The decision analytic framework of reducing scientific uncertainty in support of optimal decision making strategies regarding CO2 mitigation has arguably resulted in unwarranted high
confidence in future projections and relative neglect of natural climate variability and the possibility of black swans and dragon kings.
However, we still lack a quantitative understanding of the physical mechanisms leading to the suggested changes in ocean circulation, which inevitably challenges our interpretation of past and present climates and shakes
our confidence in future projections.
«Prior analyses have found that climate models underestimate the observed rate of tropical widening, leading to questions on possible model deficiencies, possible errors in the observations, and lack of
confidence in future projections,» said Robert J. Allen, an assistant professor of climatology in UC Riverside's Department of Earth Sciences, who led the study.
Not exact matches
«This quantitative attribution of human and natural climate influences on the IPWP expansion increases our
confidence in the understanding of the causes of past changes as well as for
projections of
future changes under further greenhouse warming,» commented Seung - Ki Min, a professor with POSTECH's School of Environmental Science and Engineering.
Every time this happens and we get improved matches between them, we have a little more
confidence in their
projections for the
future, and we go out and look for better tests.
This time, «there is low
confidence in future precipitation
projections at a subregional level and thus
in future freshwater availability
in most parts of Asia.»
Not to mention raising questions about the
confidence that we should place
in the IPCC's
projections of
future climate change.
from a visual perspective, «panel b» seems to inspire less
confidence in our
projections of
future warming than «panel a» does.
Overall, there is low
confidence in the
projections of specifically how climate change will impact
future precipitation on a subregional scale, and thus
in projections of how climate change might impact the availability of water resources.
Confidence in projections of
future climate change has increased.
The climate models considered on average simulate the amplitude of response to anthropogenic forcings well, increasing
confidence in their
projections of profound
future Arctic climate change.
The correct simulation of the vertical structure of RH and clouds should be a prerequisite for developing
confidence in projections for the
future.»
Scientists remain confident
in the models» long - term
future projections, and the data show their
confidence is justified.
It is assumed that a successful hindcast of temperature changes over the 20th century increases our
confidence in projections of
future warming.
«Studies linking emissions to climate change impacts provide the most stringent test available for evaluating the accuracy and
confidence of our
projections of impacts
in a
future warmer world,» says Wolfgang Cramer, Director of the Mediterranean Institute for Marine and Terrestrial Biodiversity and Ecology
in Aix - en - Provence, France.
Since the TAR, many global or regional scenarios have become available to quantify
future impacts (Christensen et al., 2002, 2007; Meehl et al., 2007), and
confidence in future climate
projections has increased recently (Naki?enovi?
They warn against interpreting the spread
in model output as the
confidence interval for
future projections.