Members’ Publications

Japanese

More information including papers in Japanese is available here.

2019

Event-to-event intensification of the hydrologic cycle from 1.5°C to a 2°C warmer world
Madakumbura G. D., Kim H., Utsumi N., Shiogama H., Fischer E. M., Seland Ø., Scinocca J. F., Mitchell D. M., Hirabayashi Y., Oki T. (2019) Event-to-event intensification of the hydrologic cycle from 1.5°C to a 2°C warmer world. Scientific Reports, 9: 3483, doi:10.1038/s41598-019-39936-2.
Regional CO emission estimated from ground-based remote sensing at Hefei site, China
Shan C., Wang W., Liu C., Sun Y., Hu Q., Xu X., Tian Y., Zhang H., Morino I., Griffith D. W. T., Velazco V. A. (2019) Regional CO emission estimated from ground-based remote sensing at Hefei site, China. Atmospheric Research, 222, 25-35, doi.org/10.1016/j.atmosres.2019.02.005.
Evaluation of Bias Correction Methods for GOSAT SWIR XH2O Using TCCON data
Tran, T. N. T., Morino I., Ohyama H., Uchino O., Sussmann R., Warneke T., Petri C., Kivi R., Hase F., Pollard D. F., Deutscher N. M., Velazco V. A., Iraci L. T., Podolske J. R., Dubey M. K. (2019) Evaluation of Bias Correction Methods for GOSAT SWIR XH2O Using TCCON data. Remote Sens., 11(3), 290, doi.org/10.3390/rs11030290.
A high-level cloud detection method utilizing the GOSAT TANSO-FTS water vapor saturated band
Eguchi N., Yoshida Y. (2019) A high-level cloud detection method utilizing the GOSAT TANSO-FTS water vapor saturated band. Atmos. Meas. Tech., 12, 389–403, doi.org/10.5194/amt-12-389-2019.
Global soil nitrous oxide emissions since the pre-industrial era estimated by an ensemble of terrestrial biosphere models: Magnitude, attribution and uncertainty
Tian H., Yang J., Xu R., Lu C., Canadell J. G., Davidson E. A., Jackson R. B., Arneth A., Chang J., Ciais P., Gerber S., Ito A., Joos F., Lienert S., Messina P., Olin S., Pan S., Peng C., Saikawa E., Thompson R. L., Vuichard N., Winiwarter W., Zaehle S., Zhang B. (2019) Global soil nitrous oxide emissions since the pre-industrial era estimated by an ensemble of terrestrial biosphere models: Magnitude, attribution and uncertainty. Global Change Biol., 25, 640–659, doi:10.1111/gcb.14514.
Global atmospheric CO2 inverse models converging on neutral tropical land exchange, but disagreeing on fossil fuel and atmospheric growth rate
Gaubert B., Stephens B. B., Basu S., Chevallier F., Deng F., Kort E. A., Patra P. K., Peters W., Rödenbeck C., Saeki T., Schimel D., Van der Laan-Luijkx I., Wofsy S., Yin Y. (2019) Global atmospheric CO2 inverse models converging on neutral tropical land exchange, but disagreeing on fossil fuel and atmospheric growth rate. Biogeosciences, 16, 117–134, doi.org/10.5194/bg-16-117-2019.