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      https://www.ias.ac.in/article/fulltext/jess/129/0080

    • Keywords

       

      $\rm{CO}_{2}$ simulation; $\rm{WRF–CO}_{2}$; Asia; $\rm{CO}_{2}$ seasonal cycle

    • Abstract

       

      In-depth knowledge of global and regional carbon budget is required for effective policymaking to mitigate the global climate change. However, Asian carbon budget shows large uncertainty due to both lack of sufficient observations and detailed understanding of the existing $\rm{CO}_{2}$ observations. A regional air quality model ($\rm{WRF–CO}_{2}$) is set up for simulating atmospheric $\rm{CO}_{2}$ variations over the greater Asia region ($68–124^{0}\rm{E}$, $2^{0}\rm{S}–45^{0}\rm{N}$) for the period 2010–2012. The $\rm{WRF–CO}_{2}$ simulations are compared with observations from nine sites and a global Atmospheric Chemistry Transport Model (ACTM). The comparisons suggest $\rm{WRF–CO}_{2}$ simulation is able to capture large scale features in the observed variabilities, with varied ability at fine scales depending on representation of surface fluxes and meteorology around the observation sites. Analysis of $\rm{CO}_{2}$ signals from individual flux components suggests that ocean flux has least contribution to the $\rm{CO}_{2}$ variation (<10%). Four sites (Mt.Waliguan, Nainital, Cape Rama and Lulin) show dominance of biospheric flux over fossil flux to the $\rm{CO}_{2}$ variation (>80%). $\rm{CO}_{2}$ mixing ratios are found to be maximum in northern hemisphere (NH) winter over East Asia, while they are maximum in NH spring over Indian subcontinent. Observed peak-to-trough seasonal amplitude is lowest (4.5 ppm) for the site Bukit Koto Tabang, Indonesia and highest (29.5 ppm) for Shangdianzi in China. Statistical analysis from monthly mean $\rm{CO}_{2}$ time series shows that correlation coefficient and normalised standard deviation with observations, are generally equal or better for the $\rm{WRF–CO}_{2}$ than the coarser resolution ACTM. Study of synoptic scale $\rm{CO}_{2}$ variations shows that the $\rm{WRF–CO}_{2}$ is able to better resolve daytime signatures than those in the night. Year-to-year $\rm{CO}_{2}$ variations of seasonal cycle amplitude is highest ($\sim 5 \rm{ppm}$) at Nainital, India compared to all other sites.

    • Author Affiliations

       

      SRABANTI BALLAV1 MANISH NAJA1 PRABIR K PATRA2 TOSHINOBU MACHIDA3 HITOSHI MUKAI3

      1. Aryabhatta Research Institute of Observational Sciences (ARIES), Manora Peak, Nainital 263 001, India.
      2. RIGC-ESS/IACE, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokohama 2360001, Japan.
      3. Center for Global Environmental Research, National Institute for Environmental Studies (NIES), Onogawa, Tsukuba, Ibaraki 3050053, Japan.
    • Dates

       
  • Journal of Earth System Science | News

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