Update README.md

README.md

@@ -15,21 +15,23 @@ library_name: anemoi
 Here, we introduce the **Artificial Intelligence Forecasting System (AIFS)**, a data driven forecast
 model developed by the European Centre for Medium-Range Weather Forecasts (ECMWF). 
 
-The release of AIFS Single v1.0 marks the first operationally supported AIFS model. Version 1 will
-supersede the existing experimental version, [0.2.1 AIFS-single](https://huggingface.co/ecmwf/aifs-single-0.2.1). 
-The new version, 1.0, brings changes to the AIFS single model, including among many others:
+The release of AIFS Single v1.0 marks the first operationally supported AIFS model. Version 1
+supersedes the existing experimental version, [0.2.1 AIFS-single](https://huggingface.co/ecmwf/aifs-single-0.2.1). 
+The new version, 1.0, brings changes to the AIFS Single model, including among many others:
 
-- Improved performance for upper-level atmospheric variables (AIFS-single still uses 13 pressure-levels, so this improvement mainly refers to 50 hPa)
-- Improved scores for total precipitation.
-- Additional output variables, including 100 meter winds, snow-fall, solar-radiation and land variables such as soil-moisture and soil-temperature.
+- Improved performance for upper-level atmospheric variables (AIFS Single still uses 13 pressure-levels, so this improvement mainly refers to 50 and 100 hPa)
+- Improved skill for total precipitation.
+- Additional output variables, including 100 meter winds, snow-fall, surface solar-radiation and land variables such as soil-moisture and soil-temperature.
 
 <div style="display: flex; justify-content: center;">
   <img src="assets/radiation_cloudcover.gif" alt="AIFS 10 days Forecast" style="width: 50%;"/>
 </div>
 
 AIFS produces highly skilled forecasts for upper-air variables, surface weather parameters and
-tropical cyclone tracks. AIFS-single is run four times daily alongside ECMWF’s physics-based NWP model and forecasts
-are available to the public under ECMWF’s open data policy. (https://www.ecmwf.int/en/forecasts/datasets/open-data)
+tropical cyclone tracks. AIFS Single is run four times daily alongside ECMWF’s physics-based NWP model and forecasts
+are available to the public under ECMWF’s open data policy (https://www.ecmwf.int/en/forecasts/datasets/open-data). 
+Note that due to the non-determinism of GPUs, users will be unable to exactly reproduce an official AIFS forecast 
+when running AIFS Single themselves.
 
 ## Data Details