CLOUDNET_L2_classification

Variables

The table below lists the variables that are present in the HARP product that results from an ingestion of CLOUDNET_L2_classification data.

field name	type	dimensions	unit	description
datetime	double	{time}	[seconds since 2000-01-01]	date and time
sensor_latitude	float		[degree_north]	latitude of the instrument
sensor_longitude	float		[degree_east]	longitude of the instrument
sensor_altitude	float		[m]	altitude of the instrument above mean sea level
altitude	float	{vertical}	[m]	altitude of the measurement
cloud_type	int8	{time, vertical}		cloud classification type; enumeration values: clear_sky (0), cloud_droplets (1), drizzle_rain (2), drizzle_rain_cloud_droplets (3), ice (4), ice_supercooled_droplets (5), melting_ice (6), melting_ice_cloud_droplets (7), aerosol (8), insects (9), aerosol_insects (10)
cloud_type_validity	int8	{time, vertical}		detection status
cloud_base_height	float	{time}	[m]	cloud_base_height
cloud_top_height	float	{time}	[m]	cloud_top_height
index	int32	{time}		zero-based index of the sample within the source product

Mapping description

The table below details where and how each variable was retrieved from the input product.

field name	mapping description
datetime	path	/time
	description	convert hours since 00:00:00 of the day of the measurement to seconds since 2000-01-01
sensor_latitude	path	/latitude
sensor_longitude	path	/longitude
sensor_altitude	path	/altitude
altitude	path	/height
	description	height above mean see level
cloud_type	path	/target_classification
cloud_type_validity	path	/detection_status
	description	radar and lidar detection status
cloud_base_height	path	/cloud_base_height
	description	legacy format
	path	/cloud_base_height_amsl
	description	cloudnetpy format
cloud_top_height	path	/cloud_top_height
	description	legacy format
	path	/cloud_top_height_amsl
	description	cloudnetpy format