Climate and Global Dynamics
DivisionMost of the work in the Climate and Global Dynamics Division
(CGD) involves analysis of either observations or model-generated data or the
development and use of models. Climate
science is now trying to deal with uncertainties due to biases or inadequacies
in most, if not all, of these activities.
Our climate data sets do not extend far enough back into the
past. Some data sets are plagued by inhomogeneities due to changing data source inputs over the time of their
collection. Other data sets that
allegedly measure the same quantities show differences due to instrumental
biases or inadequate analysis techniques.
Climate models contain representations of processes that are
inadequate in some way. This leads to
model simulations that do not adequately reproduce observations in some
important aspects.
What are the consequences of these uncertainties? Some of the most important questions that we
are trying to answer either go without answer or go without a convincing
answer.
For example, there has been considerable controversy during
the past few years over whether the climate is warming or not. The data sets being used to examine this
question have all the problems mentioned above and more. In particular, the temperature record based
on standard techniques, that is, thermometers, shows warming, but a satellite
data set has not. Difficult,
painstaking work, much of it done in CGD, has resolved this discrepancy, and
now it is becoming clear that the answer is “yes,” the climate is warming.
A different uncertainty concerns the magnitude of climate
change over the next century and beyond.
Climate models developed around the world have been used to simulate the
climate change of the 21st century using a commonly assumed set of
changes in greenhouse gases and other forcing factors. The result from this activity is large
uncertainty, with the different model projections showing warming at the end of
the 21st century varying by up to 4.5°C (or about 8°F).
If this were a strictly scientific disagreement, we would
handle this uncertainty through the usual process of comparison and
debate. However, there are political
and economic implications, as well. If the
higher values of climate change are correct, we might need to take major steps
to reduce greenhouse gas emissions to reduce climate change. If the lower model estimates are more
correct, we might have more time to make decisions on what to do.
It seems to me that the present uncertainty is so large, and the economic implications so large, that a political decision will be difficult to achieve in the near future. In order to serve the national need, and indeed the world’s need, our research must be increasingly focused on reducing the uncertainty of our model projections. This will not be easy, and it will take time. However, I expect that work being done at NCAR and within CGD will be important in allowing us to provide our leaders with better information that is necessary for wise decision-making.