• Ripple, W. J. et al. Many risky feedback loops amplify the need for climate action. One Earth 6, 86–91 (2023).

    Article 
    ADS 

    Google Scholar
     

  • Beer, C. et al. Terrestrial gross carbon dioxide uptake: global distribution and covariation with climate. Science 329, 834–838 (2010).

    Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Wang, N. et al. Effects of climate warming on carbon fluxes in grasslands— A global meta-analysis. Glob. Change Biol. 25, 1839–1851 (2019).

    Article 
    ADS 

    Google Scholar
     

  • Jian, J. et al. Historically inconsistent productivity and respiration fluxes in the global terrestrial carbon cycle. Nat. Commun. 13, 1733 (2022).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Zickfeld, K., Azevedo, D., Mathesius, S. & Matthews, H. D. Asymmetry in the climate–carbon cycle response to positive and negative CO2 emissions. Nat. Clim. Change 11, 613–617 (2021).

    Article 
    ADS 
    CAS 

    Google Scholar
     

  • Campbell, J. E. et al. Large historical growth in global terrestrial gross primary production. Nature 544, 84–87 (2017).

    Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • O’Sullivan, M. et al. Climate-driven variability and trends in plant productivity over recent decades based on three global products. Glob. Biogeochem. Cycles 34, e2020GB006613 (2020).

    Article 
    ADS 

    Google Scholar
     

  • Bai, Y., Liang, S., Jia, A. & Li, S. Different satellite products revealing variable trends in global gross primary production. J. Geophys. Res.: Biogeosci. 128, e2022JG006918 (2023).

    Article 
    ADS 

    Google Scholar
     

  • Yang, R. et al. Divergent historical GPP trends among state-of-the-art multi-model simulations and satellite-based products. Earth Syst. Dynam. 13, 833–849 (2022).

    Article 
    ADS 

    Google Scholar
     

  • Anav, A. et al. Spatiotemporal patterns of terrestrial gross primary production: a review. Rev. Geophys. 53, 785–818 (2015).

    Article 
    ADS 

    Google Scholar
     

  • Sun, Z. et al. Spatial pattern of GPP variations in terrestrial ecosystems and its drivers: Climatic factors, CO2 concentration and land-cover change, 1982–2015. Ecol. Inform. 46, 156–165 (2018).

    Article 
    CAS 

    Google Scholar
     

  • Li, G. et al. Effects of warming and increased precipitation on net ecosystem productivity: a long-term manipulative experiment in a semiarid grassland. Agric. For. Meteorol. 232, 359–366 (2017).

    Article 
    ADS 

    Google Scholar
     

  • Jung, M. et al. Compensatory water effects link yearly global land CO2 sink changes to temperature. Nature 541, 516–520 (2017).

    Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Wang, S. et al. Recent global decline of CO2 fertilization effects on vegetation photosynthesis. Science 370, 1295–1300 (2020).

    Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • He, P., Ma, X. & Sun, Z. Interannual variability in summer climate change controls GPP long-term changes. Environ. Res. 212, 113409 (2022).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Wu, H. et al. Drought-induced weakening of temperature control on ecosystem carbon uptake across northern lands. Glob. Change Biol. 31, e70032 (2025).

    Article 
    CAS 

    Google Scholar
     

  • Piao, S. et al. Weakening temperature control on the interannual variations of spring carbon uptake across northern lands. Nat. Clim. Change 7, 359–363 (2017).

    Article 
    ADS 
    CAS 

    Google Scholar
     

  • Zhu, P. et al. Recent warming has resulted in smaller gains in net carbon uptake in northern high latitudes. J. Clim. 32, 5849–5863 (2019).

    Article 
    ADS 

    Google Scholar
     

  • Dass, P., Rawlins, M. A., Kimball, J. S. & Kim, Y. Environmental controls on the increasing GPP of terrestrial vegetation across northern Eurasia. Biogeosciences 13, 45–62 (2016).

