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Updated 24 January 2006

Climate Variability
and Change
USGCRP Fiscal Year 2003 Accomplishments

 

 

USGCRP
Program Elements

Atmospheric Composition

Ecosystems

Global Carbon Cycle

Decision-Support Resources Development and Related Research on Human Contributions and Responses

Climate Variability and Change

Global
Water Cycle

Observed Arctic warming trend over the last 20 years:

Observations of Arctic-wide surface temperatures using satellite data have shown that over the period 1981-2001, the Arctic region warmed at an annual average rate of 0.3°C per decade over sea ice (considering those portions of the Arctic Ocean where 80% of ocean surface is covered by ice), 0.5°C per decade over the high latitude (poleward of 60 degrees North) region of Eurasia, and 1.0°C over the high latitude region of North America. Temperature trends derived from surface data are similar over much of the Arctic, but differ in some sub-regions. In comparison, during the last 20 years the global annual average surface temperature has increased by about 0.2°C per decade. At the high northern latitudes, the warming trends are more pronounced in the spring and are also evident in summer and fall, resulting in a longer melt season for snow and ice on land and for annual sea ice.

Satellite data also show that the portion of the Arctic Ocean covered by perennial sea ice has declined by about 9% per decade since 1978. The longer melt season and loss of perennial sea ice cover can have large-scale climate consequences. They permit an increase in the amount of energy absorbed in the previously ice- or snow-covered areas and, on land, permit increased growth of vegetation that also has a lower a (lower light reflectivity) than snow covered areas.

Climate models project that the high latitude regions are particularly sensitive to climate change because of the positive albedo feedback effects associated with reduction of ice and snow cover, and the reduction of thermal insulation of the ocean that sea ice cover provides, allowing increased heat transfer from the ocean to the atmosphere. However, there is as yet no direct evidence that greenhouse gas forcing, which drives the climate models, is responsible for the melting of sea ice and snow cover in the Arctic region.

The data also show regional differences that suggest there are other influences in addition to global-scale climate warming. A natural weather pattern called the North Atlantic Oscillation/Northern Annular Mode (NAO/NAM) may have contributed to regional variations as well as the overall decrease in Arctic sea ice cover over the last 20 years. Whether the ice cover as a whole will continue to exhibit the decreases that it experienced over the 1979 to 2003 period might depend on the strength and phase of the NAO/NAM, as well as on long-term trends in the climate system. (See Figures 8a and 8b)

Figure 8a: Arctic sea ice cover, 1979.

Arctic sea ice cover, 1979.

Figure 8b: Arctic sea ice cover 2003.

Arctic sea ice cover 2003.

Between 1979 and 2003, Arctic perennial sea ice has been decreasing at a rate of 9% per decade. The image in Figure 8a shows the minimum sea ice concentration for the year 1979, and the image in Figure 8b shows the minimum sea ice concentration in 2003. The data used to create these images were collected by the Defense Meteorological Satellite Program (DMSP).

Credit: NASA Goddard Space Flight Center.

Increasing ocean heat storage:

Simulations with an improved version of the NASA/GISS Global Climate Model indicate that the rate of heat storage by the world’s oceans has increased from about 0.2 watts/m2 in 1951 to a present value of about 0.7 watts/m2 net downward flux (convergence) of heat into the ocean surface. This is the third independent climate model to produce such an increase, and compares well with observational analyses of changes in ocean heat storage. Since the ocean stores a large portion of the excess heat due to the imbalance of the radiation budget of the Earth’s climate system, this work indicates that careful monitoring of the global distribution of ocean heat storage will be a key indicator for identifying changes in the climate system.

