Statement Concerning the Role of Water Vapor Feedback in Global Warming

Roy W. Spencer

Senior Scientist for Climate Studies

Huntsville, Alabama

Presented to the House Science Committee

Subcommittee on Energy and the Environment

7 October 1997

I would like to thank the members of the Subcommittee for the opportunity to review the results of our recent research on global warming.

Because the atmosphere is so complex in its behavior, the science of global warming is complex as well. Probably all climate scientists will agree that anthropogenic greenhouse gas increases in the atmosphere should perturb the Earth’s radiative energy balance to some extent. But it is much less certain whether we will recognize the effects of this perturbation. I contend that the physics contained in current general circulation models (GCM’s) are still insufficient to have much confidence in their predicted magnitude of global warming.

There are several reasons for this uncertainty, some of which include: 1) the radiative perturbation due to an anthropogenic doubling of carbon dioxide is small, about 1% of the Earth’s natural cooling rate; 2) naturally occurring water vapor is a far more important greenhouse gas than is carbon dioxide, and it varies considerably in space and time; 3) the feedback effects of clouds and water vapor are still poorly understood; and 4) while the Earth as a whole is in radiative balance (incoming sunlight equaling outgoing infrared radiation, thus maintaining a fairly constant temperature) the surface is far out of radiative balance. This latter fact is due to evaporation and convection processes, which absorb excess heat from the surface and transports it to the upper troposphere. This upper tropospheric heat can be more efficiently radiated out to space since it is above most of the heattrapping vapor. Thus, convective overturning of the atmosphere, and not radiation balance, largely determines the surface and upper tropospheric temperature distribution.

In this context, much of my team’s research is designed to better understand why global tropospheric temperature measurements from satellites (Spencer and Christy, 1992) and weather balloons have cooled slightly (0.05 deg. C/decade) in the last 19 years (Fig. 1; also see written testimony by John R. Christy, Senate Committee on Environment and Public Works, 10 July 1997), even though surface temperatures reportedly have increased (by about 0.100.15 deg. C/decade). This apparent discrepency has been debated recently in the scientific literature (Hurrell and Trenberth, 1997; Christy et al., 1997). There are two main issues raised by all of these measurements: 1) are the satellite and balloon measurements of slight cooling incompatible with global warming predictions?, and 2) is the disagreement between surface and deep layer temperatures incompatible with the physics contained in current GCM’s? I will deal mainly with the latter question.

Even the seemingly small level of disagreement between surface and deep layer temperature trends can not be reproduced by current GCM’s, which slave globallyaveraged deep tropospheric temperatures to any surface temperature fluctuations (e.g. Hurrell and Trenberth, 1997). However, we know that convective air currents and the airconditioning effects of water cause the atmospheric temperature profile to change by a much larger amount, about 80 deg. C, between the surface and 10 km altitude when compared to a hypothetical Earth without these processes (Manabe and Strickler, 1964). Thus, it is critical to validate whether the parameterizations of moist convective processes in GCM’s are realistic enough to capture the ways in which the tropospheric temperature profile fluctuates naturally in response to this transport of heat from the surface to the upper troposphere.

I will summarize one of our research efforts in which we are analyzing new satellite measurements of middle and upper tropospheric water vapor from the SSM/T2 instrument flying on the Defense Meteorological Satellite Program satellites.

The water vapor in GCM’s increases in response to the warming produced by doubling of carbon dioxide, causing a "positive water vapor feedback" on temperature. All GCM’s produce values of water vapor feedback that are so similar to one another that the modelers view this agreement as evidence for its validity. This view has been further bolstered by several observational studies that have proported to validate the positive water vapor feedback paradigm (Rind et al., 1991; Ramanathan and Collins, 1991; Soden and Fu, 1995). Unfortunately, these studies neglected the role that tropospheric circulation systems have in redistributing water vapor spatially. Water vapor feedback can only be meaningfully evaluated over entire circulation systems, such as the entire tropical half of the Earth, or preferably over the whole Earth (Lau et al., 1996; Spencer and Braswell, 1997). Thus, those studies did not validate positive water vapor feedback. They merely observed that the warm, ascending branches of tropospheric circulation systems have more water vapor than the cooler, descending branches. This will always be true, even in the case of negative water vapor feedback.

