TY - JOUR
T1 - Observational constraints indicate risk of drying in the Amazon basin
AU - Shiogama, Hideo
AU - Emori, Seita
AU - Hanasaki, Naota
AU - Abe, Manabu
AU - Masutomi, Yuji
AU - Takahashi, Kiyoshi
AU - Nozawa, Toru
N1 - Funding Information:
We acknowledge the AOGCM modelling groups, the Program for Climate Model Diagnosis and Intercomparison, and the Working Group on Coupled Modelling of the World Climate Research Programme for their roles in making the multiAOGCM data set available. This work was funded by the Global Environment Research Fund (S5) of the Ministry of the Environment of Japan and by the Innovative Program of Climate Change Projection for the twentyfirst century for Scientific Research from the Ministry of Education, Culture, Sports, Science and Technology of Japan. NEC SX8R at NIES was used for the computation.
PY - 2011
Y1 - 2011
N2 - Climate warming due to human activities will be accompanied by hydrological cycle changes. Economies, societies and ecosystems in South America are vulnerable to such water resource changes. Hence, water resource impact assessments for South America, and corresponding adaptation and mitigation policies, have attracted increased attention. However, substantial uncertainties remain in the current water resource assessments that are based on multiple coupled Atmosphere Ocean General Circulation models. This uncertainty varies from significant wetting to catastrophic drying. By applying a statistical method, we characterized the uncertainty and identified global-scale metrics for measuring the reliability of water resource assessments in South America. Here, we show that, although the ensemble mean assessment suggested wetting across most of South America, the observational constraints indicate a higher probability of drying in the Amazon basin. Thus, over-reliance on the consensus of models can lead to inappropriate decision making.
AB - Climate warming due to human activities will be accompanied by hydrological cycle changes. Economies, societies and ecosystems in South America are vulnerable to such water resource changes. Hence, water resource impact assessments for South America, and corresponding adaptation and mitigation policies, have attracted increased attention. However, substantial uncertainties remain in the current water resource assessments that are based on multiple coupled Atmosphere Ocean General Circulation models. This uncertainty varies from significant wetting to catastrophic drying. By applying a statistical method, we characterized the uncertainty and identified global-scale metrics for measuring the reliability of water resource assessments in South America. Here, we show that, although the ensemble mean assessment suggested wetting across most of South America, the observational constraints indicate a higher probability of drying in the Amazon basin. Thus, over-reliance on the consensus of models can lead to inappropriate decision making.
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U2 - 10.1038/ncomms1252
DO - 10.1038/ncomms1252
M3 - Article
C2 - 21448152
AN - SCOPUS:79953237082
SN - 2041-1723
VL - 2
JO - Nature Communications
JF - Nature Communications
IS - 1
M1 - 253
ER -