Thomas M. Hamill

16.3k total citations · 4 hit papers
118 papers, 11.5k citations indexed

About

Thomas M. Hamill is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Thomas M. Hamill has authored 118 papers receiving a total of 11.5k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Atmospheric Science, 102 papers in Global and Planetary Change and 16 papers in Environmental Engineering. Recurrent topics in Thomas M. Hamill's work include Meteorological Phenomena and Simulations (102 papers), Climate variability and models (95 papers) and Atmospheric and Environmental Gas Dynamics (27 papers). Thomas M. Hamill is often cited by papers focused on Meteorological Phenomena and Simulations (102 papers), Climate variability and models (95 papers) and Atmospheric and Environmental Gas Dynamics (27 papers). Thomas M. Hamill collaborates with scholars based in United States, United Kingdom and Germany. Thomas M. Hamill's co-authors include Jeffrey S. Whitaker, Chris Snyder, Michael Scheuerer, Stephen J. Colucci, Xue Wei, Xuguang Wang, Craig H. Bishop, J. G. Anderson, Michael K. Tippett and Renate Hagedorn and has published in prestigious journals such as Journal of Climate, Water Resources Research and Geophysical Research Letters.

In The Last Decade

Thomas M. Hamill

117 papers receiving 11.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Ensemble Data Assimilation without Perturbed Observations

2002 1.2k citations Jeffrey S. Whitaker, Thomas M. Hamill Monthly Weather Review profile →
Distance-Dependent Filtering of Background Error Covariance Estimates in an Ensemble Kalman Filter

2001 838 citations Thomas M. Hamill, Jeffrey S. Whitaker et al. Monthly Weather Review profile →
Interpretation of Rank Histograms for Verifying Ensemble Forecasts

2001 656 citations Thomas M. Hamill Monthly Weather Review profile →
Ensemble Square Root Filters*

2003 605 citations Thomas M. Hamill, Jeffrey S. Whitaker et al. Monthly Weather Review profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas M. Hamill United States	49	9.8k	9.4k	2.1k	1.3k	980	118	11.5k
Roberto Buizza United Kingdom	54	8.2k 0.8×	8.2k 0.9×	1.4k 0.7×	1.1k 0.9×	1.1k 1.1×	141	10.5k
Kuolin Hsu United States	58	10.8k 1.1×	10.4k 1.1×	4.7k 2.3×	621 0.5×	4.8k 4.9×	192	15.8k
Jeffrey S. Whitaker United States	39	7.2k 0.7×	6.9k 0.7×	1.2k 0.6×	1.5k 1.1×	468 0.5×	87	8.3k
P. L. Houtekamer Canada	24	5.5k 0.6×	5.0k 0.5×	1.4k 0.7×	933 0.7×	365 0.4×	36	6.5k
Péter Bauer United Kingdom	44	6.1k 0.6×	5.0k 0.5×	1.1k 0.5×	642 0.5×	310 0.3×	137	7.5k
Dale Barker United States	28	12.4k 1.3×	10.6k 1.1×	2.7k 1.3×	1.7k 1.3×	450 0.5×	45	14.6k
Fuqing Zhang United States	69	14.2k 1.5×	11.4k 1.2×	1.5k 0.7×	3.0k 2.3×	363 0.4×	306	15.5k
Max J. Suárez United States	59	12.2k 1.2×	13.0k 1.4×	1.8k 0.9×	3.4k 2.6×	1.5k 1.5×	159	15.5k
Klaus Fraedrich Germany	53	5.9k 0.6×	7.6k 0.8×	715 0.3×	1.4k 1.1×	815 0.8×	322	9.6k
Praveen Kumar United States	48	2.4k 0.2×	4.3k 0.5×	1.9k 0.9×	486 0.4×	2.9k 2.9×	191	8.6k

Countries citing papers authored by Thomas M. Hamill

Since Specialization

Citations

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

Fields of papers citing papers by Thomas M. Hamill

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas M. Hamill. 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 Thomas M. Hamill. The network helps show where Thomas M. Hamill may publish in the future.

Co-authorship network of co-authors of Thomas M. Hamill

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas M. Hamill. A scholar is included among the top collaborators of Thomas M. Hamill 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 Thomas M. Hamill. Thomas M. Hamill 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

1.

Worsnop, Rochelle P., et al.. (2024). RUFCO: A Deep Learning Framework to Postprocess Subseasonal Precipitation Accumulation Forecasts. 3(4).

2.

Hamill, Thomas M., et al.. (2023). Improving National Blend of Models Probabilistic Precipitation Forecasts Using Long Time Series of Reforecasts and Precipitation Reanalyses. Part I: Methods. Monthly Weather Review. 151(6). 1521–1534. 4 indexed citations

3.

