# An anisotropic model for global climate data

## TL;DR

This paper introduces a simple method to create axially symmetric Gaussian processes on the sphere, effectively capturing the directional anisotropy observed in global climate data for improved geostatistical modeling.

## Contribution

It proposes a novel, elementary approach to model anisotropic effects in global climate data using Gaussian processes on the sphere.

## Key findings

- Effective modeling of directional anisotropy in climate data
- Simplified approach for Gaussian process construction on the sphere
- Potential for improved geostatistical analysis

## Abstract

We present a new, elementary way to obtain axially symmetric Gaussian processes on the sphere, in order to accommodate for the directional anisotropy of global climate data in geostatistical analysis.