Model output Hawaii tides Big Island harmonics\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nm2_btuamp (m2 barotropic u amplitude [m/s])\nm2_btuph (m2 barotropic u phase)\nm2_btvamp (m2 barotropic v amplitude [m/s])\nm2_btvph (m2 barotropic v phase)\nm2_bcsurfuamp (m2 surface baroclinic u amplitude [m/s])\nm2_bcsurfuph (m2 surface baroclinic u phase)\nm2_bcsurfvamp (m2 surface baroclinic v amplitude [m/s])\nm2_bcsurfvph (m2 surface baroclinic v phase)\nm2_bcmiduamp (m2 mid-depth baroclinic u amplitude [m/s])\nm2_bcmiduph (m2 mid-depth baroclinic u phase)\nm2_bcmidvamp (m2 mid-depth baroclinic v amplitude [m/s])\nm2_bcmidvph (m2 mid-depth baroclinic v phase)\nm2_bcbotuamp (m2 near bottom baroclinic u amplitude [m/s])\nm2_bcbotuph (m2 near bottom baroclinic u phase)\nm2_bcbotvamp (m2 near bottom baroclinic v amplitude [m/s])\nm2_bcbotvph (m2 near bottom baroclinic v phase)\nm2_surfuamp (m2 surface total u amplitude [m/s])\nm2_surfuph (m2 surface total u phase)\nm2_surfvamp (m2 surface total v amplitude [m/s])\nm2_surfvph (m2 surface total v phase)\nm2_miduamp (m2 mid-depth total u amplitude [m/s])\nm2_miduph (m2 mid-depth total u phase)\nm2_midvamp (m2 mid-depth total v amplitude [m/s])\nm2_midvph (m2 mid-depth total v phase)\nm2_botuamp (m2 near bottom total u amplitude [m/s])\nm2_botuph (m2 near bottom total u phase)\nm2_botvamp (m2 near bottom total v amplitude [m/s])\n... (214 more variables)\n
Model output Hawaii tides Big Island ssh\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nssh (tidal elevation [m])\n
Model output Hawaii tides Big Island velocity\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nsurfu (surface u [m/s])\nsurfv (surface v [m/s])\nmidu (mid-depth u [m/s])\nmidv (mid-depth v [m/s])\nbotu (near bottom u [m/s])\nbotv (near bottom v [m/s])\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1880-1910 Big Island MJJASO dry
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1880-1910 Big Island MJJASO dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1880-1910 Big Island MJJASO neutral
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1880-1910 Big Island MJJASO neutral\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1880-1910 Big Island MJJASO very dry
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1880-1910 Big Island MJJASO very dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1880-1910 Big Island MJJASO very wet
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1880-1910 Big Island MJJASO very wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1880-1910 Big Island MJJASO wet
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1880-1910 Big Island MJJASO wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1880-1910 Big Island NDJFMA dry
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1880-1910 Big Island NDJFMA dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1880-1910 Big Island NDJFMA neutral
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1880-1910 Big Island NDJFMA neutral\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1880-1910 Big Island NDJFMA very dry
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1880-1910 Big Island NDJFMA very dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1880-1910 Big Island NDJFMA very wet
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1880-1910 Big Island NDJFMA very wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1880-1910 Big Island NDJFMA wet
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1880-1910 Big Island NDJFMA wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1910-1940 Big Island MJJASO dry
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1910-1940 Big Island MJJASO dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1910-1940 Big Island MJJASO neutral
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1910-1940 Big Island MJJASO neutral\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1910-1940 Big Island MJJASO very dry
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1910-1940 Big Island MJJASO very dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1910-1940 Big Island MJJASO very wet
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1910-1940 Big Island MJJASO very wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1910-1940 Big Island MJJASO wet
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1910-1940 Big Island MJJASO wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1910-1940 Big Island NDJFMA dry
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1910-1940 Big Island NDJFMA dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1910-1940 Big Island NDJFMA neutral
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1910-1940 Big Island NDJFMA neutral\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1910-1940 Big Island NDJFMA very dry
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1910-1940 Big Island NDJFMA very dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1910-1940 Big Island NDJFMA very wet
