Huug M. van den Dool

4.6k total citations · 1 hit paper
68 papers, 3.7k citations indexed

About

Huug M. van den Dool is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Huug M. van den Dool has authored 68 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Global and Planetary Change, 54 papers in Atmospheric Science and 18 papers in Oceanography. Recurrent topics in Huug M. van den Dool's work include Climate variability and models (57 papers), Meteorological Phenomena and Simulations (51 papers) and Oceanographic and Atmospheric Processes (14 papers). Huug M. van den Dool is often cited by papers focused on Climate variability and models (57 papers), Meteorological Phenomena and Simulations (51 papers) and Oceanographic and Atmospheric Processes (14 papers). Huug M. van den Dool collaborates with scholars based in United States, Netherlands and China. Huug M. van den Dool's co-authors include Jin Huang, Anthony G. Barnston, Subodh Kumar Saha, Ming Cai, Peitao Peng, R. Wayne Higgins, Max J. Suárez, Diane Stokes, Hua Pan and P. Xie and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Climate and Geophysical Research Letters.

In The Last Decade

Huug M. van den Dool

67 papers receiving 3.5k citations

Hit Papers

The NCEP Climate Forecast System 2006 2026 2012 2019 2006 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huug M. van den Dool United States 27 3.3k 2.9k 1.0k 417 310 68 3.7k
Tim Stockdale United Kingdom 39 4.9k 1.5× 4.3k 1.5× 2.2k 2.1× 369 0.9× 359 1.2× 65 5.5k
Shrinivas Moorthi United States 19 4.5k 1.4× 4.5k 1.5× 1.7k 1.7× 353 0.8× 305 1.0× 38 5.5k
Malaquías Peña United States 16 3.5k 1.1× 3.4k 1.2× 1.4k 1.3× 357 0.9× 320 1.0× 43 4.3k
Antje Weisheimer United Kingdom 36 3.6k 1.1× 3.3k 1.1× 878 0.9× 314 0.8× 222 0.7× 118 4.1k
Suranjana Saha United States 15 5.6k 1.7× 5.4k 1.9× 2.1k 2.0× 403 1.0× 386 1.2× 26 6.8k
Gary T. Bates United States 23 3.9k 1.2× 3.7k 1.3× 842 0.8× 224 0.5× 538 1.7× 32 4.6k
Sudhir Nadiga United States 7 3.1k 0.9× 3.0k 1.0× 1.4k 1.4× 301 0.7× 287 0.9× 9 3.9k
John R. Lanzante United States 28 4.2k 1.3× 3.6k 1.2× 1.5k 1.5× 158 0.4× 174 0.6× 52 4.8k
Mark Iredell United States 11 2.2k 0.7× 2.4k 0.8× 976 0.9× 254 0.6× 226 0.7× 18 3.3k
Kiyotoshi Takahashi Japan 10 5.4k 1.6× 5.1k 1.8× 1.8k 1.8× 226 0.5× 353 1.1× 14 6.2k

Countries citing papers authored by Huug M. van den Dool

Since Specialization
Citations

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

Fields of papers citing papers by Huug M. van den Dool

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Huug M. van den Dool. 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 Huug M. van den Dool. The network helps show where Huug M. van den Dool may publish in the future.

