The operational QRNN-based implementation of GPROF.

Project description

QPROF

This Python package provides the operational, neural-network-based implementation of the GPROF surface-precipitation retrieval.

This version

0.0.1.dev0 pre-release

Feb 3, 2021

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Uploaded Feb 3, 2021 Source

Uploaded Feb 3, 2021 Python 3

Hashes for gpm-qprof-0.0.1.dev0.tar.gz
Algorithm	Hash digest
SHA256	`f4ac6fa56b48302fe946d9a266a49c4fab6d9610fd22acf0c2f0adcf8466b8f9`
MD5	`354da8a3a59edf6960d4c32a944455a4`
BLAKE2b-256	`1f6951e715353667ebf6baab12b9bb32e1d805a98330ca69a9fc56d37220dbeb`

Hashes for gpm_qprof-0.0.1.dev0-py3-none-any.whl
Algorithm	Hash digest
SHA256	`786df393092cc029f4eca4f25cb3f2ddef668d048260c3ee6f01acd96c805926`
MD5	`de929d170453668dd538736726462ac4`
BLAKE2b-256	`3f4cb6fd24ae4a0a7ab5a10c4ff03011fa0e0af2f12f0cda29fe8b7e876fe82d`