Publications

  • [DOI] Martineau, Patrick, Jonathon S. Wright, Nuanliang Zhu, and Masatomo Fujiwara. 2018. Zonal-mean data set of global atmospheric reanalyses on pressure levels. Earth system science data 10 (4):1925-1941.
    [Bibtex]
    @article{Martineau2018c,
    abstract = {Abstract. This data set, which is prepared for the Stratosphere–troposphere Processes And their Role in Climate (SPARC) Reanalysis Intercomparison Project (S-RIP), provides several zonal-mean diagnostics computed from reanalysis data on pressure levels. Diagnostics are currently provided for a variety of reanalyses, including ERA-40, ERA-Interim, ERA-20C, NCEP–NCAR, NCEP–DOE, CFSR, 20CR v2 and v2c, JRA-25, JRA-55, JRA-55C, JRA-55AMIP, MERRA, and MERRA-2. The data set will be expanded to include additional reanalyses as they become available. Basic dynamical variables (such as temperature, geopotential height, and three-dimensional winds) are provided in addition to a complete set of terms from the Eulerian-mean and transformed-Eulerian-mean momentum equations. Total diabatic heating and its long-wave and shortwave components are included as availability permits, along with heating rates diagnosed from the basic dynamical variables using the zonal-mean thermodynamic equation. Two versions of the data set are provided, one that uses horizontal and vertical grids provided by the various reanalysis centers and another that uses a common grid (CG) to facilitate comparison among data sets. For the common grid, all diagnostics are interpolated horizontally onto a regular 2.5° × 2.5° grid for a subset of pressure levels that are common among all included reanalyses. The dynamical (Martineau, 2017, 10.5285/b241a7f536a244749662360bd7839312) and diabatic (Wright, 2017, 10.5285/70146c789eda4296a3c3ab6706931d56) variables are archived and maintained by the Centre for Environmental Data Analysis (CEDA).},
    author = {Martineau, Patrick and Wright, Jonathon S. and Zhu, Nuanliang and Fujiwara, Masatomo},
    doi = {10.5194/essd-10-1925-2018},
    file = {:C$\backslash$:/Users/patri/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Martineau et al. - 2018 - Zonal-mean data set of global atmospheric reanalyses on pressure levels.pdf:pdf},
    issn = {1866-3516},
    journal = {Earth System Science Data},
    month = {oct},
    number = {4},
    pages = {1925--1941},
    title = {{Zonal-mean data set of global atmospheric reanalyses on pressure levels}},
    url = {https://www.earth-syst-sci-data-discuss.net/essd-2018-71/ https://www.earth-syst-sci-data.net/10/1925/2018/},
    volume = {10},
    year = {2018}
    }
  • [DOI] Gerber, Edwin P. and Patrick Martineau. 2018. Quantifying the variability of the annular modes: Reanalysis uncertainty vs. sampling uncertainty. Atmospheric chemistry and physics discussions 1-28.
    [Bibtex]
    @article{Gerber2018,
    abstract = {Abstract. The annular modes characterize the dominant variability of the extratropical circulation in each hemisphere, quantifying vacillations in the position of the tropospheric jet streams and the strength of the stratospheric polar vortices. Their representation in all available reanalysis products is assessed. Reanalysis uncertainty associated with limitations in the ability to constrain the circulation with available observations, i.e., the inter-reanalysis spread, is contrasted with sampling uncertainty associated with the finite length of the reanalysis records. It is shown that the annular modes are extremely consistent across all modern reanalyses during the satellite era (1979 onward). Consequently, uncertainty in annular mode variability, e.g., the coupling between the stratosphere and troposphere and the variation in the amplitude and time scale of jet variations throughout the annual cycle, is dominated by sampling uncertainty. Comparison of reanalyses based on conventional or surface observations alone with those using all available observations indicates that there is limited ability to characterize the Southern Annular Mode in the pre-satellite era. For the Northern Annular Mode, however, there is evidence that conventional observations are sufficient, at least from 1958 onward. The addition of two additional decades of records substantially reduces sampling uncertainty in several key measures of annular mode variability, demonstrating the value of more historic reanalyses. Implications for the assessment of atmospheric models and the strength of coupling between the surface and upper atmosphere are discussed.},
    author = {Gerber, Edwin P. and Martineau, Patrick},
    doi = {10.5194/acp-2018-585},
    issn = {1680-7375},
    journal = {Atmospheric Chemistry and Physics Discussions},
    month = {jun},
    pages = {1--28},
    title = {{Quantifying the variability of the annular modes: Reanalysis uncertainty vs. sampling uncertainty}},
    url = {https://www.atmos-chem-phys-discuss.net/acp-2018-585/},
    year = {2018}
    }
  • [DOI] Martineau, Patrick, Seok-Woo Son, Masakazu Taguchi, and Amy H. Butler. 2018. A comparison of the momentum budget in reanalysis datasets during sudden stratospheric warming events. Atmospheric chemistry and physics 18 (10):7169-7187.
