iris-esmf-regrid
Overview
This project aims to provide a bridge between Iris and ESMF. This takes the form of regridder classes which take Iris cubes as their arguments and use ESMF to perform regridding calculations. These classes are designed to perform well on cubes which have multiple non-horizontal dimensions and lazy (Dask) data. Both rectilinear and curvilinear grids as well as UGRID meshes have been supported.
Further documentation can be found here.
Metadata
Release files for esmf-regrid 0.16.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| esmf_regrid-0.16.0.tar.gz | 91.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| esmf_regrid-0.16.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 208.4 kB
Release files / esmf_regrid-0.16.0.tar.gz
| Download URL | esmf_regrid-0.16.0.tar.gz |
|---|---|
| Size | 91.1 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / esmf_regrid-0.16.0-py3-none-any.whl
| Download URL | esmf_regrid-0.16.0-py3-none-any.whl |
|---|---|
| Size | 117.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
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