Adaptive climatology Ocean Color Climatology

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SST (Sea Surface Temperature, degree_Celsius,)
Chlorophyll (Chlorophyll Concentration, OC3 Algorithm, mg m^-3)


Adaptive climatology for the Gulf of Mexico, 2D fields

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SSH (Sea Surface Elevation, m)

Naval Research Laboratory, Stennis Space Center, MS


Adaptive climatology for the Gulf of Mexico, 3D fields

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
water_temp (Temperature, degree_Celsius)
water_u (U Velocity, m/s)
water_v (V Velocity, m/s)
salinity (psu)
sphy (Small Phytoplankton, micromoles N/L)
diatoms (micromoles N/L)
mezoo (Mesozooplankton, micromoles N/L)
mizoo (Microzooplankton, micromoles N/L)


Adaptive climatology Ocean Color Climatology

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
SST_avg (Sea Surface Temperature, degree_C)
Chlorophyll_avg (Chlorophyll Concentration, OCI Algorithm, mg m^-3)


CDR Leaf Area and Fraction of Absorbed Photosynthetically Active Radiation By time, latitude, longitude

Climate Data Record, Advanced Very High Resolution Radiometer (AVHRR) High Resolution Picture Transmission (HRPT) data from NOAA-18 for 2013, days 364 to 364, processed by the Long-Term Land Data Record (LTDR) project (v3.5.33) into Leaf Area, Fraction of Absorbed Photosynthetically Active Radiation and quality-control flags. Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
QA (quality control)
FAPAR (Fraction of Absorbed Photosynthetically Active Radiation, 1)
LAI (Leaf Area Index, 1)

NASA/GSFC/SED/ESD/HBSL/TIS/MODIS-LAND > MODIS Land Science Team, Terrestrial Information Systems, Hydrospheric and Biospheric Science Laboratory, Earth Sciences Division, Science and Exploration Directorate, GSFC, NASA


CDR Leaf Area and Fraction of Absorbed Photosynthetically Active Radiation, Preliminary By time, latitude, longitude

Climate Data Record, preliminary version, Advanced Very High Resolution Radiometer (AVHRR) High Resolution Picture Transmission (HRPT) data from NOAA-18 for 2013, days 364 to 364, processed by the Long-Term Land Data Record (LTDR) project (v3.5.33) into Leaf Area, Fraction of Absorbed Photosynthetically Active Radiation and quality-control flags. Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
LAI (Leaf Area Index, 1)
FAPAR (Fraction of Absorbed Photosynthetically Active Radiation, 1)
QA (quality control)


CDR Leaf Area and Fraction of Absorbed Photosynthetically Active Radiation, Preliminary lat_bnds By latitude, nv

Climate Data Record, preliminary version, Advanced Very High Resolution Radiometer (AVHRR) High Resolution Picture Transmission (HRPT) data from NOAA-18 for 2013, days 364 to 364, processed by the Long-Term Land Data Record (LTDR) project (v3.5.33) into Leaf Area, Fraction of Absorbed Photosynthetically Active Radiation and quality-control flags. lat_bnds Dimensioned By latitude, nv.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][nv]):
lat_bnds


CDR Leaf Area and Fraction of Absorbed Photosynthetically Active Radiation, Preliminary lon_bnds By longitude, nv

Climate Data Record, preliminary version, Advanced Very High Resolution Radiometer (AVHRR) High Resolution Picture Transmission (HRPT) data from NOAA-18 for 2013, days 364 to 364, processed by the Long-Term Land Data Record (LTDR) project (v3.5.33) into Leaf Area, Fraction of Absorbed Photosynthetically Active Radiation and quality-control flags. lon_bnds Dimensioned By longitude, nv.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [longitude][nv]):
lon_bnds


CFSR 3-D Isentropic Level (IPV), Monthly Means By time, isentrope, latitude, longitude

CFSR 3-D Isentropic Level (IPV), Monthly Means Dimensioned By time, isentrope, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][isentrope][latitude][longitude]):
Lapse_rate (Lapse rate (135_Hour AverageNforecasts) @ Isentropic (theta) level, K/m)
Montgomery_stream_function (Montgomery stream function (135_Hour AverageNforecasts) @ Isentropic (theta) level, m2.s-2)
Potential_vorticity (Potential vorticity (135_Hour AverageNforecasts) @ Isentropic (theta) level, K.m2.kg-1.s-1)
Relative_humidity (Relative humidity (135_Hour AverageNforecasts) @ Isentropic (theta) level, %)
Temperature (Temperature (135_Hour AverageNforecasts) @ Isentropic (theta) level, K)
Vertical_velocity_pressure (Vertical velocity (pressure) (135_Hour AverageNforecasts) @ Isentropic (theta) level, Pa/s)
u_component_of_wind (u-component of wind (135_Hour AverageNforecasts) @ Isentropic (theta) level, m/s)
v_component_of_wind (v-component of wind (135_Hour AverageNforecasts) @ Isentropic (theta) level, m/s)


CFSR 3-D Isentropic Level (IPV), Monthly Means Pressure_surface, Temperature_surface By time, latitude, longitude

CFSR 3-D Isentropic Level (IPV), Monthly Means Pressure_surface, Temperature_surface Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Pressure_surface (Pressure (135_Hour AverageNforecasts) @ Ground or water surface, Pa)
Temperature_surface (Temperature (135_Hour AverageNforecasts) @ Ground or water surface, K)


CFSR Energetics (EGY), Monthly Means By time, isobaric, latitude, longitude

CFSR Energetics (EGY), Monthly Means Dimensioned By time, isobaric, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][isobaric][latitude][longitude]):
Turbulent_kinetic_energy (Turbulent kinetic energy (135_Hour AverageNforecasts) @ Isobaric surface, J/kg)
COVMZ (COVMZ (135_Hour AverageNforecasts) @ Isobaric surface, m2/s2)
COVQVV (COVQVV (135_Hour AverageNforecasts) @ Isobaric surface, kg/kg.Pa/s)
COVQQ (COVQQ (135_Hour AverageNforecasts) @ Isobaric surface, kg/kg.kg/kg)
COVVVVV (COVVVVV (135_Hour AverageNforecasts) @ Isobaric surface, Pa2/s2)
COVTT (COVTT (135_Hour AverageNforecasts) @ Isobaric surface, K.K)
COVTZ (COVTZ (135_Hour AverageNforecasts) @ Isobaric surface, K.m/s)
COVTM (COVTM (135_Hour AverageNforecasts) @ Isobaric surface, K.m/s)
COVZZ (COVZZ (135_Hour AverageNforecasts) @ Isobaric surface, m2/s2)
COVMM (COVMM (135_Hour AverageNforecasts) @ Isobaric surface, m2/s2)
COVQZ (COVQZ (135_Hour AverageNforecasts) @ Isobaric surface, kg/kg.m/s)
COVQM (COVQM (135_Hour AverageNforecasts) @ Isobaric surface, kg/kg.m/s)
COVTVV (COVTVV (135_Hour AverageNforecasts) @ Isobaric surface, K.Pa/s)


CFSR Energetics (EGY), Monthly Means COVPSPS_surface By time, latitude, longitude

CFSR Energetics (EGY), Monthly Means COVPSPS_surface Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
COVPSPS_surface (COVPSPS (135_Hour AverageNforecasts) @ Ground or water surface, Pa.Pa)


