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NC_GLOBAL
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title:
Multisensor Advanced Climatology of LWP (MAC-LWP) Cloud-Component Only LWP (CloudLWP)
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Identifier_Product_DOI_Authority:
http://dx.doi.org/
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Identifier_Product_DOI:
10.5067/MEASURES/MACLWPM
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institution:
Columbia University/NASA GISS, New York, NY; and Colorado State University, Fort Collins, CO
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source:
Based upon Remote Sensing Systems (RSS) V7 SSM/I, V7 SSMIS, V7 WindSat, V7 AMSR-E, V7 AMSR-2, V7 TMI, and V8.1 GMI 0.25 Degree Cloud LWP Retrievals. Co-located AMSR-E/MODIS data have revealed the presence of a bias in Cloud LWP (positive Cloud LWP when there should be none). Thus, all sensor and scene 0.25 Degree Cloud LWP data are bias-corrected to account for this discrepancy.
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history:
This MAC-LWP Version 1 field was created on Feb 2017. The MAC-LWP product, further described in Elsaesser et al. (2017, J. Climate), is an extension of the heritage UWisc CloudLWP climatology (O'Dell et al. 2008, J. Climate). The use of the latest Remote Sensing Systems (RSS) input datasets, several new satellite sensors, a total (cloud+rain) liquid water path field, and a cloud water bias correction are new relative to the UWisc product.
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references:
MAC-LWP product and data fields are described in Elsaesser et al. 2017 (J. Climate).
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comments:
Negative numbers should be treated as 0.0 for monthly cloud or total LWP. However, they must be taken into account (i.e. averaged) in climate studies that perform spatial/temporal averaging of these data to avoid biasing.
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contact:
Greg Elsaesser: gregory.elsaesser@columbia.edu; Chris O'Dell: odell@atmos.colostate.edu; Matt Lebsock: matthew.d.lebsock@jpl.nasa.gov; Frank Wentz: frank.wentz@remss.com.
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Conventions:
CF-1.6
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