Mark Buehner

3.7k total citations
74 papers, 2.5k citations indexed

About

Mark Buehner is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Mark Buehner has authored 74 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Atmospheric Science, 48 papers in Global and Planetary Change and 13 papers in Environmental Engineering. Recurrent topics in Mark Buehner's work include Meteorological Phenomena and Simulations (47 papers), Climate variability and models (46 papers) and Arctic and Antarctic ice dynamics (32 papers). Mark Buehner is often cited by papers focused on Meteorological Phenomena and Simulations (47 papers), Climate variability and models (46 papers) and Arctic and Antarctic ice dynamics (32 papers). Mark Buehner collaborates with scholars based in Canada, United States and United Kingdom. Mark Buehner's co-authors include P. L. Houtekamer, Herschel L. Mitchell, Cécilien Charette, Martin Charron, Bin He, Tom Carrières, Alexander S. Komarov, Bjarne Hansen, G. Pellerin and Ľuboš Spaček and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Mark Buehner

73 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Buehner Canada 25 2.4k 1.9k 518 344 57 74 2.5k
Adrian Lock United Kingdom 36 4.0k 1.7× 3.9k 2.0× 689 1.3× 387 1.1× 29 0.5× 73 4.5k
Massimo Bonavita United Kingdom 19 1.8k 0.8× 1.7k 0.9× 214 0.4× 466 1.4× 16 0.3× 39 2.1k
M. K. MacVean United Kingdom 18 1.8k 0.7× 1.5k 0.8× 610 1.2× 283 0.8× 31 0.5× 22 2.2k
Michael Fisher United Kingdom 17 2.2k 0.9× 2.2k 1.2× 216 0.4× 436 1.3× 19 0.3× 27 2.6k
Carolyn A. Reynolds United States 29 2.1k 0.9× 1.9k 1.0× 263 0.5× 522 1.5× 13 0.2× 111 2.6k
Derek J. Posselt United States 27 1.9k 0.8× 1.6k 0.8× 410 0.8× 330 1.0× 11 0.2× 109 2.3k
J. Teixeira United States 33 2.5k 1.1× 2.2k 1.2× 514 1.0× 412 1.2× 12 0.2× 82 3.0k
Irina Sandu United Kingdom 26 1.8k 0.7× 1.6k 0.8× 254 0.5× 210 0.6× 23 0.4× 59 2.0k
Günther Zängl Germany 28 2.5k 1.1× 2.0k 1.0× 412 0.8× 169 0.5× 19 0.3× 90 2.8k
Ronald M. Errico United States 26 2.4k 1.0× 2.3k 1.2× 300 0.6× 434 1.3× 9 0.2× 103 2.8k

Countries citing papers authored by Mark Buehner

Since Specialization
Citations

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

Fields of papers citing papers by Mark Buehner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Buehner

