ENHANCED CLOUD ALGORITHM FROM COLLOCATED CALIPSO, CLOUDSAT AND MODIS GLOBAL BOUNDARY LAYER LAPSE RATE STUDIES

被引:5
|
作者
Sun-Mack, Sunny [1 ]
Minnis, Patrick [2 ]
Kato, Seiji
Chen, Yan [1 ]
Yi, Yuhong [1 ]
Gibson, Sharon [1 ]
Heck, Pat [3 ]
Winker, Dave [2 ]
Ayers, Kirk [1 ]
机构
[1] SSAI, Hampton, VA 23666 USA
[2] NASA Langley Res Ctr, Hampton, VA USA
[3] CIMSS, Madison, WI USA
关键词
Lapse rate; CERES; MODIS; CALIPSO;
D O I
10.1109/IGARSS.2010.5649624
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Coincident profile information from CALIPSO's lidar and CloudSat's radar offers a unique opportunity to map the vertical structure of clouds over the globe with accuracies never before realized. At Langley NASA, both CALIPSO and CloudSat are collocated with each MODIS 1-km pixel to create a new data set named C3M (Figure 1). A year (July 2006 - June 2007) of C3M data is used to derive global lapse rate maps, as an enhancement to NASA Langley's CERES Cloud Property Retrieval System (CCPRS) [1]. The lapse rates are derived for boundary layer clouds using the the cloud-top temperature from Aqua MODIS level 1 data, skin temperature over ocean and surface temperature over land from the GMAO GEOS-4, and cloud-top height from CALIPSO. The derived global lapse rate maps are used to process a month of CERES-MODIS data to calculate cloud top heights, which are compared with CALIPSO cloud top height. The comparisons shows good agreement between CERES-MODIS and CALIPSO.
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页码:201 / 204
页数:4
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