• Ciais, P. et al. Five decades of northern land carbon uptake revealed by the interhemispheric CO2 gradient. Nature 568, 221–225 (2019).

    Article 
    CAS 

    Google Scholar
     

  • Takahashi, T. et al. Climatological mean and decadal change in surface ocean pCO2, and net sea–air CO2 flux over the global oceans. Deep Sea Res. Part II 56, 554–577 (2009).

    Article 
    CAS 

    Google Scholar
     

  • Landschützer, P., Gruber, N., Bakker, D. C. E. & Schuster, U. Recent variability of the global ocean carbon sink. Glob. Biogeochem. Cycles 28, 927–949 (2014).

    Article 

    Google Scholar
     

  • Landschützer, P., Gruber, N. & Bakker, D. C. E. Decadal variations and trends of the global ocean carbon sink. Glob. Biogeochem. Cycles 30, 1396–1417 (2016).

    Article 

    Google Scholar
     

  • Gruber, N. et al. The oceanic sink for anthropogenic CO2 from 1994 to 2007. Science 363, 1193–1199 (2019).

    Article 
    CAS 

    Google Scholar
     

  • Gruber, N. et al. Trends and variability in the ocean carbon sink. Nat. Rev. Earth Environ. 4, 119–134 (2023).

    Article 
    CAS 

    Google Scholar
     

  • Crisp, D. et al. How well do we understand the land–ocean–atmosphere carbon cycle? Rev. Geophys. https://doi.org/10.1029/2021rg000736 (2022).

  • Friedlingstein, P. et al. Global carbon budget 2024. Earth Syst. Sci. Data 17, 965–1039 (2025).

    Article 

    Google Scholar
     

  • Li, Z., Adamec, D., Takahashi, T. & Sutherland, S. C. Global autocorrelation scales of the partial pressure of oceanic CO2. J. Geophys. Res. Oceans https://doi.org/10.1029/2004GC002723 (2005).

  • Ito, T. & Follows, M. J. Upper ocean control on the solubility pump of CO2. J. Mar. Res. 61, 465–489 (2003).

    Article 

    Google Scholar
     

  • Chisholm, S. W. Stirring times in the Southern Ocean. Nature 407, 685–686 (2000).

    Article 
    CAS 

    Google Scholar
     

  • Iudicone, D. et al. Water masses as a unifying framework for understanding the Southern Ocean carbon cycle. Biogeosciences 8, 1031–1052 (2011).

    Article 
    CAS 

    Google Scholar
     

  • Meijers, A. J. S. The Southern Ocean in the Coupled Model Intercomparison Project phase 5. Philos. Trans. R. Soc. A https://doi.org/10.1098/rsta.2013.0296 (2014).

  • Sabine, C. L. & Tanhua, T. Estimation of anthropogenic CO2 inventories in the ocean. Annu. Rev. Mar. Sci. 2, 175–198 (2010).

    Article 

    Google Scholar
     

  • Bates, N. R., Knap, A. H. & Michaels, A. F. Contribution of hurricanes to local and global estimates of air–sea exchange of CO2. Nature 395, 58–61 (1998).

    Article 
    CAS 

    Google Scholar
     

  • Bates, N. R. Interannual variability of the oceanic CO2 sink in the subtropical gyre of the North Atlantic Ocean over the last 2 decades. J. Geophys. Res. https://doi.org/10.1029/2006jc003759 (2007).

  • Lévy, M. et al. Contribution of tropical cyclones to the air-sea CO2 flux: a global view. Glob. Biogeochem. Cycles https://doi.org/10.1029/2011gb004145 (2012).

  • Nickford, S., Palter, J. B. & Mu, L. The importance of contemporaneous wind and pCO2 measurements for regional air-sea CO2 flux estimates. J. Geophys. Res. Oceans 129, e2023JC020744 (2024).

    Article 
    CAS 

    Google Scholar
     

  • Wanninkhof, R. et al. Global ocean carbon uptake: magnitude, variability and trends. Biogeosciences 10, 1983–2000 (2013).

    Article 
    CAS 

    Google Scholar
     

  • Emanuel, K. 100 years of progress in tropical cyclone research. Meteorolog. Monogr. 59, 15.11–15.68 (2018).


    Google Scholar
     

  • Trenberth, K. E. & Fasullo, J. Water and energy budgets of hurricanes and implications for climate change. J. Geophys. Res. https://doi.org/10.1029/2006jd008304 (2007).

  • Price, J. F. Upper ocean response to a hurricane. J. Phys. Oceanogr. 11, 153–175 (1981).

