TY - JOUR
T1 - The relative dispersion of cloud droplets
T2 - Its robustness with respect to key cloud properties
AU - Tas, E.
AU - Teller, A.
AU - Altaratz, O.
AU - Axisa, D.
AU - Bruintjes, R.
AU - Levin, Z.
AU - Koren, I.
N1 - Publisher Copyright: © Author(s) 2015.
PY - 2015/2/24
Y1 - 2015/2/24
N2 - Flight data measured in warm convective clouds near Istanbul in June 2008 were used to investigate the relative dispersion of cloud droplet size distribution. The relative dispersion (ε), defined as the ratio between the standard deviation (σ) of the cloud droplet size distribution and cloud droplet average radius (〈r〉), is a key factor in regional and global models. The relationship between ε and the clouds' microphysical and thermodynamic characteristics is examined. The results show that ε is constrained with average values in the range of ∼0.25-0.35. ε is shown not to be correlated with cloud droplet concentration or liquid water content (LWC). However, ε variance is shown to be sensitive to droplet concentration and LWC, suggesting smaller variability of ε in the clouds' most adiabatic regions. A criterion for use of in situ airborne measurement data for calculations of statistical moments (used in bulk microphysical schemes), based on the evaluation of ε, is suggested.
AB - Flight data measured in warm convective clouds near Istanbul in June 2008 were used to investigate the relative dispersion of cloud droplet size distribution. The relative dispersion (ε), defined as the ratio between the standard deviation (σ) of the cloud droplet size distribution and cloud droplet average radius (〈r〉), is a key factor in regional and global models. The relationship between ε and the clouds' microphysical and thermodynamic characteristics is examined. The results show that ε is constrained with average values in the range of ∼0.25-0.35. ε is shown not to be correlated with cloud droplet concentration or liquid water content (LWC). However, ε variance is shown to be sensitive to droplet concentration and LWC, suggesting smaller variability of ε in the clouds' most adiabatic regions. A criterion for use of in situ airborne measurement data for calculations of statistical moments (used in bulk microphysical schemes), based on the evaluation of ε, is suggested.
UR - http://www.scopus.com/inward/record.url?scp=84923553275&partnerID=8YFLogxK
U2 - https://doi.org/10.5194/acp-15-2009-2015
DO - https://doi.org/10.5194/acp-15-2009-2015
M3 - مقالة
SN - 1680-7316
VL - 15
SP - 2009
EP - 2017
JO - Atmospheric Chemistry and Physics
JF - Atmospheric Chemistry and Physics
IS - 4
ER -