OPeNDAP Server Dataset Access Form
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Global Attributes:
HDF5_GLOBAL.title: Multisensor Advanced Climatology of LWP (MAC-LWP) Cloud+Rain LWP (TotalLWP) HDF5_GLOBAL.Identifier_Product_DOI_Authority: http://dx.doi.org/ HDF5_GLOBAL.Identifier_Product_DOI: 10.5067/MEASURES/MACTWPM 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; and NOAA Optimum Interpolation (OI) SST V2 dataset to invert cloud-only LWP to Total (cloud+rain) LWP based on cloud/rainwater partitioning strictly varying with SST. 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, created on Feb 2017, uses a cloud/rainfall partitioning equation to back-out TotalLWP from CloudLWP (based on SST). 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
totallwp
: Array of 32 bit Reals [time = 0..11][lat = 0..179][lon = 0..359]
time:
lat:
lon:
long_name: Monthly Average Total Cloud+Rain Liquid Water path units: g/m^2 missing_value: -999.0000000 _FillValue: -999.0000000 comment: Corrected for diurnal cycle. Contains both liquid cloud and rain components. origname: totallwp fullnamepath: /totallwp
totallwp_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 Total Cloud+Rain 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: totallwp_error fullnamepath: /totallwp_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 1989-01-01 00:00:00 axis: T origname: time fullnamepath: /time
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