    Article 

    Google Scholar
     

  • Price, J. F., Weller, R. A. & Pinkel, R. Diurnal cycling: observations and models of the upper ocean response to diurnal heating, cooling, and wind mixing. J. Geophys. Res. Oceans 91, 8411–8427 (1986).

    Article 

    Google Scholar
     

  • D’Asaro, E. A. et al. Impact of typhoons on the ocean in the Pacific. Bull. Am. Meteorol. Soc. 95, 1405–1418 (2014).

    Article 

    Google Scholar
     

  • Zhang, H., He, H., Zhang, W.-Z. & Tian, D. Upper ocean response to tropical cyclones: a review. Geosci. Lett. https://doi.org/10.1186/s40562-020-00170-8 (2021).

  • Son, J.-H., Heo, K.-Y., Choi, J.-W. & Kwon, J.-i. Long-lasting upper ocean temperature responses induced by intense typhoons in mid-latitude. Sci. Rep. https://doi.org/10.1038/s41598-022-09833-2 (2022).

  • Zhang, H. et al. Net modulation of upper ocean thermal structure by Typhoon Kalmaegi (2014). J. Geophys. Res. Oceans 123, 7154–7171 (2018).

    Article 

    Google Scholar
     

  • Huang, P. & Imberger, J. Variation of pCO2 in ocean surface water in response to the passage of a hurricane. J. Geophys. Res. Oceans 115, https://doi.org/10.1029/2010jc006185 (2010).

  • Wada, A., Cronin, M. F., Sutton, A. J., Kawai, Y. & Ishii, M. Numerical simulations of oceanic pCO2 variations and interactions between Typhoon Choi-wan (0914) and the ocean. J. Geophys. Res. Oceans 118, 2667–2684 (2013).

    Article 
    CAS 

    Google Scholar
     

  • Chowdhury, R. R., Kumar, S. P., Narvekar, J. & Chakraborty, A. Back-to-back occurrence of tropical cyclones in the Arabian Sea during October-November 2015: causes and responses. J. Geophys. Res. Oceans https://doi.org/10.1029/2019JC015836 (2020).

  • Chowdhury, R. R., Kumar, S. P. & Chakraborty, A. Simultaneous occurrence of tropical cyclones in the northern Indian Ocean: differential response and triggering mechanisms. Front. Mar. Sci. https://doi.org/10.3389/fmars.2021.729269 (2021).

  • Chowdhury, R. R., Prasanna Kumar, S. & Chakraborty, A. A study on the physical and biogeochemical responses of the Bay of Bengal due to cyclone Madi. J. Oper. Oceanogr. 15, 104–125 (2020).


    Google Scholar
     

  • Ma, Z. H., Fei, J. F., Lin, Y. L. & Huang, X. G. Modulation of clouds and rainfall by tropical cyclone’s cold wakes. Geophys. Res. Lett. 47, 8 (2020).

    Article 

    Google Scholar
     

  • Ye, H. et al. Variation of pCO2 concentrations induced by tropical cyclones “wind-pump” in the middle-latitude surface oceans: a comparative study. PLoS ONE 15, e0226189 (2020).

    Article 
    CAS 

    Google Scholar
     

  • Ko, Y. H., Park, G. H., Kim, D. & Kim, T. W. Variations in seawater pCO2 associated with vertical mixing during tropical cyclone season in the northwestern subtropical Pacific Ocean. Front. Mar. Sci. https://doi.org/10.3389/fmars.2021.679314 (2021).

  • Ye, H. et al. Examining the impact of tropical cyclones on air-sea CO2 exchanges in the Bay of Bengal based on satellite data and in situ observations. J. Geophys. Res. Oceans 124, 555–576 (2019).

    Article 
    CAS 

    Google Scholar
     

  • Gregor, L., Shutler, J. & Gruber, N. High-resolution variability of the ocean carbon sink. Glob. Biogeochem. Cycles https://doi.org/10.1029/2024GB008127 (2024).

  • Yu, P. S. et al. Effects of typhoons on surface seawater pCO2 and air-sea CO2 fluxes in the northern South China Sea. J. Geophys. Res. Oceans https://doi.org/10.1029/2020JC016258 (2020).

  • Nemoto, K. et al. Continuous observations of atmospheric and oceanic CO2 using a moored buoy in the East China Sea: variations during the passage of typhoons. Deep Sea Res. Part II 56, 542–553 (2009).

    Article 
    CAS 

    Google Scholar
     

  • Koch, J., McKinley, G. A., Bennington, V. & Ullman, D. Do hurricanes cause significant interannual variability in the air-sea CO2 flux of the subtropical North Atlantic? Geophys. Res. Lett. https://doi.org/10.1029/2009gl037553 (2009).