    Article 
    ADS 

    Google Scholar
     

  • Huang, M. et al. Air temperature optima of vegetation productivity across global biomes. Nat. Ecol. Evol. 3, 772–779 (2019).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Hu, L. et al. COS-derived GPP relationships with temperature and light help explain high-latitude atmospheric CO2 seasonal cycle amplification. Proc. Natl. Acad. Sci. USA 118, e2103423118 (2021).

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Fang, Z. et al. Global increase in the optimal temperature for the productivity of terrestrial ecosystems. Commun. Earth Environ. 5, 466 (2024).

    Article 
    ADS 

    Google Scholar
     

  • Pau, S., Detto, M., Kim, Y. & Still, C. J. Tropical forest temperature thresholds for gross primary productivity. Ecosphere 9, e02311 (2018).

    Article 

    Google Scholar
     

  • Von Buttlar, J. et al. Impacts of droughts and extreme-temperature events on gross primary production and ecosystem respiration: a systematic assessment across ecosystems and climate zones. Biogeosciences 15, 1293–1318 (2018).

    Article 
    ADS 

    Google Scholar
     

  • Xu, H., Xiao, J. & Zhang, Z. Heatwave effects on gross primary production of northern mid-latitude ecosystems. Environ. Res. Lett. 15, 074027 (2020).

    Article 

    Google Scholar
     

  • Zheng, Q. et al. The optimal temperature of ecosystem respiration homogenizes under global warming. Earth’s. Future 13, e2025EF006440 (2025).

    Article 
    ADS 

    Google Scholar
     

  • Chen, W. et al. Evidence for widespread thermal optimality of ecosystem respiration. Nat. Ecol. Evol. 7, 1379–1387 (2023).

    Article 
    PubMed 

    Google Scholar
     

  • Liu, Z. et al. Precipitation thresholds regulate net carbon exchange at the continental scale. Nat. Commun. 9, 3596 (2018).

    Article 
    ADS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Ritter, F., Berkelhammer, M. & Garcia, C. Distinct response of gross primary productivity in five terrestrial biomes to precipitation variability. Commun. Earth Environ. 1, 34 (2020).

    Article 
    ADS 

    Google Scholar
     

  • Zheng, Y., Yue, X., Lu, X. & Zhu, J. Gross primary productivity responses to meteorological drivers: insights from observations and multi-model ensembles. Preprint at https://doi.org/10.5194/egusphere-2025-1515 (2025).

  • Zhao, L., Dai, A. & Dong, B. Changes in global vegetation activity and its driving factors during 1982–2013. Agric. For. Meteorol. 249, 198–209 (2018).

    Article 
    ADS 

    Google Scholar
     

  • Gampe, D. et al. Increasing impact of warm droughts on northern ecosystem productivity over recent decades. Nat. Clim. Chang. 11, 772–779 (2021).

    Article 
    ADS 

    Google Scholar
     

  • Xia, J. et al. Joint control of terrestrial gross primary productivity by plant phenology and physiology. Proc. Natl. Acad. Sci. Usa. 112, 2788–2793 (2015).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Liu, Z. et al. Precipitation shapes the spatial pattern of gross primary productivity, while temperature drives its interannual variability in the Northern Hemisphere. For. Ecol. Manag. 601, 123328 (2026).

    Article 

    Google Scholar
     

  • Petoukhov, V. et al. Role of quasiresonant planetary wave dynamics in recent boreal spring-to-autumn extreme events. Proc. Natl. Acad. Sci. USA 113, 6862–6867 (2016).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Coumou, D., Kornhuber, K., Lehmann, J. & Petoukhov, V. Weakened flow, persistent circulation, and prolonged weather extremes in boreal summer. In Geophysical Monograph Series (eds Wang, S.-Y. S. et al.) 61–73 (Wiley, 2017).

