.. ancil-working-practices documentation master file, created by sphinx-quickstart on Fri Sep 26 16:22:13 2025. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. ANTS Landing Page ================= Welcome to the landing page for ANTS: a collection of software tools that enable generation of ancillary files. Ancillary files are the mechanism by which external data sources are entered into weather, climate, and land surface models. This includes model orography, soil and vegetation types, climatologies for sea surface temperature and sea ice. ANTS is the toolkit for developing applications to generate ancillaries on structured grids. UG-ANTS is the equivalent for unstructured meshes. This service is for the benefit of all registered users. Please consider the diversity of the ANTS community when contributing to ANTS, including issues, pull requests, code changes and documentation. .. _code-repositories: Code Repositories ----------------- .. card:: ANTS :link: https://github.com/MetOffice/ANTS A Python library for generating UM ancillary files, developed at the Met Office .. card:: UG-ANTS :link: https://github.com/MetOffice/UG-ANTS A Python library for generating LFRic ancillary files, developed at the Met Office .. card:: Ancillary File Science :link: https://github.com/MetOffice/ancillary-file-science A collection of ancillary science applications that use the ANTS library .. card:: UG-Ancillary File Science :link: https://github.com/MetOffice/ug-ancillary-file-science A collection of ancillary science applications that use the UG-ANTS library .. card:: Ancillary File Data Preparation :link: https://github.com/MetOffice/ancillary-file-data-preparation A record of what was done to prepare data for the creation of ancillary files on structured grids .. card:: Ancillary Config :link: https://github.com/MetOffice/ancillary-config Configuration files for ancillary generation Contents -------- .. toctree:: :maxdepth: 2 working_practices/index Contact Accessibility