ASR cloud modeling data development at Lawrence Livermore National Laboratory
Poster PDF
Authors
Renata B. McCoy — Lawrence Livermore National Laboratory
Shaocheng Xie — Lawrence Livermore National Laboratory
Yunyan Zhang — Lawrence Livermore National Laboratory
Chuanfeng Zhao — Beijing Normal University
Category
Infrastructure & Outreach
Description
This poster describes new additions, updates, and future plans of the cloud modeling value-added products (VAPs) being developed by the Lawrence Livermore National Laboratory (LLNL) ARM Infrastructure team. These include the ARM showcase Climate Modeling Best Estimate (CMBE) product, which was recently renamed “ARM Best Estimate” (ARMBE), the large-scale forcing data sets, and the ARM Cloud Retrieval Ensemble Dataset (ACRED). Specifically, ARMBE has been updated to the most recent 2011 data, and it contains new variables for the SGP site, such as latent and sensible heat fluxes from ECOR instruments and clear-sky fluxes that can be used to derive effective cloud albedo. The recent progress in the forcing data development includes multi-scale forcing data sets for MC3E and two previous ARM IOPs (summer 1997 and spring 2000) at SGP and forcing for AMF-China. For ACRED, we have produced high-frequency (1-minute) ACRED data consistent with the ARM Radiatively Important Parameters Best Estimate (RIPBE) VAP to facilitate the use of the ARM Broadband Heating Rate Profile (BBHRP) testbed in evaluating the retrieval products contained in ACRED. In addition to these products, we also highlight the progress we made to tie ARM data to the international climate modeling community through publishing ARMBE data in ESGF and making data available to the IPCC CMIP5. The future goals for all the LLNL ARM VAPs are also presented.
