Articles | Volume 8, issue 1
https://doi.org/10.5194/esd-8-75-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/esd-8-75-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
10 Feb 2017
Research article |
| 10 Feb 2017
A network-based detection scheme for the jet stream core
Potsdam Institute for Climate Impact Research, Potsdam, Germany
Department of Physics, University of Potsdam, Potsdam, Germany
Tarek Mamdouh
Department of Computer Graphics, Max Planck Institute for Informatics, Saarbrücken, Germany
Stefan Petri
Potsdam Institute for Climate Impact Research, Potsdam, Germany
Thomas Nocke
Potsdam Institute for Climate Impact Research, Potsdam, Germany
Tino Weinkauf
Department of Computer Graphics, Max Planck Institute for Informatics, Saarbrücken, Germany
School of Computer Science and Communication, KTH Royal Institute of Technology, Stockholm, Sweden
Dim Coumou
Potsdam Institute for Climate Impact Research, Potsdam, Germany
Institute for Environmental Studies (IVM), VU University Amsterdam, Amsterdam, the Netherlands
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Total article views: 4,273 (including HTML, PDF, and XML)
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Total article views: 941 (including HTML, PDF, and XML)
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Cited
21 citations as recorded by crossref.
- Atmospheric jet stream variability reflects vegetation activity in Europe G. Messori et al. https://doi.org/10.1016/j.agrformet.2022.109008
- Variability of the low-level circulation of the South American Monsoon analysed with complex networks M. Gelbrecht et al. https://doi.org/10.1140/epjs/s11734-021-00187-w
- Scalable Feature Extraction and Tracking (SCAFET): a general framework for feature extraction from large climate data sets A. Nellikkattil et al. https://doi.org/10.5194/gmd-17-301-2024
- Taking advantage of quasi-periodic signals for S2S operational forecast from a perspective of deep learning Y. Zhou & Q. Zhao https://doi.org/10.1038/s41598-023-31394-1
- An Automatic Jet Stream Axis Identification Method Based on Semi-Supervised Learning J. Gan et al. https://doi.org/10.3390/atmos15091077
- Decrease of the spatial variability and local dimension of the Euro-Atlantic eddy-driven jet stream with global warming R. Noyelle et al. https://doi.org/10.1007/s00382-023-07022-z
- A 45‐year climatology of extratropical cyclone locations relative to upper‐level jet streak determined by an automatic procedure J. Degirmendžić https://doi.org/10.1002/joc.7121
- Changes in mean flow and atmospheric wave activity in the North Atlantic sector H. Paeth & F. Pollinger https://doi.org/10.1002/qj.3660
- Robust Detection and Visualization of Jet-Stream Core Lines in Atmospheric Flow M. Kern et al. https://doi.org/10.1109/TVCG.2017.2743989
- Northern Hemisphere Jet Stream Position Indices as Diagnostic Tools for Climate and Ecosystem Dynamics S. Belmecheri et al. https://doi.org/10.1175/EI-D-16-0023.1
- Linking air stagnation in Europe with the synoptic- to large-scale atmospheric circulation J. Maddison et al. https://doi.org/10.5194/wcd-2-675-2021
- jsmetrics v0.2.0: a Python package for metrics and algorithms used to identify or characterise atmospheric jet streams T. Keel et al. https://doi.org/10.5194/gmd-17-1229-2024
- Assessment of trends in an integrated climate metric—analysis of 200 mbar zonal wind for the period 1958–2021 N. Wan et al. https://doi.org/10.1007/s00704-022-04225-y
- The influence of Arctic amplification on mid-latitude summer circulation D. Coumou et al. https://doi.org/10.1038/s41467-018-05256-8
- Contribution of the Precipitation‐Recycling Process to the Wetting Trend in Xinjiang, China J. Zhang et al. https://doi.org/10.1029/2021JD036407
- CPS-RAUnet++: A Jet Axis Detection Method Based on Cross-Pseudo Supervision and Extended Unet++ Model J. Gan et al. https://doi.org/10.3390/electronics14030441
- Comparison of the effect of land-sea thermal contrast on interdecadal variations in winter and summer blockings Y. He et al. https://doi.org/10.1007/s00382-017-3954-9
- Modified Three-Dimensional Jet Indices and Their Application to East Asia H. Li et al. https://doi.org/10.3390/atmos10120776
- The IntCal20 Northern Hemisphere Radiocarbon Age Calibration Curve (0–55 cal kBP) P. Reimer et al. https://doi.org/10.1017/RDC.2020.41
- Exploring the sensitivity of Northern Hemisphere atmospheric circulation to different surface temperature forcing using a statistical–dynamical atmospheric model S. Totz et al. https://doi.org/10.5194/npg-26-1-2019
- Seasonal to decadal variability and persistence properties of the Euro-Atlantic jet streams characterized by complementary approaches H. Banderier et al. https://doi.org/10.5194/wcd-6-715-2025
21 citations as recorded by crossref.
