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pixel number within the footprint. Figure 5 shows the impact of cloud fraction on the comparison between AMSR-E LWP MW and MODIS LWP 2.1 . In the figure, the correlation coefficients, R , and associated slopes, β , from linear regression are derived and plotted against the different partitioning of AMSR-E cloud fraction. It is seen that cloud fraction has a large impact on the correlation between AMSR-E LWP MW and MODIS LWP 2.1 . The two LWPs correlate well when the cloud fraction of AMSR
pixel number within the footprint. Figure 5 shows the impact of cloud fraction on the comparison between AMSR-E LWP MW and MODIS LWP 2.1 . In the figure, the correlation coefficients, R , and associated slopes, β , from linear regression are derived and plotted against the different partitioning of AMSR-E cloud fraction. It is seen that cloud fraction has a large impact on the correlation between AMSR-E LWP MW and MODIS LWP 2.1 . The two LWPs correlate well when the cloud fraction of AMSR