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Global Attributes:	institution: NOAA/ESRL Physical Sciences Division & CU/CIRES (325 Broadway R/PSD1, Boulder, CO 80305) institute_id: NOAA-ESRLandCIRES experiment_id: 20CRv2c source: 20CR 2010, Ensemble Kalman Filter. ocean (specified): HadISST1.1; atmosphere: NCEP GFS2008ex; sea ice (specified): HadISST1.1; land: Noah; version 2 model_id: ensda-v351 branch_time: 0.0 contact: gilbert.p.compo@noaa.gov references: Compo, G.P., J.S. Whitaker, P.D. Sardeshmukh, N. Matsui, R.J. Allan, X. Yin, B.E. Gleason, R.S Vose, G. Rutledge, P. Bessemoulin, S. Broennimann, M. Brunet, R.I. Crouthamel, A.N. Grant, P.Y. Groisman, P.D. Jones, M. Kruk, A.C. Kruger, G.J. Marshall, M. Maugeri, H.Y. Mok, O. Nordli, T.F. Ross, R.M. Trigo, X.L. Wang, S.D. Woodruff, and S.J. Worley, 2011: The Twentieth Century Reanalysis Project. Quarterly J. Roy. Meteorol. Soc., 137, 1-28. DOI: 10.1002/qj.776. Compo, G.P., J.S. Whitaker, and P.D. Sardeshmukh, 2006: Feasibility of a 100 year reanalysis using only surface pressure data. Bull. Amer. Met. Soc., 87, 175-190. Whitaker, J.S., G.P. Compo, X. Wei, and T.M. Hamill 2004: Reanalysis without radiosondes using ensemble data assimilation. Mon. Wea. Rev., 132, 1190-1200. webpage: go.usa.gov/XTd tracking_id: 7080eb03-7fff-4b69-9420-ee87cd41b4b3 mip_specs: CMIP5 source_id: 20CRv2c product: reanalysis frequency: mon creation_date: 2016-09-20T23:25:27Z history: 2016-09-20T23:25:27Z CMOR rewrote data to comply with CF standards and CREATE-IP requirements. Conventions: CF-1.4 project_id: CREATE-IP table_id: Table LImon (02 April 2010) 9295b7dce150012918d251fd376d698a title: Reanalysis output prepared for CREATE-IP modeling_realm: landIce land cmor_version: 2.9.1 citation: Compo, G.P., J.S. Whitaker, P.D. Sardeshmukh, N. Matsui, R.J. Allan, X. Yin, B.E. Gleason, R.S Vose, G. Rutledge, P. Bessemoulin, S. Broennimann, M. Brunet, R.I. Crouthamel, A.N. Grant, P.Y. Groisman, P.D. Jones, M. Kruk, A.C. Kruger, G.J. Marshall, M. Maugeri, H.Y. Mok, O. Nordli, T.F. Ross, R.M. Trigo, X.L. Wang, S.D. Woodruff, and S.J. Worley, 2011: The Twentieth Century Reanalysis Project. Quarterly J. Roy. Meteorol. Soc., 137, 1-28. DOI: 10.1002/qj.776. forcing_note: CO2, Sl, Vl, SST, 0z (0z is prognostic, SST is SODAsi.2c, Sl starts in 1944 repeating 11 year solar cycle prior, Vl is Sato et al. 1993). Additional information on the external forcings used in this reanalysis can be found at http://dx.doi.rog/10.1002/qj.776 observations: International Surface Pressure Databank version 3.2.9 assimilation_algorithm: Ensemble Kalman Filter comment: Data is from NOAA-CIRES 20th Century Reanalysis version 2c (4x/day). It consists of most variables interpolated to pressure surfaces from model (sigma) surfaces.

