My WebLink
|
Help
|
About
|
Sign Out
Home
Browse
Search
WMOD00435
CWCB
>
Weather Modification
>
DayForward
>
WMOD00435
Metadata
Thumbnails
Annotations
Entry Properties
Last modified
7/28/2009 2:39:12 PM
Creation date
4/18/2008 10:01:12 AM
Metadata
Fields
Template:
Weather Modification
Title
Limits on Global Warming
Date
5/9/1991
Weather Modification - Doc Type
Report
There are no annotations on this page.
Document management portal powered by Laserfiche WebLink 9 © 1998-2015
Laserfiche.
All rights reserved.
/
12
PDF
Print
Pages to print
Enter page numbers and/or page ranges separated by commas. For example, 1,3,5-12.
After downloading, print the document using a PDF reader (e.g. Adobe Reader).
Show annotations
View images
View plain text
<br />analogue for a 2 to 2.5 oC warming; and the Pliocene <br />climatic optimum (about 3 to 4 million years B.P.) <br />corresponds to a warming of 3 to 4 DC." Considerable <br />effort has gone into studies of lake levels, types of <br />vegetation, and so on during those eras for indications of <br />what a warmer world might entail. However, Crowley <br />(1990) has concluded that geologic records yield no <br />completely satisfactory analogs of global warming because, <br />among other things, the earth's orbit around the sun is <br />different now than in the past, and nothing in the geologic <br />record matches the current rate of increase in <br />concentrations of greenhouse gases. <br /> <br />Although paleoclimatic data do not yield exact <br />analogs of future climates, they are valuable in <br />investigations of the physical mechanisms that control <br />climate. Larius et al. (1990) have calculated that between <br />40 and 65 percent of the variance in the Vostok <br />temperature record can be explained by variations in the <br />concentrations of CO2 and CH4 during the same period, <br />and about 80 percent by a combination of orbital forcing <br />(the Milankovitch effect) and greenhouse gas <br />concentrations. They also employed multivariate analysis <br />to deduce that the feedback factor that applied to <br />temperature variations driven by variations in the <br />concentrations of CO2 and CH4 over the 150,000 years <br />before the present was somewhere around 3. This result is <br />intriguing because it agrees fairly well with the theoretical <br />calculations of Ramanathan (1981). It is also in reasonable <br />agreement with recent output from general circulation <br />models, which will be discussed next. <br /> <br />5. PREDICTIONS FROM GENERAL <br />CIRCULATION MODELS <br /> <br />The results of Ramanathan (1981) were based on a <br />one-dimensional ocean-atmosphere model. The actual <br />ocean-atmosphere system is three-dimensional, which <br />allows the transport of heat from place to place by winds <br />and ocean currents. The only models capable of handling <br />the three-dimensional system are the general circulation <br />models (GCMs). There is an extensive literature <br />describing the various GCMs developed at different <br />institutions and providing sample results; space does not <br />permit any description of the models in this paper. <br /> <br />Most of the simulations of global warming using <br />GCMs have modeled a world in which the atmospheric <br />concentration of CO2 is steady near 600 ppm, <br />approximately double that of the year 1900. The results <br />indicate that doubling CO2 will raise the average surface <br />temperature of the earth by some amount in the range of <br />1.5 to SoC. Recent estimates are clustering around 3 to 4 <br />dc. Most of the models indicate that warming in the polar <br />regions will be more pronounced than warming at lower <br />latitudes. One comforting fact is that the changes in <br />precipitation predicted by the models are within the range <br />of the rainfall fluctuations that have occurred from natural <br />causes over the past few hundred years. Unfortunately the <br />models do not simulate natural precipitation patterns very <br />well, and they do not agree concerning regional impacts on <br />either temperature or precipitation (Grotch and <br />MacCracken 1991). <br /> <br />L <br /> <br />Most doubled-C02 model runs simulate an earth <br />whose climate has stabilized following a sudden doubling <br />of the atmospheric CO2 concentration, with no further <br />increase thereafter. Such model runs do not correspond to <br />the actual earth, with its steadily increasing concentration <br />of greenhouse gases. Doubled-C~ scenarios can be <br />viewed as rough estimates of a condition through which the <br />earth may pass on its way to even higher concentrations of <br />greenhouse gases. As noted in section 2, the combined <br />effect of increases in C~, CH4, and CFCs is likely to <br />produce the equivalence of a doubled-C02 atmosphere <br />around 2050, but the onset of global warming will be <br />moderated by the tremendous thermal inertia of the ocean. <br />As some recent papers put the time constant for adjustment <br />of the temperature of the ocean's mixed layer to a thermal <br />forcing function at roughly SO years, it appears that the <br />theoretical predictions of climate for a doubled-C02 world <br />should be most applicable to some time around 2100. <br />However, upwelling of cold, deep-ocean water that has <br />never been exposed to an enhanced greenhouse effect will <br />continue for centuries and prevent the establishment of a <br />true equilibrium condition. <br /> <br />Critics of GCMs often refer to their coarse spatial <br />resolution, with grid points typically separated by a few <br />hundred kilometers in the horizontal, which precludes <br />representation of mesoscale and local phenomena except <br />through parameterization. However, the crude <br />representation of physical processes in the models is <br />probably a more serious deficiency. At this time, the key <br />physical uncertainties center around ocean-atmosphere <br />interactions, the radiative effects of clouds, and the albedos <br />of surfaces covered by ice or snow. As all Ihree factors <br />involve the possibility of significant feedback effects, their <br />correct representation is of critical importance. <br /> <br />The first ocean-atmosphere GCMs which modeled <br />the ocean at all treated it as a swamp, that is, a wet surface <br />with no capacity to store heat. More recent versions (e.g., <br />Meehl and Washington 1990) treat the ocean as consisting <br />only of its mixed layer. That allows the ocean to store <br />heat. Models that treat exchanges of heat between the <br />mixed layer and the ocean depths are just beginning to <br />appear. <br /> <br />Clouds are sites where latent heat is transformed <br />into sensible heat (and sometimes vice vl~rsa), and they are <br />important to the earth's radiation budget (Fouquart et al. <br />1990; Arking 1991). Because the dimensions of individual <br />clouds are much smaller than a typical GCM grid spacing, <br />clouds must be parameterized in the models, and several <br />parameterization schemes are in use (Randall 1989). A <br />recent intercomparison of 19 different GeMs concluded <br />that most of the variation in results was attributable to <br />differences in the models' depiction of cloud feedback <br />(Cess et al. 1990). <br /> <br />Clouds simultaneously cool the earth by scattering <br />solar radiation and warm the earth by intercepting IR from <br />the ground and reradiating some of it downward as well as <br />to outer space. The relative importance of the two effects <br />varies with time of day, latitude, and cloud characteristics. <br />Important cloud characteristics in this regard include <br /> <br />112 <br />
The URL can be used to link to this page
Your browser does not support the video tag.