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Preprints
https://doi.org/10.5194/essd-2018-92
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2018-92
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  23 Oct 2018

23 Oct 2018

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This preprint was under review for the journal ESSD but the revision was not accepted.

A new global dataset of phase synchronization of temperature and precipitation: its climatology and contribution to global vegetation productivity

Zhigang Sun1,2, Zhu Ouyang1,2, Xubo Zhang1, and Wei Ren3 Zhigang Sun et al.
  • 1Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
  • 2College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China
  • 3College of Agriculture, Food and Environment, University of Kentucky, KY 40546-0091, USA

Abstract. Besides cumulative temperature and precipitation, the phase synchronization of temperature and precipitation also helps to regulate vegetation distribution and productivity across global lands. However, the phase synchronization has been rarely considered in previous studies related to climate and biogeography due to a lack of a robust and quantitative approach. In this study, we proposed a synchronization index of temperature and precipitation (SI-TaP) and then investigated its global spatial distribution, interannual fluctuation, and long-term trend derived from a global 60-year dataset of meteorological forcings. Further investigation was conducted to understand the relationship between SI-TaP and the annually summed Normalized Difference Vegetation Index (NDVI), which could be a proxy of terrestrial vegetation productivity. Results show differences in both spatial patterns and temporal variations between SI-TaP and air temperature and precipitation, but SI-TaP may help to explain the distribution and productivity of terrestrial vegetation. About 60 % of regions where annually summed NDVI is greater than half of its maximum value overlap regions where SI-TaP is greater than half of its maximum value. By using SI-TaP to explain vegetation productivity along with temperature and precipitation, the maximum increase in the coefficient of determination is 0.66 across global lands. Results from this study suggest that the proposed SI-TaP index is helpful to better understand climate change and its relation to the biota.

Dataset available at http://www.dx.doi.org/10.11922/sciencedb.642 or http://www.sciencedb.cn/dataSet/handle/642.

Zhigang Sun et al.

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Zhigang Sun et al.

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A new global dataset of phase synchronization of temperature and precipitation Z. Sun, Z. Ouyang, X. Zhang, and W. Ren https://doi.org/10.11922/sciencedb.642

Zhigang Sun et al.

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Short summary
The phase synchronization of temperature and precipitation helps to regulate vegetation distribution and productivity across global lands. However, it has been rarely considered in previous studies. We proposed a synchronization index of temperature and precipitation (SI-TaP), generated a global 60-year dataset of SI-TaP using meteorological forcings, and then investigated its climatology and contribution to global vegetation productivity.
The phase synchronization of temperature and precipitation helps to regulate vegetation...
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