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Korean Meteorological Society (한국기상학회)
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Response of Terrestrial Carbon Cycle: Climate Variability in CarbonTracker and CMIP5 Earth System Models

기후 인자와 관련된 육상 탄소 순환 변동: 탄소추적시스템과 CMIP5 모델 결과 비교

  • Sun, Minah (Climate Research Division, National Institute of Meteorological Sciences) ;
  • Kim, Youngmi (Climate Research Division, National Institute of Meteorological Sciences) ;
  • Lee, Johan (Climate Research Division, National Institute of Meteorological Sciences) ;
  • Boo, Kyoung-On (Climate Research Division, National Institute of Meteorological Sciences) ;
  • Byun, Young-Hwa (Climate Research Division, National Institute of Meteorological Sciences) ;
  • Cho, Chun-Ho (Climate Research Division, National Institute of Meteorological Sciences)
  • 선민아 (국립기상과학원 기후연구과) ;
  • 김영미 (국립기상과학원 기후연구과) ;
  • 이조한 (국립기상과학원 기후연구과) ;
  • 부경온 (국립기상과학원 기후연구과) ;
  • 변영화 (국립기상과학원 기후연구과) ;
  • 조천호 (국립기상과학원 기후연구과)
  • Received : 2017.05.19
  • Accepted : 2017.07.31
  • Published : 2017.09.30
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Abstract

This study analyzes the spatio-temporal variability of terrestrial carbon flux and the response of land carbon sink with climate factors to improve of understanding of the variability of land-atmosphere carbon exchanges accurately. The coupled carbon-climate models of CMIP5 (the fifth phase of the Coupled Model Intercomparison Project) and CT (CarbonTracker) are used. The CMIP5 multi-model ensemble mean overestimated the NEP (Net Ecosystem Production) compares to CT and GCP (Global Carbon Project) estimates over the period 2001~2012. Variation of NEP in the CMIP5 ensemble mean is similar to CT, but a couple of models which have fire module without nitrogen cycle module strongly simulate carbon sink in the Africa, Southeast Asia, South America, and some areas of the United States. Result in comparison with climate factor, the NEP is highly affected by temperature and solar radiation in both of CT and CMIP5. Partial correlation between temperature and NEP indicates that the temperature is affecting NEP positively at higher than mid-latitudes in the Northern Hemisphere, but opposite correlation represents at other latitudes in CT and most CMIP5 models. The CMIP5 models except for few models show positive correlation with precipitation at $30^{\circ}N{\sim}90^{\circ}N$, but higher percentage of negative correlation represented at $60^{\circ}S{\sim}30^{\circ}N$ compare to CT. For each season, the correlation between temperature (solar radiation) and NEP in the CMIP5 ensemble mean is similar to that of CT, but overestimated.

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References

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