Variables:	lat: Array of 64 bit Reals [lat = 0..93] lat: bounds: lat_bnds units: degrees_north axis: Y long_name: latitude standard_name: latitude
	lat_bnds: Array of 64 bit Reals [lat = 0..93][bnds = 0..1] lat: bnds:
	lon: Array of 64 bit Reals [lon = 0..191] lon: bounds: lon_bnds units: degrees_east axis: X long_name: longitude standard_name: longitude
	lon_bnds: Array of 64 bit Reals [lon = 0..191][bnds = 0..1] lon: bnds:
	time: Array of 64 bit Reals [time = 0..1943] time: bounds: time_bnds units: days since 1800-1-1 00:00:0.0 calendar: gregorian axis: T long_name: time standard_name: time
	time_bnds: Array of 64 bit Reals [time = 0..1943][bnds = 0..1] time: bnds:
	lwsnl: Grid time: lat: lon: standard_name: liquid_water_content_of_snow_layer long_name: Liquid Water Content of Snow Layer comment: where land over land: compute the total mass of liquid water contained interstitially within the snow layer of the land portion of a grid cell divided by the area of the land portion of the cell. units: kg m-2 original_name: lwsnl cell_methods: time: mean area: mean where land cell_measures: area: areacella missing_value: 1.0E20 _FillValue: 1.0E20 associated_files: baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_landIce_fx_ensda-v351_20CR2vc_r0i0p0.nc areacella: areacella_fx_ensda-v351_20CR2vc_r0i0p0.nc statistic: Ensemble Mean statistic_method: Ensemble mean is calculated by averaging over all 56 ensemble members at each time step and then averaging mean over all time steps in a month
	lwsnlSprd: Grid time: lat: lon: standard_name: liquid_water_content_of_snow_layer long_name: Liquid Water Content of Snow Layer comment: where land over land: compute the total mass of liquid water contained interstitially within the snow layer of the land portion of a grid cell divided by the area of the land portion of the cell. units: kg m-2 original_name: lwsnl cell_methods: time: mean area: mean where land cell_measures: area: areacella missing_value: 1.0E20 _FillValue: 1.0E20 associated_files: baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_landIce_fx_ensda-v351_20CR2vc_r0i0p0.nc areacella: areacella_fx_ensda-v351_20CR2vc_r0i0p0.nc statistic: Ensemble Spread statistic_method: Standard deviation calculated by taking standard deviation of the 56 ensemble members at each time step and then averaging STD over all time steps in a month
	snc: Grid time: lat: lon: standard_name: surface_snow_area_fraction long_name: Snow Area Fraction comment: Fraction of each grid cell that is occupied by snow that rests on land portion of cell. units: % original_name: snc cell_methods: time: mean cell_measures: area: areacella missing_value: 1.0E20 _FillValue: 1.0E20 associated_files: baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_landIce_fx_ensda-v351_20CR2vc_r0i0p0.nc areacella: areacella_fx_ensda-v351_20CR2vc_r0i0p0.nc statistic_method: Ensemble mean is calculated by averaging over all 56 ensemble members at each time step and then averaging mean over all time steps in a month statistic: Ensemble Mean
	sncSprd: Grid time: lat: lon: standard_name: surface_snow_area_fraction long_name: Snow Area Fraction comment: Fraction of each grid cell that is occupied by snow that rests on land portion of cell. units: % original_name: snc cell_methods: time: mean cell_measures: area: areacella missing_value: 1.0E20 _FillValue: 1.0E20 associated_files: baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_landIce_fx_ensda-v351_20CR2vc_r0i0p0.nc areacella: areacella_fx_ensda-v351_20CR2vc_r0i0p0.nc statistic_method: Standard deviation calculated by taking standard deviation of the 56 ensemble members at each time step and then averaging STD over all time steps in a month statistic: Ensemble Spread
	snd: Grid time: lat: lon: standard_name: surface_snow_thickness long_name: Snow Depth comment: where land over land. Compute the mean thickness of snow in the land portion of the grid cell (averaging over the entire land portion, including the snow-free fraction. Report as 0.0 where the land fraction is 0. units: m original_name: snd cell_methods: time: mean area: mean where land cell_measures: area: areacella missing_value: 1.0E20 _FillValue: 1.0E20 associated_files: baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_landIce_fx_ensda-v351_20CR2vc_r0i0p0.nc areacella: areacella_fx_ensda-v351_20CR2vc_r0i0p0.nc statistic_method: Ensemble mean is calculated by averaging over all 56 ensemble members at each time step and then averaging mean over all time steps in a month statistic: Ensemble Mean
	sndSprd: Grid time: lat: lon: standard_name: surface_snow_thickness long_name: Snow Depth comment: where land over land. Compute the mean thickness of snow in the land portion of the grid cell (averaging over the entire land portion, including the snow-free fraction. Report as 0.0 where the land fraction is 0. units: m original_name: snd cell_methods: time: mean area: mean where land cell_measures: area: areacella missing_value: 1.0E20 _FillValue: 1.0E20 associated_files: baseURL: http://cmip-pcmdi.llnl.gov/CMIP5/dataLocation gridspecFile: gridspec_landIce_fx_ensda-v351_20CR2vc_r0i0p0.nc areacella: areacella_fx_ensda-v351_20CR2vc_r0i0p0.nc statistic_method: Standard deviation calculated by taking standard deviation of the 56 ensemble members at each time step and then averaging STD over all time steps in a month statistic: Ensemble Spread

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DDS:

Dataset {
    Float64 lat[lat = 94];
    Float64 lat_bnds[lat = 94][bnds = 2];
    Float64 lon[lon = 192];
    Float64 lon_bnds[lon = 192][bnds = 2];
    Float64 time[time = 1944];
    Float64 time_bnds[time = 1944][bnds = 2];
    Grid {
     ARRAY:
        Float32 lwsnl[time = 1944][lat = 94][lon = 192];
     MAPS:
        Float64 time[time = 1944];
        Float64 lat[lat = 94];
        Float64 lon[lon = 192];
    } lwsnl;
    Grid {
     ARRAY:
        Float32 lwsnlSprd[time = 1944][lat = 94][lon = 192];
     MAPS:
        Float64 time[time = 1944];
        Float64 lat[lat = 94];
        Float64 lon[lon = 192];
    } lwsnlSprd;
    Grid {
     ARRAY:
        Float32 snc[time = 1944][lat = 94][lon = 192];
     MAPS:
        Float64 time[time = 1944];
        Float64 lat[lat = 94];
        Float64 lon[lon = 192];
    } snc;
    Grid {
     ARRAY:
        Float32 sncSprd[time = 1944][lat = 94][lon = 192];
     MAPS:
        Float64 time[time = 1944];
        Float64 lat[lat = 94];
        Float64 lon[lon = 192];
    } sncSprd;
    Grid {
     ARRAY:
        Float32 snd[time = 1944][lat = 94][lon = 192];
     MAPS:
        Float64 time[time = 1944];
        Float64 lat[lat = 94];
        Float64 lon[lon = 192];
    } snd;
    Grid {
     ARRAY:
        Float32 sndSprd[time = 1944][lat = 94][lon = 192];
     MAPS:
        Float64 time[time = 1944];
        Float64 lat[lat = 94];
        Float64 lon[lon = 192];
    } sndSprd;
} bypass/CREATE-IP/reanalysis/20CRv2c/mon/landIce.ncml;

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