  • Kornhuber, K. et al. Extreme weather events in early summer 2018 connected by a recurrent hemispheric wave-7 pattern. Environ. Res. Lett. 14, 054002 (2019).

    Article 

    Google Scholar
     

  • Cheng, L. et al. Westerly jet waviness modulates mid-latitude hydroclimate variability. Nat. Commun. 16, 10928 (2025).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Chemke, R. & Coumou, D. Human influence on the recent weakening of storm tracks in boreal summer. npj Clim. Atmos. Sci. 7, 86 (2024).

    Article 

    Google Scholar
     

  • Woollings, T., Drouard, M., O’Reilly, C. H., Sexton, D. M. H. & McSweeney, C. Trends in the atmospheric jet streams are emerging in observations and could be linked to tropical warming. Commun. Earth Environ. 4, 125 (2023).

    Article 
    ADS 

    Google Scholar
     

  • Davini, P. & D’Andrea, F. From CMIP3 to CMIP6: northern hemisphere atmospheric blocking simulation in present and future climate. J. Clim. 33, 10021–10038 (2020).

    Article 
    ADS 

    Google Scholar
     

  • Lupo, A. R. Atmospheric blocking events: a review. Ann. N. Y. Acad. Sci. 1504, 5–24 (2021).

    Article 
    ADS 
    PubMed 

    Google Scholar
     

  • Kornhuber, K., Petoukhov, V., Petri, S., Rahmstorf, S. & Coumou, D. Evidence for wave resonance as a key mechanism for generating high-amplitude quasi-stationary waves in boreal summer. Clim. Dyn. 49, 1961–1979 (2016).

    Article 

    Google Scholar
     

  • Yang, X. et al. Phase-locked Rossby wave-4 pattern dominates the 2022-Like concurrent heat extremes across the northern hemisphere. Geophys. Res. Lett. 51, e2023GL107106 (2024).

    Article 
    ADS 

    Google Scholar
     

  • Lian, X., Li, Y., Liu, J., Kornhuber, K. & Gentine, P. Northern ecosystem productivity reduced by Rossby-wave-driven hot–dry conditions. Nat. Geosci. 18, 615–623 (2025).

    Article 
    ADS 
    CAS 

    Google Scholar
     

  • Wang, Z. et al. Evolution of global terrestrial gross primary productivity trend. Ecosyst. Health Sustain 10, 0278 (2024).

    Article 
    CAS 

    Google Scholar
     

  • Chen, X. et al. A 2001–2022 global gross primary productivity dataset using an ensemble model based on the random forest method. Biogeosciences 21, 4285–4300 (2024).

    Article 
    ADS 

    Google Scholar
     

  • Leng, J. et al. Global datasets of hourly carbon and water fluxes simulated using a satellite-based process model with dynamic parameterizations. Earth Syst. Sci. Data 16, 1283–1300 (2024).

    Article 
    ADS 

    Google Scholar
     

  • Chen, S., Xiao, J., Li, X., Wu, M. & Yang, J. Disentangling the climate–VPD–GPP Nexus: Global patterns and underlying drivers. Glob. Planet. Change 256, 105141 (2026).

    Article 

    Google Scholar
     

  • Wang, Y., Li, P., Yuemin, Y. & Tiantian, C. Global vegetation-temperature sensitivity and its driving forces in the 21st century. Earth’s. Future 12, e2022EF003395 (2024).

    Article 
    ADS 

    Google Scholar
     

  • Francis, J. A. & Vavrus, S. J. Evidence for a wavier jet stream in response to rapid Arctic warming. Environ. Res. Lett. 10, 014005 (2015).

    Article 

    Google Scholar
     

  • Yang, X. et al. Diversifying crop rotation increases food production, reduces net greenhouse gas emissions and improves soil health. Nat. Commun. 15, 198 (2024).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Yang, Y. et al. Sustainable irrigation and climate feedbacks. Nat. Food 4, 654–663 (2023).

