TY - JOUR
T1 - Uncertainty quantification in climate modeling and projection
AU - Qian, Yun
AU - Jackson, Charles
AU - Giorgi, Filippo
AU - Booth, Ben
AU - Duan, Qingyun
AU - Forest, Chris
AU - Higdon, Dave
AU - Hou, Z. Jason
AU - Huerta, Gabriel
PY - 2016/5
Y1 - 2016/5
N2 - The projection of future climate is one of the most complex problems undertaken by the scientific community. With the rapid increase of complexity in Earth system models, reducing uncertainties in climate projections becomes extremely challenging. Since uncertainties always exist in climate models, interpreting the strengths and limitations of future climate projections is key to evaluating risks, and climate change information for use in vulnerability, impact, and adaptation (VIA) studies should be provided with both well-characterized and well quantified uncertainty.
AB - The projection of future climate is one of the most complex problems undertaken by the scientific community. With the rapid increase of complexity in Earth system models, reducing uncertainties in climate projections becomes extremely challenging. Since uncertainties always exist in climate models, interpreting the strengths and limitations of future climate projections is key to evaluating risks, and climate change information for use in vulnerability, impact, and adaptation (VIA) studies should be provided with both well-characterized and well quantified uncertainty.
UR - http://www.scopus.com/inward/record.url?scp=84973441935&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84973441935&partnerID=8YFLogxK
U2 - 10.1175/BAMS-D-15-00297.1
DO - 10.1175/BAMS-D-15-00297.1
M3 - Article
AN - SCOPUS:84973441935
SN - 0003-0007
VL - 97
SP - 821
EP - 824
JO - Bulletin of the American Meteorological Society
JF - Bulletin of the American Meteorological Society
IS - 5
ER -
