Statistics – Methodology
Scientific paper
May 2003
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003georl..30i..44a&link_type=abstract
Geophysical Research Letters, Volume 30, Issue 9, pp. 44-1, CiteID 1491, DOI 10.1029/2003GL017019
Statistics
Methodology
16
Global Change: Climate Dynamics (3309), Global Change: Remote Sensing, Global Change: Instruments And Techniques, Meteorology And Atmospheric Dynamics: Radiative Processes, Meteorology And Atmospheric Dynamics: Remote Sensing
Scientific paper
The greenhouse effect of cloud may be quantified as the difference between outgoing longwave radiation (OLR) and its clear-sky component (OLRc). Clear-sky measurements from satellite preferentially sample drier, more stable conditions relative to the monthly-mean state. The resulting observational bias is evident when OLRc is stratified by vertical motion; differences to climate model OLRc of 15 Wm-2 occur over warm regions of strong ascent. Using data from the ECMWF 40-year reanalysis, an estimate of cloud longwave radiative effect is made which is directly comparable with standard climate model diagnostics. The impact of this methodology on the cancellation of cloud longwave and shortwave radiative forcing in the tropics is estimated.
Allan Richard P.
Ringer Mark A.
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