It is my contention that the physics contained in GCM’s are still insufficient to have much confidence in the predicted magnitude of global warming, partially because the cloud microphysical processes which help determine water vapor feedback are still poorly understood. A statement from the body of the 1995 Intergovernmental Panel on Climate Change (IPCC) report also supports this view:

Climate Change 1995, IPCC Second Assessment

To appreciate the water vapor feedback problem, it is useful to recognize that we generally associate a warmer surface with higher water vapor contents of the air above that surface. This positive relationship typically occurs in the turbulent boundary layer, which occupies only the bottom 12 km of the troposphere. However, it is the humidity structure of the entire depth of the atmosphere that determines water vapor feedback, and thus the magnitude of global warming. Above the boundary layer, in the free troposphere, other less well understood processes control the humidity of the air. The primary moistening process in this layer is evaporation of clouds (Fig. 2).

In the tropics, and at higher latitudes during the warm season, these clouds are usually deep convective in nature, with strong updrafts of warm moist air in their cores. These cloud processes are not explicitly represented in GCM’s, due to their very small spatial scale compared to the scales resolved in the models. Instead, their effects on the atmosphere are parameterized. The same model limitations hold true for the smaller stratus and cumulus clouds that form near the top of the boundary layer (Fig. 2).

What is the process that controls how much water vapor is supplied to the environment from rainfall systems? The answer is cloud water. Some portion of all of the cloud water contained in a rain system will fall back to the surface as precipitation, while the rest evaporates into the air. This evaporated cloud condensate constitutes the primary humidity source for the free troposphere. The fraction of the total condensed water that falls out as rain is called the "precipitation efficiency (e)" of the rain system. If all water falls out as rain, e =1. If none of it falls out as rain, e=0. A typical rain system has an efficiency near 0.5. However, these cloud formation, rainout, and dissipation processes are only crudely represented in GCM’s at the present time. It has been shown theoretically that high rainfall efficiency leads to a cool and dry climate, while low rainfall efficiency leads to a warm, moist climate (Renno et al., 1994), through its control of humidity.

The important question for water vapor feedback and thus climate change is not so much what the current rainfall efficiency is, but how it changes as greenhouse gas concentrations increase. If the efficiency decreases during warming, then we have a potential negative water vapor feedback, which could mitigate, rather than enhance, the small amount of direct warming due to carbon dioxide increases. There is some evidence that precipitation efficiency increases with temperature. For instance, we know that warm tropical precipitation systems are more efficient than cold, high latitude systems. The observation that heavy rain can fall out of rather shallow tropical clouds is evidence for this. Other processes controlling precipitation efficiency are not well understood, however. We have embarked on an investigation of these issues with a highresolution cloudresolving model run in a climate mode in order to address some of the deficiencies in the GCM’s.

New water vapor measurements of the middle and upper troposphere are now being derived from the SSM/T2 water vapor sounder on the DMSP satellites. These microwave measurements have the advantage of being able to sense through most cirrus clouds. These new measurements reveal that vast stretches of the tropical upper troposphere (averaged over the 612 km altitude range) are very dry, with half of the tropics being covered by relative humidities below 20% on a daily basis (Spencer and Braswell, 1997). Individual layeraverage humidities fall as low as 2%. These low humidities are extremely important, for they provide radiative exhaust ports through which the Earth can lose radiant (infrared) energy most efficiently. Furthermore, their ability to lose energy increases nonlinearly as the humidity falls (Lindzen, 1995). Pierrehumbert (1995) argues that these dry zones are the controlling influence on the average climate of the tropics.

