Satellite determination of stratus cloud microphysical properties

Paquita Zuidema, D. L. Hartmann

Research output: Contribution to journalArticle

41 Citations (Scopus)

Abstract

Satellite measurements of liquid water path from SSM/I, broadband albedo from ERBE, and cloud characteristics from ISCCP are used to study stratus regions. An average cloud liquid water path of 0.120 ± 0.032 kg m-2 is derived by dividing the average liquid water path for stratus areas by the fractional area coverage of cloud in the region. The diurnal range in this average cloud liquid water path is about 25%. Stratus cloud liquid water is positively correlated with cloud amount and is negatively correlated with low cloud-top temperature. Cloud liquid water path (LWP) and cloud albedo measurements are used to derive an effective droplet radius using the plane-parallel cloud albedo model of Slingo. -from Authors

Original languageEnglish (US)
Pages (from-to)1638-1657
Number of pages20
JournalJournal of Climate
Volume8
Issue number6
StatePublished - 1995
Externally publishedYes

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stratus
liquid
albedo
water
SSM-I
droplet

ASJC Scopus subject areas

  • Atmospheric Science

Cite this

Satellite determination of stratus cloud microphysical properties. / Zuidema, Paquita; Hartmann, D. L.

In: Journal of Climate, Vol. 8, No. 6, 1995, p. 1638-1657.

Research output: Contribution to journalArticle

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AB - Satellite measurements of liquid water path from SSM/I, broadband albedo from ERBE, and cloud characteristics from ISCCP are used to study stratus regions. An average cloud liquid water path of 0.120 ± 0.032 kg m-2 is derived by dividing the average liquid water path for stratus areas by the fractional area coverage of cloud in the region. The diurnal range in this average cloud liquid water path is about 25%. Stratus cloud liquid water is positively correlated with cloud amount and is negatively correlated with low cloud-top temperature. Cloud liquid water path (LWP) and cloud albedo measurements are used to derive an effective droplet radius using the plane-parallel cloud albedo model of Slingo. -from Authors

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