CFSR Ocean (OCN) Monthly Means By time, depth_below_sea, latitude, longitude

CFSR Ocean (OCN) Monthly Means Dimensioned By time, depth_below_sea, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth_below_sea][latitude][longitude]):
Potential_temperature (Potential temperature (130_Hour AverageAvg-6hourIntv) @ Depth below sea level, K)
Salinity (Salinity (130_Hour AverageAvg-6hourIntv) @ Depth below sea level, kg/kg)
Vertical_velocity_geometric (Vertical velocity (geometric) (130_Hour AverageAvg-6hourIntv) @ Depth below sea level, m/s)
u_component_of_current (u-component of current (130_Hour AverageAvg-6hourIntv) @ Depth below sea level, m/s)
v_component_of_current (v-component of current (130_Hour AverageAvg-6hourIntv) @ Depth below sea level, m/s)


CFSR Ocean (OCN) Monthly Means By time, latitude, longitude

CFSR Ocean (OCN) Monthly Means Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Ice_cover_surface (Ice cover (130_Hour AverageAvg-6hourIntv) @ Ground or water surface)
Ice_thickness_surface (Ice thickness (130_Hour AverageAvg-6hourIntv) @ Ground or water surface, m)
Momentum_flux_u_component_surface (Momentum flux, u-component (130_Hour AverageAvg-6hourIntv) @ Ground or water surface, N.m-2)
Momentum_flux_v_component_surface (Momentum flux, v-component (130_Hour AverageAvg-6hourIntv) @ Ground or water surface, N.m-2)
Snow_depth_surface (Snow depth (130_Hour AverageAvg-6hourIntv) @ Ground or water surface, m)
Temperature_surface (Temperature (130_Hour AverageAvg-6hourIntv) @ Ground or water surface, K)
Total_Downward_Heat_Flux_at_Surface_surface (Total Downward Heat Flux at Surface (130_Hour AverageAvg-6hourIntv) @ Ground or water surface, W.m-2)
Tropical_Cyclone_Heat_Potential_ocean_surface_and_26C_isothermal_layer (Tropical Cyclone Heat Potential (130_Hour AverageAvg-6hourIntv) @ Layer Ocean Surface and 26C Ocean Isothermal Level layer, Jm-2K)
Evaporation___Precipitation_surface (Evaporation - Precipitation (130_Hour AverageAvg-6hourIntv) @ Ground or water surface, cm/day)
Sea_Surface_Height_Relative_to_Geoid_surface (Sea Surface Height Relative to Geoid (130_Hour AverageAvg-6hourIntv) @ Ground or water surface, m)
Ocean_Heat_Content_layer_between_two_depths_below_ocean_layer (Ocean Heat Content (130_Hour AverageAvg-6hourIntv) @ Layer between two depths below ocean surface layer, J.m-2)
u_component_of_ice_drift_surface (u-component of ice drift (130_Hour AverageAvg-6hourIntv) @ Ground or water surface, m/s)
v_component_of_ice_drift_surface (v-component of ice drift (130_Hour AverageAvg-6hourIntv) @ Ground or water surface, m/s)


CFSR Ocean (OCN) Monthly Means Geometric_Depth_Below_Sea_Surface_bottom_of_ocean_isothermal_layer By time, bottom_of_ocean_isothermal_layer, latitude, longitude

CFSR Ocean (OCN) Monthly Means Geometric_Depth_Below_Sea_Surface_bottom_of_ocean_isothermal_layer Dimensioned By time, bottom_of_ocean_isothermal_layer, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][bottom_of_ocean_isothermal_layer][latitude][longitude]):
Geometric_Depth_Below_Sea_Surface_bottom_of_ocean_isothermal_layer (Geometric Depth Below Sea Surface (130_Hour AverageAvg-6hourIntv) @ Bottom of ocean isothermal layer layer, m)


CFSR Ocean (OCN) Monthly Means Geometric_Depth_Below_Sea_Surface_bottom_of_ocean_mixed_layer By time, bottom_of_ocean_mixed_layer, latitude, longitude

CFSR Ocean (OCN) Monthly Means Geometric_Depth_Below_Sea_Surface_bottom_of_ocean_mixed_layer Dimensioned By time, bottom_of_ocean_mixed_layer, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][bottom_of_ocean_mixed_layer][latitude][longitude]):
Geometric_Depth_Below_Sea_Surface_bottom_of_ocean_mixed_layer (Geometric Depth Below Sea Surface (130_Hour AverageAvg-6hourIntv) @ Bottom of ocean mixed layer layer, m)


Globale HYCOM Surface, 2-dimensional time series fields from the best time series aggregation.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
surf_el (Water Surface Elevation, meter)

Naval Oceanographic Office via NOAA NCEI


Global HYCOM Surace, 3-dimensional time series fields from the best time series aggregation

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
water_temp (Water Temperature, degC)
water_u (Eastward Water Velocity, meters/second)
water_v (Northward Water Velocity, meters/second)
salinity (psu)


Global NCOM for Region 01, 2D aggregation

Global NCOM for Region 1, 2D field aggregation best time series

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
surf_el (Water Surface Elevation, meter)


Global NCOM for Region 01, 3D aggregation

Global NCOM for Region 1, 3-dimensional time series fields from the best time series aggregation.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
water_temp (Water Temperature, degC)
water_u (Eastward Water Velocity, meter/sec)
water_v (Northward Water Velocity, meter/sec)
salinity (psu)


Global NCOM for Region 02, 2D aggregation

Global NCOM for Region 2, 2D field aggregation best time series

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
surf_el (Water Surface Elevation, meter)


Global NCOM for Region 02, 3D aggregation

Global NCOM for Region 2, 3-dimensional time series fields from the best time series aggregation.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
water_temp (Water Temperature, degC)
water_u (Eastward Water Velocity, meter/sec)
water_v (Northward Water Velocity, meter/sec)
salinity (psu)


Global NCOM for Region 05, 2D aggregation

Global NCOM for Region 5, 2D field aggregation best time series

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
surf_el (Water Surface Elevation, meter)


Global NCOM for Region 05, 3D aggregation

Global NCOM for Region 5, 3-dimensional time series fields from the best time series aggregation

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
water_temp (Water Temperature, degC)
water_u (Eastward Water Velocity, meter/sec)
water_v (Northward Water Velocity, meter/sec)
salinity (psu)


Global NCOM for Region 06, 2D aggregation

Global NCOM for Region 6, 2D field aggregation best time series

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
surf_el (Water Surface Elevation, meter)


Global NCOM for Region 06, 3D aggregation

Global NCOM for Region 6, 3-dimensional time series fields from the best time series aggregation.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
water_temp (Water Temperature, degC)
water_u (Eastward Water Velocity, meter/sec)
water_v (Northward Water Velocity, meter/sec)
salinity (psu)

Naval Oceanographic Office via NOAA NCEI


Global NCOM for Region 07, 2D aggregation

Global NCOM for Region 7, 2D field aggregation best time series

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
surf_el (Water Surface Elevation, meter)


Global NCOM for Region 07, 3D aggregation

Global NCOM for Region 7, 3-dimensional time series fields from the best time series aggregation

