in

Soil moisture–atmosphere feedbacks mitigate declining water availability in drylands

[adace-ad id="91168"]
  • 1.

    Oki, T. & Kanae, S. Global hydrological cycles and world water resources. Science 313, 1068–1072 (2006).

    CAS  Article  Google Scholar 

  • 2.

    Rockström, J. et al. Future water availability for global food production: the potential of green water for increasing resilience to global change. Water Resour. Res. 45, W00A12 (2009).

    Article  Google Scholar 

  • 3.

    Anderegg, W. R. L. et al. Tree mortality predicted from drought-induced vascular damage. Nat. Geosci. 8, 367–371 (2015).

    CAS  Article  Google Scholar 

  • 4.

    Ruppert, J. C. et al. Quantifying drylands’ drought resistance and recovery: the importance of drought intensity, dominant life history and grazing regime. Glob. Change Biol. 21, 1258–1270 (2015).

    Article  Google Scholar 

  • 5.

    Huntington, T. G. Evidence for intensification of the global water cycle: review and synthesis. J. Hydrol. 319, 83–95 (2006).

    Article  Google Scholar 

  • 6.

    Held, I. M. & Soden, B. J. Robust responses of the hydrological cycle to global warming. J. Clim. 19, 5686–5699 (2006).

    Article  Google Scholar 

  • 7.

    Lorenz, D. J. & DeWeaver, E. T. The response of the extratropical hydrological cycle to global warming. J. Clim. 20, 3470–3484 (2007).

    Article  Google Scholar 

  • 8.

    Greve, P. & Seneviratne, S. I. Assessment of future changes in water availability and aridity. Geophys. Res. Lett. 42, 5493–5499 (2015).

    CAS  Article  Google Scholar 

  • 9.

    Byrne, M. P. & O’Gorman, P. A. The response of precipitation minus evapotranspiration to climate warming: why the ‘wet-get-wetter, dry-get-drier’ scaling does not hold over land. J. Clim. 28, 8078–8092 (2015).

    Article  Google Scholar 

  • 10.

    Chou, C., Neelin, J. D., Chen, C.-A. & Tu, J.-Y. Evaluating the ‘rich-get-richer’ mechanism in tropical precipitation change under global warming. J. Clim. 22, 1982–2005 (2009).

    Article  Google Scholar 

  • 11.

    Vecchi, G. A. et al. Weakening of tropical Pacific atmospheric circulation due to anthropogenic forcing. Nature 441, 73–76 (2006).

    CAS  Article  Google Scholar 

  • 12.

    Chadwick, R., Boutle, I. & Martin, G. Spatial patterns of precipitation change in CMIP5: why the rich do not get richer in the tropics. J. Clim. 26, 3803–3822 (2012).

    Article  Google Scholar 

  • 13.

    Guillod, B. P., Orlowsky, B., Miralles, D. G., Teuling, A. J. & Seneviratne, S. I. Reconciling spatial and temporal soil moisture effects on afternoon rainfall. Nat. Commun. 6, 6443 (2015).

    CAS  Article  Google Scholar 

  • 14.

    Seneviratne, S. I. et al. Investigating soil moisture–climate interactions in a changing climate: a review. Earth Sci. Rev. 99, 125–161 (2010).

    CAS  Article  Google Scholar 

  • 15.

    Taylor, C. M., Parker, D. J. & Harris, P. P. An observational case study of mesoscale atmospheric circulations induced by soil moisture. Geophys. Res. Lett. 34, L15801 (2007).

    Article  Google Scholar 

  • 16.

    Ookouchi, Y., Segal, M., Kessler, R. C. & Pielke, R. A. Evaluation of soil moisture effects on the generation and modification of mesoscale circulations. Mon. Weather Rev. 112, 2281–2292 (1984).

    Article  Google Scholar 

  • 17.

    Segal, M. & Arritt, R. W. Nonclassical mesoscale circulations caused by surface sensible heat-flux gradients. Bull. Am. Meteor. Soc. 73, 1593–1604 (1992).

    Article  Google Scholar 

  • 18.

    Taylor, C. M., de Jeu, R. A. M., Guichard, F., Harris, P. P. & Dorigo, W. A. Afternoon rain more likely over drier soils. Nature 489, 423–426 (2012).