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1910-1940 Big Island NDJFMA very wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1910-1940 Big Island NDJFMA wet
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1910-1940 Big Island NDJFMA wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1940-1970 Big Island MJJASO dry
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1940-1970 Big Island MJJASO dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1940-1970 Big Island MJJASO neutral
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1940-1970 Big Island MJJASO neutral\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1940-1970 Big Island MJJASO very dry
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1940-1970 Big Island MJJASO very dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1940-1970 Big Island MJJASO very wet
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1940-1970 Big Island MJJASO very wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1940-1970 Big Island MJJASO wet
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1940-1970 Big Island MJJASO wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1940-1970 Big Island NDJFMA dry
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1940-1970 Big Island NDJFMA dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1940-1970 Big Island NDJFMA neutral
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1940-1970 Big Island NDJFMA neutral\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1940-1970 Big Island NDJFMA very dry
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1940-1970 Big Island NDJFMA very dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1940-1970 Big Island NDJFMA very wet
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1940-1970 Big Island NDJFMA very wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1940-1970 Big Island NDJFMA wet
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1940-1970 Big Island NDJFMA wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1970-2000 Big Island MJJASO dry
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1970-2000 Big Island MJJASO dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1970-2000 Big Island MJJASO neutral
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1970-2000 Big Island MJJASO neutral\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1970-2000 Big Island MJJASO very dry
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1970-2000 Big Island MJJASO very dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1970-2000 Big Island MJJASO very wet
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1970-2000 Big Island MJJASO very wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1970-2000 Big Island MJJASO wet
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1970-2000 Big Island MJJASO wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1970-2000 Big Island NDJFMA dry
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1970-2000 Big Island NDJFMA dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1970-2000 Big Island NDJFMA neutral
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1970-2000 Big Island NDJFMA neutral\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1970-2000 Big Island NDJFMA very dry
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1970-2000 Big Island NDJFMA very dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1970-2000 Big Island NDJFMA very wet
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1970-2000 Big Island NDJFMA very wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1970-2000 Big Island NDJFMA wet
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1970-2000 Big Island NDJFMA wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1975-2005 Big Island MJJASO dry
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1975-2005 Big Island MJJASO dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1975-2005 Big Island MJJASO neutral
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1975-2005 Big Island MJJASO neutral\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1975-2005 Big Island MJJASO very dry
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1975-2005 Big Island MJJASO very dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1975-2005 Big Island MJJASO very wet
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1975-2005 Big Island MJJASO very wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1975-2005 Big Island MJJASO wet
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1975-2005 Big Island MJJASO wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1975-2005 Big Island NDJFMA dry
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1975-2005 Big Island NDJFMA dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1975-2005 Big Island NDJFMA neutral
