Christopher Kadow

2.3k total citations · 1 hit paper
29 papers, 751 citations indexed

About

Christopher Kadow is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Christopher Kadow has authored 29 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Atmospheric Science, 25 papers in Global and Planetary Change and 4 papers in Oceanography. Recurrent topics in Christopher Kadow's work include Climate variability and models (24 papers), Meteorological Phenomena and Simulations (23 papers) and Tropical and Extratropical Cyclones Research (6 papers). Christopher Kadow is often cited by papers focused on Climate variability and models (24 papers), Meteorological Phenomena and Simulations (23 papers) and Tropical and Extratropical Cyclones Research (6 papers). Christopher Kadow collaborates with scholars based in Germany, United Kingdom and United States. Christopher Kadow's co-authors include Uwe Ulbrich, David Hall, Holger Pohlmann, Jan Saynisch‐Wagner, Joanna Staneva, Maike Sonnewald, Christopher Irrgang, Elizabeth A. Barnes, Niklas Boers and Wolfgang A. Müller and has published in prestigious journals such as Nature, Nature Communications and Scientific Reports.

In The Last Decade

Christopher Kadow

27 papers receiving 734 citations

Hit Papers

Towards neural Earth system modelling by integrating arti... 2021 2026 2022 2024 2021 50 100 150
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.

  1. Towards neural Earth system modelling by integrating artificial intelligence in Earth system science
    2021 160 citations Christopher Kadow et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher Kadow Germany 14 533 528 156 111 45 29 751
S. R. H. Rizvi United States 10 547 1.0× 648 1.2× 89 0.6× 76 0.7× 23 0.5× 21 730
Guo‐Yuan Lien Japan 15 651 1.2× 782 1.5× 107 0.7× 74 0.7× 30 0.7× 22 858
Weimin Zhang China 14 256 0.5× 384 0.7× 219 1.4× 114 1.0× 37 0.8× 64 713
Stephen G. Penny United States 19 575 1.1× 676 1.3× 395 2.5× 135 1.2× 102 2.3× 50 928
Jeong-Hwan Kim South Korea 6 602 1.1× 569 1.1× 272 1.7× 226 2.0× 79 1.8× 12 959
G. Leptoukh United States 8 433 0.8× 355 0.7× 110 0.7× 77 0.7× 36 0.8× 30 609
M. Suarez United States 7 324 0.6× 323 0.6× 114 0.7× 51 0.5× 20 0.4× 11 549
Sébastien Denvil France 15 987 1.9× 882 1.7× 188 1.2× 45 0.4× 24 0.5× 26 1.2k
Seiya Nishizawa Japan 13 502 0.9× 553 1.0× 31 0.2× 79 0.7× 41 0.9× 53 751
Thorsten Reinhardt Germany 7 775 1.5× 815 1.5× 45 0.3× 134 1.2× 28 0.6× 8 945

Countries citing papers authored by Christopher Kadow

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Kadow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Kadow

