Publications by authors named "Motoki Sasakawa"

Unlabelled: We developed a near-real-time estimation method for temporal changes in fossil fuel CO (FFCO) emissions from China for 3 months [January, February, March (JFM)] based on atmospheric CO and CH observations on Hateruma Island (HAT, 24.06° N, 123.81° E) and Yonaguni Island (YON, 24.

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The COVID-19 pandemic caused drastic reductions in carbon dioxide (CO) emissions, but due to its large atmospheric reservoir and long lifetime, no detectable signal has been observed in the atmospheric CO growth rate. Using the variabilities in CO (ΔCO) and methane (ΔCH) observed at Hateruma Island, Japan during 1997-2020, we show a traceable CO emission reduction in China during February-March 2020. The monitoring station at Hateruma Island observes the outflow of Chinese emissions during winter and spring.

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Article Synopsis
  • - The amplitude of the atmospheric CO seasonal cycle in the Northern Hemisphere has risen by 30-50% since the 1960s, indicating significant ecological changes in northern regions.
  • - A study using a tagged atmospheric transport model identifies Siberian and temperate ecosystems as key contributors to this increased seasonal CO exchange, with Siberia being the primary driver in high-latitude areas.
  • - The findings highlight regional differences in carbon dynamics and ecological responses to global changes, emphasizing the need for improved models to better understand these variations moving forward.
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The precise contribution of the two major sinks for anthropogenic CO emissions, terrestrial vegetation and the ocean, and their location and year-to-year variability are not well understood. Top-down estimates of the spatiotemporal variations in emissions and uptake of CO are expected to benefit from the increasing measurement density brought by recent in situ and remote CO observations. We uniquely apply a batch Bayesian synthesis inversion at relatively high resolution to in situ surface observations and bias-corrected GOSAT satellite column CO retrievals to deduce the global distributions of natural CO fluxes during 2009-2010.

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