Page images
PDF
EPUB

The Regional Impacts of Climate Change: An Assessment of Vulnerability

would become more serious. A sea-level rise of 1 m would threaten certain coastal areas-for example, the Japanese coastal zone, on which 50 per cent of Japan's industrial production is located (e.g., Tokyo, Osaka and Nagoya); in addition, about 90 per cent of the remaining sandy beaches in Japan would be in danger of disappearing.

Human Health: Heat-stress mortality and illness (predominantly cardiorespiratory) are projected to more than double by 2050 resulting from an increase in the frequency or severity of heat waves under climate-change conditions projected by a transient GCM (GFDL X2, UKMO X6). Net climate changerelated increases in the geographic distribution (elevation and latitude) of the vector organisms of infectious diseases (e.g., malarial mosquitoes, schistosome-spreading snails) and changes in the life-cycle dynamics of vectors and infective parasites would, in aggregate, increase the potential transmission of many vector-borne diseases. Increases in nonvector-borne infectious diseases such as cholera, salmonellosis and other food- and water-related infections-also could occur because of climatic impacts on water distribution, temperature and micro-organism proliferation. Disease surveillance could be strengthened and integrated with other environmental monitoring to design early warning systems; develop early, environmentally sound public health interventions; and develop anticipatory societal policies to reduce the risk of outbreaks and subsequent spread of epidemics.

Conclusions: The major impacts in Temperate Asia under global climate change are projected to be large shifts of the boreal forests, the disappearance of significant portions of mountain glaciers and water supply shortages. The most critical uncertainty in these estimates stems from the lack of credible projections of the hydrological cycle under global climate change scenarios. The effects of climate change on the Asian monsoon and the ENSO phenomenon are among the major uncertainties in the modeling of the hydrological cycle. Projections of agricultural crop yields are uncertain, not only because of the uncertainty in the hydrological cycle but also because of the potential positive effects of CO2 and production practices. Sea-level rise endangers sandy beaches in the coastal zones, but remains an anthropogenically induced problem in delta areas. Integrated impact studies considering multi-stress factors are needed.

[blocks in formation]

Tropical Asia is physiographically diverse and ecologically rich in natural and crop-related biodiversity. The present total population of the region is about 1.6 billion, and it is projected to increase to 2.4 billion by 2025. The population is principally rural-based, although in 1995, the region included 6 of the 25 largest cities in the world. The climate in Tropical Asia is characterized by seasonal weather patterns associated with the two monsoons and the occurrence of tropical cyclones in the three core areas of cyclogenesis (the Bay of Bengal, north Pacific Ocean and South China Sea). Climate change will add to other stresses such as rapid urbanization, industrialization

15

and economic development, which contribute to unsustainable exploitation of natural resources, increased pollution, land degradation and other environmental problems.

Ecosystems: Substantial elevational shifts of ecosystems in the mountains and uplands of Tropical Asia are projected. At high elevation, weedy species can be expected to displace tree species-though the rates of vegetation change could be slow compared to the rate of climate change and constrained by increased erosion in the Greater Himalayas. Changes in the distribution and health of rainforest and drier monsoon forest will be complex. In Thailand, for instance, the area of tropical forest could increase from 45 per cent to 80 per cent of total forest cover, whereas in Sri Lanka, a significant increase in dry forest and a decrease in wet forest could occur. Projected increases in evapotranspiration and rainfall variability are likely to have a negative impact on the viability of freshwater wetlands, resulting in shrinkage and desiccation. Sea-level rise and increases in sea-surface temperature are the most probable major climate change-related stresses on coastal ecosystems. Coral reefs may be able to keep up with the rate of sea-level rise but suffer bleaching from higher temperatures. Landward migration of mangroves and tidal wetlands is expected to be constrained by human infrastructure and human activities.