Change in the freshwater balance of the Atlantic Ocean:

The distribution of salinity in the Atlantic Ocean has been sampled over a broad area during the last half-century. These historical data can be used to diagnose rates of surface freshwater fluxes, freshwater transport, and local ocean mixing — important components of climate. Recent research comparing observed salinities on a long transect through the western basins of the Atlantic Ocean between the 1950s and the 1990s found systematic increases in freshwater at high latitudes (at both poleward ends), contrasted with large increases of salinity at low latitudes. Although the observational record is insufficient to quantify a number of factors that may have contributed to these long-term trends, a growing body of evidence suggests that shifts in the oceanic distribution of fresh and saline waters are occurring in ways that may be linked to global warming and possible change in the global water cycle. Parallel changes in ocean salinity and temperature are occurring in other oceans as well.

20th Century global sea-level rise:

The rate and causes of 20th century global sea-level rise are subjects of intense debate. Direct observations, based on tide gauge records suggest that the rate of sea-level rise is between 1.5 and 2.0 mm/year (0.6 to 0.8 inches/decade). The two largest contributors to sea-level rise are thought to be volume changes due to ocean warming (thermal expansion) and the addition of mass due to the melting of polar ice sheets, although the magnitudes of these contributions are not well known. Scientists at NOAA’s Laboratory for Satellite Altimetry analyzed tide gauge records, which reflect both volume and mass changes, and ocean temperature and salinity data, which reflect only volume changes, in the North Pacific and North Atlantic Oceans. They found that measurements of sea-level rise from tide gauges are 2-to-3 times higher than those from temperature and salinity measured regionally and near gauge sites. The data support earlier estimates of the 20th century rate of sea-level rise and, more importantly, also provide the first evidence suggesting that addition of mass due to the melting of polar ice sheets can play an important, perhaps dominant, role in sea-level rise.

Simulating 20th century climate:

Multiple ensemble simulations of the 20th century climate have been conducted using climate models that include new and improved estimates of natural and anthropogenic forcing. The simulations show that observed globally averaged surface air temperatures can be replicated only when both anthropogenic forcings, e.g., greenhouse gases, as well as natural forcings such as solar variability and volcanic eruptions are included in the model. These simulations improve on the robustness of earlier work. Comparisons of the model results with observations indicate that regionally concentrated increases in precipitation can occur as a function of variability in solar forcing. (See Figure 9)

Figure 9: Climate model simulations of the Earth’s temperature variations compared with observed changes.

Climate model simulations of the Earth’s temperature variations compared with observed changes.  Ensemble simulations were run with the global fully-coupled DOE Parallel Climate Model (PCM) employing five forcing agents that influence the time evolution of globally averaged surface air temperature during the 20th century. Two of the forcings are natural (volcanoes and solar) and the others are anthropogenic (greenhouse gases, ozone [stratospheric and tropospheric], and direct effect of sulfate aerosols). The figure shows Global Average Temperature, relative to the 1890-1919 mean, over the time period 1890-1999. The black line shows observed temperature; the blue line shows ensemble mean temperature based on simulations using natural forcings only; and the red line shows ensemble mean temperature based on simulations using both natural and anthropogenic forcings. The shadings denote the ensemble ranges.

Credit: Meehl, G.A., et al., 2004: Combinations of natural and anthropogenic forcings and 20th century climate. J. Climate, in press. Observed temperature data (black line) from Folland, C.K., et al., Geophys. Res. Lett. 28, 2621-2624.

Detecting a human influence on North American climate:

A recent study shows that the average global results reported above also pertain over the North American region. Several indices of large-scale patterns of surface temperature variation were used to investigate climate change in North America over the 20th century. The observed variability of these indices was simulated well by several climate models. Comparison of index trends in observations and model simulations shows that North American temperature changes from 1950 to 1999 were unlikely to be due only to natural climate variations. Observed trends over this period are consistent with simulations that include anthropogenic forcing from increasing atmospheric greenhouse gases and sulfate aerosols. However, most of the observed warming from 1900 to 1949 was likely due to natural climate variation.

Long-term drought reconstructions for North America:

Tree-ring paleo-proxy records have been used to develop an animated atlas of North American drought for the last ~1,000 years. The data show annual (and even within-year) resolution of drought/wetness conditions across the United States and parts of Mexico and Canada. This synthesis provides a dramatic visual representation of changing climatic and environmental conditions over the region, including an indication that significantly more arid conditions existed in parts of the western United States prior to AD 1500. Such paleoclimate data help aid the understanding of climate mechanisms and impacts.

