From 4f5c981f136fcf3e737553659509f59cfb376f07 Mon Sep 17 00:00:00 2001
From: milanavuckovic <44368504+milanavuckovic@users.noreply.github.com>
Date: Thu, 9 Jan 2025 17:15:40 +0000
Subject: [PATCH] Update README.md

---
 README.md | 9 ++++++---
 1 file changed, 6 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index 8e0a324..1b436bd 100644
--- a/README.md
+++ b/README.md
@@ -5,13 +5,16 @@
 The examples in this space should give you a good starting point how you can work with ECMWF services and data through Python using Jupyter notebooks. 
 
 * [Visualisation meteorological data](visualisation) using ECMWF's [Magics](https://software.ecmwf.int/magics) plotting package for meteorological data.
-* [Retrieving and processing meteorological data](processing) using [Metview](https://software.ecmwf.int/metview) and related Python packages
 * [Download images and reproducing ECMWF Open Charts](opencharts) using new ECMWF Python libraries
 
+Many notebooks that showcase processing of ECMWF data using [Metview](https://metview.readthedocs.io/en/latest/) can now be found in Metview documentation page:
+* [Gallery of Jupyter notebooks](https://metview.readthedocs.io/en/latest/notebook_gallery.html)
+* [Gallery of small Python examples](https://metview.readthedocs.io/en/latest/gen_files/gallery/index.html)
+
 Each notebook has a list of nececary libraries needed for it to work and code to install it. 
 
-If you clone this repo and want to explore all the notebooks. you can use the environment.yml file to create a conda environment and install all the libraries inside, using this command:  
+If you clone this repo and want to explore all the notebooks, you can use the environment.yml file to create a conda environment and install all the libraries inside, using this command:  
 
 `conda env create -f environment.yml`
 
-Note: All the libraries are frozen on 30th March 2023.
+Note: All the libraries are frozen on 09th January 2025.