Update readme for zarr

README.md

@@ -50,22 +50,10 @@ This dataset is derived from the [Met Office UK Deterministic Dataset](https://r
 - **Copyright**: British Crown copyright © Met Office
 
 ## Details
-### Zarr Format and Tar Archives
+### Zarr Format and Zip Archives
 - **Format**: The dataset files are in Zarr format, a modern storage format optimized for analytics and machine learning workflows.
-- **Packaging**: Zarr files are stored as `.tar.gz` archives. Each archive corresponds to a specific time interval, such as `2022-12-01-00.tar.gz`.
+- **Packaging**: Zarr files are stored as `.zarr.zip` archives. Each archive corresponds to a specific time interval, such as `2023-01-01-00.zarr.zip`.
 
 ### Subset Configuration
 - The dataset includes a subset of variables and configurations chosen for targeted use cases.
 - For details on the variables and configurations included in this dataset, please refer to the [`met_office_uk_data_config.yaml`](./met_office_uk_data_config.yaml) file.
-
-## How to Access
-You can download and extract the tar archives using the following Python snippet:
-
-```python
-import tarfile
-
-# Example: Extracting a tar.gz archive
-archive_path = "2022-12-01-00.tar.gz"
-with tarfile.open(archive_path, "r:gz") as tar:
-    tar.extractall(path="extracted_zarr")
-```