Origins of recent severe droughts in the Northern Hemisphere:

Recent work provides compelling evidence that severe droughts that affected the United States, the Mediterranean region, and Southwest Asia simultaneously during 1998-2002 were part of a persistent climate state that was strongly influenced by the tropical oceans. The oceanic conditions of importance were unusually cold sea surface temperatures (SSTs) in the eastern tropical Pacific, i.e., persistent La Niña conditions, that occurred together with sustained above normal SSTs in the western tropical Pacific and Indian Oceans. The persistence of this abnormal tropical SST pattern was unprecedented in the instrumental record. A large suite of model simulations showed that this SST pattern was ideally suited to force atmospheric circulation anomalies that were conducive to producing abnormally dry conditions in those regions where severe and sustained drought was observed.

CCRI Priority: Cloud and Water Vapor Feedbacks and Ocean Circulation and Mixing Processes

The Climate Change Science Program will address targeted climate processes known to be responsible for large uncertainties in climate predictions and projections. A new paradigm for conducting the research, Climate Process and Modeling Teams (CPTs), will be used and evaluated.

Important processes that are inadequately represented in climate models include atmospheric convection, the hydrological cycle, and clouds and their net radiative forcing. Water vapor is the most important of the greenhouse gases, and clouds affect both vertical heating profiles and geographic heating patterns. Results from climate models suggest that there will be an overall increase in water vapor as the climate warms. However, scientists do not know how the amounts and distributions of water vapor and clouds will change as the total water vapor in the atmosphere changes, nor how the associated changes in radiative forcing and precipitation will affect climate. Improved representation of the distribution of and processes involving water vapor in climate models is therefore critical to improving climate change projections.

Ocean mixing plays a pivotal role in climate variability and change, and is a primary source of uncertainty in ocean climate models. The highly energetic eddies of the ocean circulation are not well resolved and cannot be sustained for the multiple thousands of years of simulations required to assess coupled climate sensitivity. This leaves the problem of parameterization of eddy fluxes as a key issue for improving coupled model simulations.

Accelerating improvements in climate models requires observational, process, and modeling programs coordinated by teams of scientists—that is, CPTs, an approach first proposed by the U.S. elements of the Program on Climate Variability and Predictability (CLIVAR). A complete description of CPTs can be found on the U.S. CLIVAR Web site. CPTs will rapidly identify, characterize, and ultimately reduce uncertainties in climate model projections as well as determine observational requirements for critical processes. For problems that are generic to all climate models (e.g., cloud processes and ocean mixing), the CPTs will consist of teams of climate process researchers, observing system specialists, and modelers working in partnership with designated modeling centers.

Causes of the 1930s Dustbowl:

A NASA atmospheric general circulation model was used to investigate the North American dustbowl drought during the 1930s. Ensemble simulations using observed sea-surface temperatures (SSTs) show that principal causes of the Great Plains drought were the anomalous tropical SSTs during the 1930s in the Pacific and, to a lesser extent, the Indian and Atlantic Oceans. Land-surface feedbacks were also essential to the development and maintenance of the severe drought conditions.

Role of stratosphere:

Recent observational analyses suggest that, together with the tropical oceans, the stratosphere increases the ‘memory’ of the climate system, and also may influence long-term variations in the polar ice pack, sea surface temperatures, and the deep ocean circulation. This stratosphere-troposphere connection has important implications for the prediction of the response of tropospheric climate under increasing concentrations of greenhouse gases. Currently, sophisticated climate models differ as to whether the stratospheric polar vortex, a key part of the connection, will strengthen or weaken with increasing concentrations of greenhouse gases.

