University of Connecticut
A University of Connecticut climate scientist confirms that more
intense and more frequent severe rainstorms will likely continue as
temperatures rise due to global warming, despite some observations that seem to
suggest otherwise.
In a research paper appearing in Nature
Climate Change, UConn civil and environmental engineering professor Guiling
Wang explains that data showing the intensity of severe rainstorms declining
after temperatures reach a certain threshold are merely a reflection of climate
variability.
It is not proof that there is a fixed upper temperature limit for future increases in severe rains, after which they would begin to drop off.
It is not proof that there is a fixed upper temperature limit for future increases in severe rains, after which they would begin to drop off.
"We hope this information puts things in better perspective
and clarifies the confusion around this issue," says Wang, who led an
international team of climate experts in conducting the study. "We also
hope this will lead to a more accurate way of analyzing and describing climate
change."
Climate scientists and policymakers closely monitor severe and prolonged rainstorms as they can have a devastating impact on local environments and economies. These damaging storms can cause catastrophic flooding; overwhelm sewage treatment plants; increase the risk of waterborne disease; and wipe out valuable crops.
Current climate models show most of the world will experience
more intense and more frequent severe rainstorms for the remainder of the 21st
century, due to hotter temperatures caused by global warming.
But whether this increase in extreme precipitation will continue
beyond the end of the century, and how it will be sustained, is less clear.
Meteorological observations from weather stations around the
globe show the intensity of severe rainstorms relative to temperature is like a
curve -- steadily going up as low to medium surface temperatures increase,
peaking when temperatures hit a certain high point, then dropping off as
temperatures continue rising.
Those observations raise the prospect that damaging rainstorms
could eventually ease once surface temperatures reach a certain threshold.
However, Wang says the peaks seen in the observational data and
climate models simply reflect the natural variability of the climate. As Earth
warms, her team found, the entire curve representing the relationship between
extreme precipitation and rising temperatures is moving to the right. This is
because the threshold temperature at which rain intensity peaks also goes up as
temperature rises. Therefore, extreme rainfall will continue to increase, she
says.
The relationship between precipitation and temperature is
founded in science. Simply put, warmer air holds more moisture. Scientists can
even tell you how much.
A widely used theorem in climate science called the Clausius-Clapeyron equation dictates that for every degree the temperature goes up, there is an approximately 7 percent increase in the amount of moisture the atmosphere can hold. The intensity of extreme precipitation, which is proportional to atmospheric moisture, also increases at a scaling rate of approximately 7 percent, in the absence of moisture limitations.
A widely used theorem in climate science called the Clausius-Clapeyron equation dictates that for every degree the temperature goes up, there is an approximately 7 percent increase in the amount of moisture the atmosphere can hold. The intensity of extreme precipitation, which is proportional to atmospheric moisture, also increases at a scaling rate of approximately 7 percent, in the absence of moisture limitations.
The problem is that when scientists ran computer models
predicting the likelihood of extreme precipitation in the future, and compared
those results with both present day observations and the temperature scaling
dictated by the so-called "C-C equation," the numbers were off.
In many cases, the increase in extreme precipitation relative to surface temperature over land was closer to 2 to 5 percent, rather than 7 percent. In their analysis,
Wang's team discovered that average local surface temperatures increase much faster than the threshold temperatures for extreme precipitation, and attributed the lower scaling rate to the fact that earlier studies compared extreme precipitation with average local temperatures rather than the temperature at the time the rainstorms occurred.
In many cases, the increase in extreme precipitation relative to surface temperature over land was closer to 2 to 5 percent, rather than 7 percent. In their analysis,
Wang's team discovered that average local surface temperatures increase much faster than the threshold temperatures for extreme precipitation, and attributed the lower scaling rate to the fact that earlier studies compared extreme precipitation with average local temperatures rather than the temperature at the time the rainstorms occurred.
"There are a lot of studies where people are trying to
determine why the scaling rate is lower than 7 percent," says Wang.
"Our study suggests that this is a wrong question to ask. If you want to
relate rain intensity to temperature using the C-C relationship as a reference,
you have to relate to the temperature at which the rain event occurs, not the
mean temperature, which is the long term average."
Kevin Trenberth, an expert on global warming and the lead author
of several reports prepared by the Intergovernmental Panel on Climate Change,
joined Wang in the current study. Trenberth is currently a Distinguished Senior
Scientist in the Climate Analysis Section at the National Center for
Atmospheric Research. He shared the 2007 Nobel Peace Prize with former Vice
President Al Gore as a member of the IPCC. Trenberth explains the findings this
way:
"In general, extreme precipitation increases with higher
temperatures because the air can hold more moisture -- although that depends on
moisture availability. But beyond a certain point, it is the other way round:
the temperature responds to the precipitation, or more strictly speaking, the
conditions leading to the precipitation, [such as extensive cloud cover or
surface moisture].
"The most obvious example of this is in a drought where there is no precipitation. Another example is in cloudy, stormy conditions, when it is wet and cool. By relating the changes in precipitation to the temperature where the relationship reverses -- instead of the mean temperature as in previous studies -- we can make sense of the differences and the changes. Moreover, it means there is no limit to the changes that can occur, as otherwise might be suspected if there were a fixed relationship."
"The most obvious example of this is in a drought where there is no precipitation. Another example is in cloudy, stormy conditions, when it is wet and cool. By relating the changes in precipitation to the temperature where the relationship reverses -- instead of the mean temperature as in previous studies -- we can make sense of the differences and the changes. Moreover, it means there is no limit to the changes that can occur, as otherwise might be suspected if there were a fixed relationship."