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
water_temp (Water Temperature, degC)
water_u (Eastward Water Velocity, meter/sec)
water_v (Northward Water Velocity, meter/sec)
salinity (psu)


Global NCOM for Region 10, 2D aggregation

Global NCOM for Region 10, 2D field aggregation best time series

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
surf_el (Water Surface Elevation, meter)


Global NCOM for Region 10, 3D aggregation

Global NCOM for Region 10, 3-dimensional time series fields from the best time series aggregation

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
water_temp (Water Temperature, degC)
water_u (Eastward Water Velocity, meter/sec)
water_v (Northward Water Velocity, meter/sec)
salinity (psu)


Global NCOM SFC 8, 3-dimensional time series fields from the best time series aggregation

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
water_temp (Water Temperature, degC)
water_u (Eastward Water Velocity, m/s)
water_v (Northward Water Velocity, m/s)
salinity (psu)
surf_el (Water Surface Elevation, meters)


Historic Land Cover Change, Area Vegetation, HH By latitude, longitude

Historic Land Cover Change, Area Vegetation, HH Dimensioned By latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
Mask (Land/Ocean Spatial Mask)
Regionmask (The region each land grid point belongs to)
Grid_area (Area of Land Grid cells, m2)

University of Illinois at Urbana-Champaign


Historic Land Cover Change, Area Vegetation, HH By time, latitude, longitude

Historic Land Cover Change, Area Vegetation, HH Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Dominant_type (Dominant land cover type within each land grid cells)
TrpEBF (Tropical Evergreen Broadleaf Forest)
TrpDBF (Tropical Deciduous Broadleaf Forest)
TmpEBF (Temperate Evergreen Broadleaf Forest)
TmpENF (Temperate Evergreen Needleleaf Forest)
TmpDBF (Temperate Deciduous Broadleaf Forest)
BorENF (Boreal Evergreen Needleleaf Forest)
BorDNF (Boreal Deciduous Needleleaf Forest)
Savanna
C3grass (Grasslands/Steppe following C3 photosynthetic pathway)
C4grass (Grasslands/Steppe following C4 photosynthetic pathway)
Denseshrub (Dense Shrublands)
Openshrub (Open Shrublands)
Tundra
Desert
PdRI (Polar Desert/Rock/Ice)
SecTrpEBF (Secondary Tropical Evergreen Broadleaf Forest)
SecTrpDBF (Secondary Tropical Deciduous Broadleaf Forest)
SecTmpEBF (Secondary Temperate Evergreen Broadleaf Forest)
SecTmpENF (Secondary Temperate Evergreen Needleleaf Forest)
SecTmpDBF (Secondary Temperate Deciduous Broadleaf Forest)
SecBorENF (Secondary Boreal Evergreen Needleleaf Forest)
SecBorDNF (Secondary Boreal Deciduous Needleleaf Forest)
Water (Water/Rivers (over land grid cells))
C3crop (Cropland following C3 photosynthetic pathway)
C4crop (Cropland following C4 photosynthetic pathway)
C3past (Pastureland following C3 photosynthetic pathway)
C4past (Pastureland following C4 photosynthetic pathway)
Urban (Urbanland)


Historic Land Cover Change, Area Vegetation, HH latitude_bounds By latitude, bounds

Historic Land Cover Change, Area Vegetation, HH latitude_bounds Dimensioned By latitude, bounds.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][bounds]):
latitude_bounds


Historic Land Cover Change, Area Vegetation, HH longitude_bounds By longitude, bounds

Historic Land Cover Change, Area Vegetation, HH longitude_bounds Dimensioned By longitude, bounds.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [longitude][bounds]):
longitude_bounds


Historic Land Cover Change, Area Vegetation, HH time_bounds By time, bounds_dim

Historic Land Cover Change, Area Vegetation, HH time_bounds Dimensioned By time, bounds_dim.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][bounds_dim]):
time_bounds (bounds for time)


Historic Land Cover Change, Area Vegetation, Hyde By latitude, longitude

Historic Land Cover Change, Area Vegetation, Hyde Dimensioned By latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
Mask (Land/Ocean Spatial Mask)
Regionmask (The region each land grid point belongs to)
Grid_area (Area of Land Grid cells, m2)


Historic Land Cover Change, Area Vegetation, Hyde By time, latitude, longitude

Historic Land Cover Change, Area Vegetation, Hyde Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Dominant_type (Dominant land cover type within each land grid cells)
TrpEBF (Tropical Evergreen Broadleaf Forest)
TrpDBF (Tropical Deciduous Broadleaf Forest)
TmpEBF (Temperate Evergreen Broadleaf Forest)
TmpENF (Temperate Evergreen Needleleaf Forest)
TmpDBF (Temperate Deciduous Broadleaf Forest)
BorENF (Boreal Evergreen Needleleaf Forest)
BorDNF (Boreal Deciduous Needleleaf Forest)
Savanna
C3grass (Grasslands/Steppe following C3 photosynthetic pathway)
C4grass (Grasslands/Steppe following C4 photosynthetic pathway)
Denseshrub (Dense Shrublands)
Openshrub (Open Shrublands)
Tundra
Desert
PdRI (Polar Desert/Rock/Ice)
SecTrpEBF (Secondary Tropical Evergreen Broadleaf Forest)
SecTrpDBF (Secondary Tropical Deciduous Broadleaf Forest)
SecTmpEBF (Secondary Temperate Evergreen Broadleaf Forest)
SecTmpENF (Secondary Temperate Evergreen Needleleaf Forest)
SecTmpDBF (Secondary Temperate Deciduous Broadleaf Forest)
SecBorENF (Secondary Boreal Evergreen Needleleaf Forest)
SecBorDNF (Secondary Boreal Deciduous Needleleaf Forest)
Water (Water/Rivers (over land grid cells))
C3crop (Cropland following C3 photosynthetic pathway)
C4crop (Cropland following C4 photosynthetic pathway)
C3past (Pastureland following C3 photosynthetic pathway)
C4past (Pastureland following C4 photosynthetic pathway)
Urban (Urbanland)


Historic Land Cover Change, Area Vegetation, Hyde latitude_bounds By latitude, bounds

Historic Land Cover Change, Area Vegetation, Hyde latitude_bounds Dimensioned By latitude, bounds.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][bounds]):
latitude_bounds


Historic Land Cover Change, Area Vegetation, Hyde longitude_bounds By longitude, bounds

Historic Land Cover Change, Area Vegetation, Hyde longitude_bounds Dimensioned By longitude, bounds.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [longitude][bounds]):
longitude_bounds

University of Illinois at Urbana-Champaign


Historic Land Cover Change, Area Vegetation, Hyde time_bounds By time, bounds_dim

Historic Land Cover Change, Area Vegetation, Hyde time_bounds Dimensioned By time, bounds_dim.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][bounds_dim]):
time_bounds (bounds for time)


Historic Land Cover Change, Area Vegetation, RF By latitude, longitude

Historic Land Cover Change, Area Vegetation, RF Dimensioned By latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][longitude]):
Mask (Land/Ocean Spatial Mask)
Regionmask (The region each land grid point belongs to)
Grid_area (Area of Land Grid cells, m2)


