OPeNDAP Data Access Form for maclwp_cloudlwpdiurnal_04_v1.nc4
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dataset: maclwp_cloudlwpdiurnal_04_v1.nc4

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Global Attributes
  • NC_GLOBAL
    • title: Multisensor Advanced Climatology of LWP (MAC-LWP) Cloud-Component Only LWP (CloudLWP) Diurnal Cycle Fit Parameters
    • Identifier_Product_DOI_Authority: http://dx.doi.org/
    • Identifier_Product_DOI: 10.5067/MEASURES/MACLWPD
    • 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). 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: Diurnal Cycle was fit to the following equation:\012 CloudLWP(T) = M + A1 cos(T-T1) + A2 cos 2(T-T2)\012 where the 5 fit parameters are {M,A1,T1,A2,T2}For cases where Nfit=1, the 2nd harmonic term was not used in the fit\012For cases where Nfit=0, no diurnal cycle was fit; only a mean is found.\012All times are effective local time in hours, LOCAL_TIME_HR.\012The effective local time in hours runs from 0-24 and is defined as:\012 LOCAL_TIME_HR = UTC_TIME_HR + LON/15
    • contacts: 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
Variables
lon[ lon= 0 ..359] (Type is Float32)
  • attributes
    • long_name: longitude
    • units: degrees_east
    • axis: X
    • bounds: lon_bnds
lon_bnds[ lon= 0 ..359] [ bnds= 0 ..1] (Type is Float32)
no attributes
lat[ lat= 0 ..179] (Type is Float32)
  • attributes
    • long_name: latitude
    • units: degrees_north
    • axis: Y
    • bounds: lat_bnds
lat_bnds[ lat= 0 ..179] [ bnds= 0 ..1] (Type is Float32)
no attributes
meanfit[ lat= 0 ..179] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • long_name: Diurnal Cycle Fitted M, the mean CloudLWP
    • units: g/m^2
    • missing_value: -999.000000
    • _FillValue: -999.000000
    • comment: See global attribute COMMENTS for details on fitting parameters and fitting equation.
amp1[ lat= 0 ..179] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • long_name: Diurnal Cycle Fitted A1, the first harmonic amplitude of CloudLWP
    • units: g/m^2
    • missing_value: -999.000000
    • _FillValue: -999.000000
    • comment: See global attribute COMMENTS for details on fitting parameters and fitting equation.
phase1[ lat= 0 ..179] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • long_name: Diurnal Cycle Fitted T1, the first harmonic phase of CloudLWP
    • units: hr
    • missing_value: -999.000000
    • _FillValue: -999.000000
    • comment: See global attribute COMMENTS for details on fitting parameters and fitting equation.
amp2[ lat= 0 ..179] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • long_name: Diurnal Cycle Fitted A2, the second harmonic amplitude of CloudLWP
    • units: g/m^2
    • missing_value: -999.000000
    • _FillValue: -999.000000
    • comment: See global attribute COMMENTS for details on fitting parameters and fitting equation.
phase2[ lat= 0 ..179] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • long_name: Diurnal Cycle Fitted T2, the second harmonic phase of CloudLWP
    • units: hr
    • missing_value: -999.000000
    • _FillValue: -999.000000
    • comment: See global attribute COMMENTS for details on fitting parameters and fitting equation.
error_meanfit[ lat= 0 ..179] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • long_name: Statistical Error on M (the mean CloudLWP)
    • units: g/m^2
    • missing_value: -999.000000
    • _FillValue: -999.000000
    • comment: See global attribute COMMENTS for details fitting parameters and fitting equation.
error_amp1[ lat= 0 ..179] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • long_name: Statistical Error on A1 (the first harmonic amplitude of CloudLWP)
    • units: g/m^2
    • missing_value: -999.000000
    • _FillValue: -999.000000
    • comment: See global attribute COMMENTS for details fitting parameters and fitting equation.
