I was surprised to learn that clouds create the most uncertainty when it comes to forecasting future climates, due to the interaction between clouds and CO2 particles in the air being highly complex. Before, I assumed that Africa would become increasingly dry, and the Sahara would continue to expand. However, I found it fascinating that Africa's future climate can become either wetter or drier depending on different models and interactions of clouds with CO2. This discussion also made me think about how clouds, which are distributed differently in the same location over time, can influence and potentially create a bias for calculating grid boxes.
During the interview, Professor Palmer explained that the assumptions for grid boxes are based on the assumption that the fluid being measured is completely homogeneous. However, I wonder if clouds are the biggest or only factor that changes the homogeneity of these grid boxes. Is there a way to account for different sheets of grid boxes, corresponding to different altitudes, to further homogenize different portions of the sky? Alternatively, is it too challenging to measure these differences with the current technology we have available?