Model output statistical downscale Hawaii delta-t RCP45 100m 2040-2069
Model output statistical downscale Hawaii delta-t RCP45 100m 2040-2069\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nmean (surface air temperature anomaly)\nensvar (error variance due to ensemble model spread)\nscalevar (error variance due to scaling function)\nlower (mean-2*stddev)\nupper (mean+2*stddev)\nmin (ensemble min (with -2*scaling error added))\nmax (ensemble max (with +2*scaling error added))\n
Model output statistical downscale Hawaii delta-t RCP45 100m 2070-2099
Model output statistical downscale Hawaii delta-t RCP45 100m 2070-2099\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nmean (surface air temperature anomaly)\nensvar (error variance due to ensemble model spread)\nscalevar (error variance due to scaling function)\nlower (mean-2*stddev)\nupper (mean+2*stddev)\nmin (ensemble min (with -2*scaling error added))\nmax (ensemble max (with +2*scaling error added))\n
Model output statistical downscale Hawaii delta-t RCP85 100m 2040-2069
Model output statistical downscale Hawaii delta-t RCP85 100m 2040-2069\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nmean (surface air temperature anomaly)\nensvar (error variance due to ensemble model spread)\nscalevar (error variance due to scaling function)\nlower (mean-2*stddev)\nupper (mean+2*stddev)\nmin (ensemble min (with -2*scaling error added))\nmax (ensemble max (with +2*scaling error added))\n
Model output statistical downscale Hawaii delta-t RCP85 100m 2070-2099
Model output statistical downscale Hawaii delta-t RCP85 100m 2070-2099\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nmean (surface air temperature anomaly)\nensvar (error variance due to ensemble model spread)\nscalevar (error variance due to scaling function)\nlower (mean-2*stddev)\nupper (mean+2*stddev)\nmin (ensemble min (with -2*scaling error added))\nmax (ensemble max (with +2*scaling error added))\n
Aquarius Optimum Interpolation (OI) SSS monthly mean (oisss spurs-1 monthly)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nsss (sea surface salinity, psu)\n
Aquarius SSS objectively interpolated onto a regular 0.25x0.25 grid (oisss spurs-1 weekly)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nsss (sea surface salinity, pss)\n
Aquarius Optimum Interpolation (OI) SSS monthly mean (oisss spurs-1 monthly v4)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nsss (sea surface salinity, psu)\n
Aquarius Optimum Interpolation (OI) SSS monthly mean (oisss spurs-1 weekly v4)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nsss (sea surface salinity, psu)\n
Reanalysis Data ORA-S3 hope scalar [TIME][LAT][LON]
Reanalysis Data ORA-S3 hope scalar\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nssh (sea level [m])\nmld (mixed layer depth [m])\nd20 (depth of 20-degree isotherm [m])\ntav300 (average potential temperature in the upper 300m [degc])\nqnet (net surface heat flux [w m**-2])\n
Surface CUrrents from a Diagnostic model (SCUD) spurs-2 current\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nu (u current m/s)\nv (v current m/s)\n