  • Takahashi, T., Olafsson, J., Goddard, J. G., Chipman, D. W. & Sutherland, S. C. Seasonal variation of CO2 and nutrients in the high-latitude surface oceans: a comparative study. Glob. Biogeochem. Cycles 7, 843–878 (1993).

    Article 
    CAS 

    Google Scholar
     

  • Carter, B. R., Williams, N. L., Gray, A. R. & Feely, R. A. Locally interpolated alkalinity regression for global alkalinity estimation. Limnol. Oceanogr. Methods 14, 268–277 (2016).

    Article 

    Google Scholar
     

  • Carter, B. R. et al. Updated methods for global locally interpolated estimation of alkalinity, pH, and nitrate. Limnol. Oceanogr. Methods 16, 119–131 (2018).

    Article 
    CAS 

    Google Scholar
     

  • Kossin, J. P., Olander, T. L. & Knapp, K. R. Trend analysis with a new global record of tropical cyclone intensity. J. Clim. 26, 9960–9976 (2013).

    Article 

    Google Scholar
     

  • Ye, H., Ma, Z., Fei, J. & Duan, Y. Evaluation of leftward biased cold wakes induced by tropical cyclones in the North Hemisphere. J. Geophys. Res. Oceans https://doi.org/10.1029/2023jc020188 (2023).

  • Li, G. et al. Increasing ocean stratification over the past half-century. Nat. Clim. Change 10, 1116–1123 (2020).

    Article 

    Google Scholar
     

  • Sallee, J. B. et al. Summertime increases in upper-ocean stratification and mixed-layer depth. Nature 591, 592–598 (2021).

    Article 
    CAS 

    Google Scholar
     

  • Sgubin, G., Swingedouw, D., Drijfhout, S., Mary, Y. & Bennabi, A. Abrupt cooling over the North Atlantic in modern climate models. Nat. Commun. https://doi.org/10.1038/ncomms14375 (2017).

  • Bourgeois, T., Goris, N., Schwinger, J. & Tjiputra, J. F. Stratification constrains future heat and carbon uptake in the Southern Ocean between 30 degrees S and 55 degrees S. Nat. Commun. 13, 340 (2022).

    Article 
    CAS 

    Google Scholar
     

  • Zhang, S. et al. Optimizing high-resolution Community Earth System Model on a heterogeneous many-core supercomputing platform. Geosci. Model Dev. 13, 4809–4829 (2020).

    Article 

    Google Scholar
     

  • Roberts, M. J. et al. Projected future changes in tropical cyclones using the CMIP6 HighResMIP multimodel ensemble. Geophys. Res. Lett. https://doi.org/10.1029/2020gl088662 (2020).

  • Chu, J.-E. et al. Reduced tropical cyclone densities and ocean effects due to anthropogenic greenhouse warming. Sci. Adv. 6, eabd5109 (2020).

    Article 
    CAS 

    Google Scholar
     

  • Duteil, O. & Park, W. Future changes in atmospheric synoptic variability slow down ocean circulation and decrease primary productivity in the tropical Pacific Ocean. npj Clim. Atmos. Sci. https://doi.org/10.1038/s41612-023-00459-3 (2023).

  • Emanuel, K. Evidence that hurricanes are getting stronger. Proc. Natl Acad. Sci. USA 117, 13194–13195 (2020).

    Article 
    CAS 

    Google Scholar
     

  • Balaguru, K., Foltz, G. R., Leung, L. R. & Emanuel, K. A. Global warming-induced upper-ocean freshening and the intensification of super typhoons. Nat. Commun. https://doi.org/10.1038/ncomms13670 (2016).

  • Gruber, N. et al. Rapid progression of ocean acidification in the California current system. Science 337, 220–223 (2012).

    Article 
    CAS 

    Google Scholar
     

  • Lauvset, S. K., Gruber, N., Landschützer, P., Olsen, A. & Tjiputra, J. Trends and drivers in global surface ocean pH over the past 3 decades. Biogeosciences 12, 1285–1298 (2015).

    Article 

    Google Scholar
     

  • Webster, P. J., Holland, G. J., Curry, J. A. & Chang, H. R. Changes in tropical cyclone number, duration, and intensity in a warming environment. Science 309, 1844–1846 (2005).

    Article 
    CAS 

    Google Scholar
     

  • Chan, J. C. L. Comment on ‘Changes in tropical cyclone number, duration, and intensity in a warming environment’. Science https://doi.org/10.1126/science.1121522 (2006).

