Daniel T. Dawson

1.6k total citations
36 papers, 1.3k citations indexed

About

Daniel T. Dawson is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Daniel T. Dawson has authored 36 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Atmospheric Science, 25 papers in Global and Planetary Change and 7 papers in Environmental Engineering. Recurrent topics in Daniel T. Dawson's work include Meteorological Phenomena and Simulations (33 papers), Climate variability and models (20 papers) and Precipitation Measurement and Analysis (17 papers). Daniel T. Dawson is often cited by papers focused on Meteorological Phenomena and Simulations (33 papers), Climate variability and models (20 papers) and Precipitation Measurement and Analysis (17 papers). Daniel T. Dawson collaborates with scholars based in United States, Canada and Australia. Daniel T. Dawson's co-authors include Ming Xue, Jason A. Milbrandt, Edward R. Mansell, Youngsun Jung, Louis J. Wicker, M. K. Yau, Alexander D. Schenkman, Matthew R. Kumjian, Brett Roberts and Robin L. Tanamachi and has published in prestigious journals such as Journal of Climate, IEEE Transactions on Geoscience and Remote Sensing and Journal of the Atmospheric Sciences.

In The Last Decade

Daniel T. Dawson

35 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel T. Dawson United States 20 1.2k 1.0k 230 61 46 36 1.3k
Alexander D. Schenkman United States 13 735 0.6× 549 0.5× 219 1.0× 77 1.3× 14 0.3× 16 753
Nathan Snook United States 16 979 0.8× 875 0.9× 178 0.8× 17 0.3× 21 0.5× 27 1.0k
Matthew S. Gilmore United States 13 912 0.8× 806 0.8× 154 0.7× 25 0.4× 92 2.0× 26 979
Christopher J. Nowotarski United States 17 579 0.5× 497 0.5× 169 0.7× 30 0.5× 27 0.6× 37 613
James Marquis United States 17 731 0.6× 566 0.6× 208 0.9× 73 1.2× 30 0.7× 29 774
Bryan T. Smith United States 15 1.1k 0.9× 1.0k 1.0× 246 1.1× 17 0.3× 56 1.2× 30 1.2k
Youngsun Jung United States 24 1.7k 1.4× 1.5k 1.5× 244 1.1× 11 0.2× 33 0.7× 51 1.7k
Michael M. French United States 14 715 0.6× 444 0.4× 209 0.9× 50 0.8× 44 1.0× 30 762
Vincent T. Wood United States 18 676 0.6× 340 0.3× 217 0.9× 73 1.2× 37 0.8× 44 751
Jean‐Marcel Piriou France 9 1.0k 0.8× 1.0k 1.0× 88 0.4× 32 0.5× 18 0.4× 15 1.1k

Countries citing papers authored by Daniel T. Dawson

Since Specialization
Citations

This map shows the geographic impact of Daniel T. Dawson'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 Daniel T. Dawson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. Dawson more than expected).

Fields of papers citing papers by Daniel T. Dawson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel T. Dawson. 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 Daniel T. Dawson. The network helps show where Daniel T. Dawson may publish in the future.

