Dale Barker

19.6k total citations · 5 hit papers
45 papers, 14.6k citations indexed

About

Dale Barker is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Dale Barker has authored 45 papers receiving a total of 14.6k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Atmospheric Science, 31 papers in Global and Planetary Change and 11 papers in Oceanography. Recurrent topics in Dale Barker's work include Meteorological Phenomena and Simulations (39 papers), Climate variability and models (31 papers) and Tropical and Extratropical Cyclones Research (11 papers). Dale Barker is often cited by papers focused on Meteorological Phenomena and Simulations (39 papers), Climate variability and models (31 papers) and Tropical and Extratropical Cyclones Research (11 papers). Dale Barker collaborates with scholars based in United States, United Kingdom and South Korea. Dale Barker's co-authors include Jimy Dudhia, Xiang‐Yu Huang, B. Klemp, O. Gill, Wei Wang, Wei Wang, William C. Skamarock, Joseph B. Klemp, David Gill and Wei Huang and has published in prestigious journals such as Journal of Climate, Monthly Notices of the Royal Astronomical Society and Monthly Weather Review.

In The Last Decade

Dale Barker

43 papers receiving 14.2k citations

Hit Papers

5 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.

A Description of the Advanced Research WRF Version 3

2008 7.2k citations B. Klemp, Jimy Dudhia et al. UCAR/NCAR profile →
A Description of the Advanced Research WRF Version 2

2005 2.1k citations William C. Skamarock, Joseph B. Klemp et al. UCAR/NCAR profile →
A Description of the Advanced Research WRF Model Version 4

2019 1.3k citations B. Klemp, Jimy Dudhia et al. UCAR/NCAR profile →
A Three-Dimensional Variational Data Assimilation System for MM5: Implementation and Initial Results

2004 774 citations Dale Barker, Wei Huang et al. Monthly Weather Review profile →
Use of NWP for Nowcasting Convective Precipitation: Recent Progress and Challenges

2013 379 citations Dale Barker et al. profile →

Peers

Countries citing papers authored by Dale Barker

Since Specialization

Citations

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

Fields of papers citing papers by Dale Barker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dale Barker. 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 Dale Barker. The network helps show where Dale Barker may publish in the future.

Co-authorship network of co-authors of Dale Barker

This figure shows the co-authorship network connecting the top 25 collaborators of Dale Barker. A scholar is included among the top collaborators of Dale Barker 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 Dale Barker. Dale Barker 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

