CMBE GFDL AM2 vs. CMBE - ASR · This work was performed under the auspices of the U.S. Department...

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This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344. LLNL-POST-425257 NCAR Download CMBE data and Statistical Summaries http://iop.archive.arm.gov/arm-iop/0showcase-data/cmbe/ Webpage with detailed description and plots http://science.arm.gov/wg/cpm/scm/data/best_estimate/ We created the statistical summaries files to provide a "best" estimate of these statistics based on our knowledge of the original CMBE data. Stringent quality control checks were used to exclude the outliers suspected to be due to missing data 1) Set surface and TOA shortwave radiative fluxes to zero when solar insolation < 0.5 W/m2 (night), 2) Linear interpolation for missing gaps <6hours (except soundings and NWP), 3) QC flags indicate how many valid data were used, 4) Remove suspicious data outliers due to missing data, 5) 30% valid data required for generating monthly means, 6) Minimum 3 years required for climatology (except for clouds over TWP sites). NCAR CAM3.5 vs. CMBE GFDL AM2 vs. CMBE Xie. S, R.B. McCoy, S.A. Klein, et al. 2010, “ARM CMBE Data”. BAMS., 91, 13–20. DOI: 10.1175/2009BAMS2891.1 . Annual Climatology at SGP Precipitation LH SH LWP PWV V (sonde) U (sonde) Diurnal cycle of cloud fraction, during summer months (JJA) at SGP (a) CMBE cloud fraction 1996-2007 (b) GFDL AM2 cloud fraction climatology CAM3.5 CMBE CAM3.5 - CMBE CMBE AM2

Transcript of CMBE GFDL AM2 vs. CMBE - ASR · This work was performed under the auspices of the U.S. Department...

Page 1: CMBE GFDL AM2 vs. CMBE - ASR · This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344.

This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344. LLNL-POST-425257

NCAR

Download CMBE data and Statistical Summaries http://iop.archive.arm.gov/arm-iop/0showcase-data/cmbe/

Webpage with detailed description and plots http://science.arm.gov/wg/cpm/scm/data/best_estimate/

We created the statistical summaries files to provide a "best" estimate of these statistics based on our knowledge of the original CMBE data.

Stringent quality control checks were used to exclude the outliers suspected to be due to missing data

1) Set surface and TOA shortwave radiative fluxes to zero when solar insolation < 0.5 W/m2 (night),

2) Linear interpolation for missing gaps <6hours (except soundings and NWP),

3) QC flags indicate how many valid data were used, 4) Remove suspicious data outliers due to missing

data, 5) 30% valid data required for generating monthly

means, 6) Minimum 3 years required for climatology (except

for clouds over TWP sites).

NCARCAM3.5vs.CMBE

GFDLAM2vs.CMBE

Xie. S, R.B. McCoy, S.A. Klein, et al. 2010, “ARM CMBE Data”. BAMS., 91, 13–20. DOI: 10.1175/2009BAMS2891.1 .

AnnualClimatologyatSGP

Precipitation

LH SH

LWP PWV

V(sonde)U(sonde)

Diurnal cycle of cloud fraction, during summer months (JJA) at SGP

(a)  CMBE cloud fraction 1996-2007

(b) GFDL AM2 cloud fraction climatology

CAM3.5 CMBE

CAM3.5 - CMBE

CMBE

AM2

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