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The real holes in climate science
Like any other field, research on climate change has some fundamental gaps, although not the ones typically claimed by sceptics. Quirin Schiermeier takes a hard look at some of the biggest problem areas.
The e-mails leaked from the University of East Anglia's Climatic Research Unit (CRU) in November presented an early Christmas present to climate-change denialists. Amid the more than 1,000 messages were several controversial comments that — taken out of context — seemingly indicate that climate scientists have been hiding a mound of dirty laundry from the public.
A fuller reading of the e-mails from CRU in Norwich, UK, does show a sobering amount of rude behaviour and verbal faux pas, but nothing that challenges the scientific consensus of climate change. Still, the incident provides a good opportunity to point out that — as in any active field of inquiry — there are some major gaps in the understanding of climate science. In its most recent report in 2007, the Intergovernmental Panel on Climate Change (IPCC) highlighted 54 'key uncertainties' that complicate climate science.
Such a declaration of unresolved problems could hardly be called 'hidden'. And some of these — such as uncertainties in measurements of past temperatures — have received considerable discussion in the media. But other gaps in the science are less well known beyond the field's circle of specialists. Such holes do not undermine the fundamental conclusion that humans are warming the climate, which is based on the extreme rate of the twentieth-century temperature changes and the inability of climate models to simulate such warming without including the role of greenhouse-gas pollution. The uncertainties do, however, hamper efforts to plan for the future. And unlike the myths regularly trotted out by climate-change denialists (see 'Enduring climate myths'), some of the outstanding problems may mean that future changes could be worse than currently projected.
Researchers say it is difficult to talk openly about holes in understanding. "Of course there are gaps in our knowledge about Earth's climate system and its components, and yes, nothing has been made clear enough to the public," says Gavin Schmidt, a climate modeller at NASA's Goddard Institute for Space Studies in New York and one of the moderators and contributors to the influential RealClimate blog. "But this climate of suspicion we're working in is insane. It's really drowning our ability to soberly communicate gaps in our science when some people cry 'fraud' and 'misconduct' for the slightest reasons."
Nature has singled out four areas — regional climate forecasts, precipitation forecasts, aerosols and palaeoclimate data — that some say deserve greater open discussion, both within scientific circles and in the public sphere.
Regional climate prediction
The sad truth of climate science is that the most crucial information is the least reliable. To plan for the future, people need to know how their local conditions will change, not how the average global temperature will climb. Yet researchers are still struggling to develop tools to accurately forecast climate changes for the twenty-first century at the local and regional level.
The basic tools used to simulate Earth's climate are general circulation models (GCMs), which represent physical processes in the global atmosphere, oceans, ice sheets and on the land's surface. Such models generally have a resolution of about 1–3° in latitude and longitude — too coarse to offer much guidance to people. So climate scientists simulate regional changes by zooming in on global models — using the same equations, but solving them for a much larger number of grid points in particular locations.
However, increasing the resolution in this way can lead to problems. Zooming in from GCMs bears the risk of blowing up any inherent weakness of the 'mother' model. If the model does a poor job of simulating certain atmospheric patterns, those errors will be compounded at the regional level. Most experts are therefore cautious when asked to make regional predictions.
"Our current climate models are just not up to informed decision-making at the resolution of most countries," says Leonard Smith, a statistician and climate analyst at the London School of Economics and Political Science.
"You need to be very circumspect about the added value of downscaling to regional impacts," agrees Hans von Storch, a climate modeller at the GKSS Institute for Coastal Research in Geesthacht, Germany, who has recently contributed to a regional climate assessment of the Hamburg metropolitan region. If the simulations project future changes in line with the trends already observed, von Storch has more confidence in them. But if researchers run the same model, or an ensemble of models, multiple times and the results diverge from each other or from the observed trends, he cautions, "planners should handle them with kid gloves. Whenever possible, they'd rather wait with spending big money on adaptation projects until there is more certainty about the things to come."
Downscaled climate models face particular uncertainty problems dealing in regions with complex topography, such as where mountains form a wall between two climatically different plains. Another potential source of error comes from projections concerning future greenhouse-gas emissions, which vary depending on assumptions about economic developments.
All the problems, however, do not make regional simulations worthless, as long as their limitations are understood. They are already being used by planners at the local and national levels (see graphs, right). Simulations remain an important tool for understanding processes, such as changes in river flow, that global models just cannot resolve, says Jonathan Overpeck, a climate researcher at the University of Arizona in Tucson. Overpeck is part of a research team that is using statistical techniques to narrow down divergent model projections of how much average water flow in the Colorado River will decrease by 2050. Researchers hope that by improving how they simulate climate variables such as cloud coverage and sea surface temperatures, they will further reduce the uncertainties in regional forecasts, making them even more useful for policy-makers.
Precipitation
Rising global temperatures over the next few decades are likely to increase evaporation and accelerate the global hydrological cycle — a change that will dry subtropical areas and increase precipitation at higher latitudes. These trends are already being observed and almost all climate models used to simulate global warming show a continuation of this general pattern1.
