OPeNDAP Server Dataset Access Form
Action:
Data URL:
Global Attributes:
HDF5_GLOBAL.title: Multisensor Advanced Climatology of LWP (MAC-LWP) Cloud-Component Only LWP (CloudLWP) HDF5_GLOBAL.Identifier_Product_DOI_Authority: http://dx.doi.org/ HDF5_GLOBAL.Identifier_Product_DOI: 10.5067/MEASURES/MACLWPM HDF5_GLOBAL.institution: Columbia University/NASA GISS, New York, NY; and Colorado State University, Fort Collins, CO HDF5_GLOBAL.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. HDF5_GLOBAL.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. HDF5_GLOBAL.references: MAC-LWP product and data fields are described in Elsaesser et al. 2017 (J. Climate). HDF5_GLOBAL.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. HDF5_GLOBAL.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. HDF5_GLOBAL.Conventions: CF-1.6 DODS_EXTRA.Unlimited_Dimension: time
Variables:
lon_bnds
: Array of 32 bit Reals [lon = 0..359][bnds = 0..1]
lon:
bnds:
origname: lon_bnds fullnamepath: /lon_bnds
lat_bnds
: Array of 32 bit Reals [lat = 0..179][bnds = 0..1]
lat:
bnds:
origname: lat_bnds fullnamepath: /lat_bnds
cloudlwp
: Array of 32 bit Reals [time = 0..11][lat = 0..179][lon = 0..359]
time:
lat:
lon:
long_name: Monthly Average Cloud Liquid Water Path units: g/m^2 missing_value: -999.0000000 _FillValue: -999.0000000 comment: Corrected for diurnal cycle. Contains cloud only; no rain component. origname: cloudlwp fullnamepath: /cloudlwp
cloudlwp_error
: Array of 32 bit Reals [time = 0..11][lat = 0..179][lon = 0..359]
time:
lat:
lon:
long_name: 1-sigma Error on Monthly Average Cloud Liquid Water Path units: g/m^2 missing_value: -999.0000000 _FillValue: -999.0000000 comment: Approximate statistical error only. Does not contain systematic errors, which are not fully known. origname: cloudlwp_error fullnamepath: /cloudlwp_error
bnds
: Array of 32 bit Reals [bnds = 0..1]
bnds:
lat
: Array of 32 bit Reals [lat = 0..179]
lat:
long_name: latitude units: degrees_north axis: Y bounds: lat_bnds origname: lat fullnamepath: /lat
lon
: Array of 32 bit Reals [lon = 0..359]
lon:
long_name: longitude units: degrees_east axis: X bounds: lon_bnds origname: lon fullnamepath: /lon
time
: Array of 16 bit Integers [time = 0..11]
time:
long_name: Month index (0-11); 0=January, ..., 11=December units: months since 1998-01-01 00:00:00 axis: T origname: time fullnamepath: /time
Send questions or comments to:
support@opendap.org