Lib.gadjust.obsmatcher.obsmatcher Class Reference

Class for extracting relevant observations that are covered by the provided area. More...

Inheritance diagram for Lib.gadjust.obsmatcher.obsmatcher:

Public Member Functions
	__init__ (self, domdb)
	match (self, image, acc_period=12, quantity="ACRR", how_task="se.smhi.composite.distance.radar", offset_hours=0)
	Extract pixel values matching the location of each point in a composite.

Public Attributes
	db = domdb

Detailed Description

Class for extracting relevant observations that are covered by the provided area.

Member Function Documentation

match()

Lib.gadjust.obsmatcher.obsmatcher.match	(		self,
			image,
			acc_period = 12,
			quantity = "ACRR",
			how_task = "se.smhi.composite.distance.radar",
			offset_hours = 0 )

Extract pixel values matching the location of each point in a composite.

Parameters

points	list of point instances
image	composite Cartesian instance. TODO: generalize?
quantity	string quantity, most often "ACRR"
image_idx	int index of the image to read, should be 0
how_task	string task identifier of the distance quality field

Extract observations that are covered by the provided image. The image must have a distance quality field and a relevant quantity (for example ACRR).

Parameters

image	- the cartesian image.
acc_period	- the hours back in time we are interested of
quantity	- the quantity we want to use, default is ACRR
how_task	- the name of the distance field. Default is se.smhi.composite.distance.radar
offset_hours	- as default matching is performed from nominal time until now, if offset_hours > 0 then matching is performed between nominal time and nominal time + offset_hours

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The documentation for this class was generated from the following file:

• /github/workspace/Lib/gadjust/obsmatcher.py