Historic Land Cover Change, Area Vegetation, RF By time, latitude, longitude

Historic Land Cover Change, Area Vegetation, RF Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Dominant_type (Dominant land cover type within each land grid cells)
TrpEBF (Tropical Evergreen Broadleaf Forest)
TrpDBF (Tropical Deciduous Broadleaf Forest)
TmpEBF (Temperate Evergreen Broadleaf Forest)
TmpENF (Temperate Evergreen Needleleaf Forest)
TmpDBF (Temperate Deciduous Broadleaf Forest)
BorENF (Boreal Evergreen Needleleaf Forest)
BorDNF (Boreal Deciduous Needleleaf Forest)
Savanna
C3grass (Grasslands/Steppe following C3 photosynthetic pathway)
C4grass (Grasslands/Steppe following C4 photosynthetic pathway)
Denseshrub (Dense Shrublands)
Openshrub (Open Shrublands)
Tundra
Desert
PdRI (Polar Desert/Rock/Ice)
SecTrpEBF (Secondary Tropical Evergreen Broadleaf Forest)
SecTrpDBF (Secondary Tropical Deciduous Broadleaf Forest)
SecTmpEBF (Secondary Temperate Evergreen Broadleaf Forest)
SecTmpENF (Secondary Temperate Evergreen Needleleaf Forest)
SecTmpDBF (Secondary Temperate Deciduous Broadleaf Forest)
SecBorENF (Secondary Boreal Evergreen Needleleaf Forest)
SecBorDNF (Secondary Boreal Deciduous Needleleaf Forest)
Water (Water/Rivers (over land grid cells))
C3crop (Cropland following C3 photosynthetic pathway)
C4crop (Cropland following C4 photosynthetic pathway)
C3past (Pastureland following C3 photosynthetic pathway)
C4past (Pastureland following C4 photosynthetic pathway)
Urban (Urbanland)


Historic Land Cover Change, Area Vegetation, RF latitude_bounds By latitude, bounds

Historic Land Cover Change, Area Vegetation, RF latitude_bounds Dimensioned By latitude, bounds.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][bounds]):
latitude_bounds


Historic Land Cover Change, Area Vegetation, RF longitude_bounds By longitude, bounds

Historic Land Cover Change, Area Vegetation, RF longitude_bounds Dimensioned By longitude, bounds.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [longitude][bounds]):
longitude_bounds


Historic Land Cover Change, Area Vegetation, RF time_bounds By time, bounds_dim

Historic Land Cover Change, Area Vegetation, RF time_bounds Dimensioned By time, bounds_dim.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][bounds_dim]):
time_bounds (bounds for time)


HYCOM Region 1 Data

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
surf_el (Water Surface Elevation, meter)

Naval Oceanographic Office via NOAA NCEI


HYCOM Region 1 Data

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
water_temp (Water Temperature, degC)
salinity (psu)
water_u (Eastward Water Velocity, meters/second)
water_v (Northward Water Velocity, meters/second)


HYCOM Region 17 Data

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
surf_el (Water Surface Elevation, meter)


HYCOM Region 17 Data

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
water_temp (Water Temperature, degC)
salinity (psu)
water_u (Eastward Water Velocity, meters/second)
water_v (Northward Water Velocity, meters/second)


HYCOM Region 6 Data

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
surf_el (Water Surface Elevation, meter)


HYCOM Region 6 Data

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
water_temp (Water Temperature, degC)
salinity (psu)
water_u (Eastward Water Velocity, meters/second)
water_v (Northward Water Velocity, meters/second)


HYCOM Region 7 Data

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
surf_el (Water Surface Elevation, meter)


HYCOM Region 7 Data

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
water_temp (Water Temperature, degC)
salinity (psu)
water_u (Eastward Water Velocity, meters/second)
water_v (Northward Water Velocity, meters/second)


ISCCP H Global Gridded (HGG) Dimensioned By satpos.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [satpos]):
satcodes (Satellite code number)
satids (Satellite short ID)
satnames (Satellite full name)

International Cloud Climatology Project (ISCPP)


ISCCP H Global Gridded (HGG) By time, latitude, longitude

ISCCP H Global Gridded (HGG) Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
eqheight (Equal-area cell mean topographic height, m)
satcode (Satellite code number, 1)
cell_origin (Cell origin code, 1)
fill_gmts (Number of missing GMTs in gap, 1)
fill_days (Number of missing days in gap, 1)
scene (Scene identification)
snoice (Snow/ice cover, percent)
n_total (Total number of pixels, 1)
cldamt (Cloud amount, percent)
cldamt_ir (Cloud amount (using IR data), percent)
cldamt_irmarg (Cloud amount uncertainty (using IR data), percent)
pc (Mean cloud-top pressure (PC) for cloudy pixels, hPa)
pc_ir (Mean cloud-top pressure (PC) for IR-cloudy pixels, hPa)
sigma_pc_ir (Standard deviation of cloud-top pressure (PC) for IR-cloudy pixels, hPa)
tc (Mean cloud-top temperature (TC) for cloudy pixels, K)
tc_ir (Mean cloud-top temperature (TC) for IR-cloudy pixels, K)
sigma_tc_ir (Standard deviation of cloud-top temperature (TC) for IR-cloudy pixels, K)
tau (Mean cloud optical depth (TAU) for cloudy pixels, 1)
tau_ir (Mean cloud optical depth (TAU) for IR-cloudy pixels, 1)
sigma_tau_ir (Standard deviation of cloud optical depth (TAU) for IR-cloudy pixels, 1)
wp (Mean cloud water path (WP) for cloudy pixels, cm)
wp_ir (Mean cloud water path (WP) for IR-cloudy pixels, cm)
sigma_wp_ir (Standard deviation of cloud water path (WP) for IR-cloudy pixels, cm)


ISCCP H Global Gridded (HGG) By time, levpc, latitude, longitude

ISCCP H Global Gridded (HGG) Dimensioned By time, levpc, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][levpc][latitude][longitude]):
n_pcdist (IR cloudy pixel fraction in each cloud-top pressure (PC) level, 1)
pc_pcdist (cloud-top pressure (PC) means for IR PC distribution levels, hPa)
tc_pcdist (cloud-top temperature (TC) means for IR cloud-top pressure (PC) distribution levels, K)


ISCCP H Global Gridded (HGG) cloud_irtype_label By cloud_irtype

ISCCP H Global Gridded (HGG) cloud_irtype_label Dimensioned By cloud_irtype.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [cloud_irtype]):
cloud_irtype_label (IR cloud type labels)


ISCCP H Global Gridded (HGG) cloud_type_label By cloud_type

ISCCP H Global Gridded (HGG) cloud_type_label Dimensioned By cloud_type.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [cloud_type]):
cloud_type_label (Cloud type labels)


ISCCP H Gridded By Hour (HGH) Dimensioned By satpos.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [satpos]):
satcodes (Satellite code number, 1)
satids (Satellite short ID, 1)
satnames (Satellite full name, 1)