Hydrology and Water Resources: The Himalayas have a critical role in the provision of water to continental monsoon Asia. Increased temperatures and increased seasonal variability in precipitation are expected to result in increased recession of glaciers and increasing danger from glacial lake outburst floods. A reduction in average flow of snow-fed rivers, coupled with an increase in peak flows and sediment yield, would have major impacts on hydropower generation, urban water supply and agriculture. Availability of water from snow-fed rivers may increase in the short term but decrease in the long run. Runoff from rain-fed rivers may change in the future. A reduction in snowmelt water will put the dry-season flow of these rivers under more stress than is the case now. Increased population and increasing demand in the agricultural, industrial and hydropower sectors will put additional stress on water resources. Pressure on the drier river basins and those subject to low seasonal flows will be most acute. Hydrological changes in island and coastal drainage basins are expected to be relatively small in comparison to those in continental Tropical Asia, apart from those associated with sea-level rise.

Food and Fiber Production: The sensitivity of major cereal and tree crops to changes in temperature, moisture and CO2 concentration of the magnitudes projected for the region has been demonstrated in many studies. For instance, impacts on rice yield, wheat yield and sorghum yield suggest that any increase in production associated with CO2 fertilization will be more than offset by reductions in yield from temperature or moisture changes. Although climate change impacts could result in significant changes in crop yields, production, storage and distribution, the net effect of the changes regionwide is uncertain because of varietal differences; local differences in growing season, crop management, etc.; the lack of inclusion

[merged small][ocr errors][merged small][merged small][merged small][merged small]

7.

Research Needs

The gaps and deficiencies revealed in this special report suggest some priority areas for further work to help policymakers in their difficult task.

Coastal Systems: Coastal lands are particularly vulnerable; sea-
level rise is the most obvious climate-related impact. Densely
settled and intensively used low-lying coastal plains, islands
and deltas are especially vulnerable to coastal erosion and land
loss, inundation and sea flooding, upstream movement of the
saline/freshwater front and seawater intrusion into freshwater
lenses. Especially at risk are large delta regions of Bangladesh, These needs include:
Myanmar, Viet Nam and Thailand, and the low-lying areas of
Indonesia, the Philippines and Malaysia. Socio-economic
impacts could be felt in major cities and ports, tourist resorts,
artisinal and commercial fishing, coastal agriculture and infra-
structure development. International studies have projected the
displacement of several millions of people from the region's
coastal zone, assuming a 1-m rise in sea level. The costs of
response measures to reduce the impact of sea-level rise in the
region could be immense.

Human Health: The incidence and extent of some vector-borne diseases are expected to increase with global warming. Malaria, schistosomiasis and dengue-which are significant causes of mortality and morbidity in Tropical Asia are very sensitive to climate and are likely to spread into new regions on the margins of presently endemic areas as a consequence of climate change. Newly affected populations initially would experience higher fatality rates. According to one study that specifically focused on climate influences on infectious disease in presently vulnerable regions, an increase in epidemic potential of 12-27 per cent for malaria and 31-47 per cent for dengue and a decrease of schistosomiasis of 11-17 per cent are anticipated under a range of GCM scenarios as a consequence of climate change. Waterborne and water-related infectious diseases, which already account for the majority of epidemic emergencies in the region, also are expected to increase when higher temperatures and higher humidity are superimposed on existing conditions and projected increases in population, urbanization, declining water quality and other trends.

Conclusions: The potential direct effects of climate change assessed here, such as changes in water availability, crop yields and inundation of coastal areas, all will have further indirect effects on food security and human health. The suitability of adaptation strategies to different climatic environments will

[ocr errors]
[ocr errors][ocr errors]

Better baseline data, both climatic and socio-economic
Better scenarios, especially of precipitation, extreme
events, sulfate aerosol effects and regional-scale changes
Better understanding of the ecological and physio-
logical effects of increasing CO, concentrations, tak-
ing account of species competition and migrations,
soil and nutrients, acclimation, and partitioning
between crop yields, roots, stems and leaves
Dynamic models of climate, biospheric processes and
other socio-economic factors to take account of the
developing, time-varying nature of global change
Impact assessments across a range of scenarios and
assumptions to enable the assessment of risk, particu-
larly in regions comprised primarily of developing
countries and small island states, where resources for
research and assessment have been inadequate to date
Analysis of adaptation options, including the need for
development of new technologies and opportunities
for adapting existing technologies in new settings
Integrated assessments across sectors, from climate
change to economic or other costs, across countries
and regions, including adaptations, and including
other socio-economic changes.

