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Geosciences LibreTexts

17.1: Introduction

( \newcommand{\kernel}{\mathrm{null}\,}\)

Pandas is a great tool for handling one-dimensional data, like a time series from one meteorological station.  However, atmospheric sciences often requires analysis of multidimensional data.  Consider, for example, that you might want to analyze 4-dimensional model fields (latitude, longitude, pressure, and time), from several ensemble members of different models.  This is ia a six-dimensional data structure (latitude, longitude, pressure, time, model, ensemble number). This is where Xarray comes int: it is expert at handling multidimensional data with precision and makes analysis of the data easy and intuitive.

You normally import Xarray with this command:

import xarray as xr


17.1: Introduction is shared under a not declared license and was authored, remixed, and/or curated by LibreTexts.

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