Unfortunately, when it comes to precipitation, that is about all the models agree on. The different simulations used by the IPCC in its 2007 assessment offer wildly diverging pictures of snow and rainfall in the future (see graphic, right). The situation is particularly bad for winter precipitation, generally the most important in replenishing water supplies. The IPCC simulations failed to provide any robust projection of how winter precipitation will change at the end of the current century for large parts of all continents2.
Even worse, climate models seemingly underestimate how much precipitation has changed already — further reducing confidence in their ability to project future changes. A 2007 study3, published too late to be included into the last IPCC report, found that precipitation changes in the twentieth century bore the clear imprint of human influence, including drying in the Northern Hemisphere tropics and subtropics. But the actual changes were larger than estimated from models — a finding that concerns researchers.
"If the models do systematically underestimate precipitation changes that would be bad news", because the existing forecasts would already cause substantial problems, says Gabriele Hegerl, a climate-system scientist at the University of Edinburgh, UK, and a co-author on the paper. "This is, alas, a very significant uncertainty," she says.
Climate scientists think that a main weakness of their models is their limited ability to simulate vertical air movement, such as convection in the tropics that lifts humid air into the atmosphere. The same problem can trip up the models for areas near steep mountain ranges. The simulations may also lose accuracy because scientists do not completely understand how natural and anthropogenic aerosol particles in the atmosphere influence clouds. Data on past precipitation patterns around the globe could help modellers to solve some of these issues, but such measurements are scant in many areas. "We really don't know natural variability that well, particularly in the tropics," says Hegerl.
The uncertainties about future precipitation make it difficult for decision-makers to plan, particularly in arid regions such as the Sahel in Africa and southwestern North America. 'Mega-droughts' lasting several decades have struck these areas in the past and are expected to happen again. But the models in use today do a poor job of simulating such long-lasting droughts. "That's pretty worrying," says Overpeck.
Increasing the resolution of models will not be enough to resolve the convective processes that lead to precipitation. To forecast precipitation more accurately, researchers are trying, among other things, to improve the simulation of key climate variables such as the formation and dynamics of clouds. Furthermore, high-resolution satellite observations are increasingly being used to validate and improve model realism.
Aerosols
Atmospheric aerosols — airborne liquid or solid particles — are a source of great uncertainty in climate science. Despite decades of intense research, scientists must still resort to using huge error bars when assessing how particles such as sulphates, black carbon, sea salt and dust affect temperature and rainfall.
Overall, it is thought that aerosols cool climate by blocking sunlight, but the estimates of this effect vary by an order of magnitude, with the top end exceeding the warming power of all the carbon dioxide added to the atmosphere by humans.
One of the biggest problems is lack of data. "We don't know what's in the air," says Schmidt. "This means a major uncertainty over key processes driving past and future climate."
To measure aerosols in the sky, satellite and ground-based sensors detect the scattering and absorption of solar radiation. But researchers lack enough of this kind of data to complete a picture of aerosols across the globe. And a complex set of coordinated experiments is required to determine how aerosols alter climate processes.
Some aerosols, such as black carbon, absorb sunlight and produce a warming effect that might also inhibit rainfall. Other particles such as sulphates exert a cooling influence by reflecting sunlight. The net effect of aerosol pollution on global temperature is not well established. And various studies have produced conflicting conclusions over whether global aerosol pollution is increasing or decreasing.
The relationship between aerosols and clouds adds another layer of complication. Before a cloud can produce rain or snow, rain drops or ice particles must form and aerosols often serve as the nuclei for condensation. But although some aerosols enhance cloudiness, others seem to reduce it. Aerosols could also have a tremendous impact on temperatures by altering the formation and lifetime of low-level clouds, which reflect sunlight and cool the planet's surface.
Scientists have yet to untangle the interplay between pollution, clouds, precipitation and temperature. However, NASA's Glory satellite, an aerosol and solar-irradiance monitoring mission scheduled for launch in October, will provide some greatly anticipated data. Still, atmospheric researchers say that ground-based sensors capable of determining the abundance and composition of aerosols in the atmosphere are needed just as much.
The tree-ring controversy
Many of the e-mails leaked from the CRU computers came from a particular group of climate researchers who work on reconstructing temperature variations over time. The e-mails revealed them discussing some of the uncertainties in centuries worth of climate information gleaned from tree rings and other sources.
Records of thermometer measurements over the past 150 years show a sharp temperature rise during recent decades that cannot be explained by any natural pattern. It is most likely to have been caused by anthropogenic greenhouse-gas emissions. But reliable thermometer records from before 1850 are scarce and researchers must find other ways to reveal earlier temperature trends.
Palaeoclimatology relies on records culled from sources such as tree rings, coral reefs, lake sediments, stalagmites, glacial movements and historical accounts. As trees grow, for example, they develop annual rings whose thickness reflects temperature and rainfall. Proxies such as these provide most knowledge of past climate fluctuations, such as the Medieval Warm Period from about 800 to 1300 and the Little Ice Age, centred on the year 1700.
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