Brotzge, Jerald A., Frederick H. Carr, Jordan Gerth, et al.. (2023). Challenges and Opportunities in Numerical Weather Prediction. Bulletin of the American Meteorological Society. 104(3). E698–E705. 33 indexed citations

4.

Guan, Hong, Yuejian Zhu, Eric Sinsky, et al.. (2022). GEFSv12 Reforecast Dataset for Supporting Subseasonal and Hydrometeorological Applications. Monthly Weather Review. 150(3). 647–665. 41 indexed citations

5.

Hoell, Andrew, Judith Perlwitz, Jon Eischeid, et al.. (2019). Towards Probabilistic Multivariate ENSO Monitoring. Geophysical Research Letters. 46(17-18). 10532–10540. 88 indexed citations

6.

Hamill, Thomas M.. (2019). Benchmarking the Raw Model-Generated Background Forecast in Rapidly Updated Surface Temperature Analyses. Part I: Stations. Monthly Weather Review. 148(2). 689–700. 3 indexed citations

7.

Worsnop, Rochelle P., Michael Scheuerer, & Thomas M. Hamill. (2019). Extended-Range Probabilistic Fire-Weather Forecasting Based on Ensemble Model Output Statistics and Ensemble Copula Coupling. Monthly Weather Review. 148(2). 499–521. 14 indexed citations

8.

Worsnop, Rochelle P., Michael Scheuerer, Thomas M. Hamill, & Julie K. Lundquist. (2018). Generating wind power scenarios for probabilistic ramp event prediction using multivariate statistical post-processing. Wind energy science. 3(1). 371–393. 18 indexed citations

9.

Worsnop, Rochelle P., Michael Scheuerer, Thomas M. Hamill, & Julie K. Lundquist. (2018). Generating wind power scenarios for probabilistic ramp event prediction using multivariate statistical post-processing. 1 indexed citations

10.

Penny, Stephen G. & Thomas M. Hamill. (2017). Coupled Data Assimilation for Integrated Earth System Analysis and Prediction. Bulletin of the American Meteorological Society. 98(7). ES169–ES172. 95 indexed citations

11.

Swinbank, Richard, Piers Buchanan, Lizzie S. R. Froude, et al.. (2015). The TIGGE Project and Its Achievements. Bulletin of the American Meteorological Society. 97(1). 49–67. 196 indexed citations

12.

Scheuerer, Michael & Thomas M. Hamill. (2014). National Oceanic and Atmospheric Administration (NOAA), Earth System Research Laboratory,. 21 indexed citations

13.

Hamill, Thomas M.. (2012). Verification of TIGGE Multimodel and ECMWF Reforecast-Calibrated Probabilistic Precipitation Forecasts over the Contiguous United States*. Monthly Weather Review. 140(7). 2232–2252. 68 indexed citations

14.

Monache, Luca Delle, J. E. Gaynor, Thomas M. Hamill, et al.. (2011). A Weather and Climate Enterprise Strategic Implementation Plan for Generating and Communicating Forecast Uncertainty Information. Bulletin of the American Meteorological Society. 92(12). 1651–1666. 55 indexed citations

15.

Schaake, John C., Thomas M. Hamill, Roberto Buizza, & Martyn Clark. (2007). The Hydrological Ensemble Prediction Experiment. 24 indexed citations

16.

Hamill, Thomas M. & Jeffrey S. Whitaker. (2007). Ensemble Calibration of 500-hPa Geopotential Height and 850-hPa and 2-m Temperatures Using Reforecasts. Monthly Weather Review. 135(9). 3273–3280. 41 indexed citations

17.

Hamill, Thomas M., Chris Snyder, & Jeffrey S. Whitaker. (2003). Approximate analysis error covariance singular vectors in a simple GCM. EGS - AGU - EUG Joint Assembly. 13876. 1 indexed citations

18.

Hamill, Thomas M., Chris Snyder, & Jeffrey S. Whitaker. (2003). Ensemble Forecasts and the Properties of Flow-Dependent Analysis-Error Covariance Singular Vectors. Monthly Weather Review. 131(8). 1741–1758. 40 indexed citations

19.

Snyder, Chris, Thomas M. Hamill, & Stanley B. Trier. (2002). Linear Evolution of Error Covariances in a Quasigeostrophic Model. Monthly Weather Review. 131(1). 189–205. 43 indexed citations

20.

Isaacs, Ronald G., et al.. (1994). Support of Environmental Requirements for Cloud Analysis and Archive (SERCAA): Algorithm Descriptions. Defense Technical Information Center (DTIC). 13 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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