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