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Modeling interannual variability of the Amazon hydroclimate
Author(s) -
Medvigy D.,
Walko R. L.,
Avissar R.
Publication year - 2008
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1029/2008gl034941
Subject(s) - amazon rainforest , climatology , teleconnection , el niño southern oscillation , multivariate enso index , climate model , anomaly (physics) , precipitation , environmental science , geology , la niña , climate change , meteorology , geography , oceanography , ecology , biology , physics , condensed matter physics
El Niño/Southern Oscillation (ENSO) strongly influences the interannual variability of Amazon hydroclimate. But current global climate models are unable to represent the associated variability, raising the question of their aptitude to simulate current and changing climate in that region. We explore this critical issue with the Ocean‐Land‐Atmosphere Model (OLAM), a new Earth System Model (ESM) capable of simulating regions like mountain ranges at high resolution while efficiently simulating the rest of the world at coarser resolution. We find that simulations representing the Andes at resolutions coarser than 100 km lead to a ‘reverse’ ENSO effect, with large precipitation rates in the Amazon during ENSO events. In contrast, the model correctly simulates the ENSO dry anomaly provided the Andes are simulated at resolutions finer than 100 km. Furthermore, we find that the grid mesh over the Andes has important implications for ENSO teleconnections, especially over the continents.