Stephan Juricke

1.8k total citations
25 papers, 536 citations indexed

About

Stephan Juricke is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Stephan Juricke has authored 25 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Atmospheric Science, 19 papers in Global and Planetary Change and 13 papers in Oceanography. Recurrent topics in Stephan Juricke's work include Climate variability and models (19 papers), Oceanographic and Atmospheric Processes (12 papers) and Arctic and Antarctic ice dynamics (11 papers). Stephan Juricke is often cited by papers focused on Climate variability and models (19 papers), Oceanographic and Atmospheric Processes (12 papers) and Arctic and Antarctic ice dynamics (11 papers). Stephan Juricke collaborates with scholars based in Germany, United Kingdom and United States. Stephan Juricke's co-authors include Thomas Jung, T. N. Palmer, Thomas Rackow, Sergey Danilov, Dmitry Sidorenko, Marcel Oliver, Ralph Timmermann, Laure Zanna, Antje Weisheimer and Helge Goessling and has published in prestigious journals such as Journal of Climate, Geophysical Research Letters and Monthly Weather Review.

In The Last Decade

Stephan Juricke

25 papers receiving 533 citations

Peers

Stephan Juricke
Stephan Juricke
Citations per year, relative to Stephan Juricke Stephan Juricke (= 1×) peers Leela M. Frankcombe

Countries citing papers authored by Stephan Juricke

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Juricke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephan Juricke

This figure shows the co-authorship network connecting the top 25 collaborators of Stephan Juricke. A scholar is included among the top collaborators of Stephan Juricke 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 Stephan Juricke. Stephan Juricke 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.
Danilov, Sergey, et al.. (2024). Advancing Eddy Parameterizations: Dynamic Energy Backscatter and the Role of Subgrid Energy Advection and Stochastic Forcing. Journal of Advances in Modeling Earth Systems. 16(4). 3 indexed citations
2.
Danilov, Sergey, et al.. (2023). Advancing eddy parameterizations: Dynamic energy backscatter and the role of subgrid advection and stochastic forcing. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
3.
Juricke, Stephan, et al.. (2022). Scale Analysis on Unstructured Grids: Kinetic Energy and Dissipation Power Spectra on Triangular Meshes. Journal of Advances in Modeling Earth Systems. 15(1). 3 indexed citations
4.
Strømmen, Kristian, Stephan Juricke, & Fenwick Cooper. (2022). Improved teleconnection between Arctic sea ice and the North Atlantic Oscillation through stochastic process representation. Weather and Climate Dynamics. 3(3). 951–975. 9 indexed citations
5.
Franzke, Christian L. E., et al.. (2022). Systematic multi-scale decomposition of ocean variability using machine learning. Chaos An Interdisciplinary Journal of Nonlinear Science. 32(7). 73122–73122. 3 indexed citations
6.
Sidorenko, Dmitry, Sergey Danilov, Jan Streffing, et al.. (2021). AMOC Variability and Watermass Transformations in the AWI Climate Model. Journal of Advances in Modeling Earth Systems. 13(10). 6 indexed citations
7.
Juricke, Stephan, Sergey Danilov, Nikolay Koldunov, et al.. (2020). A Kinematic Kinetic Energy Backscatter Parametrization: From Implementation to Global Ocean Simulations. Journal of Advances in Modeling Earth Systems. 12(12). 21 indexed citations
8.
Rackow, Thomas & Stephan Juricke. (2019). Flow‐dependent stochastic coupling for climate models with high ocean‐to‐atmosphere resolution ratio. Quarterly Journal of the Royal Meteorological Society. 146(726). 284–300. 5 indexed citations
9.
Strømmen, Kristian, Hannah M. Christensen, David MacLeod, Stephan Juricke, & T. N. Palmer. (2019). Progress towards a probabilistic Earth system model: examining the impact of stochasticity in the atmosphere and land component of EC-Earth v3.2. Geoscientific model development. 12(7). 3099–3118. 12 indexed citations
10.
Strømmen, Kristian, Hannah M. Christensen, David MacLeod, Stephan Juricke, & T. N. Palmer. (2019). Introducing the Probabilistic Earth-System Model: Examining TheImpact of Stochasticity in EC-Earth v3.2. 1 indexed citations
11.
Juricke, Stephan, Sergey Danilov, Anton A. Kutsenko, & Marcel Oliver. (2019). Ocean kinetic energy backscatter parametrizations on unstructured grids: Impact on mesoscale turbulence in a channel. Ocean Modelling. 138. 51–67. 28 indexed citations
12.
Juricke, Stephan, et al.. (2018). Seasonal to annual ocean forecasting skill and the role of model and observational uncertainty. Quarterly Journal of the Royal Meteorological Society. 144(715). 1947–1964. 17 indexed citations
13.
Rackow, Thomas, Christine Wesche, Ralph Timmermann, et al.. (2017). A simulation of small to giant Antarctic iceberg evolution: Differential impact on climatology estimates. Journal of Geophysical Research Oceans. 122(4). 3170–3190. 59 indexed citations
14.
Davini, Paolo, Jost von Hardenberg, Susanna Corti, et al.. (2017). Climate SPHINX: evaluating the impact of resolution and stochastic physics parameterisations in the EC-Earth global climate model. Geoscientific model development. 10(3). 1383–1402. 66 indexed citations
15.
Juricke, Stephan, T. N. Palmer, & Laure Zanna. (2017). Stochastic Subgrid-Scale Ocean Mixing: Impacts on Low-Frequency Variability. Journal of Climate. 30(13). 4997–5019. 25 indexed citations
16.
Davini, Paolo, Jost von Hardenberg, Susanna Corti, et al.. (2016). Climate SPHINX: evaluating the impact of resolution and stochastic physics parameterisations in climate simulations. Bristol Research (University of Bristol). 7 indexed citations
17.
Sidorenko, Dmitry, Thomas Rackow, Thomas Jung, et al.. (2014). Towards multi-resolution global climate modeling with ECHAM6–FESOM. Part I: model formulation and mean climate. Climate Dynamics. 44(3-4). 757–780. 150 indexed citations
18.
Juricke, Stephan, Helge Goessling, & Thomas Jung. (2014). Potential sea ice predictability and the role of stochastic sea ice strength perturbations. Geophysical Research Letters. 41(23). 8396–8403. 14 indexed citations
19.
Rackow, Thomas, Christine Wesche, Ralph Timmermann, & Stephan Juricke. (2013). Modelling Southern Ocean iceberg drift and decay with FESOM-IB. Helmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut). 13911. 2 indexed citations
20.
Juricke, Stephan, Peter Lemke, Ralph Timmermann, & Thomas Rackow. (2012). Effects of Stochastic Ice Strength Perturbation on Arctic Finite Element Sea Ice Modeling. Journal of Climate. 26(11). 3785–3802. 25 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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