Abstract: The next series of CLOUD experiments will aim to understand the effect of several factors on cloud formation, including seven parameters such as the concentration of different chemical compounds, temperature, and ionization rates due to cosmic rays. A maximin Latin hypercube sampling technique will be used to determine a design data set in this seven dimensional space to provide the most comprehensive determination of the effect on nucleation rate. A Gaussian process emulator can then predict the nucleation rates across the sampling space, and, when applied to a climate model, the nucleation rates in Earth's atmosphere.