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Kadow. A scholar is included among the top collaborators of Christopher Kadow 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 Christopher Kadow. Christopher Kadow 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.
Brune, Sebastian, et al.. (2025). Improving ocean reanalyses of observationally sparse regions with transfer learning. Scientific Reports. 15(1). 2640–2640. 1 indexed citations
2.
Plésiat, Étienne, Robert Dunn, Markus G. Donat, & Christopher Kadow. (2024). Artificial intelligence reveals past climate extremes by reconstructing historical records. Nature Communications. 15(1). 9191–9191. 10 indexed citations
3.
Sippel, Sebastian, Elizabeth C. Kent, Nicolai Meinshausen, et al.. (2024). Early-twentieth-century cold bias in ocean surface temperature observations. Nature. 635(8039). 618–624. 8 indexed citations
4.
Olonscheck, Dirk, Laura Suárez‐Gutiérrez, Sebastian Milinski, et al.. (2023). The New Max Planck Institute Grand Ensemble With CMIP6 Forcing and High‐Frequency Model Output. Journal of Advances in Modeling Earth Systems. 15(10). 28 indexed citations
5.
Salcedo‐Sanz, Sancho, Jorge Pérez‐Aracil, Javier Del Ser, et al.. (2023). Analysis, characterization, prediction, and attribution of extreme atmospheric events with machine learning and deep learning techniques: a review. Theoretical and Applied Climatology. 155(1). 1–44. 31 indexed citations
6.
Salcedo‐Sanz, Sancho, Jorge Pérez‐Aracil, Javier Del Ser, et al.. (2022). Analysis, Characterization, Prediction and Attribution of Extreme Atmospheric Events with Machine Learning: a Review. arXiv (Cornell University). 3 indexed citations
7.
Kadow, Christopher, David Hall, & Uwe Ulbrich. (2020). Artificial intelligence reconstructs missing climate information. Nature Geoscience. 13(6). 408–413. 128 indexed citations
8.
Brune, Sebastian, Christopher Kadow, Gereon Gollan, et al.. (2019). Initialization and Ensemble Generation for Decadal Climate Predictions: A Comparison of Different Methods. Journal of Advances in Modeling Earth Systems. 11(1). 149–172. 31 indexed citations
9.
10.
Schuster, Mareike, Jens Grieger, Christopher Kadow, et al.. (2019). Improvement in the decadal prediction skill of the North Atlantic extratropical winter circulation through increased model resolution. Earth System Dynamics. 10(4). 901–917. 8 indexed citations
11.
Huang, Bo, Ulrich Cubasch, & Christopher Kadow. (2018). Seasonal prediction skill of East Asian summer monsoon in CMIP5 models. Earth System Dynamics. 9(3). 985–997. 10 indexed citations
12.
Kadow, Christopher, et al.. (2018). Assessing the impact of a future volcanic eruption on decadal predictions. Earth System Dynamics. 9(2). 701–715. 10 indexed citations
13.
Kadow, Christopher, et al.. (2017). Decadal climate predictions improved by ocean ensemble dispersion filtering. Journal of Advances in Modeling Earth Systems. 9(2). 1138–1149. 13 indexed citations
14.
Rust, Henning W., et al.. (2016). DECO - Extracting and converting meteorological driving data for hydrological models via a web-based platform. EGUGA.
15.
Kadow, Christopher, et al.. (2016). Correction: MurCSS: A Tool for Standardized Evaluation of Decadal Hindcast Systems. Journal of Open Research Software. 4(1). 24–24. 4 indexed citations
16.
Timmreck, Claudia, et al.. (2015). The impact of stratospheric volcanic aerosol on decadal‐scale climate predictions. Geophysical Research Letters. 43(2). 834–842. 39 indexed citations
17.
Kruschke, Tim, Henning W. Rust, Christopher Kadow, et al.. (2015). Probabilistic evaluation of decadal prediction skill regarding Northern Hemisphere winter storms. Meteorologische Zeitschrift. 25(6). 721–738. 38 indexed citations
18.
Kadow, Christopher, et al.. (2015). Evaluation of forecasts by accuracy and spread in the MiKlip decadal climate prediction system. Meteorologische Zeitschrift. 25(6). 631–643. 30 indexed citations
19.
Kruschke, Tim, Henning W. Rust, Christopher Kadow, Gregor C. Leckebusch, & Uwe Ulbrich. (2014). Evaluating decadal predictions of northern hemispheric cyclone frequencies. Tellus A Dynamic Meteorology and Oceanography. 66(1). 22830–22830. 24 indexed citations
20.
Pohlmann, Holger, Wolfgang A. Müller, Ketan Kulkarni, et al.. (2013). Improved forecast skill in the tropics in the new MiKlip decadal climate predictions. Geophysical Research Letters. 40(21). 5798–5802. 74 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by S. R. H. Rizvi Breakdown of academic impact, for papers by Guo‐Yuan Lien Breakdown of academic impact, for papers by Weimin Zhang Breakdown of academic impact, for papers by Stephen G. Penny Breakdown of academic impact, for papers by Jeong-Hwan Kim Breakdown of academic impact, for papers by G. Leptoukh Breakdown of academic impact, for papers by M. Suarez Breakdown of academic impact, for papers by Sébastien Denvil Breakdown of academic impact, for papers by Seiya Nishizawa Breakdown of academic impact, for papers by Thorsten Reinhardt
Rankless by CCL
2026