- Atmospheric jet stream variability reflects vegetation activity in Europe G. Messori et al. https://doi.org/10.1016/j.agrformet.2022.109008
- Variability of the low-level circulation of the South American Monsoon analysed with complex networks M. Gelbrecht et al. https://doi.org/10.1140/epjs/s11734-021-00187-w
- Scalable Feature Extraction and Tracking (SCAFET): a general framework for feature extraction from large climate data sets A. Nellikkattil et al. https://doi.org/10.5194/gmd-17-301-2024
- Taking advantage of quasi-periodic signals for S2S operational forecast from a perspective of deep learning Y. Zhou & Q. Zhao https://doi.org/10.1038/s41598-023-31394-1
- An Automatic Jet Stream Axis Identification Method Based on Semi-Supervised Learning J. Gan et al. https://doi.org/10.3390/atmos15091077
- Decrease of the spatial variability and local dimension of the Euro-Atlantic eddy-driven jet stream with global warming R. Noyelle et al. https://doi.org/10.1007/s00382-023-07022-z
- A 45‐year climatology of extratropical cyclone locations relative to upper‐level jet streak determined by an automatic procedure J. Degirmendžić https://doi.org/10.1002/joc.7121
- Changes in mean flow and atmospheric wave activity in the North Atlantic sector H. Paeth & F. Pollinger https://doi.org/10.1002/qj.3660
- Robust Detection and Visualization of Jet-Stream Core Lines in Atmospheric Flow M. Kern et al. https://doi.org/10.1109/TVCG.2017.2743989
- Northern Hemisphere Jet Stream Position Indices as Diagnostic Tools for Climate and Ecosystem Dynamics S. Belmecheri et al. https://doi.org/10.1175/EI-D-16-0023.1
- Linking air stagnation in Europe with the synoptic- to large-scale atmospheric circulation J. Maddison et al. https://doi.org/10.5194/wcd-2-675-2021
- jsmetrics v0.2.0: a Python package for metrics and algorithms used to identify or characterise atmospheric jet streams T. Keel et al. https://doi.org/10.5194/gmd-17-1229-2024
- Assessment of trends in an integrated climate metric—analysis of 200 mbar zonal wind for the period 1958–2021 N. Wan et al. https://doi.org/10.1007/s00704-022-04225-y
- The influence of Arctic amplification on mid-latitude summer circulation D. Coumou et al. https://doi.org/10.1038/s41467-018-05256-8
- Contribution of the Precipitation‐Recycling Process to the Wetting Trend in Xinjiang, China J. Zhang et al. https://doi.org/10.1029/2021JD036407
- CPS-RAUnet++: A Jet Axis Detection Method Based on Cross-Pseudo Supervision and Extended Unet++ Model J. Gan et al. https://doi.org/10.3390/electronics14030441
- Comparison of the effect of land-sea thermal contrast on interdecadal variations in winter and summer blockings Y. He et al. https://doi.org/10.1007/s00382-017-3954-9
- Modified Three-Dimensional Jet Indices and Their Application to East Asia H. Li et al. https://doi.org/10.3390/atmos10120776
- The IntCal20 Northern Hemisphere Radiocarbon Age Calibration Curve (0–55 cal kBP) P. Reimer et al. https://doi.org/10.1017/RDC.2020.41
- Exploring the sensitivity of Northern Hemisphere atmospheric circulation to different surface temperature forcing using a statistical–dynamical atmospheric model S. Totz et al. https://doi.org/10.5194/npg-26-1-2019
- Seasonal to decadal variability and persistence properties of the Euro-Atlantic jet streams characterized by complementary approaches H. Banderier et al. https://doi.org/10.5194/wcd-6-715-2025
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