    [Bibtex]
    @article{Martineau2018b,
    abstract = {The agreement between reanalysis datasets, in terms of the zonal-mean momentum budget, is evaluated during sudden stratospheric warming (SSW) events. It is revealed that there is a good agreement among datasets in the lower stratosphere and troposphere concerning zonal-mean zonal wind, but less so in the upper stratosphere. Forcing terms of the momentum equation are also relatively similar in the lower atmosphere, but their uncertainties are typically larger than uncertainties of the zonal-wind tendency. Similar to zonal-wind tendency, the agreement among forcing terms is degraded in the upper stratosphere. Discrepancies among reanalyses increase during the onset of SSW events, a period characterized by unusually large fluxes of planetary-scale waves from the troposphere to the stratosphere, and decrease substantially after the onset. While the largest uncertainties in the resolved terms of the momentum budget are found in the Coriolis torque, momentum flux convergence also presents a non-negligible spread among the reanalyses. Such a spread is reduced in the latest reanalysis products, decreasing the uncertainty of the momentum budget. It is also found that the uncertainties in the Coriolis torque depend on the strength of SSW events: the SSW events that exhibit the most intense deceleration of zonal-mean zonal wind are subject to larger discrepancies among reanalyses. These uncertainties in stratospheric circulation, however, are not communicated to the troposphere.},
    author = {Martineau, Patrick and Son, Seok-Woo and Taguchi, Masakazu and Butler, Amy H.},
    doi = {10.5194/acp-18-7169-2018},
    file = {:C$\backslash$:/Users/patri/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Martineau et al. - 2018 - A comparison of the momentum budget in reanalysis datasets during sudden stratospheric warming events.pdf:pdf},
    issn = {1680-7324},
    journal = {Atmospheric Chemistry and Physics},
    month = {may},
    number = {10},
    pages = {7169--7187},
    title = {{A comparison of the momentum budget in reanalysis datasets during sudden stratospheric warming events}},
    url = {https://www.atmos-chem-phys.net/18/7169/2018/},
    volume = {18},
    year = {2018}
    }
  • [DOI] Martineau, Patrick, Gang Chen, Seok-Woo Son, and Joowan Kim. 2018. Lower-Stratospheric Control of the Frequency of Sudden Stratospheric Warming Events. Journal of geophysical research: atmospheres 123 (6):3051-3070.
    [Bibtex]
    @article{Martineau2018a,
    author = {Martineau, Patrick and Chen, Gang and Son, Seok-Woo and Kim, Joowan},
    doi = {10.1002/2017JD027648},
    file = {:C$\backslash$:/Users/patri/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Martineau et al. - 2018 - Lower-Stratospheric Control of the Frequency of Sudden Stratospheric Warming Events.pdf:pdf},
    issn = {2169897X},
    journal = {Journal of Geophysical Research: Atmospheres},
    month = {mar},
    number = {6},
    pages = {3051--3070},
    title = {{Lower-Stratospheric Control of the Frequency of Sudden Stratospheric Warming Events}},
    volume = {123},
    year = {2018}
    }
  • [DOI] Martineau, Patrick, Gang Chen, and Alex D. Burrows. 2017. Wave Events: Climatology, Trends, and Relationship to Northern Hemisphere Winter Blocking and Weather Extremes. Journal of climate 30 (15):5675-5697.
