DOI: 10.1007/s12040-020-1352-x
论文题名: Assessment of spatio-temporal distribution of CO2 over greater Asia using the WRF–CO2 model
作者: Ballav S. ; Naja M. ; Patra P.K. ; Machida T. ; Mukai H.
刊名: Journal of Earth System Science
ISSN: 23474327
出版年: 2020
卷: 129, 期: 1 语种: 英语
英文关键词: Asia
; CO2 seasonal cycle
; CO2 simulation
; WRF–CO2
Scopus关键词: air quality
; assessment method
; carbon budget
; carbon dioxide
; seasonal variation
; spatial distribution
; temporal distribution
; weather forecasting
; Beijing [China]
; China
; India
; Indonesia
; Mount Lulin
; Nainital
; Qinghai
; Shangdianzi
; Taiwan
; Uttarakhand
; Waliguan Mountain
英文摘要: 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 CO2 observations. A regional air quality model (WRF–CO2) is set up for simulating atmospheric CO2 variations over the greater Asia region (68–124°E, 2°S–45°N) for the period 2010–2012. The WRF–CO2 simulations are compared with observations from nine sites and a global Atmospheric Chemistry Transport Model (ACTM). The comparisons suggest WRF–CO2 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 CO2 signals from individual flux components suggests that ocean flux has least contribution to the CO2 variation (<10%). Four sites (Mt. Waliguan, Nainital, Cape Rama and Lulin) show dominance of biospheric flux over fossil flux to the CO2 variation (>80%). CO2 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 CO2 time series shows that correlation coefficient and normalised standard deviation with observations, are generally equal or better for the WRF–CO2 than the coarser resolution ACTM. Study of synoptic scale CO2 variations shows that the WRF–CO2 is able to better resolve daytime signatures than those in the night. Year-to-year CO2 variations of seasonal cycle amplitude is highest (~5 ppm) at Nainital, India compared to all other sites. © 2020, Indian Academy of Sciences. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/158048
Appears in Collections: 气候变化与战略
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作者单位: Aryabhatta Research Institute of Observational Sciences (ARIES), Manora Peak, Nainital, 263 001, India; RIGC-ESS/IACE, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokohama, 2360001, Japan; Center for Global Environmental Research, National Institute for Environmental Studies (NIES), Onogawa, Tsukuba, Ibaraki 3050053, Japan
Recommended Citation:
Ballav S.,Naja M.,Patra P.K.,et al. Assessment of spatio-temporal distribution of CO2 over greater Asia using the WRF–CO2 model[J]. Journal of Earth System Science,2020-01-01,129(1)