Identification

Title

Parallel Implementation of the Multi-resolution Approximation for Large-scale Spatial Gaussian Models in Python

Abstract

Gaussian processes have become a standard tool for modeling large atmospheric data sets. Traditional methods used in this context, such as kriging, are computationally infeasible for many data sets encountered in practice due to their size. One solution to overcome this limitation is to employ the multi-resolution approximation (MRA), developed by. In this technical report, we describe a Python package containing a parallel implementation of the MRA algorithm for estimating the true value of the process from noisy data. We describe the algorithm and its implementation, apply it to several simulated data sets and report run times. We also include code examples that cover typical use cases of the algorithm as well as some diagnostic tools to verify its results.

Resource type

document

Resource locator

Unique resource identifier

code

https://n2t.org/ark:/85065/d75x2cxd

codeSpace

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

geoscientificInformation

Keywords

Keyword set

keyword value

Text

originating controlled vocabulary

title

Resource Type

reference date

date type

publication

effective date

2016-01-01T00:00:00Z

Geographic location

West bounding longitude

East bounding longitude

North bounding latitude

South bounding latitude

Temporal reference

Temporal extent

Begin position

End position

Dataset reference date

date type

publication

effective date

2018-12-27T00:00:00Z

Frequency of update

Quality and validity

Lineage

Conformity

Data format

name of format

version of format

Constraints related to access and use

Constraint set

Use constraints

Copyright Author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Limitations on public access

None

Responsible organisations

Responsible party

contact position

OpenSky Support

organisation name

UCAR/NCAR - Library

full postal address

PO Box 3000

Boulder

80307-3000

email address

opensky@ucar.edu

web address

http://opensky.ucar.edu/

name: homepage

responsible party role

pointOfContact

Metadata on metadata

Metadata point of contact

contact position

OpenSky Support

organisation name

UCAR/NCAR - Library

full postal address

PO Box 3000

Boulder

80307-3000

email address

opensky@ucar.edu

web address

http://opensky.ucar.edu/

name: homepage

responsible party role

pointOfContact

Metadata date

2025-07-11T19:32:18.553856

Metadata language

eng; USA