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1975-2005 Big Island NDJFMA neutral\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1975-2005 Big Island NDJFMA very dry
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1975-2005 Big Island NDJFMA very dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1975-2005 Big Island NDJFMA very wet
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1975-2005 Big Island NDJFMA very wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1975-2005 Big Island NDJFMA wet
Model output statistical downscale Hawaii Anomaly classes HISTORICAL 1975-2005 Big Island NDJFMA wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP45 2011-2041 Big Island MJJASO dry
Model output statistical downscale Hawaii Anomaly classes RCP45 2011-2041 Big Island MJJASO dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP45 2011-2041 Big Island MJJASO neutral
Model output statistical downscale Hawaii Anomaly classes RCP45 2011-2041 Big Island MJJASO neutral\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP45 2011-2041 Big Island MJJASO very dry
Model output statistical downscale Hawaii Anomaly classes RCP45 2011-2041 Big Island MJJASO very dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP45 2011-2041 Big Island MJJASO very wet
Model output statistical downscale Hawaii Anomaly classes RCP45 2011-2041 Big Island MJJASO very wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP45 2011-2041 Big Island MJJASO wet
Model output statistical downscale Hawaii Anomaly classes RCP45 2011-2041 Big Island MJJASO wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP45 2011-2041 Big Island NDJFMA dry
Model output statistical downscale Hawaii Anomaly classes RCP45 2011-2041 Big Island NDJFMA dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP45 2011-2041 Big Island NDJFMA neutral
Model output statistical downscale Hawaii Anomaly classes RCP45 2011-2041 Big Island NDJFMA neutral\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP45 2011-2041 Big Island NDJFMA very dry
Model output statistical downscale Hawaii Anomaly classes RCP45 2011-2041 Big Island NDJFMA very dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP45 2011-2041 Big Island NDJFMA very wet
Model output statistical downscale Hawaii Anomaly classes RCP45 2011-2041 Big Island NDJFMA very wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP45 2011-2041 Big Island NDJFMA wet
Model output statistical downscale Hawaii Anomaly classes RCP45 2011-2041 Big Island NDJFMA wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP45 2031-2061 Big Island MJJASO dry
Model output statistical downscale Hawaii Anomaly classes RCP45 2031-2061 Big Island MJJASO dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP45 2031-2061 Big Island MJJASO neutral
Model output statistical downscale Hawaii Anomaly classes RCP45 2031-2061 Big Island MJJASO neutral\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP45 2031-2061 Big Island MJJASO very dry
Model output statistical downscale Hawaii Anomaly classes RCP45 2031-2061 Big Island MJJASO very dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP45 2031-2061 Big Island MJJASO very wet
Model output statistical downscale Hawaii Anomaly classes RCP45 2031-2061 Big Island MJJASO very wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP45 2031-2061 Big Island MJJASO wet
Model output statistical downscale Hawaii Anomaly classes RCP45 2031-2061 Big Island MJJASO wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP45 2031-2061 Big Island NDJFMA dry
Model output statistical downscale Hawaii Anomaly classes RCP45 2031-2061 Big Island NDJFMA dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP45 2031-2061 Big Island NDJFMA neutral
Model output statistical downscale Hawaii Anomaly classes RCP45 2031-2061 Big Island NDJFMA neutral\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP45 2031-2061 Big Island NDJFMA very dry
Model output statistical downscale Hawaii Anomaly classes RCP45 2031-2061 Big Island NDJFMA very dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP45 2031-2061 Big Island NDJFMA very wet
Model output statistical downscale Hawaii Anomaly classes RCP45 2031-2061 Big Island NDJFMA very wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP45 2031-2061 Big Island NDJFMA wet
Model output statistical downscale Hawaii Anomaly classes RCP45 2031-2061 Big Island NDJFMA wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP45 2041-2071 Big Island MJJASO dry
Model output statistical downscale Hawaii Anomaly classes RCP45 2041-2071 Big Island MJJASO dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP45 2041-2071 Big Island MJJASO neutral
Model output statistical downscale Hawaii Anomaly classes RCP45 2041-2071 Big Island MJJASO neutral\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP45 2041-2071 Big Island MJJASO very dry