Co-authorship network of co-authors of Huug M. van den Dool

This figure shows the co-authorship network connecting the top 25 collaborators of Huug M. van den Dool. A scholar is included among the top collaborators of Huug M. van den Dool 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 Huug M. van den Dool. Huug M. van den Dool 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.
Becker, Emily & Huug M. van den Dool. (2018). Assessing Probabilistic Forecasts of S2S Climate Extremes Using the NMME. AGU Fall Meeting Abstracts. 2018. 1 indexed citations
2.
Becker, Emily & Huug M. van den Dool. (2014). Probabilistic Forecasting with Nmme. AGU Fall Meeting Abstracts. 2014. 1 indexed citations
3.
Yu, Yueyue, Ming Cai, Rongcai Ren, & Huug M. van den Dool. (2014). Relationship between Warm Airmass Transport into the Upper Polar Atmosphere and Cold Air Outbreaks in Winter. Journal of the Atmospheric Sciences. 72(1). 349–368. 35 indexed citations
4.
Saha, Subodh Kumar, Sudhir Nadiga, W. Wang, et al.. (2006). The NCEP Climate Forecast System. Journal of Climate. 19(15). 3483–3517. 957 indexed citations breakdown →
5.
Koster, Randal D., Max J. Suárez, R. Wayne Higgins, & Huug M. van den Dool. (2003). Observational evidence that soil moisture variations affect precipitation. Geophysical Research Letters. 30(5). 225 indexed citations
6.
Dool, Huug M. van den, Subodh Kumar Saha, & Åsa Johansson. (2000). Empirical Orthogonal Teleconnections. Journal of Climate. 13(8). 1421–1435. 166 indexed citations
7.
Dool, Huug M. van den & Jia Qin. (1996). An Efficient and Accurate Method of Continuous Time Interpolation of Large-Scale Atmospheric Fields. Monthly Weather Review. 124(5). 964–971. 2 indexed citations
8.
Huang, Jin, Huug M. van den Dool, & Anthony G. Barnston. (1996). Long-Lead Seasonal Temperature Prediction Using Optimal Climate Normals. Journal of Climate. 9(4). 809–817. 91 indexed citations
9.
Dool, Huug M. van den, et al.. (1995). Low-frequency variabilities for widely different basic flows. Tellus A Dynamic Meteorology and Oceanography. 47(5). 526–526. 10 indexed citations
10.
Dool, Huug M. van den, et al.. (1995). Forecast Skill and Low-Frequency Variability in NMC DERF90 Experiments. Monthly Weather Review. 123(8). 2491–2514. 4 indexed citations
11.
Anderson, J. G. & Huug M. van den Dool. (1994). Skill and Return of Skill in Dynamic Extended-Range Forecasts. Monthly Weather Review. 122(3). 507–516. 19 indexed citations
12.
Dool, Huug M. van den. (1994). Searching for analogues, how long must we wait?. Tellus A Dynamic Meteorology and Oceanography. 46(3). 314–314. 215 indexed citations
13.
Dool, Huug M. van den. (1990). Time-mean precipitation and vertical motion patterns over the United States. Tellus A Dynamic Meteorology and Oceanography. 42(1). 51–51. 6 indexed citations
14.
Dool, Huug M. van den. (1987). A Bias in Skill in Forecasts Based on Analogues and Antilogues. Journal of Climate and Applied Meteorology. 26(9). 1278–1281. 22 indexed citations
15.
Dool, Huug M. van den, William H. Klein, & John E. Walsh. (1986). The Geographical Distribution and Seasonality of Persistence in Monthly Mean Air Temperatures over the United States. Monthly Weather Review. 114(3). 546–560. 18 indexed citations
16.
Dool, Huug M. van den. (1983). A Possible Explanation of the Observed Persistence of Monthly Mean Circulation Anomalies. Monthly Weather Review. 111(3). 539–544. 12 indexed citations
17.
Dool, Huug M. van den, et al.. (1981). A Verification of Monthly Weather Forecasts in the Seventies. Monthly Weather Review. 109(2). 306–312. 8 indexed citations
18.
Oerlemans, J. & Huug M. van den Dool. (1978). Energy Balance Climate Models: Stability Experiments with a Refined Albedo and Updated Coefficients for Infrared Emission. Journal of the Atmospheric Sciences. 35(3). 371–381. 37 indexed citations
19.
Dool, Huug M. van den & Willem van Dijk. (1973). Investigations of the 500mb level in relation to the general circulation. Meteorology and Atmospheric Physics. 22(4). 345–366. 1 indexed citations
20.
Dijk, W. van & Huug M. van den Dool. (1973). Investigations of the 500mb level in relation to the general circulation. Meteorology and Atmospheric Physics. 22(2-3). 169–203. 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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