ISCCP H Gridded By Hour (HGH) By time, latitude, longitude

ISCCP H Gridded By Hour (HGH) Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
eqland (Equal-area cell land area, percent)
eqheight (Equal-area cell mean topographic height, m)
scene (Scene identification)
n_obs (Number of observations, 1)
n_day (Number of day-time observations, 1)
n_orig (Number of original data cells, 1)
n_toplev (Number of satellite hierarchy top-level data cells, 1)
cldamt (Mean cloud amount, percent)
pc (Mean cloud pressure, hPa)
sigma_pc_time (cloud-top pressure (PC) standard deviation over time, hPa)
tc (Mean cloud temperature, K)
sigma_tc_time (cloud-top temperature (TC) standard deviation over time, K)
tau (Mean cloud cloud optical depth (TAU), 1)
sigma_tau_time (cloud optical depth (TAU) standard deviation over time, 1)
wp (Mean cloud water path, cm)
sigma_wp_time (cloud water path (WP) standard deviation over time, cm)
cldamt_ir (Mean IR-cloud amount, percent)
pc_ir (Mean IR-cloud pressure, hPa)
sigma_pc_space (cloud-top pressure (PC) IR-cloud mean standard deviation over space, hPa)
tc_ir (Mean IR-cloud temperature, K)
sigma_tc_space (cloud-top temperature (TC) IR-cloud mean standard deviation over space, K)
tau_ir (Mean IR-cloud cloud optical depth (TAU), 1)
sigma_tau_space (cloud optical depth (TAU) IR-cloud mean standard deviation over space, 1)
wp_ir (Mean IR-cloud water path, cm)
sigma_wp_space (cloud water path (WP) IR-cloud mean standard deviation over space, cm)
cldamt_irmarg (Cloud amount uncertainty (using IR data), percent)
snoice (Mean snow/ice amount, percent)


ISCCP H Gridded By Hour (HGH) cloud_irtype_label By cloud_irtype

ISCCP H Gridded By Hour (HGH) cloud_irtype_label Dimensioned By cloud_irtype.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [cloud_irtype]):
cloud_irtype_label (Cloud type labels, 1)


ISCCP H Gridded By Hour (HGH) cloud_type_label By cloud_type

ISCCP H Gridded By Hour (HGH) cloud_type_label Dimensioned By cloud_type.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [cloud_type]):
cloud_type_label (IR cloud type labels, 1)


ISCCP H Gridded Monthly (HGM) Dimensioned By satpos.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [satpos]):
satcodes (Satellite code number, 1)
satids (Satellite short ID, 1)
satnames (Satellite full name, 1)

International Cloud Climatology Project (ISCPP)


ISCCP H Gridded Monthly (HGM) By time, latitude, longitude

ISCCP H Gridded Monthly (HGM) Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
eqland (Equal-area cell land area, percent)
eqheight (Equal-area cell mean topographic height, m)
scene (Scene identification)
n_obs (Number of observations, 1)
n_day (Number of day-time observations, 1)
n_orig (Number of original data cells, 1)
n_toplev (Number of satellite hierarchy top-level data cells, 1)
cldamt (Mean cloud amount, percent)
pc (Mean cloud pressure, hPa)
sigma_pc_time (cloud-top pressure (PC) mean standard deviation over time, hPa)
tc (Mean cloud temperature, K)
sigma_tc_time (cloud-top temperature (TC) mean standard deviation over time, K)
tau (Mean cloud cloud optical depth (TAU), 1)
sigma_tau_time (cloud optical depth (TAU) mean standard deviation over time, 1)
wp (Mean cloud water path, cm)
sigma_wp_time (cloud water path (WP) mean standard deviation over time, cm)
cldamt_ir (Mean IR-cloud amount, percent)
pc_ir (Mean IR-cloud pressure, hPa)
sigma_pc_space (cloud-top pressure (PC) IR-cloud mean standard deviation over space, hPa)
tc_ir (Mean IR-cloud temperature, K)
sigma_tc_space (cloud-top temperature (TC) IR-cloud mean standard deviation over space, K)
tau_ir (Mean IR-cloud cloud optical depth (TAU), 1)
sigma_tau_space (cloud optical depth (TAU) IR-cloud mean standard deviation over space, 1)
wp_ir (Mean IR-cloud water path, cm)
sigma_wp_space (cloud water path (WP) IR-cloud mean standard deviation over space, cm)
cldamt_irmarg (Cloud amount uncertainty (using IR data), percent)
snoice (Mean snow/ice amount, percent)


ISCCP H Gridded Monthly (HGM) cloud_irtype_label By cloud_irtype

ISCCP H Gridded Monthly (HGM) cloud_irtype_label Dimensioned By cloud_irtype.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [cloud_irtype]):
cloud_irtype_label (Cloud type label, 1)


ISCCP H Gridded Monthly (HGM) cloud_type_label By cloud_type

ISCCP H Gridded Monthly (HGM) cloud_type_label Dimensioned By cloud_type.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [cloud_type]):
cloud_type_label (1)


NMME CCSM4 Geopotential at 500hPa Daily Aggregation R01 g By time, latitude, longitude

NMME CCSM4 Geopotential at 500hPa Daily Aggregation R01 g Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
g (Geopotential Height (above sea level), m)

Univ. of Miami - Rosenstiel School of Marine & Atmosphereric Science


NMME CCSM4 Geopotential at 500hPa Daily Aggregation R02 g By time, latitude, longitude

NMME CCSM4 Geopotential at 500hPa Daily Aggregation R02 g Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
g (Geopotential Height (above sea level), m)


NMME CCSM4 Maximum Temperature at the Surface Daily Aggregation R01 TREFMXAV By time, latitude, longitude

NMME CCSM4 Maximum Temperature at the Surface Daily Aggregation R01 TREFMXAV Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
TREFMXAV (Average of TREFHT(2m) daily maximum, Kelvin)


NMME CCSM4 Maximum Temperature at the Surface Daily Aggregation R02 TREFMXAV By time, latitude, longitude

NMME CCSM4 Maximum Temperature at the Surface Daily Aggregation R02 TREFMXAV Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
TREFMXAV (Average of TREFHT(2m) daily maximum, Kelvin)


NMME CCSM4 Minimum Temperature at the Surface Daily Aggregation R01 TREFMNAV By time, latitude, longitude

NMME CCSM4 Minimum Temperature at the Surface Daily Aggregation R01 TREFMNAV Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
TREFMNAV (Average of TREFHT(2m) daily minimum, Kelvin)


NMME CCSM4 Minimum Temperature at the Surface Daily Aggregation R02 TREFMNAV By time, latitude, longitude

NMME CCSM4 Minimum Temperature at the Surface Daily Aggregation R02 TREFMNAV Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
TREFMNAV (Average of TREFHT(2m) daily minimum, Kelvin)


NMME CCSM4 Pressure at Sea Level Daily Aggregation R01 PSL By time, latitude, longitude

NMME CCSM4 Pressure at Sea Level Daily Aggregation R01 PSL Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
PSL (Sea level pressure, Pa)


NMME CCSM4 Pressure at Sea Level Daily Aggregation R02 PSL By time, latitude, longitude

NMME CCSM4 Pressure at Sea Level Daily Aggregation R02 PSL Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
PSL (Sea level pressure, Pa)


NMME CCSM4 Specific Humidity Daily Aggregation R01 HUS By time, latitude, longitude

NMME CCSM4 Specific Humidity Daily Aggregation R01 HUS Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
HUS (Specific humidity, kg/kg)

Univ. of Miami - Rosenstiel School of Marine & Atmosphereric Science


NMME CCSM4 Specific Humidity Daily Aggregation R02 HUS By time, latitude, longitude

