Articles | Volume 17, issue 13
https://doi.org/10.5194/gmd-17-5369-2024
https://doi.org/10.5194/gmd-17-5369-2024
Development and technical paper
 | 
12 Jul 2024
Development and technical paper |  | 12 Jul 2024

Consistent point data assimilation in Firedrake and Icepack

Reuben W. Nixon-Hill, Daniel Shapero, Colin J. Cotter, and David A. Ham

Data sets

MEaSUREs BedMachine Antarctica, Version 3 M. Morlighem https://doi.org/10.5067/FPSU0V1MWUB6

Model code and software

ReubenHill/point-data-paper-code: Consistent Point Data Assimilation in Firedrake and Icepack: Code Reuben W. Nixon-Hill and Daniel Shapero https://doi.org/10.5281/zenodo.7950441

icepack/icepack: data assimilation improvements (v1.0.1) Daniel Shapero et al. https://doi.org/10.5281/zenodo.7897023

Software used in "Consistent Point Data Assimilation in Firedrake and Icepack: Unknown Conductivity Demonstration" (Firedrake_20230316.0 firedrake-zenodo https://doi.org/10.5281/zenodo.7741741

Software used in "Consistent Point Data Assimilation in Firedrake and Icepack: Groundwater Hydrology and Ice Shelf Demonstrations" (Firedrake_20230405.1) firedrake-zenodo https://doi.org/10.5281/zenodo.7801478

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Short summary
Scientists often use models to study complex processes, like the movement of ice sheets, and compare them to measurements for estimating quantities that are hard to measure. We highlight an approach that ensures accurate results from point data sources (e.g. height measurements) by evaluating the numerical solution at true point locations. This method improves accuracy, aids communication between scientists, and is well-suited for integration with specialised software that automates processes.