Coarse-grained outputs from near-global aqua-planet control run with QOBS SST

This is the coarse-grained CTRL NG-Aqua data described in the following two papers: Narenpitak, P., Bretherton, C. S. & Khairoutdinov, M. F. Cloud and circulation feedbacks in a near-global aquaplanet cloud-resolving model: Cloud Feedbacks in a Near-Global CRM. J. Adv. Model. Earth Syst. 9, 1069–1090 (2017). Bretherton, C. S. & Khairoutdinov, M. F. Convective self-aggregation feedbacks in near-global cloud-resolving simulations of an aquaplanet. Journal of Advances in Modeling Earth Systems 7, 1765–1787 (2015). The data are generated using the System for Atmospheric Modeling, and then selected fields are averaged onto (160 km)^2 grid boxes for machine learning purposes.