    CAS  Article  Google Scholar 

  • 19.

    Hsu, H., Lo, M.-H., Guillod, B. P., Miralles, D. G. & Kumar, S. Relation between precipitation location and antecedent/subsequent soil moisture spatial patterns: precipitation–soil moisture coupling. J. Geophys. Res. Atmos. 122, 6319–6328 (2017).

    Article  Google Scholar 

  • 20.

    Froidevaux, P., Schlemmer, L., Schmidli, J., Langhans, W. & Schär, C. Influence of the background wind on the local soil moisture–precipitation feedback. J. Atmos. Sci. 71, 782–799 (2013).

    Article  Google Scholar 

  • 21.

    Seneviratne, S. I. et al. Impact of soil moisture–climate feedbacks on CMIP5 projections: first results from the GLACE-CMIP5 experiment. Geophys. Res. Lett. 40, 5212–5217 (2013).

    Article  Google Scholar 

  • 22.

    Byrne, M. P. & O’Gorman, P. A. Land–ocean warming contrast over a wide range of climates: convective quasi-equilibrium theory and idealized simulations. J. Clim. 26, 4000–4016 (2012).

    Article  Google Scholar 

  • 23.

    Joshi, M. M., Gregory, J. M., Webb, M. J., Sexton, D. M. H. & Johns, T. C. Mechanisms for the land/sea warming contrast exhibited by simulations of climate change. Clim. Dyn. 30, 455–465 (2008).

    Article  Google Scholar 

  • 24.

    Fasullo, J. T. Robust land–ocean contrasts in energy and water cycle feedbacks. J. Clim. 23, 4677–4693 (2010).

    Article  Google Scholar 

  • 25.

    Tokinaga, H., Xie, S.-P., Deser, C., Kosaka, Y. & Okumura, Y. M. Slowdown of the Walker circulation driven by tropical Indo-Pacific warming. Nature 491, 439–443 (2012).

    CAS  Article  Google Scholar 

  • 26.

    Lu, J., Vecchi, G. A. & Reichler, T. Expansion of the Hadley cell under global warming. Geophys. Res. Lett. 34, L06805 (2007).

    Google Scholar 

  • 27.

    Karnauskas, K. B. & Ummenhofer, C. C. On the dynamics of the Hadley circulation and subtropical drying. Clim. Dyn. 42, 2259–2269 (2014).

    Article  Google Scholar 

  • 28.

    Lau, W. K. M. & Kim, K.-M. Robust Hadley circulation changes and increasing global dryness due to CO2 warming from CMIP5 model projections. Proc. Natl Acad. Sci. USA 112, 3630–3635 (2015).

    CAS  Article  Google Scholar 

  • 29.

    Seager, R. et al. Model projections of an imminent transition to a more arid climate in Southwestern North America. Science 316, 1181–1184 (2007).

    CAS  Article  Google Scholar 

  • 30.

    Seager, R., Naik, N. & Vecchi, G. A. Thermodynamic and dynamic mechanisms for large-scale changes in the hydrological cycle in response to global warming. J. Clim. 23, 4651–4668 (2010).

    Article  Google Scholar 

  • 31.

    O’Gorman, P. A. & Schneider, T. Stochastic models for the kinematics of moisture transport and condensation in homogeneous turbulent flows. J. Atmos. Sci. 63, 2992–3005 (2006).

    Article  Google Scholar 

  • 32.

    He, J. & Soden, B. J. A re-examination of the projected subtropical precipitation decline. Nat. Clim. Change 7, 53–57 (2017).

    Article  Google Scholar 

  • 33.

    Chadwick, R., Ackerley, D., Ogura, T. & Dommenget, D. Separating the influences of land warming, the direct CO2 effect, the plant physiological effect, and SST warming on regional precipitation changes. J. Geophys. Res. Atmos. 124, 624–640 (2019).

    CAS  Article  Google Scholar 

  • 34.

    Findell, K. L. et al. Rising temperatures increase importance of oceanic evaporation as a source for continental precipitation. J. Clim. 32, 7713–7726 (2019).

    Article  Google Scholar 

  • 35.