Authors/Contributors

Robert T. Watson (USA), Marufu C. Zinyowera (Zimbabwe), Richard H. Moss (USA), Reid E. Basher (New Zealand), Martin Beniston (Switzerland), Osvaldo F. Canziani (Argentina), Sandra M. Diaz (Argentina), David J. Dokken (USA), John T. Everett (USA), B. Blair Fitzharris (New Zealand). Habiba Gitay (Australia), Bubu P. Jallow (The Gambia), Murari Lal (India), R. Shakespeare Maya (Zimbabwe), Roger F. McLean (Australia), M.Q. Mirza (Bangladesh), Ron Neilson (USA), Ian R. Noble (Australia), Leonard A. Nurse (Barbados), H.W.O. Okoth-Ogendo (Kenya), A. Barrie Pittock (Australia), David S. Shriner (USA), S.K. Sinha (India), Roger B. Street (Canada), Su Jilan

Greenhouse Forecasting Still Cloudy

An international panel has suggested that global warming has arrived, but many scientists say it will be a decade before computer models can confidently link the warming to human activities

The headlines a year and a half ago positively brimmed with assurance: "Global Warming: No Longer in Doubt," "Man Adversely Affecting Climate,, Experts Conclude," "Experts Agree Humans Have 'Discernible' Effect on Climate," "Climate Panel Is Confident of Man's Link to Warming." The official summary statement of the UNsponsored Intergovernmental Panel on Climate Change (IPCC) report that had prompted the headlines seemed reasonably confident, too: "... the balance of evidence suggests that there is a discernible human influence on global climate." But as negotiators prepare to gather in Bonn in July to discuss a climate treaty that could require nations to adopt expensive policies for limiting their emissions of carbon dioxide and other greenhouse gases, many climate experts caution that it is not at all clear yet that human activities have begun to warm the planet-or how bad greenhouse warming will be when it arrives.

What had inspired the media excitement was the IPCC's conclusion

computer climate modeling. The models are key to detecting the arrival of global warming, because they enable researchers to predict how the planet's climate should respond to increasing levels of greenhouse gases. And while predicting climate has always been an uncertain business, some scientists assert that developments since the IPCC completed its report have, if anything, magnified the uncertainties. "Global warming is definitely a threat as greenhouse-gas levels increase," says climate modeler David Rind of NASA's Goddard Institute for Space Studies (GISS) in New York City, "but I

"In the climate system, there are 14 orders of magnitude of scale, from the planetary scale-which is 40 million meters down to the scale of one of the little aerosol particles on which water vapor can change phase to a liquid [cloud particle]-which is a fraction of a millionth of a millimeter."

Of these 14 orders of magnitude, notes Schlesinger. researchers are able to include in their models only the two largest, the planetary scale and the scale of weather disturbances "To go to the third scale-which is [that of thunderstorms] down around 50kilometers resolution-we need a computer

Rough approximation. Models can't reproduce clouds, but they incorporate some cloud
effects, including those of water (white) in the atmosphere, seen in the above model output.

that the half-degree rise in global temperature since the late 19th century may bear a "fingerprint" of human activity. The patchy distribution of the warming around the globe looks much like the distinctive pattern expected if the heat-trapping gases being poured into the atmosphere were beginning to warm the planet, the report said. But IPCC scientists now say that neither the public nor many scientists appreciate how many if's, and's, and but's peppered the report. "It's unfortunate that many people read the media hype before they read the (IPCC) chapter" on the detection of greenhouse warming, says climate modeler Benjamin Santer of Lawrence Livermore National Laboratory in Livermore, California, the lead author of the chapter. "I think the caveats are there. We say quite clearly that few scientists would say the attribution issue was a done deal."

Santer and his IPCC colleagues' overriding reason for stressing the caveats is their understanding of the uncertainty inherent in

myself am not convinced that we have (gained] greater confidence" in recent years in our predictions of greenhouse warming. Says one senior climate modeler who prefers not to enter the fray publicly: "The more vou learn, the more you understand that you don't understand very much." Indeed. most modelers now agree that the climate models will not be able to link greenhouse warming unambiguously to human actions for a decade or more.

