Regionally strong feedbacks between the atmosphere and terrestrial biosphere

Nature Geoscience

Volumn 10, Issue 6, 2017, Pages 410-414

  Green, Julia K ^a   Konings, Alexandra G ^a,b   Alemohammad, Seyed Hamed ^a,c   Berry, Joseph ^d   Entekhabi, Dara ^c,e   Kolassa, Jana ^f,g   Lee, Jung Eun ^h   Gentine, Pierre ^a,i  

^a Department of Earth and Environmental Sciences   (United States)

^b STANFORD UNIVERSITY   (United States)

^c Massachusetts Institute of Technology   (United States)

^d GEOPHYSICAL LABORATORY   (United States)

^e MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^f UNIVERSITIES SPACE RESEARCH ASSOCIATION   (United States)

^g NASA GODDARD SPACE FLIGHT CENTER   (United States)

^h BROWN UNIVERSITY   (United States)

ⁱ NONE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERE-BIOSPHERE INTERACTION; BOUNDARY LAYER; CARBON DIOXIDE; CONVECTION; EVAPOTRANSPIRATION; PHENOLOGY; PRECIPITATION INTENSITY; SEMIARID REGION; SENSIBLE HEAT FLUX; WATER AVAILABILITY;

EID: 85020221281     PISSN: 17520894     EISSN: 17520908     Source Type: Journal    
DOI: 10.1038/ngeo2957     Document Type: Article

References (58)

