Determining cloud forcing by cloud type from geostationary satellite data

Details Determining cloud forcing by cloud type from geostationary satellite data Determining cloud forcing by cloud type from geostationary satellite data

Apr 2005

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005georl..3208807f&link_type=abstract

Geophysical Research Letters, Volume 32, Issue 8, CiteID L08807

Physics

4

Atmospheric Processes: Climate Change And Variability (1616, 1635, 3309, 4215, 4513), Atmospheric Processes: Clouds And Cloud Feedbacks, Atmospheric Processes: Remote Sensing, Atmospheric Processes: Radiative Processes

Scientific paper

To fully attribute differences in cloud forcing between regions, or between models and observations, requires separation of the effects of different cloud types. This can only be achieved using data which resolve both day to day and diurnal variations. Here we propose a method which takes advantage of the high temporal resolution of geostationary data to estimate the contribution of individual cloud types to the monthly mean and monthly time-step mean cloud forcing in each grid-box. Details of the method are outlined, and data from the Meteosat-8 satellite for June 2004 are used to demonstrate its benefits.

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