  • Lanzante, J. R. Uncertainties in tropical-cyclone translation speed. Nature 570, E6–E15 (2019).

    Article 
    CAS 

    Google Scholar
     

  • Vecchi, G. A. et al. Tropical cyclone sensitivities to CO2 doubling: roles of atmospheric resolution, synoptic variability and background climate changes. Clim. Dyn. 53, 5999–6033 (2019).

    Article 

    Google Scholar
     

  • Knutson, T. R. et al. Global projections of intense tropical cyclone activity for the late twenty-first century from dynamical downscaling of CMIP5/RCP4.5 scenarios. J. Clim. 28, 7203–7224 (2015).

    Article 

    Google Scholar
     

  • Sobel, A. H. et al. Tropical cyclone frequency. Earth’s Future https://doi.org/10.1029/2021ef002275 (2021).

  • Lauvset, S. K. et al. An updated version of the global interior ocean biogeochemical data product, GLODAPv2.2021. Earth Syst. Sci. Data 13, 5565–5589 (2021).

    Article 

    Google Scholar
     

  • Levitus, S. et al. World ocean heat content and thermosteric sea level change (0-2000 m), 1955–2010. Geophys. Res. Lett. https://doi.org/10.1029/2012gl051106 (2012).

  • Cheng, L. et al. Improved estimates of ocean heat content from 1960 to 2015. Sci. Adv. 3, e1601545 (2017).

    Article 

    Google Scholar
     

  • Ishii, M., Kimoto, M., Sakamoto, K. & Iwasaki, S. I. Steric sea level changes estimated from historical ocean subsurface temperature and salinity analyses. J. Oceanogr. 62, 155–170 (2006).

    Article 

    Google Scholar
     

  • Knapp, K. R., Kruk, M. C., Levinson, D. H., Diamond, H. J. & Neumann, C. J. The International Best Track Archive For Climate Stewardship (IBTrACS) unifying tropical cyclone data. Bull. Am. Meteorol. Soc. 91, 363–376 (2010).

    Article 

    Google Scholar
     

  • Broullón, D. et al. A global monthly climatology of total alkalinity: a neural network approach. Earth Syst. Sci. Data 11, 1109–1127 (2019).

    Article 

    Google Scholar
     

  • Broullón, D. et al. A global monthly climatology of oceanic total dissolved inorganic carbon: a neural network approach. Earth Syst. Sci. Data 12, 1725–1743 (2020).

    Article 

    Google Scholar
     

  • Ito, T. Optimal interpolation of global dissolved oxygen: 1965–2015. Geosci. Data J. 9, 167–176 (2021).

    Article 

    Google Scholar
     

  • Nightingale, P. D. et al. In situ evaluation of air-sea gas exchange parameterizations using novel conservative and volatile tracers. Glob. Biogeochem. Cycles 14, 373–387 (2000).

    Article 
    CAS 

    Google Scholar
     

  • Wanninkhof, R. Relationship between wind speed and gas exchange over the ocean revisited. Limnol. Oceanogr. Methods 12, 351–362 (2014).

    Article 

    Google Scholar
     

  • Weiss, R. F. Carbon dioxide in water and seawater: the solubility of a non-ideal gas. Mar. Chem. 2, 203–215 (1974).

    Article 
    CAS 

    Google Scholar
     

  • Wanninkhof, R. & McGillis, W. R. A cubic relationship between air-sea CO2 exchange and wind speed. Geophys. Res. Lett. 26, 1889–1892 (1999).

    Article 
    CAS 

    Google Scholar
     

  • Bakker, D. C. E. et al. A multi-decade record of high-quality fCO2 data in version 3 of the Surface Ocean CO2 Atlas (SOCAT). Earth Syst. Sci. Data 8, 383–413 (2016).

    Article 

    Google Scholar
     

  • Millero, F. J. The marine inorganic carbon cycle. Chem. Rev. 107, 308–341 (2007).

    Article 
    CAS 

    Google Scholar
     

  • Fassbender, A. J., Sabine, C. L. & Palevsky, H. I. Nonuniform ocean acidification and attenuation of the ocean carbon sink. Geophys. Res. Lett. 44, 8404–8413 (2017).

    Article 
    CAS 

    Google Scholar
     

  • Bushinsky, S. M. et al. Reassessing Southern Ocean air-sea CO2 flux estimates with the addition of biogeochemical float observations. Glob. Biogeochem. Cycles 33, 1370–1388 (2019).

