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Reply to 'Spatiotemporal patterns of warming'

Nature Climate Change volume 4, pages 846–848 (2014)Cite this article

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Wu et al. reply —

Macias-Fauria et al.1 highlight deficiencies in the high-resolution gridded climate database2,3 prepared by the Climate Research Unit (CRU). In our analysis4, yearly averaged land surface air temperature (SAT) at each grid from this database was decomposed using the multidimensional ensemble empirical mode decomposition5,6,7,8 (MEEMD) and these nonlinear secular trends from all grids were then pieced together into the spatiotemporal evolution of land SAT trends. Land SAT was independently decomposed grid by grid. The spatial and temporal biases of land SAT in the equatorial and Arctic coastal regions therefore do not impact the results derived for other regions.

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Figure 1: Temporal evolution of the zonally averaged trend of surface air temperature and of zonally averaged spatial coverage of data.

References

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Author information

Authors and Affiliations

  1. Department of Earth, Ocean and Atmospheric Science, Florida State University, Tallahassee, 32306-4520, Florida, USA

    Zhaohua Wu & Eric P. Chassignet

  2. Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, 32306-2741, Florida, USA

    Zhaohua Wu, Eric P. Chassignet & Fei Ji

  3. College of Atmospheric Sciences, Lanzhou University, Lanzhou, 730000, China

    Fei Ji & Jianping Huang

  4. Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou, 730000, China

    Fei Ji & Jianping Huang

Authors
  1. Zhaohua Wu
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  2. Eric P. Chassignet
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  3. Fei Ji
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  4. Jianping Huang
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Corresponding author

Correspondence to Zhaohua Wu.

Supplementary information

Supplementary Figure SR1

Standard deviation of yearly mean land surface air temperature. (PDF 450 kb)

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Wu, Z., Chassignet, E., Ji, F. et al. Reply to 'Spatiotemporal patterns of warming'. Nature Clim Change 4, 846–848 (2014). https://doi.org/10.1038/nclimate2374

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