NCEI THREDDS Server THREDDS Data Server

Catalog https://www.ncei.noaa.gov/thredds/catalog/cdr/isccp_hgh_agg/catalog.html

Dataset: ISCCP-H Aggregation Basic Gridded By Hour (HGH)/Best Time Series

• Data type: GRID
• ID: cdr/isccp_hgh_agg/ISCCP-H_Aggregation_Basic_Gridded_By_Hour_(HGH)_best.ncd

Documentation:

• summary: Best time series, taking the data from the most recent run available.

Access:

1. OPENDAP: /thredds/dodsC/cdr/isccp_hgh_agg/ISCCP-H_Aggregation_Basic_Gridded_By_Hour_(HGH)_best.ncd
2. WMS: /thredds/wms/cdr/isccp_hgh_agg/ISCCP-H_Aggregation_Basic_Gridded_By_Hour_(HGH)_best.ncd
3. WCS: /thredds/wcs/cdr/isccp_hgh_agg/ISCCP-H_Aggregation_Basic_Gridded_By_Hour_(HGH)_best.ncd
4. NetcdfSubset: /thredds/ncss/cdr/isccp_hgh_agg/ISCCP-H_Aggregation_Basic_Gridded_By_Hour_(HGH)_best.ncd
5. CdmRemote: /thredds/cdmremote/cdr/isccp_hgh_agg/ISCCP-H_Aggregation_Basic_Gridded_By_Hour_(HGH)_best.ncd
6. NCML: /thredds/ncml/cdr/isccp_hgh_agg/ISCCP-H_Aggregation_Basic_Gridded_By_Hour_(HGH)_best.ncd
7. UDDC: /thredds/uddc/cdr/isccp_hgh_agg/ISCCP-H_Aggregation_Basic_Gridded_By_Hour_(HGH)_best.ncd
8. ISO: /thredds/iso/cdr/isccp_hgh_agg/ISCCP-H_Aggregation_Basic_Gridded_By_Hour_(HGH)_best.ncd

Variables:

• Vocabulary [CF-1.0]:
  • cldamt (percent) = Mean cloud amount = isccp_cloud_area_fraction
  • cldamt_ir (percent) = Mean IR-cloud amount =
  • cldamt_irmarg (percent) = Cloud amount uncertainty (using IR data) =
  • eqheight (m) = Equal-area cell mean topographic height =
  • eqland (percent) = Equal-area cell land area =
  • n_day (1) = Number of day-time observations =
  • n_obs (1) = Number of observations = number_of_observations
  • n_orig (1) = Number of original data cells =
  • n_toplev (1) = Number of satellite hierarchy top-level data cells =
  • pc (hPa) = Mean cloud pressure = air_pressure_at_cloud_top
  • pc_ir (hPa) = Mean IR-cloud pressure = air_pressure_at_cloud_top
  • scene = Scene identification =
  • sigma_pc_space (hPa) = cloud-top pressure (PC) IR-cloud mean standard deviation over space =
  • sigma_pc_time (hPa) = cloud-top pressure (PC) standard deviation over time =
  • sigma_tau_space (1) = cloud optical depth (TAU) IR-cloud mean standard deviation over space =
  • sigma_tau_time (1) = cloud optical depth (TAU) standard deviation over time =
  • sigma_tc_space (K) = cloud-top temperature (TC) IR-cloud mean standard deviation over space =
  • sigma_tc_time (K) = cloud-top temperature (TC) standard deviation over time =
  • sigma_wp_space (cm) = cloud water path (WP) IR-cloud mean standard deviation over space =
  • sigma_wp_time (cm) = cloud water path (WP) standard deviation over time =
  • snoice (percent) = Mean snow/ice amount =
  • tau (1) = Mean cloud cloud optical depth (TAU) = atmosphere_optical_thickness_due_to_cloud
  • tau_ir (1) = Mean IR-cloud cloud optical depth (TAU) = atmosphere_optical_thickness_due_to_cloud
  • tc (K) = Mean cloud temperature = air_temperature_at_cloud_top
  • tc_ir (K) = Mean IR-cloud temperature = air_temperature_at_cloud_top
  • wp (cm) = Mean cloud water path =
  • wp_ir (cm) = Mean IR-cloud water path =

GeospatialCoverage:

• Global
• Longitude: 0.5 to 359.5 degrees_east
• Latitude: -89.5 to 89.5 degrees_north

TimeCoverage:

• Start: 1983-07-31T00:00:00Z
• End: 2017-06-30T21:00:00Z

Viewers:

• Godiva2 (browser-based)
• NetCDF-Java ToolsUI (webstart)
• Integrated Data Viewer (IDV) (webstart)