As discussed above, rainfall systems have an important influence on the humidity of tropospheric dry zones, with a small change in humidity causing a potentially large change in the trapping of infrared energy. If the average temperature of the tropics is indeed sensitive to small humidity fluctuations, why does the tropical atmosphere remain at so stable a temperature? I continue to believe the basic reason is that feedbacks in the climate system are predominately negative, causing any perturbation from the average state to be damped out, and restoring the system back to a stable temperature. In this context, it is interesting to note that the average value of positive cloud feedback in 19 GCM’s fell by 71% between 1990 and 1995 (Cess et al., 1996; IPCC, 1995). As the physical processes in GCM’s continue to be improved, and as faster computers allow more detailed physics to be incorporated, I expect that the predicted magnitude of global warming will continue to fall, as it has since the first IPCC assessment in 1990. In the mean time, observations from NASA’s Earth Observing System AM and PM satellites will provide new information on upper tropospheric vapor, cloud, and radiation processes that will be critical for advancing our understanding of climate variability and improving the physical processes contained in the GCM’s.

References

Roy W. Spencer

NASA/Marshall Space Flight Center

Global Hydrology and Climate Center

Huntsville, Alabama 35806

(205) 9225960 (voice)

(205) 9225788 (fax)

roy.spencer@msfc.nasa.gov (email)

RESEARCH AREAS:

Satellite information retrieval techniques, passive microwave remote sensing, satellite precipitation retrieval, global temperature monitoring, space sensor definition, satellite meteorology.

EDUCATION:

1981: Ph.D. Meteorology, U. Wisconsin Madison

1979: M.S. Meteorology, U. Wisconsin Madison

1978: B.S. Atmospheric and Oceanic Science, U. Michigan Ann Arbor

PROFESSIONAL EXPERIENCE:

4/87 present: Space Scientist

NASA/Marshall Space Flight Center

10/84 4/87: Visiting Scientist

USRA NASA/Marshall Space Flight Center

7/83 10/84: Assistant Scientist

Space Science and Engineering Center, Madison, Wisconsin

12/81 7/83: Research Associate

Space Science and Engineering Center, Madison, Wisconsin

SPECIAL ASSIGNMENTS:

U.S. Science Team Leader, Advanced Microwave Scanning Radiometer, 1996present

Principal Investigator, a ConicallyScanning Twolook Airborne Radiometer for ocean wind

U.S. Science Team Leader, Multichannel Microwave Imaging Radiometer Team, 19921996.

Member, TOVS Pathfinder Working Group, 19911994.

Member, NASA HQ Earth Science and Applications Advisory Subcommittee, 19901992.

Expert Witness, U.S. Senate Committee on Commerce, Science, and Transportation, 1990.

Principal Investigator, High Resolution Microwave Spectrometer Sounder for the Polar Platform,

19881990.

Principal Investigator, an Advanced Microwave Precipitation Radiometer for rainfall

Principal Investigator, Global Precipitation Studies with the Nimbus7 SMMR and DMSP

SSM/I, 1984present.

Principal Investigator, Space Shuttle Microwave Precipitation Radiometer, 1985.

Member, Japanese Marine Observation Satellite (MOS1) Validation Team, 19781990.

Chairman, Hydrology Subgroup, Earth System Science Geostationary Platform Committee,

19781990.

Executive Committee Member, WetNet An Earth Science and Applications and Data System

Prototype, 19871992.

Member, Science Steering Group for the Tropical Rain Measuring Mission (TRMM), 19861989

Member, TRMM Space Station Accommodations Analysis Study Team, 19871991.

Member, Earth System Science Committee (ESSC) Subcommittee on Precipitation and Winds,

1986.

Technical Advisor, World Meteorological Organization Global Precipitation Climatology Project,

19861992.

REFEREED JOURNAL ARTICLES/ BOOK CONTRIBUTIONS(lead author)

Spencer, R.W., and W.D. Braswell, 1997: How dry is the tropical free troposphere? Implications for

global warming theory. Bull. Amer. Meteor. Soc., 78.

Spencer, R.W., J.R. Christy, and N.C. Grody, 1996: Analysis of "Examination of ‘Global atmospheric

temperature monitoring with satellite microwave measurements’". Climatic Change, 33, 477

489.

Spencer, R.W., W. M. Lapenta, and F. R. Robertson, 1995: Vorticity and vertical motions diagnosed

from satellite deep layer temperatures. Mon. Wea. Rev., 123,18001810.

Spencer, R.W., R.E. Hood, F.J. LaFontaine, E.A. Smith, R. Platt, J. Galliano, V.L. Griffin, and E. Lobl,

1994: Highresolution imaging of rain systems with the Advanced Microwave Precipitation

Radiometer. J. Atmos. Oceanic Tech., 11, 849857.

