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Wei N, Zhou L, Dai Y, et al. Observational Evidence for Desert Amplification Using Multiple Satellite Datasets. Sci Rep. 2017;7(1):2043doi: 10.1038/s41598-017-02064-w.
Wei, N., Zhou, L., Dai, Y., Xia, G., & Hua, W. (2017). Observational Evidence for Desert Amplification Using Multiple Satellite Datasets. Scientific reports, 7(1), 2043. https://doi.org/10.1038/s41598-017-02064-w
Wei, Nan, et al. "Observational Evidence for Desert Amplification Using Multiple Satellite Datasets." Scientific reports vol. 7,1 (2017): 2043. doi: https://doi.org/10.1038/s41598-017-02064-w
Wei N, Zhou L, Dai Y, Xia G, Hua W. Observational Evidence for Desert Amplification Using Multiple Satellite Datasets. Sci Rep. 2017 May 17;7(1):2043. doi: 10.1038/s41598-017-02064-w. PMID: 28515416; PMCID: PMC5435705.
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Sci Rep. 2017 May 17;7(1):2043. doi: 10.1038/s41598-017-02064-w.

Observational Evidence for Desert Amplification Using Multiple Satellite Datasets.

Scientific reports

Nan Wei, Liming Zhou, Yongjiu Dai, Geng Xia, Wenjian Hua

Affiliations

  1. School of Atmospheric Sciences, Sun Yat-Sen University, Guangzhou, 519082, China.
  2. Department of Atmospheric and Environmental Sciences, University at Albany, State University of New York, Albany, NY, 12222, USA.
  3. Department of Atmospheric and Environmental Sciences, University at Albany, State University of New York, Albany, NY, 12222, USA. [email protected].
  4. Key Laboratory of Meteorological Disaster, Ministry of Education (KLME)/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing, 210044, China.

PMID: 28515416 PMCID: PMC5435705 DOI: 10.1038/s41598-017-02064-w

Abstract

Desert amplification identified in recent studies has large uncertainties due to data paucity over remote deserts. Here we present observational evidence using multiple satellite-derived datasets that desert amplification is a real large-scale pattern of warming mode in near surface and low-tropospheric temperatures. Trend analyses of three long-term temperature products consistently confirm that near-surface warming is generally strongest over the driest climate regions and this spatial pattern of warming maximizes near the surface, gradually decays with height, and disappears in the upper troposphere. Short-term anomaly analyses show a strong spatial and temporal coupling of changes in temperatures, water vapor and downward longwave radiation (DLR), indicating that the large increase in DLR drives primarily near surface warming and is tightly associated with increasing water vapor over deserts. Atmospheric soundings of temperature and water vapor anomalies support the results of the long-term temperature trend analysis and suggest that desert amplification is due to comparable warming and moistening effects of the troposphere. Likely, desert amplification results from the strongest water vapor feedbacks near the surface over the driest deserts, where the air is very sensitive to changes in water vapor and thus efficient in enhancing the longwave greenhouse effect in a warming climate.

References

  1. Science. 2005 Sep 2;309(5740):1551-6 - PubMed
  2. Nature. 2004 May 6;429(6987):55-8 - PubMed
  3. Proc Natl Acad Sci U S A. 2007 Nov 13;104(46):17937-42 - PubMed
  4. Science. 2004 Aug 20;305(5687):1138-40 - PubMed
  5. Sci Rep. 2016 Aug 19;6:31065 - PubMed
  6. Science. 2005 Sep 2;309(5740):1548-51 - PubMed

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