 Hello, this is Professor Steven Nashaba, and I'm here to take you on the next step of analysis which is to get differences in maps between Say the last five years of a run and the first five years You probably I'm hoping already extracted those if you follow the last video in which case I'm hoping that you're looking at two NC files that are here in the upper right now if you double-click on those That'll that'll launch Panoply and and you'll have to click on one and then double-click on the other in which case Something like this file should show up. So this is the sources window for Panoply you can always get to it here from the sources browser and These are the these are the maps that I extracted and let me just look at surface air temperature so I'm going to go to that okay, so that's going to be one array and Let's see. This was the surface air temperature for 1958 to 1962 So that was the beginning of our period. I'm going to go back to the sources browser and I'm going to do the same thing here So this is now at the end of our period 2050 to 2046 Okay, and you know you can do the same, you know things that you may be accustomed to do for scaling these arrays but what we really want to talk about right now is the the difference between these so the way to do that is go back to the sources browser and What we're going to do is say combine plot while this is already highlighted down here I'm going to combine the plot and it says well, which one do you? combine the variable and then you just take the default here and What hopefully will show up here is? Array one which is the 1958 to 1962 and array two which is the the latter part of the period We kind of want to look like look at the end of that period to the beginning of that period So we really want to say array two minus array one And what else do we want? Um? If you look down here, I want to look at annual averages So I'm going to do set that for both of both of those arrays both and time periods and I think that looks good. I'm going to go back to plot here now I want to try to sort of Scale this so it's on a more reasonable scale here So I'm going to say fit together to data and center on zero So what that did was that anything in the warm colors here means that the world is warmed and that you know by the year 2050 and and so on and What you might want to do in addition on this case is it defaulted to two and a half degrees But I think I'm going to maybe spread that out to five just so that you can see the dynamic range a little bit and and so now you're in a position to to look at this and And if you want to do a screen capture you can you can do that and and so on