Abstract
Aims: To develop a new satellite -based mixed-phase cloud retrieval algorithm for improving mixed-phase cloud liquid water path (LWP) retrievals by combining Moderate Resolution Imaging Spectroradiometer (MODIS), CloudSat, and Cloud -Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) measurements. Study Design:Algorithm development and evaluation by using collocated NASA A
Highlights
Clouds are important because of their roles in the global hydrological cycle and transport of heat and moisture from low latitudes towards the poles [1,2]
A mixed-phase cloud retrieval algorithm was developed for stratiform mixed-phase clouds by using multi sensor measurements from the NASA A-Train satellites
Similar to the operational Moderate Resolution Imaging Spectroradiometer (MODIS) algorithm, the following main assumptions were used in the forward model: (1) plane-parallel atmosphere with a liquid water layer over an ice layer representing stratiform mixed-phase clouds
Summary
Clouds are important because of their roles in the global hydrological cycle and transport of heat and moisture from low latitudes towards the poles [1,2]. [16] showed that middle-level stratiform mixed-phase cover is over 5% globally These mixedphase clouds have significant radiative impacts at the top of the atmosphere (TOA) and the surface [17].the properties and evolutions of these mixed-phase clouds are difficult to simulate [18,19]. Treating the stratiform mixed-phase clouds with two separate liquid and ice layers is a validapproximation for radiative transfer calculations, it does not fully describe the details of the mixedphase clouds These stratiform clouds with liquid dominated mixed-phase layer with ice virga below is commonly observed over the polar regions; study by Zhang, et al [16] showed that they are observed globally and have profound impact on the radiative balance of the earth
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