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