From 66b6d44223ce0d17b6321cb9641eed929c145d2c Mon Sep 17 00:00:00 2001 From: Ou Ku Date: Tue, 3 Sep 2024 10:44:35 +0200 Subject: [PATCH] add joss badge --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 7c1751d..7a87c08 100644 --- a/README.md +++ b/README.md @@ -4,6 +4,7 @@ [![PyPI](https://img.shields.io/pypi/v/motrainer.svg?colorB=blue)](https://pypi.python.org/project/motrainer/) [![Build](https://github.com/VegeWaterDynamics/motrainer/actions/workflows/build.yml/badge.svg)](https://github.com/VegeWaterDynamics/motrainer/actions/workflows/build.yml) [![Ruff](https://github.com/VegeWaterDynamics/motrainer/actions/workflows/lint.yml/badge.svg)](https://github.com/VegeWaterDynamics/motrainer/actions/workflows/lint.yml) +[![DOI](https://joss.theoj.org/papers/10.21105/joss.06591/status.svg)](https://doi.org/10.21105/joss.06591) Measurement Operator Trainer is a Python package training measurement operators (MO) for data assimilations purposes. It is specifically designed for the applications where one needs to split large spatio-temporal data into independent partitions, and then train separate ML models for each partition.