Co-authorship network of co-authors of Daniel T. Dawson

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel T. Dawson. A scholar is included among the top collaborators of Daniel T. Dawson 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 Daniel T. Dawson. Daniel T. Dawson 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.
Dawson, Daniel T., et al.. (2025). Classifying synoptic patterns driving tornadic storms and associated spatial trends in the United States. npj Climate and Atmospheric Science. 8(1). 7–7.
2.
Tanamachi, Robin L., et al.. (2023). Factors Affecting the Rapid Recovery of CAPE on 31 March 2016 during VORTEX-Southeast. Monthly Weather Review. 151(6). 1459–1477. 1 indexed citations
3.
Waugh, Sean, Michael I. Biggerstaff, Gordon D. Carrie, et al.. (2022). Hurricane Laura (2020): A Comparison of Drop Size Distribution Moments Using Ground and Radar Remote Sensing Retrieval Methods. Journal of Geophysical Research Atmospheres. 127(16). 6 indexed citations
4.
Rocadenbosch, Francesc, Rubén Barragán, Stephen J. Frasier, et al.. (2020). Ceilometer-Based Rain-Rate Estimation: A Case-Study Comparison With S-Band Radar and Disdrometer Retrievals in the Context of VORTEX-SE. IEEE Transactions on Geoscience and Remote Sensing. 58(12). 8268–8284. 3 indexed citations
5.
Chavas, Daniel R. & Daniel T. Dawson. (2020). An Idealized Physical Model for the Severe Convective Storm Environmental Sounding. Journal of the Atmospheric Sciences. 78(2). 653–670. 13 indexed citations
6.
Dawson, Daniel T., Brett Roberts, & Ming Xue. (2019). A Method to Control the Environmental Wind Profile in Idealized Simulations of Deep Convection with Surface Friction. Monthly Weather Review. 147(11). 3935–3954. 10 indexed citations
7.
Snyder, Jeffrey C., Howard B. Bluestein, Daniel T. Dawson, & Youngsun Jung. (2017). Simulations of Polarimetric, X-Band Radar Signatures in Supercells. Part II: ZDR Columns and Rings and KDP Columns. Journal of Applied Meteorology and Climatology. 56(7). 2001–2026. 42 indexed citations
8.
Snyder, Jeffrey C., Howard B. Bluestein, Daniel T. Dawson, & Youngsun Jung. (2017). Simulations of Polarimetric, X-Band Radar Signatures in Supercells. Part I: Description of Experiment and Simulated ρhv Rings. Journal of Applied Meteorology and Climatology. 56(7). 1977–1999. 26 indexed citations
9.
Dawson, Daniel T.. (2016). Overview of Purdue's Mobile Disdrometer Operations During VORTEX-SE. 2 indexed citations
10.
Roberts, Brett, Ming Xue, Alexander D. Schenkman, & Daniel T. Dawson. (2016). The Role of Surface Drag in Tornadogenesis within an Idealized Supercell Simulation. Journal of the Atmospheric Sciences. 73(9). 3371–3395. 68 indexed citations
11.
Dawson, Daniel T., Ming Xue, Jason A. Milbrandt, & Alan Shapiro. (2015). Sensitivity of Real-Data Simulations of the 3 May 1999 Oklahoma City Tornadic Supercell and Associated Tornadoes to Multimoment Microphysics. Part I: Storm- and Tornado-Scale Numerical Forecasts. Monthly Weather Review. 143(6). 2241–2265. 40 indexed citations
12.
Jung, Youngsun, et al.. (2015). Comparison of Simulated Polarimetric Signatures in Idealized Supercell Storms Using Two-Moment Bulk Microphysics Schemes in WRF. Monthly Weather Review. 144(3). 971–996. 57 indexed citations
13.
Schenkman, Alexander D., Ming Xue, & Daniel T. Dawson. (2015). The Cause of Internal Outflow Surges in a High-Resolution Simulation of the 8 May 2003 Oklahoma City Tornadic Supercell. Journal of the Atmospheric Sciences. 73(1). 353–370. 38 indexed citations
14.
Dawson, Daniel T.. (2013). Comparisons of numerically-simulated and observed low-level polarimetric signatures in supercells. 2 indexed citations
15.
Stensrud, David J., Louis J. Wicker, Ming Xue, et al.. (2012). Progress and challenges with Warn-on-Forecast. Atmospheric Research. 123. 2–16. 173 indexed citations
16.
Dawson, Daniel T.. (2010). A preliminary survey of DSD measurements collected during VORTEX2. 3 indexed citations
17.
Dawson, Daniel T.. (2009). The impact of single- and multi-moment microphysics on numerical simulations of supercells and tornadoes of the 3 May 1999 Oklahoma Tornado outbreak. SHAREOK (University of Oklahoma; Oklahoma State University; Central Oklahoma University). 3 indexed citations
18.
Dawson, Daniel T., Ming Xue, Jason A. Milbrandt, & M. K. Yau. (2009). Comparison of Evaporation and Cold Pool Development between Single-Moment and Multimoment Bulk Microphysics Schemes in Idealized Simulations of Tornadic Thunderstorms. Monthly Weather Review. 138(4). 1152–1171. 186 indexed citations
19.
Dawson, Daniel T.. (2008). Improvements in the treatment of evaporation and melting in multi-moment versus single-moment bulk microphysics: results from numerical simulations of the 3 May 1999 Oklahoma tornadic storms. 2 indexed citations
20.
Zhang, Guifu, Ming Xue, Qing Cao, & Daniel T. Dawson. (2008). Diagnosing the Intercept Parameter for Exponential Raindrop Size Distribution Based on Video Disdrometer Observations: Model Development. Journal of Applied Meteorology and Climatology. 47(11). 2983–2992. 54 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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