    Article 
    CAS 

    Google Scholar
     

  • Sharp, J. D. et al. CO2SYSv3 for MATLAB (v3.2.0). Zenodo https://doi.org/10.5281/zenodo.4774718 (2021).

  • Olsen, A. et al. The Global Ocean Data Analysis Project version 2 (GLODAPv2)—an internally consistent data product for the world ocean. Earth Syst. Sci. Data 8, 297–323 (2016).

    Article 

    Google Scholar
     

  • Bittig, H. C. et al. An alternative to static climatologies: robust estimation of open ocean CO2 variables and nutrient concentrations from T, S, and O2 data using Bayesian neural networks. Front. Mar. Sci. https://doi.org/10.3389/fmars.2018.00328 (2018).

  • Carter, B. R. et al. New and updated global empirical seawater property estimation routines. Limnol. Oceanogr. Methods 19, 785–809 (2021).

    Article 
    CAS 

    Google Scholar
     

  • Weiss, R. F. & Price, B. A. Nitrous oxide solubility in water and seawater. Mar. Chem. 8, 347–359 (1980).

    Article 
    CAS 

    Google Scholar
     

  • Dlugokencky, E. J., Thoning, K. W., Lan, X. & Tans, P. P. NOAA Greenhouse Gas Reference from Atmospheric Carbon Dioxide Dry Air Mole Fractions from the NOAA GML Carbon Cycle Cooperative Global Air Sampling Network (NOAA ESRL, 2021).

  • Bell, B. et al. The ERA5 global reanalysis: preliminary extension to 1950. Q. J. R. Meteorolog. Soc. 147, 4186–4227 (2021).

    Article 

    Google Scholar
     

  • Mears, C. A. et al. A near-real-time version of the cross-calibrated multiplatform (CCMP) ocean surface wind velocity data set. J. Geophys. Res. Oceans 124, 6997–7010 (2019).

    Article 

    Google Scholar
     

  • Mears, C., Lee, T., Ricciardulli, L., Wang, X. & Wentz, F. Improving the accuracy of the cross-calibrated multi-platform (CCMP) ocean vector winds. Remote Sens. https://doi.org/10.3390/rs14174230 (2022).

  • Willoughby, H. E., Darling, R. W. R. & Rahn, M. E. Parametric representation of the primary hurricane vortex. Part II: a new family of sectionally continuous profiles. Mon. Weather Rev. 134, 1102–1120 (2006).

    Article 

    Google Scholar
     

  • Vincent, E. M. et al. Processes setting the characteristics of sea surface cooling induced by tropical cyclones. J. Geophys. Res. Oceans https://doi.org/10.1029/2011jc007396 (2012).

  • Sutton, A. J. et al. A high-frequency atmospheric and seawater pCO2 data set from 14 open-ocean sites using a moored autonomous system. Earth Syst. Sci. Data 6, 353–366 (2014).

    Article 

    Google Scholar
     

  • Sutton, A. J. et al. Autonomous seawater pCO2 and pH time series from 40 surface buoys and the emergence of anthropogenic trends. Earth Syst. Sci. Data 11, 421–439 (2019).

    Article 

    Google Scholar
     

  • Sutton, A. J. et al. Variability and trends in surface seawater pCO2 and CO2 flux in the Pacific Ocean. Geophys. Res. Lett. 44, 5627–5636 (2017).

    Article 
    CAS 

    Google Scholar
     

  • Pollard, R., Rhines, P. & Thompson, R. The deepening of the wind-mixed layer. Geophys. Fluid Dyn. 4, 381–404 (1972).

    Article 

    Google Scholar
     

  • Large, W. G., McWilliams, J. C. & Doney, S. C. Oceanic vertical mixing: a review and a model with a nonlocal boundary layer parameterization. Rev. Geophys. 32, 363–403 (1994).

    Article 

    Google Scholar
     

  • Nicholson, S. A. et al. Storms drive outgassing of CO2 in the subpolar Southern Ocean. Nat. Commun. 13, 158 (2022).

    Article 
    CAS 

    Google Scholar
     

  • Flato, G. et al. in Climate Change 2013: The Physical Science Basis (eds Stocker, T. F. et al.) 741–866 (Cambridge Univ. Press, 2013).

  • Zarzycki, C. M. & Ullrich, P. A. Assessing sensitivities in algorithmic detection of tropical cyclones in climate data. Geophys. Res. Lett. 44, 1141–1149 (2017).

    Article 

    Google Scholar
     

  • hxyocean. hxyocean/TC-carbon-fluxes: code to calculate global carbon flux induced by tropical cyclones (v1.0). Zenodo https://doi.org/10.5281/zenodo.20077254 (2026).