The warming effect of human-induced
greenhouse gases is a given, but to what extent can we predict its
future influence? That is an issue on which science is making progress,
but the answers are still far from exact, say researchers from the
Hebrew University of Jerusalem, the US and Australia who have studied
the issue and whose work which has just appeared in the journal Science.
Indeed, one could say that the picture is a “cloudy” one, since the
determination of the greenhouse gas effect involves multifaceted
interactions with cloud cover.
To some extent, aerosols – particles that
float in the air caused by dust or pollution, including greenhouse gases
– counteract part of the harming effects of climate warming by
increasing the amount of sunlight reflected from clouds back into space.
However, the ways in which these aerosols affect climate through their
interaction with clouds are complex and incompletely captured by climate
models, say the researchers. As a result, the radiative forcing (that
is, the disturbance to the earth’s “energy budget” from the sun) caused
by human activities is highly uncertain, making it difficult to predict
the extent of global warming.
And while advances have led to a more
detailed understanding of aerosol-cloud interactions and their effects
on climate, further progress is hampered by limited observational
capabilities and coarse climate models, says Prof. Daniel Rosenfeld of
the Fredy and Nadine Herrmann Institute of Earth Sciences at the Hebrew
University of Jerusalem, author of the article in Science. Rosenfeld
wrote this article in cooperation with Dr. Steven Sherwood of the
University of New South Wales, Sydney, Dr. Robert Wood of the University
of Washington, Seattle, and Dr. Leo Donner of the US National Oceanic
and Atmospheric Administration. .
Their recent studies have revealed a much
more complicated picture of aerosol-cloud interactions than considered
previously. Depending on the meteorological circumstances, aerosols can
have dramatic effects of either increasing or decreasing the cloud
sun-deflecting effect, the researchers say. Furthermore, little is known
about the unperturbed aerosol level that existed in the preindustrial
era. This reference level is very important for estimating the radiative
forcing from aerosols.
Also needing further clarification is the
response of the cloud cover and organization to the loss of water by
rainfall. Understanding of the formation of ice and its interactions
with liquid droplets is even more limited, mainly due to poor ability to
measure the ice-nucleating activity of aerosols and the subsequent
ice-forming processes in clouds.
Explicit computer simulations of these
processes even at the scale of a whole cloud or multi-cloud system, let
alone that of the planet, require hundreds of hours on the most powerful
computers available. Therefore, a sufficiently accurate simulation of
these processes at a global scale is still impractical.
Recently, however, researchers have been
able to create groundbreaking simulations in which models were
formulated presenting simplified schemes of cloud-aerosol interactions,
This approach offers the potential for model runs that resolve clouds on
a global scale for time scales up to several years, but climate
simulations on a scale of a century are still not feasible. The model is
also too coarse to resolve many of the fundamental aerosol-cloud
processes at the scales on which they actually occur. Improved
observational tests are essential for validating the results of
simulations and ensuring that modeling developments are on the right
track, say the researchers.
While it is unfortunate that further
progress on understanding aerosol-cloud interactions and their effects
on climate is limited by inadequate observational tools and models,
achieving the required improvement in observations and simulations is
within technological reach, the researchers emphasize, provided that the
financial resources are invested. The level of effort, they say, should
match the socioeconomic importance of what the results could provide:
lower uncertainty in measuring man-made climate forcing and better
understanding and predictions of future impacts of aerosols on our
weather and climate.
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