Statistical Summary Products for the CMBE Data Set

Renata McCoy Lawrence Livermore National Laboratory
Shaocheng Xie Lawrence Livermore National Laboratory
Stephen Klein Lawrence Livermore National Laboratory
Richard Neale NOAA - CIRES Climate Diagnostics Center
Jean-Christophe Golaz Geophysical Fluid Dynamics Laboratory/Univiversity Corporati
Yanluan Lin Geophysical Fluid Dynamics Laboratory

Category: Modeling

Working Group: Cloud Life Cycle

We present the new addition to the Climate Modeling Best Estimate (CMBE) data set that comprises a statistical summary of the CMBE data. It includes both monthly mean and monthly mean diurnal cycle and their climatologies for all the geophysical quantities contained in the CMBE datasets. The CMBE was created to serve the needs of climate model developers. It is a multi-year data set over the five primary ARM Climate Research Facility sites at the Southern Great Plains (SGP), North Slope of Alaska (NSA), and Tropical Western Pacific (TWP). It consists of cloud fraction (narrow field-of-view and total sky), liquid water path, precipitable water, and surface radiation fluxes; and (currently for SGP site only) soundings, surface precipitation, surface turbulent fluxes, surface meteorology fields, top-of-the-atmosphere radiative fluxes, and Numerical Weather Prediction (NWP) model analysis data. The purpose of the new summary data sets is to further increase the use and make it even easier to use the CMBE data for model comparison to the observational ARM data. The statistical summary data have been significantly quality control screened, to exclude the outliers suspected to be due to an instrument calibration or other data problems. The quality controls are described, and the use of these new statistical CMBE data sets is demonstrated in the comparison to the National Center for Atmospheric Research (NCAR) climate model and the Geophysical Fluid Dynamics Laboratory (GFDL) model.

http://science.arm.gov/workinggroup/cpm/scm/best_estimate.html

This poster will be displayed at ASR Science Team Meeting.

POSTER in PDF: for proper viewing, it should be viewed with Adobe Acrobat Reader. Download the latest version from the Adobe Reader website.