    [Bibtex]
    @article{Martineau2017,
    author = {Martineau, Patrick and Chen, Gang and Burrows, Alex D.},
    doi = {10.1175/JCLI-D-16-0692.1},
    file = {:C$\backslash$:/Users/patri/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Martineau, Chen, Burrows - 2017 - Wave Events Climatology, Trends, and Relationship to Northern Hemisphere Winter Blocking and Weather E.pdf:pdf},
    issn = {0894-8755},
    journal = {Journal of Climate},
    month = {aug},
    number = {15},
    pages = {5675--5697},
    title = {{Wave Events: Climatology, Trends, and Relationship to Northern Hemisphere Winter Blocking and Weather Extremes}},
    url = {http://journals.ametsoc.org/doi/10.1175/JCLI-D-16-0692.1},
    volume = {30},
    year = {2017}
    }
  • [DOI] Fujiwara, Masatomo, Jonathon S. Wright, Gloria L. Manney, Lesley J. Gray, James Anstey, Thomas Birner, Sean Davis, Edwin P. Gerber, Lynn V. Harvey, Michaela I. Hegglin, Cameron R. Homeyer, John A. Knox, Kirstin Krüger, Alyn Lambert, Craig S. Long, Patrick Martineau, Andrea Molod, Beatriz M. Monge-Sanz, Michelle L. Santee, Susann Tegtmeier, Simon Chabrillat, David G. H. Tan, David R. Jackson, Saroja Polavarapu, Gilbert P. Compo, Rossana Dragani, Wesley Ebisuzaki, Yayoi Harada, Chiaki Kobayashi, Will McCarty, Kazutoshi Onogi, Steven Pawson, Adrian Simmons, Krzysztof Wargan, Jeffrey S. Whitaker, and Cheng-Zhi Zou. 2017. Introduction to the SPARC Reanalysis Intercomparison Project (S-RIP) and overview of the reanalysis systems. Atmospheric chemistry and physics 17 (2):1417-1452.
    [Bibtex]
    @article{Fujiwara2017,
    abstract = {The climate research community uses atmospheric reanalysis data sets to understand a wide range of processes and variability in the atmosphere, yet different reanalyses may give very different results for the same diagnostics. The Stratosphere{\&}ndash;troposphere Processes And their Role in Climate (SPARC) Reanalysis Intercomparison Project (S-RIP) is a coordinated activity to compare reanalysis data sets using a variety of key diagnostics. The objectives of this project are to identify differences among reanalyses and understand their underlying causes, to provide guidance on appropriate usage of various reanalysis products in scientific studies, particularly those of relevance to SPARC, and to contribute to future improvements in the reanalysis products by establishing collaborative links between reanalysis centres and data users. The project focuses predominantly on differences among reanalyses, although studies that include operational analyses and studies comparing reanalyses with observations are also included when appropriate. The emphasis is on diagnostics of the upper troposphere, stratosphere, and lower mesosphere. This paper summarizes the motivation and goals of the S-RIP activity and extensively reviews key technical aspects of the reanalysis data sets that are the focus of this activity. The special issue The SPARC Reanalysis Intercomparison Project (S-RIP) in this journal serves to collect research with relevance to the S-RIP in preparation for the publication of the planned two (interim and full) S-RIP reports.},
    author = {Fujiwara, Masatomo and Wright, Jonathon S. and Manney, Gloria L. and Gray, Lesley J. and Anstey, James and Birner, Thomas and Davis, Sean and Gerber, Edwin P. and Harvey, V. Lynn and Hegglin, Michaela I. and Homeyer, Cameron R. and Knox, John A. and Kr{\"{u}}ger, Kirstin and Lambert, Alyn and Long, Craig S. and Martineau, Patrick and Molod, Andrea and Monge-Sanz, Beatriz M. and Santee, Michelle L. and Tegtmeier, Susann and Chabrillat, Simon and Tan, David G. H. and Jackson, David R. and Polavarapu, Saroja and Compo, Gilbert P. and Dragani, Rossana and Ebisuzaki, Wesley and Harada, Yayoi and Kobayashi, Chiaki and McCarty, Will and Onogi, Kazutoshi and Pawson, Steven and Simmons, Adrian and Wargan, Krzysztof and Whitaker, Jeffrey S. and Zou, Cheng-Zhi},
    doi = {10.5194/acp-17-1417-2017},
    file = {:C$\backslash$:/Users/patri/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Fujiwara et al. - 2017 - Introduction to the SPARC Reanalysis Intercomparison Project (S-RIP) and overview of the reanalysis systems.pdf:pdf},
    issn = {1680-7324},
    journal = {Atmospheric Chemistry and Physics},
    month = {jan},
    number = {2},
    pages = {1417--1452},
    title = {{Introduction to the SPARC Reanalysis Intercomparison Project (S-RIP) and overview of the reanalysis systems}},
    volume = {17},
    year = {2017}
    }
  • [DOI] Martineau, Patrick, Seok-Woo Son, and Masakazu Taguchi. 2016. Dynamical Consistency of Reanalysis Datasets in the Extratropical Stratosphere. Journal of climate 29 (8):3057-3074.
