4.8 Article

Fog and rain in the Amazon

出版社

NATL ACAD SCIENCES
DOI: 10.1073/pnas.1505077112

关键词

land-atmosphere interactions; Amazon; hydrologic cycle; fog; cloud-resolving models

资金

  1. Department of Energy GoAmazon [DE-SC0011094, DE-FOA-0000885]
  2. National Science Foundation [AGS-1008847]
  3. Office of Naval Research under MURI [N00014-12-1-0911]
  4. U.S. Department of Energy (DOE) [DE-SC0011094] Funding Source: U.S. Department of Energy (DOE)
  5. Directorate For Geosciences
  6. Div Atmospheric & Geospace Sciences [1008847] Funding Source: National Science Foundation

向作者/读者索取更多资源

The diurnal and seasonal water cycles in the Amazon remain poorly simulated in general circulation models, exhibiting peak evapotranspiration in the wrong season and rain too early in the day. We show that those biases are not present in cloud-resolving simulations with parameterized large-scale circulation. The difference is attributed to the representation of the morning fog layer, and to more accurate characterization of convection and its coupling with large-scale circulation. The morning fog layer, present in the wet season but absent in the dry season, dramatically increases cloud albedo, which reduces evapotranspiration through its modulation of the surface energy budget. These results highlight the importance of the coupling between the energy and hydrological cycles and the key role of cloud albedo feedback for climates over tropical continents.

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