NMME CCSM4 Specific Humidity Daily Aggregation R02 HUS Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
HUS (Specific humidity, kg/kg)


NMME CCSM4 Temperature at the Surface Daily Aggregation R01 TS By time, latitude, longitude

NMME CCSM4 Temperature at the Surface Daily Aggregation R01 TS Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
TS (Surface temperature (radiative), Kelvin)


NMME CCSM4 Temperature at the Surface Daily Aggregation R02 TS By time, latitude, longitude

NMME CCSM4 Temperature at the Surface Daily Aggregation R02 TS Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
TS (Surface temperature (radiative), Kelvin)


NMME CCSM4 Wind Eastward at 200 hPa Daily Aggregation R01 ua By time, latitude, longitude

NMME CCSM4 Wind Eastward at 200 hPa Daily Aggregation R01 ua Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ua (Zonal wind, m/s)


NMME CCSM4 Wind Eastward at 200 hPa Daily Aggregation R02 ua By time, latitude, longitude

NMME CCSM4 Wind Eastward at 200 hPa Daily Aggregation R02 ua Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ua (Zonal wind, m/s)


NMME CCSM4 Wind Eastward at 850 hPa Daily Aggregation R01 ua By time, latitude, longitude

NMME CCSM4 Wind Eastward at 850 hPa Daily Aggregation R01 ua Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ua (Zonal wind, m/s)


NMME CCSM4 Wind Eastward at 850 hPa Daily Aggregation R02 ua By time, latitude, longitude

NMME CCSM4 Wind Eastward at 850 hPa Daily Aggregation R02 ua Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ua (Zonal wind, m/s)


NMME CCSM4 Wind Northward at 200 hPa Daily Aggregation R01 va By time, latitude, longitude

NMME CCSM4 Wind Northward at 200 hPa Daily Aggregation R01 va Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
va (Meridional wind, m/s)

Univ. of Miami - Rosenstiel School of Marine & Atmosphereric Science


NMME CCSM4 Wind Northward at 200 hPa Daily Aggregation R02 va By time, latitude, longitude

NMME CCSM4 Wind Northward at 200 hPa Daily Aggregation R02 va Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
va (Meridional wind, m/s)


NMME CCSM4 Wind Northward at 850 hPa Daily Aggregation R01 va By time, latitude, longitude

NMME CCSM4 Wind Northward at 850 hPa Daily Aggregation R01 va Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
va (Meridional wind, m/s)


NMME CCSM4 Wind Northward at 850 hPa Daily Aggregation R02 va By time, latitude, longitude

NMME CCSM4 Wind Northward at 850 hPa Daily Aggregation R02 va Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
va (Meridional wind, m/s)


NMME CCSM4 Wind Stress Eastward Daily Aggregation R01 STX By time, latitude, longitude

NMME CCSM4 Wind Stress Eastward Daily Aggregation R01 STX Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
STX (surface zonal stress positive to the west, N/m2)


NMME CCSM4 Wind Stress Eastward Daily Aggregation R02 STX By time, latitude, longitude

NMME CCSM4 Wind Stress Eastward Daily Aggregation R02 STX Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
STX (surface zonal stress positive to the west, N/m2)


NMME CCSM4 Wind Stress Northward Daily Aggregation R01 STY By time, latitude, longitude

NMME CCSM4 Wind Stress Northward Daily Aggregation R01 STY Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
STY (surface meridional stress positive to the north, N/m2)


NMME CCSM4 Wind Stress Northward Daily Aggregation R02 STY By time, latitude, longitude

NMME CCSM4 Wind Stress Northward Daily Aggregation R02 STY Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
STY (surface meridional stress positive to the north, N/m2)


NMME CFSv2 Geopotential Height at 500 hPa g By time, latitude, longitude

NMME CFSv2 Geopotential Height at 500 hPa g Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
g (Geopotential Height (above sea level), m)


NMME CFSv2 Maximum Temperature at 2m tasmax By time, latitude, longitude

NMME CFSv2 Maximum Temperature at 2m tasmax Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tasmax (2m Maximum Temperature, Kelvin)


NMME CFSv2 Meridional Wind at 200hPa va By time, latitude, longitude

NMME CFSv2 Meridional Wind at 200hPa va Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
va (Meridional wind, m/s)


NMME CFSv2 Meridional Wind at 850hPa va By time, latitude, longitude

NMME CFSv2 Meridional Wind at 850hPa va Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
va (Meridional wind, m/s)


NMME CFSv2 Minimum Temperature at 2m tasmin By time, latitude, longitude

NMME CFSv2 Minimum Temperature at 2m tasmin Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
tasmin (2m Minimum Temperature, Kelvin)


NMME CFSv2 Precipitation pr By time, latitude, longitude

NMME CFSv2 Precipitation pr Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
pr (Precipitation rate, kg m-2 s-1)


NMME CFSv2 Pressure At Sea Level psl By time, latitude, longitude

NMME CFSv2 Pressure At Sea Level psl Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
psl (Sea level pressure, Pa)


NMME CFSv2 Specific Humidity at 850hPa hus By time, latitude, longitude

NMME CFSv2 Specific Humidity at 850hPa hus Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
hus (Specific humidity, kg/kg)


NMME CFSv2 Surface Meridional Wind Stress sty By time, latitude, longitude

NMME CFSv2 Surface Meridional Wind Stress sty Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sty (Momentum flux, v-component, N/m2)


NMME CFSv2 Surface Zonal Wind Stress stx By time, latitude, longitude

NMME CFSv2 Surface Zonal Wind Stress stx Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
stx (Momentum flux, u-component, N/m2)


NMME CFSv2 Temperature at 2m ts By time, latitude, longitude

NMME CFSv2 Temperature at 2m ts Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ts (2m Temperature, Kelvin)


NMME CFSv2 Zonal Wind at 200hPa ua By time, latitude, longitude

NMME CFSv2 Zonal Wind at 200hPa ua Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ua (Zonal wind, m/s)


NMME CFSv2 Zonal Wind at 850hPa ua By time, latitude, longitude

NMME CFSv2 Zonal Wind at 850hPa ua Dimensioned By time, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ua (Zonal wind, m/s)


NOAA Climate Data Record of PERSIANN-CDR daily precipitation lat_bnds By latitude, nv

NOAA Climate Data Record (CDR) of Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN-CDR), Version 1 Revision 1. Daily near global precipitation estimates at 0.25 deg resolution over 30-year record. [NOTE: v01r01 replaces v01r00] lat_bnds Dimensioned By latitude, nv.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [latitude][nv]):
lat_bnds

UC-IRVINE/CHRS, Center for Hydrometeorology and Remote Sensing, University of California, Irvine


NOAA Climate Data Record of PERSIANN-CDR daily precipitation lon_bnds By longitude, nv

NOAA Climate Data Record (CDR) of Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN-CDR), Version 1 Revision 1. Daily near global precipitation estimates at 0.25 deg resolution over 30-year record. [NOTE: v01r01 replaces v01r00] lon_bnds Dimensioned By longitude, nv.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [longitude][nv]):
lon_bnds


NOAA Climate Data Record of PERSIANN-CDR daily precipitation precipitation By time, longitude, latitude

