The compute_cloud_properties module

Introduction

Thus far code to generate statistical data from trajectories is at a very early stage. Much work is done by compute_cloud_properties.set_cloud_class(), which classifies trajectory points, and compute_cloud_properties.cloud_properties()

An example of their use is in process_clouds.py.

Detailed Module Contents

The entire module is documented below.

Created on Thu Aug 27 16:32:10 2020

@author: paclk

compute_cloud_properties.set_cloud_class(traj, thresh=None, version=1)

Function to compute trajectory class and mean cloud properties.

Parameters

• thresh – Threshold if LWC to define cloud. Default is traj.thresh.

• version – Which version of classification. (Currently only 1).

Returns

Dictionary containing trajectory class points, key and useful derived data:

Dictionary keys:
"class"
"key"
"first_cloud_base"
"min_cloud_base"
"cloud_top"
"cloud_trigger_time"
"cloud_dissipate_time"
"version":version

@author: Peter Clark

compute_cloud_properties.cloud_properties(traj, traj_cl, thresh=None, use_density=False)

Function to compute trajectory class and mean cloud properties.

Parameters

• traj – Trajectory object

• traj_cl – Dict of Classifications of trajectory points provided by set_cloud_class function.

• thresh – Threshold if LWC to define cloud. Default is traj.thresh.

Returns

dictionary pointing to arrays of mean properties and meta data:

Dictionary keys:
    "overall_mean"
    "unclassified"
    "pre_cloud_bl"
    "pre_cloud_above_bl"
    "previous_cloud"
    "detr_prev"
    "post_detr_prev"
    "cloud"
    "entr_bot"
    "entr"
    "detr"
    "post_detr"
    "subsequent_cloud"
    "cloud_properties"
    "budget_loss"
    "entrainment"
    "derived_variable_list"

@author: Peter Clark

compute_cloud_properties.print_cloud_class(traj, traj_cl, sel_obj, list_classes=True)

Function to compute trajectory class and mean cloud properties.

Parameters

• traj – Trajectory object

• traj_cl – Dict of Classifications of trajectory points provided by set_cloud_class function.

@author: Peter Clark