Update README.md

README.md

@@ -61,7 +61,6 @@ You can find an example of a set of initial conditions in the GRIB file `example
 
 Use the code below to get started with the model. 
 
-
 ```
 # 1st - create the conda environment
 export CONDA_ENV=aifs-env
@@ -86,6 +85,11 @@ Additonally the use of 'Flash Attention' package also imposes certain requiremen
 🚨 **Note** the `aifs_single_v0.2.1.ckpt` checkpoint just contains the model’s weights. 
 That file does not contain any information about the optimizer states, lr-scheduler states, etc.
 
+**Note** By default, when running `ai-models` the model will be run for a 10-day lead time (240 hours). 
+It is possible to extend or modify the lead time to for example 15 days by doing `ai-models --lead-time 360`
+Please refer to `ai-models` documentation for more information regarding defaults and available command line options.
+
+
 After running the `ai-models` command the output of the forecast should be written into `anemoi.grib` 
 Below you can find an example to read that file and load it as numpy array or xarray. 
 
@@ -97,7 +101,7 @@ source_filename='anemoi.grib'
 aifs_forecast = ekd.from_source('file',source_filename)
 
 # to load it as a numpy array
-aifs_forecast.to_numpy()
+aifs_forecast.to_numpy() #
 
 # to load it as a xarray array
 aifs_forecast.to_xarray()