Yoichi P. Shiga
Organization:
Stanford University
Email:
First Author Publications:
- Shiga, Y. P., et al. (2018), Forests dominate the interannual variability of the North American carbon sink, Environmental Research Letters, 13, doi:10.1088/1748-9326/aad505.
- Shiga, Y. P., et al. (2018), Atmospheric CO2 observations reveal strong correlation between regional net biospheric carbon uptake and solar-induced chlorophyll fluorescence, Geophys. Res. Lett., 45, doi:10.1002/2017GL076630.
- Shiga, Y. P., et al. (2014), Detecting fossil fuel emissions patterns from subcontinental regions using North American in situ CO2 measurements, Geophys. Res. Lett., 41, 4381-4388, doi:10.1002/2014GL059684.
- Shiga, Y. P., et al. (2013), In-situ CO2 monitoring network evaluation and design: A criterion based on atmospheric CO2 variability, J. Geophys. Res., 118, 2007-2018, doi:10.1002/jgrd.50168.
Co-Authored Publications:
- Sun, W., et al. (2021), Midwest US croplands determine model divergence in North American carbon fluxes, AGU Advances, 2, doi:10.1029/2020AV000310.
- Whelan, M., et al. (2020), Two scientific communities striving for a common cause: innovations in carbon cycle science, Bull. Am. Meteorol. Soc., doi:10.1175/BAMS-D-19-0306.1.
- Hu, L., et al. (2019), Enhanced North American carbon uptake associated with El Nino, Science Advances, 5, doi:10.1126/sciadv.aaw0076.
- Yadav, V., et al. (2016), A statistical approach for isolating fossil fuel emissions in atmospheric inverse problems, J. Geophys. Res., 121, 12,490-12,504, doi:10.1002/2016JD025642.
- Fang, Y., et al. (2014), Using atmospheric observations to evaluate the spatiotemporal variability of CO2 fluxes simulated by terrestrial biospheric models, Biogeosciences, 11, 6985-6997, doi:10.5194/bg-11-6985-2014.