Model output statistical downscale Hawaii Anomaly classes RCP45 2041-2071 Big Island MJJASO very dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP45 2041-2071 Big Island MJJASO very wet
Model output statistical downscale Hawaii Anomaly classes RCP45 2041-2071 Big Island MJJASO very wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP45 2041-2071 Big Island MJJASO wet
Model output statistical downscale Hawaii Anomaly classes RCP45 2041-2071 Big Island MJJASO wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP45 2041-2071 Big Island NDJFMA dry
Model output statistical downscale Hawaii Anomaly classes RCP45 2041-2071 Big Island NDJFMA dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP45 2041-2071 Big Island NDJFMA neutral
Model output statistical downscale Hawaii Anomaly classes RCP45 2041-2071 Big Island NDJFMA neutral\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP45 2041-2071 Big Island NDJFMA very dry
Model output statistical downscale Hawaii Anomaly classes RCP45 2041-2071 Big Island NDJFMA very dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP45 2041-2071 Big Island NDJFMA very wet
Model output statistical downscale Hawaii Anomaly classes RCP45 2041-2071 Big Island NDJFMA very wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP45 2041-2071 Big Island NDJFMA wet
Model output statistical downscale Hawaii Anomaly classes RCP45 2041-2071 Big Island NDJFMA wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP45 2071-2099 Big Island MJJASO dry
Model output statistical downscale Hawaii Anomaly classes RCP45 2071-2099 Big Island MJJASO dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP45 2071-2099 Big Island MJJASO neutral
Model output statistical downscale Hawaii Anomaly classes RCP45 2071-2099 Big Island MJJASO neutral\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP45 2071-2099 Big Island MJJASO very dry
Model output statistical downscale Hawaii Anomaly classes RCP45 2071-2099 Big Island MJJASO very dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP45 2071-2099 Big Island MJJASO very wet
Model output statistical downscale Hawaii Anomaly classes RCP45 2071-2099 Big Island MJJASO very wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP45 2071-2099 Big Island MJJASO wet
Model output statistical downscale Hawaii Anomaly classes RCP45 2071-2099 Big Island MJJASO wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP45 2071-2099 Big Island NDJFMA dry
Model output statistical downscale Hawaii Anomaly classes RCP45 2071-2099 Big Island NDJFMA dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP45 2071-2099 Big Island NDJFMA neutral
Model output statistical downscale Hawaii Anomaly classes RCP45 2071-2099 Big Island NDJFMA neutral\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP45 2071-2099 Big Island NDJFMA very dry
Model output statistical downscale Hawaii Anomaly classes RCP45 2071-2099 Big Island NDJFMA very dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP45 2071-2099 Big Island NDJFMA very wet
Model output statistical downscale Hawaii Anomaly classes RCP45 2071-2099 Big Island NDJFMA very wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP45 2071-2099 Big Island NDJFMA wet
Model output statistical downscale Hawaii Anomaly classes RCP45 2071-2099 Big Island NDJFMA wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP85 2011-2041 Big Island MJJASO dry
Model output statistical downscale Hawaii Anomaly classes RCP85 2011-2041 Big Island MJJASO dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP85 2011-2041 Big Island MJJASO neutral
Model output statistical downscale Hawaii Anomaly classes RCP85 2011-2041 Big Island MJJASO neutral\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP85 2011-2041 Big Island MJJASO very dry
Model output statistical downscale Hawaii Anomaly classes RCP85 2011-2041 Big Island MJJASO very dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP85 2011-2041 Big Island MJJASO very wet
Model output statistical downscale Hawaii Anomaly classes RCP85 2011-2041 Big Island MJJASO very wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP85 2011-2041 Big Island MJJASO wet
Model output statistical downscale Hawaii Anomaly classes RCP85 2011-2041 Big Island MJJASO wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP85 2011-2041 Big Island NDJFMA dry
Model output statistical downscale Hawaii Anomaly classes RCP85 2011-2041 Big Island NDJFMA dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP85 2011-2041 Big Island NDJFMA neutral
Model output statistical downscale Hawaii Anomaly classes RCP85 2011-2041 Big Island NDJFMA neutral\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP85 2011-2041 Big Island NDJFMA very dry
Model output statistical downscale Hawaii Anomaly classes RCP85 2011-2041 Big Island NDJFMA very dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP85 2011-2041 Big Island NDJFMA very wet
Model output statistical downscale Hawaii Anomaly classes RCP85 2011-2041 Big Island NDJFMA very wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP85 2011-2041 Big Island NDJFMA wet