1. Bateni, S. M., Entekhabi, D. Relative eficiency of land surface energy balance components.Wat. Resour. Res. 48, 1-8 (2012).
2. Koster, R. D., Suarez, M. J., Heiser, M. Variance and predictability of precipitation at seasonal-to-interannual timescales. J. Hydrometeorol. 1, 26-46 (2000).
3. van den Hurk, B. J. J. M., Viterbo, P., Los, S. O. Impact of leaf area index seasonality on the annual land surface evaporation in a global circulation model. J. Geophys. Res. 108, 5.1-5.9 (2003).
4. Guo, Z., Dirmeyer, P. A., Delsole, T., Koster, R. D. Rebound in atmospheric predictability and the role of the land surface. J. Clim. 25, 4744-4749 (2012).
5. Koster, R. D., et al. The second phase of the global land atmosphere coupling experiment: Soil moisture contributions to subseasonal forecast skill. J. Hydrometeorol. 12, 805-822 (2011).
6. Zeng, N., Neelin, J., Lau, K., Tucker, C. Enhancement of interdecadal climate variability in the Sahel by vegetation interaction. Science 286, 1537-1540 (1999).
7. Poulter, B., et al. Contribution of semi-arid ecosystems to interannual variability of the global carbon cycle. Nature 509, 600-603 (2014).
8. Koster, R. D., et al. On the nature of soil moisture in land surface models. J. Clim. 22, 4322-4335 (2009).
9. Porcar-Castell, A., et al. Linking chlorophyll a fluorescence to photosynthesis for remote sensing applications: Mechanisms and challenges. J. Exp. Bot. 65, 4065-4095 (2014).
10. Guanter, L., et al. Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence. Proc. Natl Acad. Sci. USA 111, E1327-E1333 (2014).
11. Zhang, Y., et al. Remote sensing of environment consistency between sun-induced chlorophyll fluorescence and gross primary production of vegetation in North America. Remote Sens. Environ. 183, 154-169 (2016).
12. Frankenberg, C., et al. New global observations of the terrestrial carbon cycle from GOSAT: Patterns of plant fluorescence with gross primary productivity. Geophys. Res. Lett. 38, L17706 (2011).
13. Frankenberg, C., O'Dell, C., Guanter, L., McDu e, J. Remote sensing of near-infrared chlorophyll fluorescence from space in scattering atmospheres: Implications for its retrieval and interferences with atmospheric CO2 retrievals. Atmos. Meas. Tech. 5, 2081-2094 (2012).
14. Wood, J. D., et al. Multiscale analyses of solar-induced florescence and gross primary production. Geophys. Res. Lett. 44, 533-541 (2017).
15. Schlesinger, W. H., Jasechko, S. Transpiration in the global water cycle. Agric. For. Meteorol. 189-190, 115-117 (2014).
16. Ahlström, A., et al. The dominant role of semi-arid ecosystems in the trend and variability of the land CO2 sink. Science 348, 895-899 (2015).
17. Beer, C., et al. Terrestrial gross carbon dioxide uptake: Global distribution and covariation with climate. Science 329, 834-838 (2010).
18. Nemani, R. R. Climate-driven increases in global terrestrial net primary production from 1982 to 1999. Science 300, 1560-1563 (2003).
19. Sugihara, G., et al. Detecting causality in complex ecosystems. Science 338, 496-500 (2012).
20. Tuttle, S., Salvucci, G. Empirical evidence of contrasting soil moisture precipitation feedbacks across the United States. Science 352, 825-828 (2016).
21. Barnett, L., Seth, A. K. The MVGC multivariate Granger causality toolbox: A new approach to Granger-causal inference. J. Neurosci. Methods 223, 50-68 (2014).
22. Joiner, J., et al. Global monitoring of terrestrial chlorophyll fluorescence from moderate spectral resolution near-infrared satellite measurements: Methodology, simulations, application to GOME-2. Atmos. Meas. Tech. Discuss. 6, 3883-3930 (2013).
23. Human, G. J., et al. Global precipitation at one-degree daily resolution from multisatellite observations. J. Hydrometeorol. 2, 36-50 (2001).
24. Wielicki, B. A., et al. Clouds and the Earth's radiant energy system (CERES): An Earth observing system experiment. Bull. Amer. Meteorol. Soc. 77, 853-868 (1996).
25. Dee, D. P., et al. The ERA-Interim reanalysis: Configuration and performance of the data assimilation system. Q. J. R. Meteorol. Soc. 137, 553-597 (2011).
26. Still, C. J., Berry, J. A., Collatz, G. J., DeFries, R. S. Global distribution of C3 and C4 vegetation: Carbon cycle implications. Glob. Biogeochem. Cycles 17, 6-1-6-14 (2003).
27. Ghannoum, O. C4 photosynthesis and water stress. Ann. Bot. 103, 635-644 (2009).
28. Guillod, B. P., et al. Reconciling spatial and temporal soil moisture effects on afternoon rainfall. Nat. Commun. 6, 6443 (2015).
29. Charney, J. G. Dynamics of deserts and drought in the Sahel. Q. J. R. Meteorol. Soc. 101, 193-202 (1975).
30. Anber, U., Gentine, P., Wang, S., Sobel, A. H. Fog and rain in the Amazon. Proc. Natl Acad. Sci. USA 112, 11473-11477 (2015).
31. Brando, P. M., et al. Seasonal and interannual variability of climate and vegetation indices across the Amazon. Proc. Natl Acad. Sci. USA 107, 14685-14690 (2010).
