Summer atmospheric heat sources over the western-central Tibetan Plateau: An integrated analysis of multiple reanalysis and satellite datasets

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Abstract

Multiple bias-corrected top-quality reanalysis datasets, gauge-based observations, and selected satellite products are synthetically employed to revisit the climatology and variability of the summer atmospheric heat sources over the Tibetan Plateau (TP). Verification-based selection and ensemble-mean methods are utilized to combine various datasets. Different from previous works, this study pays special attention to estimating the total heat source (TH) and its components over the data-void western plateau (70°-85°E), including the surface sensible heat (SH), latent heat released by precipitation (LH), and net radiation flux (RD). Consistent with previous studies, the climatology of summer SH (LH) typically increases (decreases) from southeast to northwest. Generally, LH dominates TH over most of the TP. A notable new finding is a minimum TH area over the high-altitude region of the northwestern TP, where the Karakoram mountain range is located. We find that during the period of 1984-2006, TH shows insignificant trends over the eastern and central TP, whereas it exhibits an evident increasing trend over the western TP that is attributed to the rising tendency of LH before 1996 and to that of RD after 1996. The year-to-year variation of TH over the central-eastern TP is highly correlated with that of LH, but that is not the case over the western TP. It is also worth noting that the variations of TH in each summer month are not significantly correlated with each other, and hence study of the interannual variation of the TP heat sources should consider the remarkable subseasonal variations.

Original languageEnglish
Pages (from-to)1181-1202
Number of pages22
JournalJournal of Climate
Volume32
Issue number4
DOIs
StatePublished - Feb 1 2019

Funding

We thank Prof. Kun Yang for providing the Yang11 data, and thank the NOAA/OAR/ESRL PSD, Boulder, Colorado, USA, for providing the related data. All datasets used herein are listed in the references. This work is jointly supported by the NSF/Climate Dynamics Award AGS-1540783, and the National Natural Science Foundation of China (Grant 41420104002). This is publication 10570 of the SOEST, publication 1354 of the IPRC and publication 244 of the Earth System Modeling Center (ESMC). Acknowledgments. We thank Prof. Kun Yang for providing the Yang11 data, and thank the NOAA/OAR/ ESRL PSD, Boulder, Colorado, USA, for providing the related data. All datasets used herein are listed in the references. This work is jointly supported by the NSF/Climate Dynamics Award AGS-1540783, and the National Natural Science Foundation of China (Grant 41420104002). This is publication 10570 of the SOEST, publication 1354 of the IPRC and publication 244 of the Earth System Modeling Center (ESMC).

Keywords

  • Climatology
  • Heat budgets/fluxes
  • Interannual variability
  • Reanalysis data
  • Satellite observations
  • Trends

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