The effort to simulate climate in a computer faces two kinds of obstacles: lack of computer power and a still very incomplete picture of how real-world climate works. The climate forecasters' basic strategy is to build a mathematical model that recreates global climate processes as closely as possible, let the model run, and then test it by comparing the results to the historical climate record. But even with today's powerful supercomputers, that is a daunting challenge, says modeler Michael Schlesinger of the University of Illinois, Urbana-Champaign:

a thousand times faster, a teraflops machine that maybe we'll have in 5 years." And including the smallest scales, he says. would require 1036 to 1037 more computer power. "So we're kind of stuck."

To get unstuck, modelers "parameterize" smaller scale processes known to affect climate, from the formation of clouds to the movement of ocean eddies. Because they can't model, say, every last cloud over North America, modelers specify the temperatures and humidities that will spawn different types of clouds. If those conditions hold within a single gnd box-the horizontal square that represents the model's finest level of detail-the computer counts the entire area as cloudy. But as modelers point out. the grid used in today's models-typically a 300-kilometer square-is still very coarse. One over the state of Oregon, for instance. would take in the coastal ocean. the low coast ranges, the Willamette Valley, the high Cascades. and the desert of the Great Basin.

Having the computer power to incorporate into the models a more detailed picture of clouds wouldn't eliminate uncertainties, however, because researchers are still hotly debating the overall impact of clouds on future climate. In today's climate, the net effect of clouds is to cool the planet-although they trap some heat, they block even more by reflecting sunlight back into space. How that balance would change under greenhouse warming, no one knows. A few years ago, a

[graphic]

Model Gets It Right-Without Fudge Factors

Climate modelers have been "cheating" for so long it's almost become respectable. The problem has been that no computer model could reliably simulate the present climate. Even the best simulations of the behavior of the atmosphere, ocean, sea ice, and land surface drift off into a climate quite unlike today's as they run for centuries. So climate modelers have gotten in the habit of fiddling with fudge factors, so-called "flux adjustments," until the model gets it right.

290

289.5

No one liked this practice (Science, 9 September 1994, p. 1528). "If you can't simulate the present without arbitrary adjust ments, you have to worry," says meteorologist and modeler David Randall of Colorado State University (CSU) in Fort Collins. But now there's a promising alternative. Thirty researchers at the National Center for Atmospheric Research (NCAR) in Boulder, Colorado, have developed the first complete model that can simulate the present climate as well as other models do, but without flux adjustments. The new NCAR model, says Randall, "is an important step toward removing some of the uneasiness people have about trusting these models to make predictions of future climate" (see main text).

Surface Temperature (K)

289

288.5

the model's sensitivity to greenhouse gases near the low end of current estimates. Based on an array of different models and other considerations, the UN-sponsored Intergovemmental Panel on Climate Change estimated in 1995 that a carbon dioxide doubling could raise global temperatures by as much as 4.5°C; their best guess was 2.5°C.

A 300-year run without any increase in greenhouse gases produced slow, natural variations in global temperature of about 0.5°C. If the real climate behaves the same way, "two-thirds to three-quarters of the (temperature variations of the] last 130 years

Constant Co2 (355 ppmv)
Increasing Co, (1% year)

288

[ocr errors]

287.5

287

286.5

[blocks in formation]

The NCAR modelers built a host of refinements into their new Climate System Model (CSM). But the key development, says CSM co-chair Byron Boville, was finding a better way to incorporate the effects of ocean eddies, swirling pools of water up to a couple of hundred kilometers across that spin off strong currents. Climate researchers have long known that the eddies, like atmospheric storms, help shape climate by moving heat around the planet. But modelers have had a tough time incorporating them into their simulations because they are too small to show up on the current models' coarse geographic grid. The CSM doesn't have a finer mesh, but it does include a new "parameterization" that passes the effects of these unseen eddies onto larger model scales, using a more realistic means of mixing heat through the ocean than any earlier model did, says Boville.

50 60 70 80 90 100 110 120 130 Model Years

Drift-free. The NCAR model, which suggests that Earth will warm moderately (red), can reliably simulate present climate (blue).