Role of aerosol infrared forcing:

A crucial factor limiting the predictability of global climate is the large uncertainty about the precise effects of aerosols on Earth's radiation balance. Most large-scale global climate models include the direct radiative effects of aerosols at higher wavelengths, but few consider aerosol radiative properties in the infrared (IR) region. Measurements of clear-sky IR spectra, performed during a cruise across the western Pacific Ocean, revealed aerosol forcings of up to 10 W/m2. These values are quite large compared to the 1-2 W/m2 forcing estimated for greenhouse gas accumulations since the beginning of the industrial revolution. Based on these measurements and analyses, aerosol IR effects will be included in the next version of the National Center for Atmospheric Research (NCAR) Community Climate System Model.

Effects of Indo-Pacific ocean mechanisms:

A new multi-year assimilation of in-situ and satellite data into an ocean model highlighted the importance of the interior ocean mechanisms (as compared to boundary currents such as the Gulf Stream) on timescales of weeks to months. Investigators found these mechanisms in the interior ocean play a critical role in altering the water mass exchanges between the midlatitude eastern Pacific Ocean and the the tropical Pacific where El Niño develops, suggesting that remote effects on El Niño should be more carefully considered by prediction models. Further, these relatively fast mechanisms were found to govern more generally the transports and exchanges between the tropical and midlatitude ocean and thus could be an important factors for observing and modeling the longer-term changes (e.g., interannual to decadal variability) of the Pacific Ocean.

CCRI Priority: Polar Feedbacks

The Climate Change Research Initiative will leverage existing USGCRP research to address major gaps in understanding climate change. Polar systems may be especially sensitive to climate change and might provide early indications of climate change as well as interact with climate variability and change through several important feedback processes.

The CCRI will support research to improve understanding of processes that determine the behavior of slowly-varying elements of the physical climate system, especially the oceanic and cryospheric portions. Particular foci include the processes by which the ice-covered regions of the high latitude Earth behave, the processes by which the distribution of sea ice varies, and the way in which knowledge of ocean circulation can be enhanced through use of global observations of ocean state and forcing parameters. The development and testing of new capabilities for measuring climatic properties, such as ocean surface salinity, mixed layer depth, and ice sheet thickness also will be carried out.

The CCRI will support the obtaining of systematic data sets for a limited number of Earth system parameters such as ice thickness, extent, and concentration in the case of sea ice, and mass balance and surface temperatures in the case of land ice and snow cover. It will shortly enable the initiation of regular observations of ice sheet thickness. Data assimilation systems using satellite data that provide for accurate, geophysically-consistent data sets will also be carried out through this program. The polar feedbacks research will contribute to decision support through cryospheric observations and associated models that enable the initialization and verification of climate models, and the reduction in uncertainty of model output. The models also will provide real-time information for use by the U.S. Navy and commercial maritime interests in high-latitude regions.

Diagnostic for Evaluating Climate Model Performance :

Scientists developed the Broadband Heating Rate Profile (BBHRP), a new model diagnostic that will help reduce a significant obstacle to improving the predictive accuracy of climate models—the ability to accurately quantify the interaction of the clouds, aerosols, and gases in the atmosphere with radiation. Because direct observation of these interactions is extremely difficult, there has been no observation standard with which to compare and judge the accuracy of climate model simulations. The BBHRP, which is based on an assimilation of detailed field measurements from the Atmospheric Radiation Measurement program, provides a realistic estimate of radiative heating or cooling impact of clouds, aerosols, and gases. This diagnostic can be directly compared to the model-predicted impacts, thus enabling model uncertainties to be evaluated.

CCSP Climate Modeling Strategy

The CCSP strategy to accelerate climate model development and increase climate modeling capacity has three goals:

  • Improve the scientific basis of climate and climate impacts models.
  • Provide the infrastructure and capacity necessary to support a scientifically rigorous and responsive U.S. climate modeling activity.
  • Coordinate and accelerate climate modeling activities and provide relevant decision support information on a timely basis.

See Strategic Plan for the U.S. Climate Change Science Program, Chapter 10, for detailed discussion of the CCSP modeling strategy.

 


 

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