Attributes {
    lon {
        String long_name "longitude";
        String units "degrees_east";
        String axis "X";
        String bounds "lon_bnds";
    }
    lon_bnds {
    }
    lat {
        String long_name "latitude";
        String units "degrees_north";
        String axis "Y";
        String bounds "lat_bnds";
    }
    lat_bnds {
    }
    meanfit {
        String long_name "Diurnal Cycle Fitted M, the mean CloudLWP";
        String units "g/m^2";
        Float32 missing_value -999.000000;
        Float32 _FillValue -999.000000;
        String comment "See global attribute COMMENTS for details on fitting parameters and fitting equation.";
    }
    amp1 {
        String long_name "Diurnal Cycle Fitted A1, the first harmonic amplitude of CloudLWP";
        String units "g/m^2";
        Float32 missing_value -999.000000;
        Float32 _FillValue -999.000000;
        String comment "See global attribute COMMENTS for details on fitting parameters and fitting equation.";
    }
    phase1 {
        String long_name "Diurnal Cycle Fitted T1, the first harmonic phase of CloudLWP";
        String units "hr";
        Float32 missing_value -999.000000;
        Float32 _FillValue -999.000000;
        String comment "See global attribute COMMENTS for details on fitting parameters and fitting equation.";
    }
    amp2 {
        String long_name "Diurnal Cycle Fitted A2, the second harmonic amplitude of CloudLWP";
        String units "g/m^2";
        Float32 missing_value -999.000000;
        Float32 _FillValue -999.000000;
        String comment "See global attribute COMMENTS for details on fitting parameters and fitting equation.";
    }
    phase2 {
        String long_name "Diurnal Cycle Fitted T2, the second harmonic phase of CloudLWP";
        String units "hr";
        Float32 missing_value -999.000000;
        Float32 _FillValue -999.000000;
        String comment "See global attribute COMMENTS for details on fitting parameters and fitting equation.";
    }
    error_meanfit {
        String long_name "Statistical Error on M (the mean CloudLWP)";
        String units "g/m^2";
        Float32 missing_value -999.000000;
        Float32 _FillValue -999.000000;
        String comment "See global attribute COMMENTS for details fitting parameters and fitting equation.";
    }
    error_amp1 {
        String long_name "Statistical Error on A1 (the first harmonic amplitude of CloudLWP)";
        String units "g/m^2";
        Float32 missing_value -999.000000;
        Float32 _FillValue -999.000000;
        String comment "See global attribute COMMENTS for details fitting parameters and fitting equation.";
    }
    error_phase1 {
        String long_name "Statistical Error on T1 (the first harmonic phase of CloudLWP)";
        String units "hr";
        Float32 missing_value -999.000000;
        Float32 _FillValue -999.000000;
        String comment "See global attribute COMMENTS for details fitting parameters and fitting equation.";
    }
    error_amp2 {
        String long_name "Statistical Error on A2 (the second harmonic amplitude of CloudLWP)";
        String units "g/m^2";
        Float32 missing_value -999.000000;
        Float32 _FillValue -999.000000;
        String comment "See global attribute COMMENTS for details fitting parameters and fitting equation.";
    }
    error_phase2 {
        String long_name "Statistical Error on T2 (the second harmonic phase of CloudLWP)";
        String units "hr";
        Float32 missing_value -999.000000;
        Float32 _FillValue -999.000000;
        String comment "See global attribute COMMENTS for details fitting parameters and fitting equation.";
    }
    error_correlation_M_A1 {
        String long_name "Statistical Error Correlation on M and A1";
        Float32 missing_value -999.000000;
        Float32 _FillValue -999.000000;
        String comment "See global attribute COMMENTS for details fitting parameters and fitting equation.";
    }
    error_correlation_M_T1 {
        String long_name "Statistical Error Correlation on M and T1";
        Float32 missing_value -999.000000;
        Float32 _FillValue -999.000000;
        String comment "See global attribute COMMENTS for details fitting parameters and fitting equation.";
    }
    error_correlation_M_A2 {
        String long_name "Statistical Error Correlation on M and A2";
        Float32 missing_value -999.000000;
        Float32 _FillValue -999.000000;
        String comment "See global attribute COMMENTS for details fitting parameters and fitting equation.";
    }
    error_correlation_M_T2 {
        String long_name "Statistical Error Correlation on M and T2";
        Float32 missing_value -999.000000;
        Float32 _FillValue -999.000000;
        String comment "See global attribute COMMENTS for details fitting parameters and fitting equation.";
    }
    error_correlation_A1_T1 {
        String long_name "Statistical Error Correlation on A1 and T1";
        Float32 missing_value -999.000000;
        Float32 _FillValue -999.000000;
        String comment "See global attribute COMMENTS for details fitting parameters and fitting equation.";
    }
    error_correlation_A1_A2 {
        String long_name "Statistical Error Correlation on A1 and A2";
        Float32 missing_value -999.000000;
        Float32 _FillValue -999.000000;
        String comment "See global attribute COMMENTS for details fitting parameters and fitting equation.";
    }
    error_correlation_A1_T2 {
        String long_name "Statistical Error Correlation on A1 and T2";
        Float32 missing_value -999.000000;
        Float32 _FillValue -999.000000;
        String comment "See global attribute COMMENTS for details fitting parameters and fitting equation.";
    }
    error_correlation_T1_A2 {
        String long_name "Statistical Error Correlation on T1 and A2";
        Float32 missing_value -999.000000;
        Float32 _FillValue -999.000000;
        String comment "See global attribute COMMENTS for details fitting parameters and fitting equation.";
    }
    error_correlation_T1_T2 {
        String long_name "Statistical Error Correlation on T1 and T2";
        Float32 missing_value -999.000000;
        Float32 _FillValue -999.000000;
        String comment "See global attribute COMMENTS for details fitting parameters and fitting equation.";
    }
    error_correlation_A2_T2 {
        String long_name "Statistical Error Correlation on A2 and T2";
        Float32 missing_value -999.000000;
        Float32 _FillValue -999.000000;
        String comment "See global attribute COMMENTS for details fitting parameters and fitting equation.";
    }
    npoints {
        String long_name "Number of Satellite Overpasses contributing to the fit";
        Int16 missing_value 0;
        Int16 _FillValue 0;
    }
    nfit {
        String long_name "Fitting Order performed.  0: M only; 1: {M,A1,T1}; 2: {M,A1,T1,A2,T2}";
        Int16 missing_value -1;
        Int16 _FillValue -1;
    }
    NC_GLOBAL {
        String title "Multisensor Advanced Climatology of LWP (MAC-LWP) Cloud-Component Only LWP (CloudLWP) Diurnal Cycle Fit Parameters";
        String Identifier_Product_DOI_Authority "http://dx.doi.org/";
        String Identifier_Product_DOI "10.5067/MEASURES/MACLWPD";
        String institution "Columbia University/NASA GISS, New York, NY; and Colorado State University, Fort Collins, CO";
        String 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.";
        String 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.";
        String references "MAC-LWP product and data fields are described in Elsaesser et al. 2017 (J. Climate).";
        String 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";
        String 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.";
        String Conventions "CF-1.6";
    }
}