    Article 
    PubMed 

    Google Scholar
     

  • Chu, C. et al. Does climate directly influence NPP globally? Glob. Change Biol. 22, 12–24 (2016).

    Article 
    ADS 

    Google Scholar
     

  • Wei, X. et al. Assessment of the variation and influencing factors of vegetation NPP and carbon sink capacity under different natural conditions. Ecol. Indic. 138, 108834 (2022).

    Article 

    Google Scholar
     

  • Zhou, X. & Lu, R. The unprecedented extreme anticyclonic anomaly over Northeast Asia in July 2021 and its climatic impacts. Adv. Atmos. Sci. 41, 608–618 (2024).

    Article 

    Google Scholar
     

  • Hawcroft, M. K., Shaffrey, L. C., Hodges, K. I. & Dacre, H. F. How much Northern Hemisphere precipitation is associated with extratropical cyclones? Geophys. Res. Lett. 39, L24809 (2012).

  • Yang, X., Zeng, G., Zhang, S., Wang, W.-C. & Iyakaremye, V. Cold anomaly over Nova Zembla–Ural mountains: a precursor for the summer long-lived heat wave in Northeast Asia? Geophys. Res. Lett. 48, e2021GL095563 (2021).

    Article 
    ADS 

    Google Scholar
     

  • Coumou, D., Lehmann, J. & Beckmann, J. The weakening summer circulation in the Northern Hemisphere mid-latitudes. Science 348, 324–327 (2015).

    Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Breul, P., Ceppi, P., Simpson, I. R. & Woollings, T. Seasonal and regional jet stream changes and drivers. Nat. Rev. Earth Environ. 6, 824–842 (2025).

    Article 
    ADS 

    Google Scholar
     

  • Chen, G., Zhang, P. & Lu, J. Sensitivity of the latitude of the westerly jet stream to climate forcing. Geophys. Res. Lett. 47, e2019GL086563 (2020).

    Article 
    ADS 

    Google Scholar
     

  • Iles, C. E., Samset, B. H. & Lund, M. T. How polar-midlatitude atmospheric teleconnections depend on regional sea ice fraction and global warming level. Earth Syst. Dynam. 16, 2253–2272 (2025).

    Article 
    ADS 

    Google Scholar
     

  • Chen, X. & Dai, A. Response of meridional wind to greenhouse gas forcing, arctic sea-ice loss, and arctic amplification. J. Clim. 35, 7275–7297 (2022).

    Article 

    Google Scholar
     

  • Keenan, T. F. et al. A constraint on historic growth in global photosynthesis due to rising CO2. Nat. Clim. Change 13, 1376–1381 (2023).

    Article 
    ADS 
    CAS 

    Google Scholar
     

  • Zhang, K., Zuo, Z., Mei, W., Zhang, R. & Dai, A. A westward shift of heatwave hotspots caused by warming-enhanced land–air coupling. Nat. Clim. Change 15, 546–553 (2025).

    Article 
    ADS 
    CAS 

    Google Scholar
     

  • Klein Tank, A. M. G. et al. Changes in daily temperature and precipitation extremes in central and south Asia. J. Geophys. Res.: Atmos. 111, D16105 (2006).

  • Dong, X., Zeng, G., Zhang, G. & Yang, X. Current AMO mitigating extreme high temperatures in Central Asia under global warming. Int. J. Climatol. 43, 3947–3962 (2023).

    Article 

    Google Scholar
     

  • Pielke, R. A. Sr. et al. Land use/land cover changes and climate: modeling analysis and observational evidence. WIREs Clim. Change 2, 828–850 (2011).

    Article 

    Google Scholar
     

  • Mahmood, R. et al. Land cover changes and their biogeophysical effects on climate. Int. J. Climatol. 34, 929–953 (2014).

    Article 

    Google Scholar
     

  • Wu, H. et al. Significant sensitivity of global vegetation productivity to terrestrial surface wind speed changes. Nat. Commun. 16, 9315 (2025).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Fu, C. et al. Temperature thresholds for carbon flux variation and warming-induced changes. J. Geophys. Res.: Atmos. 128, e2023JD039747 (2023).