Even when run for 300 model "years," the CSM doesn't drift away from a reasonably realistic climate, says NCAR's Climate and Global Dynamics director Maurice Blackmon. "Being able to do this without flux corrections gives you more credibility," he says. "For better or worse, we're not biasing the results as was necessary before."

The first results from this still vastly simplified model imply that future greenhouse warming may be milder than some other models have suggested-and could take decades to reveal itself. Doubling atmospheric carbon dioxide concentrations in the model raised the global temperature 2 degrees Celsius, which puts

leading climate model-developed at the British Meteorological Office's Hadley Center for Climate Prediction and Research, in Bracknell-predicted that an Earth with twice the preindustrial level of carbon dioxide would warm by a devastating 5.2 degrees Celsius. Then Hadley Center modelers, led by John Mitchell, made two improvements to the model's clouds-how fast precipitation fell out of different cloud types and how sunlight and radiant heat interacted with

can be explained as natural variation," says Blackmon. That would make the detection of a modest-size greenhouse warming all the more difficult.

The CSM is available on the Internet, but Blackmon warns that if you want to check out future climate scenarios, you'll "need the biggest supercomputer you can get." Indeed, even NCAR researchers haven't been able to experiment with the model on as large a computer as they would like. While their purchase of an NEC SX4 computer is tied up in a trade dispute with Japan (Science, 30 August 1996, p. 1177), they are making do with a leased Cray C-90 with perhaps 20% of the speed of the SX4. That worries some modelers. Americans have "been among the leaders of the field from the beginning," says CSU's Randall, but "if we can't get access to the most powerful machines, we are going to be left behind." -R.A.K.

clouds. The model's response to a carbon
dioxide doubling dropped from 5.2°C to a
more modest 1.9°C.

Other models of the time also had a wide
range of sensitivities to carbon dioxide,
largely due to differences in the way their
clouds behaved. That range of sensitivity has
since narrowed, says modeler and cloud spe-
cialist Robert Cess of the State University of
New York, Stony Brook, but "the [models]
may be agreeing now simply because they're

SOURCE

all tending to do the same thing wrong. It's not clear to me that we have clouds right by any stretch of the imagination."

Nor are clouds the only question mark in researchers' picture of how climate works. Modelers saw for the first time the fingerprint of global warming when they folded an additional process into the models: the effect of pollutant hazes on climate. Windblown soil and dust, particles from the combustion of fossil fuels, and ash and soot from

agricultural burning all reflect sunlightshading and cooling the surface beneath them. Including this aerosol effect in four independent climate models at three centers-Livermore, the Hadley Center, and the Max Planck Institute for Meteorology (MPI) in Hamburg, Germany-produced geographic patterns of temperature changes that resembled those observed in the real world over the past few decades, such as the greater warming of land than ocean

Fingerprinting work since then has only strengthened the confidence of IPCC's more confident scientists that greenhouse warming has arrived. "I've worked with the models enough to know they're not perfect, but we keep getting the same answer," says Tim P. Barnett, a climatologist at the Scripps Institution of Oceanography in La Jolla, California, and a co-author of the IPCC chapter. Another climatologist and IPCC contributor, Gerald North of Texas A&M University in College Station, is similarly heartened. "I'm pretty optimistic about climate modeling. I don't know anybody doing [fingerprinting] who is not finding the same result."

ing to Christopher Folland of the Hadley Center. Folland and his colleagues have been trying to sort out what was behind the intermittent warming of recent decades, which in the third quarter of the century was more rapid in the Southern than Northern Hemisphere. Earlier work by Santer and a dozen other colleagues showed an increasing resemblance between the observed pattern of warming through 1987, the end of their temperature record, and the results of a model run that incorporated aerosol effects. The researchers suggested that the North's more abundant pollutant aerosols could have been moderating the warming there from greenhouse gases. But when Folland

Crucial component. Thunderstorms like the one above help to shape climate by lofting heat and moisture.

