David L. Williamson

862 total citations
21 papers, 609 citations indexed

About

David L. Williamson is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, David L. Williamson has authored 21 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Atmospheric Science, 13 papers in Global and Planetary Change and 6 papers in Oceanography. Recurrent topics in David L. Williamson's work include Climate variability and models (11 papers), Meteorological Phenomena and Simulations (10 papers) and Atmospheric and Environmental Gas Dynamics (5 papers). David L. Williamson is often cited by papers focused on Climate variability and models (11 papers), Meteorological Phenomena and Simulations (10 papers) and Atmospheric and Environmental Gas Dynamics (5 papers). David L. Williamson collaborates with scholars based in United States. David L. Williamson's co-authors include Jerry G. Olson, James S. Boyle, R.T. Cederwall, Michael Fiorino, Thomas J. Phillips, Gerald L. Potter, Shaocheng Xie, J. J. Hnilo, J J Yio and Philip J. Rasch and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Climate and Monthly Weather Review.

In The Last Decade

David L. Williamson

21 papers receiving 554 citations

Peers

David L. Williamson

GPC

OCEAN

Mariano Hortal United Kingdom

Koji Goto Japan

V. R. Lamb United States

John Henderson Canada

Xindong Peng China

Hyeong‐Bin Cheong South Korea

Michail Diamantakis United Kingdom

W. T. M. Verkley Netherlands

Christian Kühnlein United Kingdom

Jean‐François Lemieux Canada

Mariano Hortal United Kingdom

David L. Williamson

539 ×1.1

433 ×1.1

GPC

92 ×0.9

OCEAN

104 ×1.1

33 ×1.3

Citations per year, relative to David L. Williamson David L. Williamson (= 1×) peers Mariano Hortal

Countries citing papers authored by David L. Williamson

Since Specialization

Citations

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

Fields of papers citing papers by David L. Williamson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David L. Williamson

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

Li, Fuyu, et al.. (2011). Impact of horizontal resolution on simulation of precipitation extremes in an aqua-planet version of Community Atmospheric Model (CAM3). Tellus A Dynamic Meteorology and Oceanography. 1 indexed citations

Williamson, David L.. (2007). The Evolution of Dynamical Cores for Global Atmospheric Models(125th Anniversary Issue of the Meteorological Society of Japan). Journal of the Meteorological Society of Japan Ser II. 85. 241–269. 8 indexed citations

Phillips, Thomas J., Gerald L. Potter, David L. Williamson, et al.. (2004). Evaluating Parameterizations in General Circulation Models: Climate Simulation Meets Weather Prediction. Bulletin of the American Meteorological Society. 85(12). 1903–1916. 168 indexed citations

Williamson, David L.. (1999). Convergence of atmospheric simulations with increasing horizontal resolution and fixed forcing scales. Tellus A Dynamic Meteorology and Oceanography. 51(5). 663–673. 16 indexed citations

Williamson, David L., Jerry G. Olson, & Byron A. Boville. (1998). A Comparison of Semi-Lagrangian and Eulerian Tropical Climate Simulations. Monthly Weather Review. 126(4). 1001–1012. 35 indexed citations

Swarztrauber, Paul N., David L. Williamson, & John B. Drake. (1998). The Cartesian method for solving partial differential equations in spherical geometry. Dynamics of Atmospheres and Oceans. 27(1-4). 679–706. 30 indexed citations

Peylin, Philippe, Jan Polcher‬, Gordon B. Bonan, David L. Williamson, & K. Laval. (1997). Comparison of two complex land surface schemes coupled to the National Center for Atmospheric Research general circulation model. Journal of Geophysical Research Atmospheres. 102(D16). 19413–19431. 7 indexed citations

Williamson, David L., et al.. (1996). Further Discussion on Simulation of the Modern Arctic Climate by the NCAR CCM1. Journal of Climate. 9(7). 1669–1672. 2 indexed citations

Williamson, David L. & Jerry G. Olson. (1994). Climate Simulations with a Semi-Lagrangian Version of the NCAR Community Climate Model. Monthly Weather Review. 122(7). 1594–1610. 84 indexed citations

10.

Hartley, Dana E., David L. Williamson, Philip J. Rasch, & Ronald G. Prinn. (1994). Examination of tracer transport in the NCAR CCM2 by comparison of CFCl₃ simulations with ALE/GAGE observations. Journal of Geophysical Research Atmospheres. 99(D6). 12885–12896. 24 indexed citations

11.

Rasch, Philip J. & David L. Williamson. (1990). Computational aspects of moisture transport in global models of the atmosphere. Quarterly Journal of the Royal Meteorological Society. 116(495). 1071–1090. 19 indexed citations

12.

Williamson, David L.. (1990). Semi-Lagrangian moisture transport in the NMC spectral model. Tellus A Dynamic Meteorology and Oceanography. 42(4). 413–413. 27 indexed citations

13.

Williamson, David L.. (1988). The Effect of Vertical Finite Difference Approximations on Simulations with the NCAR Community Climate Model. Journal of Climate. 1(1). 40–58. 23 indexed citations

14.

Williamson, David L., Ronald M. Errico, & Roger Daley. (1987). Global Average Temperature Oscillations in Numerical Weather Forecasts. Monthly Weather Review. 115(1). 208–213. 1 indexed citations

15.

Daley, Roger, Joseph Tribbia, & David L. Williamson. (1981). The Excitation of Large-Scale Free Rossby Waves in Numerical Weather Prediction. Monthly Weather Review. 109(9). 1836–1861. 16 indexed citations

16.

Williamson, David L., Roger Daley, & Thomas Schlatter. (1981). The Balance between Mass and Wind Fields Resulting from Multivariate Optimal Interpolation. Monthly Weather Review. 109(11). 2357–2376. 10 indexed citations

17.

Williamson, David L.. (1976). Linear Stability of Finite-Difference Approximations on a Uniform Latitude-Longitude Grid with Fourier Filtering. Monthly Weather Review. 104(1). 31–41. 5 indexed citations

18.

Williamson, David L. & G. L. Browning. (1973). Comparison of Grids and Difference Approximations for Numerical Weather Prediction Over a Sphere. Journal of applied meteorology. 12(2). 264–274. 28 indexed citations

19.

Williamson, David L.. (1970). INTEGRATION OF THE PRIMITIVE BAROTROPIC MODEL OVER A SPHERICAL GEODESIC GRID. Monthly Weather Review. 98(7). 512–520. 28 indexed citations

20.

Williamson, David L.. (1968). Integration of the barotropic vorticity equation on a spherical geodesic grid. Tellus A Dynamic Meteorology and Oceanography. 20(4). 642–642. 72 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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