Update on ARM climate modeling data development at Lawrence Livermore National Laboratory

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Description

The Lawrence Livermore National Laboratory (LLNL) ARM Infrastructure Team had been working on climate modeling ARM value-added products (VAPs) for many years now. We describe new additions, updates, and future plans of the VAPs being developed. The ARM showcase data set ARM Best Estimate (ARMBE, former Climate Modeling Best Estimate [CMBE]) product is presented. It is now part of the main ARM Data Archive and not an evaluation product; it has been updated to the most recent 2012 data, and the cloud fraction was updated with the new Active Remote Sensing of Clouds (ARSCL) algorithm. The work on a new ARMBE-Land data set that will facilitate use of ARM data in land-atmosphere coupling studies and the community land model development is presented. A new Quality Controlled Eddy Correlation (QCECOR) VAP was developed and evaluated and is now transferring to the main ARM Data Archive. Another product developed at LLNL is the Variational Analysis (VARANAL) VAP also known as the large-scale forcing for cloud modeling studies. New variational analysis forcing data sets are being developed for several ARM field campaigns, namely: the Midlatitude Continental Convective Clouds Experiment (MC3E), Small Particles in Cirrus (SPARTICUS), and ARM Madden-Julian Oscillation Investigation Experiment (AMIE) field campaigns. We also discuss the cloud retrievals uncertainty quantification work and the ACRED (ARM Cloud Retrieval Ensemble Data Set) product updates. The future goals for all the LLNL ARM VAPs are also presented.