But the assumptions about how hazes affect climate may have taken a hit recently from climatologist and modeler James Hansen of NASA's GISS-the man who told Congress in 1988 that he believed "with a high degree of confidence" that greenhouse warming had arrived. In a recent paper, Hansen and his GISS colleagues pointed out that recent measurements suggest that aerosols don't just cool; they also warm the atmosphere by absorbing sunlight. The net effect of this reflection and absorption, Hansen estimates, would be small-too small to have much effect on temperature.

Hansen and his colleagues conclude that aerosols probably do have a large effect on climate, but indirectly, through clouds. By increasing the number of droplets in a cloud, aerosols can amplify the reflectivity of clouds, and thus may have an overall cooling effect on the atmosphere. If true, this would greatly complicate the modelers' work, because meteorologists are only just starting to understand how efficiently particles of different sizes and compositions modify clouds. "I used to think of clouds as the Gordian knot of the problem." says cloud specialist V. Ramanathan of Scripps. "Now I think it's the aerosols. We are arguing about everything."

compared the results of his model run with a longer, more recent temperature record, the resemblance that had been building into the 1980s faded by the early 1990s. Contrarian Patrick Michaels of the University of Virginia, Charlottesville, also has pointed out this trend.

The Hadley model suggests that "there appears to be more than one reason" for the variations, says Folland. The waning of aerosols as pollution controls took effect probably helped the North catch up, he says, but so did natural shifts in atmospheric circulation that tended to warm the continents (Science, 7 February, p. 754). Most provocatively, Folland and his colleagues are suggesting that a shift in North Atlantic Ocean circulation that has tended to warm the region also has contributed. "There's no doubt," says Santer. "that multiple natural and anthropogenic factors can contribute, and probably have, to the interhemispheric temperature contrast. We've learned something about detection."

All of which only adds to the skepticism of scientists who might be called the "silent doubters": meteorologists and climate modelers who rarely give voice to their concerns and may not have participated even peripherally in the IPCC. "There really isn't a per

And the complications don't stop with the multiplication of aerosol effects, accord

suasive case being made" for detection of greenhouse warming, argues Brian Farrell of Harvard University, who runs models to understand climate change in the geologic past. Farrell has no quarrel with the IPCC chapter on detecting greenhouse warming, but he says the executive summary did not "convey the real uncertainties the science has." He further contends that if IPCC scientists had had real confidence in their assertion that global warming had arrived, they would have stated with more precision how sensitive the climate system is to greenhouse gases. But the IPCC left the estimate of the warming from a doubling of carbon dioxide at 1.5°C to 4.5°C. where it has been for 20 years. "That's an admission that the error bars are as big as the signal," says Farrell.

Climate modeler Max Suarez of NASA's Goddard Space Flight Center in Greenbelt, Maryland, agrees that it's "iffy" whether the match between models and temperature records is close enough to justify saying that greenhouse warming is already under way. "Especially if you're trying to explain the very small (temperature] change we've seen already," he says, "I certainly wouldn't trust the models to that level of detail yet."

Rather than dwelling on model imperfections, IPCC co-author Barnett emphasizes some of the things that current models are doing fairly well-simulating present and past climates and the changing seasons, predicting El Niño a year ahead, and producing good simulations of decades-long climate variations. But he agrees that too much confidence has been read into the IPCC summary statement. "The next 10 years will tell; we're going to have to wait that long to really see," he says. Klaus Hasselmann of the MPI also sees a need to wait. He and his colleagues "think we can see the [greenhouse warming] signal now with 97% confidence." But, as North notes, "all that assumes you knew what you were doing to start with in building the models. Hasselmann has taith in his model but recognizes that his faith is not universally shared. "The signal is not so much above the noise that you can convince skeptics," he observes. "It will take another decade or so to work up out of the noise."

That's no excuse for complacency, many climate scientists say. Basic theory, this century's warming, and geologic climate records all suggest that increasing carbon dioxide will warm the planet. "I'd be surprised if that went away," says Suarez, as would most climate researchers. North suggests that while researchers are firming up the science, policy-makers could inaugurate "some cautious things" to moderate any warming. The last thing he and his colleagues want is a rash of headlines saving the threat is over.

[graphic]

-Richard A. Kerr

« PreviousContinue »