Model output statistical downscale Hawaii Anomaly classes RCP85 2011-2041 Big Island NDJFMA wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP85 2031-2061 Big Island MJJASO dry
Model output statistical downscale Hawaii Anomaly classes RCP85 2031-2061 Big Island MJJASO dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP85 2031-2061 Big Island MJJASO neutral
Model output statistical downscale Hawaii Anomaly classes RCP85 2031-2061 Big Island MJJASO neutral\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP85 2031-2061 Big Island MJJASO very dry
Model output statistical downscale Hawaii Anomaly classes RCP85 2031-2061 Big Island MJJASO very dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP85 2031-2061 Big Island MJJASO very wet
Model output statistical downscale Hawaii Anomaly classes RCP85 2031-2061 Big Island MJJASO very wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP85 2031-2061 Big Island MJJASO wet
Model output statistical downscale Hawaii Anomaly classes RCP85 2031-2061 Big Island MJJASO wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP85 2031-2061 Big Island NDJFMA dry
Model output statistical downscale Hawaii Anomaly classes RCP85 2031-2061 Big Island NDJFMA dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP85 2031-2061 Big Island NDJFMA neutral
Model output statistical downscale Hawaii Anomaly classes RCP85 2031-2061 Big Island NDJFMA neutral\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP85 2031-2061 Big Island NDJFMA very dry
Model output statistical downscale Hawaii Anomaly classes RCP85 2031-2061 Big Island NDJFMA very dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP85 2031-2061 Big Island NDJFMA very wet
Model output statistical downscale Hawaii Anomaly classes RCP85 2031-2061 Big Island NDJFMA very wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP85 2031-2061 Big Island NDJFMA wet
Model output statistical downscale Hawaii Anomaly classes RCP85 2031-2061 Big Island NDJFMA wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP85 2041-2071 Big Island MJJASO dry
Model output statistical downscale Hawaii Anomaly classes RCP85 2041-2071 Big Island MJJASO dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP85 2041-2071 Big Island MJJASO neutral
Model output statistical downscale Hawaii Anomaly classes RCP85 2041-2071 Big Island MJJASO neutral\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP85 2041-2071 Big Island MJJASO very dry
Model output statistical downscale Hawaii Anomaly classes RCP85 2041-2071 Big Island MJJASO very dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP85 2041-2071 Big Island MJJASO very wet
Model output statistical downscale Hawaii Anomaly classes RCP85 2041-2071 Big Island MJJASO very wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP85 2041-2071 Big Island MJJASO wet
Model output statistical downscale Hawaii Anomaly classes RCP85 2041-2071 Big Island MJJASO wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP85 2041-2071 Big Island NDJFMA dry
Model output statistical downscale Hawaii Anomaly classes RCP85 2041-2071 Big Island NDJFMA dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP85 2041-2071 Big Island NDJFMA neutral
Model output statistical downscale Hawaii Anomaly classes RCP85 2041-2071 Big Island NDJFMA neutral\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP85 2041-2071 Big Island NDJFMA very dry
Model output statistical downscale Hawaii Anomaly classes RCP85 2041-2071 Big Island NDJFMA very dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP85 2041-2071 Big Island NDJFMA very wet
Model output statistical downscale Hawaii Anomaly classes RCP85 2041-2071 Big Island NDJFMA very wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP85 2041-2071 Big Island NDJFMA wet
Model output statistical downscale Hawaii Anomaly classes RCP85 2041-2071 Big Island NDJFMA wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP85 2071-2099 Big Island MJJASO dry
Model output statistical downscale Hawaii Anomaly classes RCP85 2071-2099 Big Island MJJASO dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP85 2071-2099 Big Island MJJASO neutral
Model output statistical downscale Hawaii Anomaly classes RCP85 2071-2099 Big Island MJJASO neutral\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP85 2071-2099 Big Island MJJASO very dry
Model output statistical downscale Hawaii Anomaly classes RCP85 2071-2099 Big Island MJJASO very dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP85 2071-2099 Big Island MJJASO very wet
Model output statistical downscale Hawaii Anomaly classes RCP85 2071-2099 Big Island MJJASO very wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP85 2071-2099 Big Island MJJASO wet
Model output statistical downscale Hawaii Anomaly classes RCP85 2071-2099 Big Island MJJASO wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP85 2071-2099 Big Island NDJFMA dry