error_phase1[ lat= 0 ..179] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • long_name: Statistical Error on T1 (the first harmonic phase of CloudLWP)
    • units: hr
    • missing_value: -999.000000
    • _FillValue: -999.000000
    • comment: See global attribute COMMENTS for details fitting parameters and fitting equation.
error_amp2[ lat= 0 ..179] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • long_name: Statistical Error on A2 (the second harmonic amplitude of CloudLWP)
    • units: g/m^2
    • missing_value: -999.000000
    • _FillValue: -999.000000
    • comment: See global attribute COMMENTS for details fitting parameters and fitting equation.
error_phase2[ lat= 0 ..179] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • long_name: Statistical Error on T2 (the second harmonic phase of CloudLWP)
    • units: hr
    • missing_value: -999.000000
    • _FillValue: -999.000000
    • comment: See global attribute COMMENTS for details fitting parameters and fitting equation.
error_correlation_M_A1[ lat= 0 ..179] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • long_name: Statistical Error Correlation on M and A1
    • missing_value: -999.000000
    • _FillValue: -999.000000
    • comment: See global attribute COMMENTS for details fitting parameters and fitting equation.
error_correlation_M_T1[ lat= 0 ..179] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • long_name: Statistical Error Correlation on M and T1
    • missing_value: -999.000000
    • _FillValue: -999.000000
    • comment: See global attribute COMMENTS for details fitting parameters and fitting equation.
error_correlation_M_A2[ lat= 0 ..179] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • long_name: Statistical Error Correlation on M and A2
    • missing_value: -999.000000
    • _FillValue: -999.000000
    • comment: See global attribute COMMENTS for details fitting parameters and fitting equation.
error_correlation_M_T2[ lat= 0 ..179] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • long_name: Statistical Error Correlation on M and T2
    • missing_value: -999.000000
    • _FillValue: -999.000000
    • comment: See global attribute COMMENTS for details fitting parameters and fitting equation.
error_correlation_A1_T1[ lat= 0 ..179] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • long_name: Statistical Error Correlation on A1 and T1
    • missing_value: -999.000000
    • _FillValue: -999.000000
    • comment: See global attribute COMMENTS for details fitting parameters and fitting equation.
error_correlation_A1_A2[ lat= 0 ..179] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • long_name: Statistical Error Correlation on A1 and A2
    • missing_value: -999.000000
    • _FillValue: -999.000000
    • comment: See global attribute COMMENTS for details fitting parameters and fitting equation.
error_correlation_A1_T2[ lat= 0 ..179] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • long_name: Statistical Error Correlation on A1 and T2
    • missing_value: -999.000000
    • _FillValue: -999.000000
    • comment: See global attribute COMMENTS for details fitting parameters and fitting equation.
error_correlation_T1_A2[ lat= 0 ..179] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • long_name: Statistical Error Correlation on T1 and A2
    • missing_value: -999.000000
    • _FillValue: -999.000000
    • comment: See global attribute COMMENTS for details fitting parameters and fitting equation.
error_correlation_T1_T2[ lat= 0 ..179] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • long_name: Statistical Error Correlation on T1 and T2
    • missing_value: -999.000000
    • _FillValue: -999.000000
    • comment: See global attribute COMMENTS for details fitting parameters and fitting equation.
error_correlation_A2_T2[ lat= 0 ..179] [ lon= 0 ..359] (Grid of Float32 values)
  • attributes
    • long_name: Statistical Error Correlation on A2 and T2
    • missing_value: -999.000000
    • _FillValue: -999.000000
    • comment: See global attribute COMMENTS for details fitting parameters and fitting equation.
npoints[ lat= 0 ..179] [ lon= 0 ..359] (Grid of Int16 values)
  • attributes
    • long_name: Number of Satellite Overpasses contributing to the fit
    • missing_value: 0
    • _FillValue: 0
nfit[ lat= 0 ..179] [ lon= 0 ..359] (Grid of Int16 values)
  • attributes
    • long_name: Fitting Order performed. 0: M only; 1: {M,A1,T1}; 2: {M,A1,T1,A2,T2}
    • missing_value: -1
    • _FillValue: -1
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