 Okay, so now I've selected precipitation, and we're going to look at the change in precipitation over the surface of the globe, annual mean surface precipitation, different the first five years minus this, the last five years minus the first five years of the simulation. Okay, data one minus data two, and this is what we get. Again, let's use a more sensible scale, so we'll go from minus 3.09 to plus 3.09. So we can see that overall precipitation is increasing over the globe, as we already saw when we plotted out the global average precipitation, but there's some strong regional variations. There is a concentration of increased precipitation in a band near the equator. The largest increases in precipitation are near the equator, where we have the intertropical convergence zone rising motion in the atmosphere, and since the surface is warmer and there's more water vapor in the atmosphere, we get more rainfall in the region where rainfall tends to occur, which is this intertropical convergence zone. But as we go to the subtropics, we can see large patches of white, and what that's indicating is that in fact, in the descending branch of the Hadley circulation where we tend to see deserts, that region is actually expanding forward somewhat, and so that region of drying is now expanding towards the poles, and that's why we see these large areas of at least small decreases in rainfall in subtropical regions, contrasting with the large increases we see closer to the equator. And then as we get into higher latitudes again, you can start to see that there's a larger tendency again for increased precipitation in the subpolar latitudes, and that is associated with a migration poleward of the mid-latitude band of frontal precipitation in both hemispheres. So when we look at the pattern of rainfall, there's a far richer pattern of regional variation that tells us that in fact, if we want to understand projected changes in rainfall, it's important not just to look at global averages or hemispheric averages, but look at the underlying pattern of changes, which is fairly complex even in this case. Of course, this is a relatively simple model in state-of-the-art models today. The patterns of projected change in variables like rainfall are even more complex, even more regionally variable, because these models are able to resolve important changes in ocean and atmosphere circulation that impact on regional precipitation. For example, changes in the El Nino Southern Oscillation phenomenon, which has a large impact on regional patterns of rainfall. But even in this fairly basic, this fairly primitive model from the 1980s, we can see this pattern of a latitudinal variation in how rainfall changes. Even on the average, there is an increase in global rainfall. That change in rainfall is strongly regionally variable, and there are some regions in the subtropics where this model projects a modest decrease in rainfall. So we'll leave our discussion of EDGCM there. This again is a relatively primitive climate model by modern standards. And yet we can see some of the changes that we know are projected by more state-of-the-art climate models with regard to changes in temperature, changes in rainfall, changes in sea ice. And so as we go on into our next couple lessons and we start to look at projections of state-of-the-art climate models, we will see that many of these predictions with the earliest models are borne out by more realistic models that are available today.