Treffer: Climatrix: Xarray accessor for climate data sampling and reconstruction

In this paper, we present a dedicated xarray accessor designed to streamline working with both dense and sparse climatological datasets for the task of spatial reconstruction. The software is implemented as an xarray accessor to ensure ease of use and alignment with the workflows and conventions familiar to climate scientists.To improve data management, we decoupled physical values from the spatio-temporal domain and introduced easy access to spatio-temporal axes via predefined axis types. The tool includes two core sampling strategies and, most importantly, integrates three reconstruction methods: the widely used inverse distance weighting (IDW), ordinary kriging (OK), and the emerging implicit neural representation (INR) approach.We believe this software will support more reliable and efficient climate data reconstruction and facilitate further advancements in the field. The library is released under the MIT license and is available via the Python Package Index (PyPI) and GitHub: https://github.com/jamesWalczak/climatrix.