    Krakauer, N., Book, B. I. & Puma, M. J. Contribution of soil moisture feedback to hydroclimatic variability. Hydrol. Earth Syst. Sci. 16, 505–520 (2010).

    Article  Google Scholar 

  • 36.

    Roudier, P. et al. Projections of future floods and hydrological droughts in Europe under a +2°C global warming. Climatic Change 135, 341–355 (2016).

    Article  Google Scholar 

  • 37.

    Zhou, S., Zhang, Y., Williams, A. P. & Gentine, P. Projected increases in intensity, frequency, and terrestrial carbon costs of compound drought and aridity events. Sci. Adv. 5, eaau5740 (2019).

    Article  CAS  Google Scholar 

  • 38.

    Lorenz, R. et al. Influence of land–atmosphere feedbacks on temperature and precipitation extremes in the GLACE-CMIP5 ensemble. J. Geophys. Res. Atmos. 121, 607–623 (2016).

    Article  Google Scholar 

  • 39.

    Berg, A. et al. Land–atmosphere feedbacks amplify aridity increase over land under global warming. Nat. Clim. Change 6, 869–874 (2016).

    Article  Google Scholar 

  • 40.

    Zhou, S. et al. Land–atmosphere feedbacks exacerbate concurrent soil drought and atmospheric aridity. Proc. Natl Acad. Sci. USA 116, 18848–18853 (2019).

    CAS  Article  Google Scholar 

  • 41.

    Gelaro, R. et al. The Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2). J. Clim. 30, 5419–5454 (2017).

    Article  Google Scholar 

  • 42.

    Green, J. K. et al. Regionally strong feedbacks between the atmosphere and terrestrial biosphere. Nat. Geosci. 10, 410–414 (2017).

    CAS  Article  Google Scholar 

  • 43.

    Huang, J., Yu, H., Guan, X., Wang, G. & Guo, R. Accelerated dryland expansion under climate change. Nat. Clim. Change 6, 166–171 (2016).

    Article  Google Scholar 

  • 44.

    Milly, P. C. D. & Dunne, K. A. Potential evapotranspiration and continental drying. Nat. Clim. Change 6, 946–949 (2016).

    Article  Google Scholar 

  • 45.

    Zhou, S., Yu, B., Huang, Y. & Wang, G. The complementary relationship and generation of the Budyko functions. Geophys. Res. Lett. 42, 1781–1790 (2015).

    Article  Google Scholar 

  • 46.

    Choudhury, B. J. Evaluation of an empirical equation for annual evaporation using field observations and results from a biophysical model. J. Hydrol. 216, 99–110 (1999).

    Article  Google Scholar 

  • 47.

    Wei, J., Dickinson, R. E. & Chen, H. A negative soil moisture–precipitation relationship and its causes. J. Hydrometeorol. 9, 1364–1376 (2008).

    Article  Google Scholar 

  • 48.

    Zhang, J., Wang, W.-C. & Wei, J. Assessing land–atmosphere coupling using soil moisture from the Global Land Data Assimilation System and observational precipitation. J. Geophys. Res. 113, D17119 (2008).

    Article  Google Scholar 

  • 49.

    Seneviratne, S. I. et al. Soil moisture memory in AGCM simulations: analysis of Global Land–Atmosphere Coupling Experiment (GLACE) data. J. Hydrometeorol. 7, 1090–1112 (2006).

    Article  Google Scholar 

  • 50.

    Geladi, P. & Kowalski, B. R. Partial least-squares regression: a tutorial. Anal. Chim. Acta 185, 1–17 (1986).

    CAS  Article  Google Scholar 

  • 51.

    Zhou, S. et al. Sources of uncertainty in modeled land carbon storage within and across three MIPs: diagnosis with three new techniques. J. Clim. 31, 2833–2851 (2018).

    Article  Google Scholar 

  • 52.

    Zhou, S. et al. Response of water use efficiency to global environmental change based on output from terrestrial biosphere models: drivers of WUE variability. Glob. Biogeochem. Cycles 31, 1639–1655 (2017).

    CAS  Article  Google Scholar 


  • Source: Resources - nature.com

    Aerosols from pollution, desert storms, and forest fires may intensify thunderstorms

    Portable device can quickly detect plant stress