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While the total cover of broken cloud fields can in principle be obtained from one-dimensional measurements, the cloud size distribution normally differs between two-dimensional (area) and one-dimensional retrieval (chord length) methods. In this study, we use output from high-resolution Large Eddy Simulations to generate a transfer function between the two. We retrieve chord lengths and areas for many clouds, and plot the one as a function of the other, and vice versa. We find that the cloud area distribution conditional on the chord length behaves like a gamma distribution with well-behaved parameters, with a mean <inline-formula><math display="inline"><semantics><mrow><mi>μ</mi><mo>=</mo><mn>1.1</mn><mi>L</mi></mrow></semantics></math></inline-formula> and a shape parameter <inline-formula><math display="inline"><semantics><mrow><mi>β</mi><mo>=</mo><msup><mi>L</mi><mrow><mo>−</mo><mn>0.645</mn></mrow></msup></mrow></semantics></math></inline-formula>. Using this information, we are able to generate a transfer function that can adjust the chord length distribution so that it comes much closer to the cloud area distribution. Our transfer function improves the error in predicting the mean cloud size, and is performs without strong biases for smaller sample sizes. However, we find that the method is still has difficulties in accurately predicting the frequency of occurrence of the largest cloud sizes.