We are now going to discuss how one might go about monitoring draws and assessing their potential impact. So to do so, we need some data. The data one might want to use here is naturally climate data or weather data, specifically for example recent precipitation. So let's pick from the weather set and the GFS, the precipitation. So the deal would be, we look for areas where in the recent past there has been generally low precipitation. And then we could add for example minimum temperature. Here the rationale being that if the temperature is high, the effect of low precipitation, of course increase, the increase of the impact of this quite a lot. So now that we have these two data layers, let's pick an area. So for this example, let's pick part of Ethiopia where there have been draws in 2017. And now we can filter this. So let's add as a filter here the population density. With the IDB in that, you know, in areas of low population density, the effect of draw is maybe not that problematic. We're in just an area where there's more than five people per square kilometer as a density. Now that we've selected this filter, we should pick the time window. So today is March the 5th. And we said, you know, let's go a bit into the past for the precipitation and a bit into the future for the temperature. And we can do aggregation here. So for the precipitation, we pick the sum together total. For the minimum temperature, let's take the mean. I guess maybe the most relevant quantity here. So to say this again, we're now querying for areas in East Africa where there's population higher than a certain threshold. And for these areas, we're considering the accumulated precipitation from the last four days in comparing this against the mean minimum temperature forecast for the next three days. Okay. Of course, here, we actually approximate the accumulated precipitation by its forecast. So we submit this. And as in previous examples, we've actually ran this query previously. So we can take a look at the result immediately. So you see here now, this is the population density, okay, where we've scaled the color chart a bit so that you know, right areas are sort of, you know, going to saturation at 250. And then you know, you see here how some areas have been cut out where the population density is very, very low. And then we compare for these areas, the accumulated precipitation, you know, we see there's been a very low precipitation in the West and in the East. And similarly, we can compare this with the average minimum temperature, you know, which is very high, specifically high heat and heat.