cold Pools, Surface Fluxes, and Mesoscale Organization. Journal of the Atmospheric Sciences. 75(12). 4071–4090. 41 indexed citations
14.
Kurowski, Marcin J., et al.. (2016). Convection-Permitting Regional Weather Modeling with COSMO-EULAG: Compressible and Anelastic Solutions for a Typical Westerly Flow over the Alps. Monthly Weather Review. 144(5). 1961–1982. 11 indexed citations
15.
Kurowski, Marcin J., Wojciech W. Grabowski, & Piotr K. Smolarkiewicz. (2014). Anelastic and compressible simulations of moist deep convection. EGU General Assembly Conference Abstracts. 3141. 1 indexed citations
16.
Kurowski, Marcin J., Wojciech W. Grabowski, & Piotr K. Smolarkiewicz. (2014). Anelastic and Compressible Simulation of Moist Deep Convection. Journal of the Atmospheric Sciences. 71(10). 3767–3787. 38 indexed citations
17.
Dussen, J. J. van der, Stephan R. de Roode, Andrew S. Ackerman, et al.. (2013). The GASS/EUCLIPSE model intercomparison of the stratocumulus transition as observed during ASTEX: LES results. Journal of Advances in Modeling Earth Systems. 5(3). 483–499. 54 indexed citations
18.
Kurowski, Marcin J., et al.. (2011). Toward very high horizontal resolution NWP over the alps: Influence of increasing model resolution on the flow pattern. Acta Geophysica. 59(6). 1205–1235. 9 indexed citations
19.
Kurowski, Marcin J.. (2010). Impact of radiative cooling and subgrid-scale mixing on the evolution of stratocumulus-topped boundary layer. 2 indexed citations
20.
Kurowski, Marcin J., et al.. (2003). Pseudo Random Binary Sequences (PRBS) in the measurements of small flow velocities. Metrology and Measurement Systems. 10. 65–76. 1 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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