    Article 
    ADS 

    Google Scholar
     

  • Hersbach, H. et al. The ERA5 global reanalysis. Quart. J. R. Meteor. Soc. 146, 1999–2049 (2020).

    Article 
    ADS 

    Google Scholar
     

  • Wang, S., Zhang, Y., Ju, W., Qiu, B. & Zhang, Z. Tracking the seasonal and inter-annual variations of global gross primary production during last four decades using satellite near-infrared reflectance data. Sci. Total Environ. 755, 142569 (2021).

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Zhu, W. et al. Remote sensing of terrestrial gross primary productivity: a review of advances in theoretical foundation, key parameters and methods. GIScience Remote Sens. 61, 2318846 (2024).

    Article 

    Google Scholar
     

  • Chen, Z., Wang, W., Forzieri, G. & Cescatti, A. Transition from positive to negative indirect CO2 effects on the vegetation carbon uptake. Nat. Commun. 15, 1500 (2024).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Badgley, G., Field, C. B. & Berry, J. A. Canopy near-infrared reflectance and terrestrial photosynthesis. Sci. Adv. 3, e1602244 (2017).

    Article 
    ADS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Liang, S. et al. The global land surface satellite (GLASS) product suite. Bull. Am. Meteorol. Soc. 102, E323–E337 (2021).

    Article 

    Google Scholar
     

  • Yuan, W. et al. Deriving a light use efficiency model from eddy covariance flux data for predicting daily gross primary production across biomes. Agric. For. Meteorol. 143, 189–207 (2007).

    Article 
    ADS 

    Google Scholar
     

  • Yuan, W. et al. Global estimates of evapotranspiration and gross primary production based on MODIS and global meteorology data. Remote Sens. Environ. 114, 1416–1431 (2010).

    Article 
    ADS 

    Google Scholar
     

  • Madani, N., Kimball, J. S. & Running, S. W. Improving global gross primary productivity estimates by computing optimum light use efficiencies using flux tower data. JGR Biogeosci. 122, 2939–2951 (2017).

    Article 

    Google Scholar
     

  • Tagesson, T. et al. A physiology-based Earth observation model indicates stagnation in the global gross primary production during recent decades. Glob. Change Biol. 27, 836–854 (2021).

    Article 
    ADS 
    CAS 

    Google Scholar
     

  • Hurtt, G. C. et al. Harmonization of global land use change and management for the period 850–2100 (LUH2) for CMIP6. Geosci. Model Dev. 13, 5425–5464 (2020).

    Article 
    ADS 
    CAS 

    Google Scholar
     

  • Hurtt, G. C. et al. Harmonization of land-use scenarios for the period 1500–2100: 600 years of global gridded annual land-use transitions, wood harvest, and resulting secondary lands. Clim. Change 109, 117–161 (2011).

    Article 
    ADS 

    Google Scholar
     

  • Kalnay, E. et al. The NCEP/NCAR 40-year reanalysis project. Bull. Am. Meteor. Soc. 77, 437–471 (1996).

    Article 
    ADS 

    Google Scholar
     

  • Kobayashi, S. et al. The JRA-55 reanalysis: general specifications and basic characteristics. J. Meteorol. Soc. Jpn. 93, 5–48 (2015).

    Article 
    ADS 

    Google Scholar
     

  • Kay, J. E. et al. The community earth system model (CESM) large ensemble project: a community resource for studying climate change in the presence of internal climate variability. Bull. Am. Meteorol. Soc. 96, 1333–1349 (2015).