Spencer, R.W., 1994: Oceanic rainfall monitoring with the microwave sounding units. Rem. Sens. Rev.,

11, 153162.

Spencer, R.W., 1994: Global temperature monitoring from space. Adv. Space Res., 14, (1)69(1)75.

Spencer, R.W., 1993: Monitoring of global tropospheric and stratospheric temperature trends. Atlas of

Satellite Observations Related to Global Change, Cambridge University Press.

Spencer, R.W., 1993: Global oceanic precipitation from the MSU during 197992 and comparisons to

other climatologies. J. Climate, 6, 13011326.

Spencer, R.W., and J.R. Christy, 1993: Precision lower stratospheric temperature monitoring with the

MSU: Technique, validation, and results 197991. J. Climate, 6, 13011326.

Spencer, R.W., and J.R. Christy, 1992a: Precision and radiosonde validation of satellite gridpoint

temperature anomalies, Part I: MSU channel 2. J. Climate, 5, 847857.

Spencer, R.W., and J.R. Christy, 1992b: Precision and radiosonde validation of satellite gridpoint

temperature anomalies, Part II: A tropospheric retrieval and trends during 197990. J. Climate,

5, 858866.

Spencer, R.W., J.R. Christy, and N.C. Grody, 1990: Global atmospheric temperature monitoring with

satellite microwave measurements: Method and results, 197984. J. Climate, 3, 11111128.

Spencer, R.W., and J.R. Christy, 1990: Precise monitoring of global temperature trends from satellites.

Science, 247, 15581562.

Spencer, R.W., H.M. Goodman, and R.E. Hood, 1989: Precipitation retrieval over land and ocean with the

SSM/I: identification and characteristics of the scattering signal. J. Atmos. Oceanic Tech., 6,

254273.

Spencer, R.W., M.R. Howland, and D.A. Santek, 1986: Severe storm detection with satellite microwave

radiometry: An initial analysis with Nimbus7 SMMR data. J. Climate Appl. Meteor., 26, 749

754.

Spencer, R.W., 1986: A Satellite passive 37 GHz scattering based method for measuring oceanic rain

rates. J. Climate Appl. Meteor., 25, 754766.

Spencer, R.W., and D.A. Santek, 1985: Measuring the global distribution of intense convection over land

with passive microwave radiometry. J. Climate Appl. Meteor., 24, 860864.

Spencer, R.W., 1984: Satellite passive microwave rain rate measurement over croplands during spring,

summer, and fall. J. Climate Appl. Meteor., 23, 15531562.

Spencer, R.W., B.B. Hinton, and W.S. Olson, 1983: Nimbus7 37 GHz radiances correlated with radar

rain rates over the Gulf of Mexico. J. Climate Appl. Meteor., 22, 20952099.

Spencer, R.W., D.W. Martin, B.B. Hinton, and J.A. Weinman, 1983: Satellite microwave radiances

correlated with radar rain rates over land. Nature, 304, 141143.

Spencer, R.W., W.S. Olson, W. Rongzhang, D.W. Martin, J.A. Weinman, and D.A. Santek, 1983: Heavy

thunderstorms observed over land by the Nimbus7 Scanning Multichannel Microwave

Radiometer. J. Climate Appl. Meteor., 22, 10411046.

Christy, John R., R.W. Spencer, and W.D. Braswell, 1997: How accurate are satellite thermometers?

Nature, 25 September.

McGaughey, G., E.J. Zipser, R.W. Spencer, and R.E. Hood, 1996: Highresolution passive microwave

observations of convective systems over the tropical Pacific Ocean. J. Appl. Meteor., 35, 1921

1962.

Christy, J.R., R.W. Spencer, and R.T. McNider, 1995: Reducing noise in the MSU daily lower

tropospheric temperature dataset. J. Climate, 8, 888896.

AWARDS:

1996: AMS Special Award "for developing a global, precise record of earth's temperature from

1991: NASA Exceptional Scientific Achievement Medal

1990: Alabama House of Representatives Resolution #624

1989: MSFC Center Director’s Commendation