In last week’s article on Hurricane Sandy I stated out and
out that the storm’s strength and northerly track were mainly the effects of
climate change. Scientifically such a black and white statement should probably
have been supported with evidence and as such I have decided to review a recent
paper from the journal Nature Geoscience on
the links between climate change and tropical cyclones. Hopefully this will
serve to support the stance I made in the previous article and inform readers
who wish to explore some of the scientific evidence of a link between climate
and the intensity of hurricanes. Is it a simple relationship or a more complex
one?
The paper, titled ‘Topical Cyclones and Climate Change’ and
authored by Knutson et al, analyses
both the past correlation between climate change and tropical storm
characteristics and uses data from modelling to project the effect of climate
change on tropical cyclone intensity in the future. Sea surface temperature
(SST) has been tracked and found to have increased by several tenths of a
degree over the last few decades. The paper cites the IPCC fourth report and US
Climate Change Science program report 3.3 that states that these changes are ‘very
likely’ due to anthropogenic global warming.
When considering past data the picture painted by the study
is confused. While the rise in SST is easy to follow how this has effected
Tropical Cyclone strength is less certain due to both the suggestion of natural
climatic variability in the Atlantic (relevant for Atlantic tropical cyclone
frequency) and a number of biases in the data especially as data is more readily
available and reliable for the Atlantic Ocean compared to the Pacific. The
paper states that without adjustment for possible missing data hurricanes have increased
in frequency from the late 1800s onwards but shows no significant trend from
the 1850s to the present. In terms of intensity (measured via the power
dissipation index or PDI) it is also difficult to find an overall trend. The paper
compiles information from a number of studies as the graphs below show until
very recently there has been no rise in PDI over a prolonged period but rather
a number of short term peaks and troughs with no significant long term trend.
However when it comes to the projection of future intensity
and frequency of tropical storms (and therefore hurricanes) the paper presents
more defined conclusions. It is projected that frequency of tropical cyclones
will either remain the same or reduce on a global scale as greenhouse warming continues.
The decrease may be as much as -34% although in some individual basins there is
an error factor of +/-50% on these projections. In terms of intensity the maximum
wind speed is predicted to rise (on average) by +2 to 11% while rainfall is modelled
to increase by +20% within a 100km radius of the cyclone centre. There is an
error margin of +/-15% associated with some of the methods of modelling (usually
for individual basins).
There is still a degree of uncertainty with these figures,
especially the figures for cyclone frequency which the authors state they have ‘very
low confidence in’. However the models have been calibrated against past
observed data so at the very least the overall trends predicted by modelling
can be relied upon.
This brief summary of the paper has attempted to highlight
the relevant data and trends within the data. The conclusions that can be drawn
from it are that it is likely that climate change will cause an increase in the
intensity of tropical storms (and therefore hurricanes) but that it is not yet
certain whether it will have the same effect on frequency. Despite this these
conclusions provide a strong link between climate change and hurricanes.
Nice post! It'll be interesting to see how the link between climate change and hurricane frequency pans out, especially with all the other variables (el Niño, dust storms etc) confusing the data.
ReplyDeleteInterestingly that isn't something I've seen much of in the literature. Either I'm looking in the wrong place or no one has managed to model it reliably yet...
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