    Article 
    ADS 

    Google Scholar
     

  • Tan, X. et al. Increasing global precipitation whiplash due to anthropogenic greenhouse gas emissions. Nat. Commun. 14, 2796 (2023).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Gu, X. et al. Frequent land-ocean transboundary migration of tropical heatwaves under climate change. Nat. Commun. 16, 3400 (2025).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Nerushev, A. F., Visheratin, K. N. & Ivangorodsky, R. V. Dynamics of high-altitude jet streams from satellite measurements and their relationship with climatic parameters and large-scale atmospheric phenomena. Izvestiya, Atmos. Ocean. Phys. 55, 1198–1209 (2020).

    Article 
    ADS 

    Google Scholar
     

  • Stendel, M., Francis, J., White, R., Williams, P. D. & Woollings, T. The jet stream and climate change. In Climate Change 327–357 https://doi.org/10.1016/B978-0-12-821575-3.00015-3 (Elsevier, 2021).

  • Röthlisberger, M., Pfahl, S. & Martius, O. Regional-scale jet waviness modulates the occurrence of midlatitude weather extremes. Geophys. Res. Lett. 43, 10,989–10,997 (2016).

    Article 

    Google Scholar
     

  • Harvey, B., Methven, J., Sanchez, C. & Schäfler, A. Diabatic generation of negative potential vorticity and its impact on the North Atlantic jet stream. Q. J. R. Meteorol. Soc. 146, 1477–1497 (2020).

    Article 
    ADS 

    Google Scholar
     

  • Martin, J. E. Recent trends in the waviness of the northern hemisphere wintertime polar and subtropical jets. J. Geophys. Res.: Atmos. 126, e2020JD033668 (2021).

    Article 
    ADS 

    Google Scholar
     

  • Petoukhov, V., Rahmstorf, S., Petri, S. & Schellnhuber, H. J. Quasiresonant amplification of planetary waves and recent Northern Hemisphere weather extremes. Proc. Natl. Acad. Sci. USA 110, 5336–5341 (2013).

    Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Blackport, R. & Screen, J. A. Insignificant effect of Arctic amplification on the amplitude of midlatitude atmospheric waves. Sci. Adv. 6, eaay2880 (2020).

    Article 
    ADS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Fragkoulidis, G. Decadal variability and trends in extratropical Rossby wave packet amplitude, phase, and phase speed. Weather Clim. Dynam. 3, 1381–1398 (2022).

    Article 
    ADS 

    Google Scholar
     

  • Barnes, E. A. & Screen, J. A. The impact of Arctic warming on the midlatitude jet-stream: can it? Has it? Will it? WIREs Clim. Change 6, 277–286 (2015).

    Article 

    Google Scholar
     

  • Geen, R. et al. An explanation for the metric dependence of the midlatitude jet-waviness change in response to polar warming. Geophys. Res. Lett. 50, e2023GL105132 (2023).

    Article 
    ADS 

    Google Scholar
     

  • Rodríguez-Caballero, E., Afana, A., Chamizo, S., Solé-Benet, A. & Canton, Y. A new adaptive method to filter terrestrial laser scanner point clouds using morphological filters and spectral information to conserve surface micro-topography. ISPRS J. Photogramm. Remote Sens. 117, 141–148 (2016).

    Article 
    ADS 

    Google Scholar
     

  • Liu, L., Sun, X., Chen, F., Zhao, S. & Gao, T. Cloud classification based on structure features of infrared images. J. Atmos. Ocean. Technol. 28, 410–417 (2011).

    Article 
    ADS 

    Google Scholar
     

  • Mat Said, K. A., Jambek, A. & Sulaiman, N. A study of image processing using morphological opening and closing processes. Int. J. Control Theory Appl. 9, 15–21 (2016).


    Google Scholar
     

  • Vincent, L. Morphological area openings and closings for grey-scale images. In Shape in Picture 197–208 https://doi.org/10.1007/978-3-662-03039-4_13 (Springer Berlin Heidelberg, Berlin, Heidelberg, 1994).

  • Yang, X. Wildfire risk for species. GitHub https://github.com/xiaoyeyang1024/WesterlyJetAxis (2026).