Model output statistical downscale Hawaii Anomaly classes RCP85 2071-2099 Big Island NDJFMA dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP85 2071-2099 Big Island NDJFMA neutral
Model output statistical downscale Hawaii Anomaly classes RCP85 2071-2099 Big Island NDJFMA neutral\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP85 2071-2099 Big Island NDJFMA very dry
Model output statistical downscale Hawaii Anomaly classes RCP85 2071-2099 Big Island NDJFMA very dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP85 2071-2099 Big Island NDJFMA very wet
Model output statistical downscale Hawaii Anomaly classes RCP85 2071-2099 Big Island NDJFMA very wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Anomaly classes RCP85 2071-2099 Big Island NDJFMA wet
Model output statistical downscale Hawaii Anomaly classes RCP85 2071-2099 Big Island NDJFMA wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nfreq (frequency)\n
Model output statistical downscale Hawaii Cross validation 0.5min Big Island dry
Model output statistical downscale Hawaii Cross validation 0.5min Big Island dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nr (monte carlo cross validation correlation coefficient (rval))\nerr (krige error variance)\n
Model output statistical downscale Hawaii Cross validation 0.5min Big Island wet
Model output statistical downscale Hawaii Cross validation 0.5min Big Island wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nr (monte carlo cross validation correlation coefficient (rval))\nerr (krige error variance)\n
Model output statistical downscale Hawaii Cross validation 250m Big Island dry
Model output statistical downscale Hawaii Cross validation 250m Big Island dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nrval (correlation coefficient)\n
Model output statistical downscale Hawaii Cross validation 250m Big Island wet
Model output statistical downscale Hawaii Cross validation 250m Big Island wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nrval (correlation coefficient)\n
Model output statistical downscale Hawaii Cross validation 3km Big Island dry
Model output statistical downscale Hawaii Cross validation 3km Big Island dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nrval (correlation coefficient)\n
Model output statistical downscale Hawaii Cross validation 3km Big Island wet
Model output statistical downscale Hawaii Cross validation 3km Big Island wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nrval (correlation coefficient)\n
Model output statistical downscale Hawaii Scenario maps RCP45 0.5min 2041-2071 Big Island dry
Model output statistical downscale Hawaii Scenario maps RCP45 0.5min 2041-2071 Big Island dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\npr (precipitation anomaly)\nerr (krige error variance)\n
Model output statistical downscale Hawaii Scenario maps RCP45 0.5min 2041-2071 Big Island wet
Model output statistical downscale Hawaii Scenario maps RCP45 0.5min 2041-2071 Big Island wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\npr (precipitation anomaly)\nerr (krige error variance)\n
Model output statistical downscale Hawaii Scenario maps RCP45 0.5min 2071-2099 Big Island dry
Model output statistical downscale Hawaii Scenario maps RCP45 0.5min 2071-2099 Big Island dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\npr (precipitation anomaly)\nerr (krige error variance)\n
Model output statistical downscale Hawaii Scenario maps RCP45 0.5min 2071-2099 Big Island wet
Model output statistical downscale Hawaii Scenario maps RCP45 0.5min 2071-2099 Big Island wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\npr (precipitation anomaly)\nerr (krige error variance)\n
Model output statistical downscale Hawaii Scenario maps RCP85 0.5min 2041-2071 Big Island dry
Model output statistical downscale Hawaii Scenario maps RCP85 0.5min 2041-2071 Big Island dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\npr (precipitation anomaly)\nerr (krige error variance)\n
Model output statistical downscale Hawaii Scenario maps RCP85 0.5min 2041-2071 Big Island wet
Model output statistical downscale Hawaii Scenario maps RCP85 0.5min 2041-2071 Big Island wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\npr (precipitation anomaly)\nerr (krige error variance)\n
Model output statistical downscale Hawaii Scenario maps RCP85 0.5min 2071-2099 Big Island dry
Model output statistical downscale Hawaii Scenario maps RCP85 0.5min 2071-2099 Big Island dry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\npr (precipitation anomaly)\nerr (krige error variance)\n
Model output statistical downscale Hawaii Scenario maps RCP85 0.5min 2071-2099 Big Island wet
Model output statistical downscale Hawaii Scenario maps RCP85 0.5min 2071-2099 Big Island wet\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\npr (precipitation anomaly)\nerr (krige error variance)\n