3D cloud reconstructions from scanning radar simulations for shortwave radiation closure
Poster PDF
Authors
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J.-Y. Christine Chiu — Colorado State University
Robin J. Hogan — University of Reading
Graham Feingold — Earth System Research Laboratory
Category
Cloud Properties
Description
Accurate representation of clouds and their radiative impact in climate models has been a great challenge in climate change prediction. To improve cloud formulations, we not only need to advance our understanding of cloud life cycle and aerosol-cloud-precipitation interactions but also need to make detailed routine cloud observations. In the past, clouds have been observed from a "soda-straw" view; as a result, their evolution and three-dimensional (3D) structures must be derived based on certain assumptions, making it difficult to tackle cloud problems in a fully 3D situation. The new Atmospheric Radiation Measurement (ARM) Climate Research Facility scanning radars provide a unique opportunity to make robust 3D cloud observations. Here we explore this new capability and investigate how scanning strategy affects 3D cloud reconstructions and shortwave surface radiation closure. We will evaluate six prototype scanning strategies used in ARM operations and demonstrate their performance for shallow cumulus clouds generated with contrasting ambient aerosol amounts. We will also highlight how sampling and reconstruction of clouds are affected by inconvenient reality, such as limited radar sensitivity and the presence of drizzle. Providing insight for decision-making of radar scanning strategy, this work looks to find the optimum scanning strategy from both a radiative and microphysical viewpoint.