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Buehner. A scholar is included among the top collaborators of Mark Buehner 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 Mark Buehner. Mark Buehner 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.
Buehner, Mark, Jean‐François Caron, Alain Caya, et al.. (2025). The Modular and Integrated Data Assimilation System at Environment and Climate Change Canada (MIDAS v3.9.1). Geoscientific model development. 18(1). 1–18.
2.
Dirkson, Arlan & Mark Buehner. (2025). The Effect of Ensemble Size on the Mean Squared Error and Spread–Error Relationship. Monthly Weather Review. 153(7). 1219–1229. 1 indexed citations
3.
Skachko, Sergey, et al.. (2024). A new global daily sea‐surface temperature analysis system at Environment and Climate Change Canada. Quarterly Journal of the Royal Meteorological Society. 150(763). 3774–3795. 1 indexed citations
4.
Komarov, Alexander S., et al.. (2021). Ocean Surface Wind Speed Retrieval From the RADARSAT Constellation Mission Co- and Cross-Polarization Images Without Wind Direction Input. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–15. 4 indexed citations
5.
Caron, Jean‐François, et al.. (2020). Hybrid Background Error Covariances for a Limited-Area Deterministic Weather Prediction System. Weather and Forecasting. 35(3). 1051–1066. 5 indexed citations
6.
Skachko, Sergey, Mark Buehner, Stéphane Laroche, et al.. (2019). Weakly coupled atmosphere–ocean data assimilation in the Canadian global prediction system (v1). Geoscientific model development. 12(12). 5097–5112. 14 indexed citations
7.
Buehner, Mark, et al.. (2019). A practical assimilation approach to extract smaller‐scale information from observations with spatially correlated errors: An idealized study. Quarterly Journal of the Royal Meteorological Society. 146(726). 468–482. 20 indexed citations
8.
Komarov, Alexander S. & Mark Buehner. (2019). Detection of First-Year and Multi-Year Sea Ice from Dual-Polarization SAR Images Under Cold Conditions. IEEE Transactions on Geoscience and Remote Sensing. 57(11). 9109–9123. 26 indexed citations
9.
Buehner, Mark, et al.. (2018). Practical Ensemble-Based Approaches to Estimate Atmospheric Background Error Covariances for Limited-Area Deterministic Data Assimilation. Monthly Weather Review. 146(11). 3717–3733. 5 indexed citations
10.
Penny, Stephen G., Santha Akella, Mark Buehner, et al.. (2017). Coupled Data Assimilation for Integrated Earth System Analysis and Prediction: Goals, Challenges, and Recommendations. 31 indexed citations
11.
Pellerin, P., G. C. Moore Smith, Charles‐Emmanuel Testut, et al.. (2015). The CONCEPTS Global Ice-Ocean Prediction System: Establishing an Environmental Prediction Capability in Canada. EGU General Assembly Conference Abstracts. 7170. 1 indexed citations
12.
Scott, K. Andrea, et al.. (2015). Assimilation of ice and water observations from SAR imagery to improve estimates of sea ice concentration. Tellus A Dynamic Meteorology and Oceanography. 67(1). 27218. 2 indexed citations
13.
Buehner, Mark, Alain Caya, Jean‐François Lemieux, et al.. (2015). Towards ensemble data assimilation for the Environment Canada Regional Ice Prediction System. Quarterly Journal of the Royal Meteorological Society. 142(695). 1090–1099. 11 indexed citations
14.
Buehner, Mark, et al.. (2014). Assimilation of SSMIS and ASCAT data and the replacement of highly uncertain estimates in the Environment Canada Regional Ice Prediction System. Quarterly Journal of the Royal Meteorological Society. 142(695). 562–573. 45 indexed citations
15.
Scott, K. Andrea, Mark Buehner, Alain Caya, & Tom Carrières. (2012). A preliminary evaluation of the impact of assimilating AVHRR data on sea ice concentration analyses. Remote Sensing of Environment. 128. 212–223. 7 indexed citations
16.
Buehner, Mark, et al.. (2012). A New Environment Canada Regional Ice Analysis System. ATMOSPHERE-OCEAN. 51(1). 18–34. 50 indexed citations
17.
Caya, Alain, Mark Buehner, & Tom Carrières. (2009). Analysis and Forecasting of Sea Ice Conditions with Three-Dimensional Variational Data Assimilation and a Coupled Ice–Ocean Model. Journal of Atmospheric and Oceanic Technology. 27(2). 353–369. 46 indexed citations
18.
Garand, Louis, Sylvain Heilliette, & Mark Buehner. (2007). Interchannel Error Correlation Associated with AIRS Radiance Observations: Inference and Impact in Data Assimilation. Journal of Applied Meteorology and Climatology. 46(6). 714–725. 39 indexed citations
19.
Buehner, Mark, et al.. (2005). Evaluation of new estimates of background‐ and observation‐error covariances for variational assimilation. Quarterly Journal of the Royal Meteorological Society. 131(613). 3373–3383. 19 indexed citations
20.
Buehner, Mark. (2000). Lagrangian measurements and low-dimensional models for oceanographic and atmospheric data assimilation.. Library and Archives Canada (Government of Canada). 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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