NOAA Climate Data Record (CDR) of Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN-CDR), Version 1 Revision 1. Daily near global precipitation estimates at 0.25 deg resolution over 30-year record. [NOTE: v01r01 replaces v01r00] precipitation Dimensioned By time, longitude, latitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][longitude][latitude]):
precipitation (NOAA Climate Data Record of PERSIANN-CDR daily precipitation, mm)


OISST-V2-AVHRR Daily 1/4 degree By time, depth, latitude, longitude

OISST-V2-AVHRR Daily 1/4 degree Dimensioned By time, depth, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
ice (Sea ice concentration, %)
err (Estimated error standard deviation of analysed_sst, Celsius)
anom (Daily sea surface temperature anomalies, Celsius)
sst (Daily sea surface temperature, Celsius)


OISST-V2-AVHRR Daily 1/4 degree Preliminary By time, depth, latitude, longitude

OISST-V2-AVHRR Daily 1/4 degree Preliminary Dimensioned By time, depth, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
ice (Sea ice concentration, %)
err (Estimated error standard deviation of analysed_sst, Celsius)
anom (Daily sea surface temperature anomalies, Celsius)
sst (Daily sea surface temperature, Celsius)


OISST-V2-AVHRR-AMSR Daily 1/4 degree By time, depth, latitude, longitude

OISST-V2-AVHRR-AMSR Daily 1/4 degree Dimensioned By time, depth, latitude, longitude.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
sst (Daily sea surface temperature, degrees C)
anom (Daily sea surface temperature anomalies, degrees C)
err (Estimated error standard deviation of analysed_sst, degrees C)
ice (Sea ice concentration, percentage)


Regional NCOM Alaska 2D (Apr 12, 2015 to Dec 16, 2020)

3-day forecast for NCOM Alaska from April 12, 2015 to December 16, 2020, 2D

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
surf_el (Water Surface Elevation, meter)
surf_atm_press (Surface Atmospherics Pressure, Pascal)
surf_temp_flux (model surface temperature flux, degC-m/s)
surf_salt_flux (model surface salinity flux, psu-m/s)
surf_solar_flux (model surface shortwave flux, degC-m/s)
surf_roughness (model surface roughness, m)
surf_wnd_stress_gridx (Grid x Surface Wind Stress, newton/meter2)
surf_wnd_stress_gridy (Grid y Surface Wind Stress, newton/meter2)

Naval Oceanographic Office via NOAA NCEI


Latest 3-day forecast for NCOM Alaska, 2D

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
surf_el (Water Surface Elevation, meter)
surf_atm_press (Surface Atmospheric Pressure, millibar)
surf_temp_flux (Surface Temperature Flux, degC meter/second)
surf_solar_flux (Surface Shortwave Flux, degC meter/second)
surf_roughness (Surface Roughness, m)
surf_wnd_stress_gridx (Eastward Surface Wind Stress, pascal)
surf_wnd_stress_gridy (Northward Surface Wind Stress, pascal)


Regional NCOM Alaska 3D (Apr 12, 2015 to Dec 16, 2020)

3-day forecast for NCOM Alaska from April 12, 2015 to December 16, 2020, 3D

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
water_temp (Water Temperature, degC)
water_u (Eastward Water Velocity, meter/sec)
water_v (Northward Water Velocity, meter/sec)
salinity (psu)


Latest 3 day forecast of NCOM Alaska, 3D

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
water_temp (Water Temperature, degC)
water_u (Eastward Water Velocity, meter/second)
water_v (Northward Water Velocity, meter/second)
salinity (psu)


Regional NCOM AMSEAS 2D (Apr 05, 2013 to Dec 16, 2020)

AMSEAS data from April 05, 2013 to December 16, 2020 (includes 3 day forecast)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
surf_el (Water Surface Elevation, meter)
surf_atm_press (Surface Atmospherics Pressure, Pascal)
surf_temp_flux (model surface temperature flux, degC-m/s)
surf_salt_flux (model surface salinity flux, psu-m/s)
surf_solar_flux (model surface shortwave flux, degC-m/s)
surf_roughness (model surface roughness, m)
surf_wnd_stress_gridx (Grid x Surface Wind Stress, newton/meter2)
surf_wnd_stress_gridy (Grid y Surface Wind Stress, newton/meter2)


AMSEAS data from December 17, 2020 to present (includes 3 day forecast)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
surf_el (Water Surface Elevation, meter)
surf_atm_press (Surface Atmospheric Pressure, millibar)
surf_temp_flux (Surface Temperature Flux, degC meter/second)
surf_salt_flux (Surface Salinity Flux, psu meter/second)
surf_solar_flux (Surface Shortwave Flux, degC meter/second)
surf_roughness (Surface Roughness, m)
surf_wnd_stress_gridx (Eastward Surface Wind Stress, pascal)
surf_wnd_stress_gridy (Northward Surface Wind Stress, pascal)


Regional NCOM AMSEAS 2D (May 05, 2010 to April 04, 2013)

AMSEAS data from May 09, 2010 to April 04, 2013. (includes 3 day forecast)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
surf_el (Water Surface Elevation, meter)
surf_atm_press (Surface Atmospherics Pressure, Pascal)
surf_temp_flux (model surface temperature flux, degC-m/s)
surf_salt_flux (model surface salinity flux, psu-m/s)
surf_solar_flux (model surface shortwave flux, degC-m/s)
surf_roughness (model surface roughness, m)
surf_wnd_stress_gridx (Grid x Surface Wind Stress, newton/meter2)
surf_wnd_stress_gridy (Grid y Surface Wind Stress, newton/meter2)


Regional NCOM AMSEAS 3D (Apr 05, 2013 to Dec 16, 2020)

AMSEAS data from April 05, 2013 to December 16, 2020. (includes 3 day forecast)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
water_temp (Water Temperature, degC)
water_u (Eastward Water Velocity, meter/sec)
water_v (Northward Water Velocity, meter/sec)
salinity (psu)


AMSEAS data from December 17, 2020 to present. (includes 3 day forecast)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
water_temp (Water Temperature, degC)
water_u (Eastward Water Velocity, meter/second)
water_v (Northward Water Velocity, meter/second)
salinity (psu)


Regional NCOM AMSEAS 3D (May 05, 2010 to April 04, 2013)

AMSEAS data from May 09, 2010 to April 04, 2013. (includes 3 day forecast)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
water_temp (Water Temperature, degC)
water_u (Eastward Water Velocity, meter/sec)
water_v (Northward Water Velocity, meter/sec)
salinity (psu)


Regional NCOM US East 2D (Apr 05, 2013 to Dec 16, 2020)

NCOM US East data from April 05, 2013 to December 16, 2020 (includes 3 day forecast)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
surf_el (Water Surface Elevation, meter)
surf_atm_press (Surface Atmospherics Pressure, Pascal)
surf_temp_flux (model surface temperature flux, degC-m/s)
surf_salt_flux (model surface salinity flux, psu-m/s)
surf_solar_flux (model surface shortwave flux, degC-m/s)
surf_roughness (model surface roughness, m)
surf_wnd_stress_gridx (Grid x Surface Wind Stress, newton/meter2)
surf_wnd_stress_gridy (Grid y Surface Wind Stress, newton/meter2)

Naval Oceanographic Office via NOAA NCEI


Regional NCOM US East 2D (Before Depth Change)