    [Bibtex]
    @article{Martineau2016,
    author = {Martineau, Patrick and Son, Seok-Woo and Taguchi, Masakazu},
    doi = {10.1175/JCLI-D-15-0469.1},
    file = {:C$\backslash$:/Users/patri/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Martineau, Son, Taguchi - 2016 - Dynamical Consistency of Reanalysis Datasets in the Extratropical Stratosphere.pdf:pdf},
    issn = {0894-8755},
    journal = {Journal of Climate},
    month = {apr},
    number = {8},
    pages = {3057--3074},
    title = {{Dynamical Consistency of Reanalysis Datasets in the Extratropical Stratosphere}},
    volume = {29},
    year = {2016}
    }
  • [DOI] Martineau, Patrick and Seok-Woo Son. 2015. Onset of Circulation Anomalies during Stratospheric Vortex Weakening Events: The Role of Planetary-Scale Waves. Journal of climate 28 (18):7347-7370.
    [Bibtex]
    @article{Martineau2015a,
    author = {Martineau, Patrick and Son, Seok-Woo},
    doi = {10.1175/JCLI-D-14-00478.1},
    file = {:C$\backslash$:/Users/patri/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Martineau, Son - 2015 - Onset of Circulation Anomalies during Stratospheric Vortex Weakening Events The Role of Planetary-Scale Waves.pdf:pdf},
    issn = {0894-8755},
    journal = {Journal of Climate},
    month = {sep},
    number = {18},
    pages = {7347--7370},
    title = {{Onset of Circulation Anomalies during Stratospheric Vortex Weakening Events: The Role of Planetary-Scale Waves}},
    volume = {28},
    year = {2015}
    }
  • [DOI] Martineau, Patrick and Seok-Woo Son. 2013. Planetary-scale wave activity as a source of varying tropospheric response to stratospheric sudden warming events: A case study. Journal of geophysical research: atmospheres 118 (19):1-13.
    [Bibtex]
    @article{Martineau2013,
    author = {Martineau, Patrick and Son, Seok-Woo},
    doi = {10.1002/jgrd.50871},
    file = {:C$\backslash$:/Users/patri/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Martineau, Son - 2013 - Planetary-scale wave activity as a source of varying tropospheric response to stratospheric sudden warming event.pdf:pdf},
    issn = {2169897X},
    journal = {Journal of Geophysical Research: Atmospheres},
    month = {oct},
    number = {19},
    pages = {1--13},
    title = {{Planetary-scale wave activity as a source of varying tropospheric response to stratospheric sudden warming events: A case study}},
    volume = {118},
    year = {2013}
    }
  • [DOI] Martineau, Patrick and Seok-Woo Son. 2010. Quality of reanalysis data during stratospheric vortex weakening and intensification events. Geophys. res. lett. 37 (L22801):.
    [Bibtex]
    @article{Martineau2010,
    author = {Martineau, Patrick and Son, Seok-Woo},
    doi = {10.1029/2010GL045237},
    file = {:C$\backslash$:/Users/patri/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Martineau, Son - 2010 - Quality of reanalysis data during stratospheric vortex weakening and intensification events.pdf:pdf},
    journal = {Geophys. Res. Lett.},
    number = {L22801},
    title = {{Quality of reanalysis data during stratospheric vortex weakening and intensification events}},
    volume = {37},
    year = {2010}
    }