#	Work	Indexed citations
1	Adaptive selection of members for convective-permitting regional ensemble prediction over the western Maritime Continent 2023 ·Frontiers in Environmental Science ·Kuldeep Sharma, (unknown), Aurore Porson, (unknown), Nigel Roberts, (unknown), Huqiang Zhang, Dale Barker	1
2	Development of a Hybrid Ensemble–Variational Data Assimilation System over the Western Maritime Continent 2022 ·Weather and Forecasting ·(unknown), Dale Barker	1
3	Weather Prediction for Singapore—Progress, Challenges, and Opportunities 2022 ·MDPI (MDPI AG) ·(unknown), Huqiang Zhang, Dale Barker, (unknown), (unknown), (unknown), Kuldeep Sharma, (unknown)	1
4	SINGV: A convective‐scale weather forecast model for Singapore 2020 ·Quarterly Journal of the Royal Meteorological Society ·Anurag Dipankar, Stuart Webster, (unknown), Claudio Sánchez, Rachel North, Kalli Furtado, Jonathan M. Wilkinson, Adrian Lock, Simon Vosper, Xiang‐Yu Huang, Dale Barker	26
5	A Description of the Advanced Research WRF Model Version 4 breakdown → 2019 ·UCAR/NCAR ·(unknown), B. Klemp, Jimy Dudhia, O. Gill, Zhiquan Liu, Judith Berner, Wei Wang, G. Powers, Gintaras Dūda, Dale Barker, Xiang‐Yu Huang	1255
6	Generalized background error covariance matrix model (GEN_BE v2.0) 2015 ·Geoscientific model development ·(unknown), Thomas Auligné, F. Vandenberghe, Dale Barker, J. Barré	69
7	Efficient Ensemble Covariance Localization in Variational Data Assimilation 2010 ·Monthly Weather Review ·Craig H. Bishop, Daniel Hodyss, Peter Steinle, (unknown), Adam Clayton, Andrew C. Lorenc, Dale Barker, Mark Buehner	29
8	A Description of the Advanced Research WRF Version 3 breakdown → 2008 ·UCAR/NCAR ·(unknown), B. Klemp, Jimy Dudhia, O. Gill, Dale Barker, Wei Wang, Xiang‐Yu Huang, (unknown)	7231
9	Background Error Statistics using WRF Ensembles Generated by Randomized Control Variables 2006 ·Asia-Pacific Journal of Atmospheric Sciences ·(unknown), Dale Barker, Ying-Hwa Kuo	4
10	A Tropical Cyclone Bogus Data Assimilation Scheme in the MM5 3D-Var System and Numerical Experiments with Typhoon Rusa (2002) Near Landfall 2006 ·Journal of the Meteorological Society of Japan Ser II ·Qingnong Xiao, Ying‐Hwa Kuo, Ying Zhang, Dale Barker, Duk-Jin Won	32
11	Incremental Analysis Updates Initialization Technique Applied to 10-km MM5 and MM5 3DVAR 2006 ·Monthly Weather Review ·(unknown), Ying‐Hwa Kuo, Dale Barker, Eunha Lim	29
12	Impact of Ground-based GPS PW and MM5-3DVar Background Error Statistics on Forecast of a Convective Case 2005 ·SOLA ·(unknown), Hiroyuki Kusaka, Dale Barker, Ying‐Hwa Kuo, Andrew Crook	7
13	A Description of the Advanced Research WRF Version 2 breakdown → 2005 ·UCAR/NCAR ·William C. Skamarock, Joseph B. Klemp, Jimy Dudhia, David Gill, Dale Barker, Wei Wang	2084
14	Assimilation and simulation of typhoon Rusa (2002) using the WRF system 2005 ·Advances in Atmospheric Sciences ·Jian‐Feng Gu, Qingnong Xiao, Ying‐Hwa Kuo, Dale Barker, (unknown), (unknown)	39
15	Three-Dimensional Variational Data Assimilation of Ground-Based GPS ZTD and Meteorological Observations during the 14 December 2001 Storm Event over the Western Mediterranean Sea 2004 ·Monthly Weather Review ·(unknown), F. Vandenberghe, Dale Barker, (unknown), A. Rius	56
16	Three-dimensional variational data assimilation in AMPS [presentation] 2003 ·Dale Barker, Wei Huang, Gintaras Dūda	0
17	A Three-demiensional Variational (3DVAR) Data Assimilation System for Use With MM5 2003 ·UCAR/NCAR ·Dale Barker, Wei Huang, Yong-run Guo, Al Bourgeois	22
18	The Met. Office global three‐dimensional variational data assimilation scheme 2000 ·Quarterly Journal of the Royal Meteorological Society ·Andrew C. Lorenc, Susan Ballard, R. S. Bell, N. B. Ingleby, (unknown), Dale Barker, (unknown), Adam Clayton, (unknown), (unknown), (unknown), (unknown)	371
19	On the use of radiosonde humidity observations in mid-latitude NWP 1996 ·Meteorology and Atmospheric Physics ·Andrew C. Lorenc, Dale Barker, R. S. Bell, Bruce Macpherson, Adam Maycock	36
20	Nonaxisymmetric dynamo solutions and extended starspots on late-type stars. 1995 ·D. Moss, Dale Barker, Axel Brandenburg, I. Tuominen	12

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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