GPROF-NN
This Python package implements the GPROF-NN retrieval algorithms for the passive microwave observations of GPM.
Overview
This package provides a command line application, which implements the principal
data preparation, training and retrieval functionality of GPROF-NN. In addition
to that, the gprof_nn python package provides utility functions for the
processing of GPM-related data.
Quick start
Running any of the released GPROF-NN retrievals should by as easy as
pip install -U gprof_nn # Install gprof_nn
gprof_nn hr l1c_file.HDF5 -o output.nc # Run retrieval
Documentation
Detailed documentation is available on readthedocs.
Metadata
Release files for gprof-nn 0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| gprof_nn-0.1.tar.gz | 189.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gprof_nn-0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 377.6 kB
Release files / gprof_nn-0.1.tar.gz
| Download URL | gprof_nn-0.1.tar.gz |
|---|---|
| Size | 189.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / gprof_nn-0.1-py3-none-any.whl
| Download URL | gprof_nn-0.1-py3-none-any.whl |
|---|---|
| Size | 188.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.15
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