Dataset Information

title: Multisensor Advanced Climatology of LWP (MAC-LWP) Cloud-Component Only LWP (CloudLWP)
Identifier_Product_DOI_Authority: http://dx.doi.org/
Identifier_Product_DOI: 10.5067/MEASURES/MACLWPM
institution: Columbia University/NASA GISS, New York, NY; and Colorado State University, Fort Collins, CO
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.
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.
references: MAC-LWP product and data fields are described in Elsaesser et al. 2017 (J. Climate).
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.
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.
Conventions: CF-1.6
Unlimited_Dimension: time


Variables in this Dataset

lon: Array of 32 bit Reals [lon = 0..359]
long_name: longitude
units: degrees_east
axis: X
bounds: lon_bnds
lon_bnds: Array of 32 bit Reals [lon = 0..359][bnds = 0..1]
lat: Array of 32 bit Reals [lat = 0..179]
long_name: latitude
units: degrees_north
axis: Y
bounds: lat_bnds
lat_bnds: Array of 32 bit Reals [lat = 0..179][bnds = 0..1]
time: Array of 16 bit Integers [time = 0..11]
long_name: Month index (0-11); 0=January, ..., 11=December
units: months since 2005-01-01 00:00:00
axis: T
cloudlwp: Grid
long_name: Monthly Average Cloud Liquid Water Path
units: g/m^2
missing_value: -999.000000
_FillValue: -999.000000
comment: Corrected for diurnal cycle. Contains cloud only; no rain component.
cloudlwp: Array of 32 bit Reals [time = 0..11][lat = 0..179][lon = 0..359]
long_name: Monthly Average Cloud Liquid Water Path
units: g/m^2
missing_value: -999.000000
_FillValue: -999.000000
comment: Corrected for diurnal cycle. Contains cloud only; no rain component.
time: Array of 16 bit Integers [time = 0..11]
long_name: Month index (0-11); 0=January, ..., 11=December
units: months since 2005-01-01 00:00:00
axis: T
lat: Array of 32 bit Reals [lat = 0..179]
long_name: latitude
units: degrees_north
axis: Y
bounds: lat_bnds
lon: Array of 32 bit Reals [lon = 0..359]
long_name: longitude
units: degrees_east
axis: X
bounds: lon_bnds
cloudlwp_error: Grid
long_name: 1-sigma Error on Monthly Average Cloud Liquid Water Path
units: g/m^2
missing_value: -999.000000
_FillValue: -999.000000
comment: Approximate statistical error only. Does not contain systematic errors, which are not fully known.
cloudlwp_error: Array of 32 bit Reals [time = 0..11][lat = 0..179][lon = 0..359]
long_name: 1-sigma Error on Monthly Average Cloud Liquid Water Path
units: g/m^2
missing_value: -999.000000
_FillValue: -999.000000
comment: Approximate statistical error only. Does not contain systematic errors, which are not fully known.
time: Array of 16 bit Integers [time = 0..11]
long_name: Month index (0-11); 0=January, ..., 11=December
units: months since 2005-01-01 00:00:00
axis: T
lat: Array of 32 bit Reals [lat = 0..179]
long_name: latitude
units: degrees_north
axis: Y
bounds: lat_bnds
lon: Array of 32 bit Reals [lon = 0..359]
long_name: longitude
units: degrees_east
axis: X
bounds: lon_bnds