32. Seneviratne, S. I., et al. Investigating soil moisture climate interactions in a changing climate: A review. Earth Sci. Rev. 99, 125-161 (2010).
33. Seneviratne, S. I., Lüthi, D., Litschi, M., Schär, C. Land atmosphere coupling and climate change in Europe. Nature 443, 205-209 (2006).
34. Dirmeyer, P. A. The terrestrial segment of soil moisture climate coupling. Geophys. Res. Lett. 38, L16702 (2011).
35. Koster, R. D., Suarez, M. J. Impact of land surface initialization on seasonal precipitation and temperature prediction. J. Hydrometeorol. 4, 408-423 (2003).
36. Koster, R. D., et al. GLACE: The global land atmosphere coupling experiment. Part I: Overview. J. Hydrometeorol. 7, 611-625 (2006).
37. Findell, K. L., Gentine, P., Lintner, B. R., Kerr, C. Probability of afternoon precipitation in eastern United States and Mexico enhanced by high evaporation. Nat. Geosci. 4, 434-439 (2011).
38. Storer, R. L., Zhang, G. J., Song, X. Effects of convective microphysics parameterization on large-scale cloud hydrological cycle and radiative budget in tropical and midlatitude convective regions. J. Clim. 28, 9277-9297 (2015).
39. Levine, N. M., et al. Ecosystem heterogeneity determines the ecological resilience of the Amazon to climate change. Proc. Natl Acad. Sci. USA 113, 793-797 (2015).
40. Findell, K. L., Gentine, P., Lintner, B. R., Guillod, B. P. Data length requirements for observational estimates of land atmosphere coupling strength. J. Hydrometeorol. 16, 1615-1635 (2015).
41. Zhou, S., Duursma, R. A., Medlyn, B. E., Kelly, J.W. G., Prentice, I. C. How should we model plant responses to drought? An analysis of stomatal and non-stomatal responses to water stress. Agric. For. Meteorol. 182-183, 204-214 (2013).
42. Bony, S., et al. Clouds, circulation and climate sensitivity. Nat. Geosci. 8, 261-268 (2015).
43. Zhao, M., et al. Uncertainty in model climate sensitivity traced to representations of cumulus precipitation microphysics. J. Clim. 29, 543-560 (2016).
44. Koelemeijer, R. B. A., Stammes, P., Hovenier, J.W., de Haan, J. F. A fast method for retrieval of cloud parameters using oxygen A band measurements from the Global Ozone Monitoring Experiment. J. Geophys. Res. 106, 3475-3490 (2001).
45. Stammes, P., et al. Effective cloud fractions from the ozone monitoring instrument: Theoretical framework and validation. J. Geophys. Res. 113, 1-12 (2008).
46. Joiner, J., et al. The seasonal cycle of satellite chlorophyll fluorescence observations and its relationship to vegetation phenology and ecosystem atmosphere carbon exchange. Remote Sens. Environ. 152, 375-391 (2014).
47. Joiner, J., et al. Filling-in of near-infrared solar lines by terrestrial fluorescence and other geophysical effects: Simulations and space-based observations from SCIAMACHY and GOSAT. Atmos. Meas. Tech. 5, 809-829 (2012).
48. Lee, J., et al. Forest productivity and water stress in Amazonia: Observations from GOSAT chlorophyll fluorescence Forest productivity and water stress in Amazonia: Observations from GOSAT chlorophyll fluorescence. Proc. R. Soc. B 280, 20130171 (2013).
49. Duveiller, G., Cescatti, A. Spatially downscaling sun-induced chlorophyll fluorescence leads to an improved temporal correlation with gross primary productivity. Remote Sens. Environ. 182, 72-89 (2016).
50. Guanter, L., et al. Retrieval and global assessment of terrestrial chlorophyll fluorescence from GOSAT space measurements. Remote Sens. Environ. 121, 236-251 (2012).
51. Guanter, L., et al. Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence. Proc. Natl Acad. Sci. USA 111, E1327-E1333 (2014).
52. Yang, X., Tang, J., Mustard, J. F., Lee, J., Rossini, M. Solar-induced chlorophyll fluorescence correlates with canopy photosynthesis on diurnal and seasonal scales in a temperate deciduous forest. Geophys. Res. Lett. 42, 2977-2987 (2015).
53. Anav, A., et al. Spatiotemporal patterns of terrestrial gross primary production: A review. Rev. Geophys. 53, 785-818 (2015).
54. Jung, M., et al. Global patterns of land atmosphere fluxes of carbon dioxide, latent heat, sensible heat derived from eddy covariance, satellite, meteorological observations. J. Geophys. Res. 116, G00J07 (2011).
55. Xu, L., et al. Satellite observation of tropical forest seasonality: Spatial patterns of carbon exchange in Amazonia. Environ. Res. Lett. 10, 84005 (2015).
56. Parazoo, N. C., et al. Interpreting seasonal changes in the carbon balance of southern Amazonia using measurements of XCO2 and chlorophyll fluorescence from GOSAT. Geophys. Res. Lett. 40, 2829-2833 (2013).
57. Granger, C.W. J. Testing for causality. A personal viewpoint. J. Econ. Dyn. Control 2, 329-352 (1980).
58. Taylor, K. E., Stouffer, R. J., Meehl, G. A. An overview of CMIP5 and the experiment design. Bull. Am. Meteorol. Soc. 93, 485-498 (2012).