geogravL3 1.1.2
Grace Level 3 Python package.
Requires Python: >3.9
Keywords: GRACE, gravity, remote sensing

.. SPDX-License-Identifier: GPL-3.0-or-later
.. FileType: DOCUMENTATION
.. SPDX-FileCopyrightText: 2025 GFZ Helmholtz Centre for Geosciences
.. SPDX-FileCopyrightText: 2025, "Eva Boergens" at GFZ Potsdam



=================
geogravl3
=================
------------------------------------------------------
Python Package for Processing Earth Gravity Field Data
------------------------------------------------------

This package processes Earth gravity field data—provided as spherical harmonic coefficients—into gridded,
domain-specific datasets. It also includes uncertainty estimation and the generation of regional mean time series.


License and Citation
====================

**geogravL3** is distributed under the GNU General Public License v3.0 or later (GPL-3.0-or-later).

When using the software, please cite:

Boergens, E., Rabe, D., Charly, A., Wilms, J., Scheffler, D. (2025): geogravL3 - a Python Package for Processing Earth Gravity Field Data.
GFZ Data Services.
https://doi.org/10.5880/GFZ.DQTO.2025.002


Documentation
=============
The documentation with details on the installation, usage, and configuration can be found at
https://grace_l3.git-pages.gfz-potsdam.de/geogravl3/doc/.

Description
===========

**geogravL3** provides the processing pipeline from Level-2 data (spherical harmonic coefficients) to domain-specific
gridded Level-3 data and the computation of regional mean time series.

**Input:**

- Spherical harmonic coefficients, provided as one file per time step, in either **ICGEM** format (`*.gfc`) or **SINEX** format (`*.snx`).
- Configuration file steering the processing steps. Either in **Json** format (`*.json`) or **XML** format (`*.xml`).


**Output**

- **NetCDF files** (`*.nc`) per domain containing gridded data
- **CSV files** (`*.csv`) per domain containing mean regional time series

Processing Details
------------------

Details of the processing steps, or their omission, are govern by the configuration file. Details on the configuration
file is provided at https://grace_l3.git-pages.gfz-potsdam.de/geogravl3/doc/config.html.

Domain-Independent Processing Steps
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
- Removal of the mean field
- Filtering of spherical harmonic coefficients:
  - **DDK**
  - **Gaussian filter**
  - **VDK** (requires SINEX input)
- Replacement of **C20** and **C30** with external data
- Subtraction of the **GIA model**
- Estimation and insertion of geocentre motion coefficients (**C10**, **C11**, **S11**)
- Subtraction of the **161-day aliased signal**

Domain-Specific Processing Steps
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Land — Terrestrial Water Storage (TWS)
""""""""""""""""""""""""""""""""""""""
- Spherical harmonic synthesis
- Masking of the ocean
- Uncertainty estimation based on open-ocean noise

Ocean — Ocean Bottom Pressure (OBP)
"""""""""""""""""""""""""""""""""""

- Spherical harmonic synthesis (land and ocean domains only)
- Separation of the ocean signal into:
  - **Barystatic sea level**, estimated via the sea-level equation
  - **Residual circulation**
- Uncertainty estimation based on residual time-series signals

Ice Sheets — Greenland and Antarctica
"""""""""""""""""""""""""""""""""""""

- Gridded data estimated using the **sensitivity-kernel approach**
- Uncertainty estimation based on residual time-series signals


Status
======
.. image:: https://git.gfz-potsdam.de/grace_l3/geogravl3/badges/main/pipeline.svg
        :target: https://git.gfz-potsdam.de/grace_l3/geogravl3/pipelines
        :alt: Pipelines
.. image:: https://git.gfz-potsdam.de/grace_l3/geogravl3/badges/main/coverage.svg
        :target: https://grace_l3.git-pages.gfz-potsdam.de/geogravl3/coverage/
        :alt: Coverage
.. image:: https://img.shields.io/pypi/v/geogravl3.svg
        :target: https://pypi.python.org/pypi/geogravl3
.. image:: https://img.shields.io/conda/vn/conda-forge/geogravl3.svg
        :target: https://anaconda.org/channels/conda-forge/packages/geogravl3/overview
.. image:: https://img.shields.io/pypi/l/geogravl3.svg
        :target: https://git.gfz-potsdam.de/grace_l3/geogravl3/-/blob/main/LICENSES/GPL-3.0-or-later.txt
.. image:: https://img.shields.io/pypi/pyversions/geogravl3.svg
        :target: https://img.shields.io/pypi/pyversions/geogravl3.svg
.. image:: https://img.shields.io/pypi/dm/geogravl3.svg
        :target: https://pypi.python.org/pypi/geogravl3
.. image:: https://img.shields.io/static/v1?label=Documentation&message=GitLab%20Pages&color=orange
        :target: https://grace_l3.git-pages.gfz-potsdam.de/geogravl3/doc/
        :alt: Documentation
.. image:: https://img.shields.io/badge/DOI-10.5880%2FGFZ.DQTO.2025.002-blue.svg
   :target: https://doi.org/10.5880/GFZ.DQTO.2025.002
   :alt: DOI



See also the latest coverage_ report and the pytest_ HTML report.


History / Changelog
===================

You can find the protocol of recent changes in the **geogravL3** package
`here <https://git.gfz-potsdam.de/grace_l3/geogravl3/-/blob/main/HISTORY.rst>`__.

Credits
=======
This software package was developed under ESA contract **4000145266/24/NL/SC – NGGM and MAGIC End-to-End Mission
Performance Evaluation Study**.

The scientific and methodological development was led by Eva Boergens (eva.boergens@gfz.de).
Martin Horwath (martin.horwath@tu-dresden.de) contributed the ice-processing methodology. A complete list of
contributors—covering both software development and the heritage code that was translated into Python as part of
this project—is available `here <https://git.gfz-potsdam.de/grace_l3/geogravl3/-/blob/main/AUTHORS.rst>`__.


The FERN.Lab (fernlab@gfz.de) contributed to the development, documentation, continuous integration,
and testing of the package.
This package was created using Cookiecutter_ and the `fernlab/cookiecutter-py-package`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`fernlab/cookiecutter-py-package`: https://github.com/fernlab/cookiecutter-py-package
.. _coverage: https://grace_l3.git-pages.gfz-potsdam.de/geogravl3/coverage/
.. _pytest: https://grace_l3.git-pages.gfz-potsdam.de/geogravl3/test_reports/report.html