NCOM US East data before November 19, 2009

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
water_temp (Water Temperature, degC)
water_u (Eastward Water Velocity, meter/sec)
water_v (Northward Water Velocity, meter/sec)
salinity (psu)


NCOM US East data from December 17, 2020 to present (includes 3 day forecast)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
surf_el (Water Surface Elevation, meter)
surf_atm_press (Surface Atmospheric Pressure, millibar)
surf_temp_flux (Surface Temperature Flux, degC meter/second)
surf_solar_flux (Surface Shortwave Flux, degC meter/second)
surf_roughness (Surface Roughness, m)
surf_wnd_stress_gridx (Eastward Surface Wind Stress, pascal)
surf_wnd_stress_gridy (Northward Surface Wind Stress, pascal)


Regional NCOM US East 2D (Nov 19, 2009 to Apr 04, 2013)

NCOM US East data from November 19, 2009 to Apr 04, 2013 (includes 3 day forecast)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
surf_el (Water Surface Elevation, meter)
surf_atm_press (Surface Atmospherics Pressure, Pascal)
surf_temp_flux (model surface temperature flux, degC-m/s)
surf_salt_flux (model surface salinity flux, psu-m/s)
surf_solar_flux (model surface shortwave flux, degC-m/s)
surf_roughness (model surface roughness, m)
surf_wnd_stress_gridx (Grid x Surface Wind Stress, newton/meter2)
surf_wnd_stress_gridy (Grid y Surface Wind Stress, newton/meter2)


Regional NCOM US East 3D (Apr 05, 2013 to Dec 16, 2020)

NCOM US East data from April 05, 2013 to December 16, 2020 (includes 3 day forecast)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
water_temp (Water Temperature, degC)
water_u (Eastward Water Velocity, meter/sec)
water_v (Northward Water Velocity, meter/sec)
salinity (psu)


Regional NCOM US East 3D (Before Depth Change)

NCOM US East data before November 19, 2009.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
water_temp (Water Temperature, degC)
water_u (Eastward Water Velocity, meter/sec)
water_v (Northward Water Velocity, meter/sec)
salinity (psu)


NCOM US East data from December 17, 2020 to present (includes 3 day forecast)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
water_temp (Water Temperature, degC)
water_u (Eastward Water Velocity, meter/second)
water_v (Northward Water Velocity, meter/second)
salinity (psu)


Regional NCOM US East 3D (Nov 19, 2009 to Apr 04, 2013)

NCOM US East data from November 19, 2009 to April 04, 2013 (includes 3 day forecast)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):
water_temp (Water Temperature, degC)
water_u (Eastward Water Velocity, meter/sec)
water_v (Northward Water Velocity, meter/sec)
salinity (psu)


Data from USM AMSEAS DAP

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][longitude][latitude]):
amsal_Weekly (8-day Surface Salinity, psu)
amsal_8wkAvg (8-week Surface Salinity, psu)
amsal_StDev (8-week Surface Salinity Standard Deviation, psu)
amsal_Anomaly (Sea Surface Salinity Anomaly, psu)
amsal_StDevMask1 (surface salinity 1 std dev mask, unitless)
amsal_StDevMask2 (8-week surface salinity std dev mask, unitless)
amsal_StDevMask3 (8-week sea surface salinity 3 std dev mask, unitless)
amsal_StDevMask4 (8-week sea surface salinity 4 std dev mask, unitless)
amcurr_Weekly (8-day Sea Surface Current Magnitude, m/s)
amcurr_8wkAvg (8-week Sea Surface Current Magnitude, m/s)
amcurr_StDev (8-week Sea Surface Current Magnitude Standard Deviation, m/s)
amcurr_Anomaly (Sea Surface Current Magnitude Anomaly, m/s)
amcurr_StDevMask1 (Sea Surface Current Magnitude 1 Std Dev Mask, unitless)
amcurr_StDevMask2 (8-week Sea Surface Current Magnitude Std Dev Mask, unitless)
amcurr_StDevMask3 (8-week Sea Surface Current Magnitude 3 Std Dev Mask, unitless)
amcurr_StDevMask4 (8-week Sea Surface Current Magnitude 4 Std Dev Mask, unitless)
amsst_Weekly (8-day Sea Surface Temperature, degC)
amsst_8wkAvg (8-week Sea Surface Temperature, degC)
amsst_StDev (8-week Sea Surface Temperature Standard Deviation, degC)
amsst_Anomaly (Sea Surface Temperature Anomaly, degC)
amsst_StDevMask1 (Sea Surface Temperature1 Std Dev Mask, unitless)
amsst_StDevMask2 (8-week Sea Surface Temperature Std Dev Mask, unitless)
amsst_StDevMask3 (8-week Sea Surface Temperature 3 Std Dev Mask, unitless)
amsst_StDevMask4 (8-week Sea Surface Temperature 4 Std Dev Mask, unitless)


Data from USM VIIRS DAP

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][longitude][latitude]):
CHL_Weekly (8-day chlorophyll-a, mg/m3)
CHL_8wkAvg (8-week chlorophyll-a, mg/m3)
CHL_Anomaly (chlorophyll-a anomaly, mg/m3)
CHL_StDev (8-week chlorophyll-a std dev, mg/m3)
CHL_StDevMask1 (8-week chlorophyll-a 1 std dev mask, unitless)
CHL_StDevMask2 (8-week chlorophyll-a 2 std dev mask, unitless)
CHL_StDevMask3 (8-week chlorophyll-a 3 std dev mask, unitless)
CHL_StDevMask4 (8-week chlorophyll-a 4 std dev mask, unitless)
BB551_Weekly (8-day backscattering coefficient at 551nm, 1/m)
BB551_8wkAvg (8-week backscattering coefficient at 551nm, 1/m)
BB551_StDev (8-week backscattering coefficient at 551nm std dev, 1/m)
BB551_Anomaly (backscattering coefficient at 551nm anomaly, 1/m)
BB551_StDevMask1 (backscattering coefficient at 551nm 1 std dev mask, unitless)
BB551_StDevMask2 (backscattering coefficient at 551nm 2 std dev mask, unitless)
BB551_StDevMask3 (backscattering coefficient at 551nm 3 std dev mask, unitless)
BB551_StDevMask4 (backscattering coefficient at 551nm 4 std dev mask, unitless)
A443_Weekly (8-day absorption coefficient at 443nm, 1/m)
A443_8wkAvg (8-week absorption coefficient at 443nm, 1/m)
A443_StDev (8-week absorption coefficient at 443nm std dev, 1/m)
A443_Anomaly (absorption coefficient at 443nm anomaly, 1/m)
A443_StDevMask1 (absorption coefficient at 443nm 1 std dev mask, unitless)
A443_StDevMask2 (absorption coefficient at 443nm 2 std dev mask, unitless)
A443_StDevMask3 (absorption coefficient at 443nm 3 std dev mask, unitless)
A443_StDevMask4 (absorption coefficient at 443nm 4 std dev mask, unitless)
KD486_Weekly (8-day diffuse attenuation coefficient, 1/m)
KD486_8wkAvg (8-week diffuse attenuation coefficient, 1/m)
KD486_StDev (8-week diffuse attenuation coefficient std dev, 1/m)
... (29 more variables)