Clouddrift: a Python package to accelerate the use of Lagrangian data for atmospheric, oceanic, and climate sciences

Abstract

Lagrangian data in Earth sciences are unique because they do not conform to established standards related to dimensions, coordinates, and organizational structures. In addition, because they convolve spatial and temporal information, Lagrangian data need specific processing and analysis tools for their scientific and operational use. The clouddrift Python library addresses these challenges by offering tools to process and analyze Lagrangian data with an emphasis on the ragged array representation.