update readme

README.md

@@ -4,7 +4,7 @@
 
 This project is used for training PVNet and running PVnet on live data.
 
-PVNet2 largely inherits the same architecture from
+PVNet2 is a multi-modal late-fusion model that largely inherits the same architecture from
 [PVNet1.0](https://github.com/openclimatefix/predict_pv_yield). The NWP and
 satellite data are sent through some neural network which encodes them down to
 1D intermediate representations. These are concatenated together with the GSP
@@ -14,6 +14,12 @@ feature vector is put through an output network which outputs predictions of the
 future GSP yield. National forecasts are made by adding all the GSP forecasts
 together.
 
+
+## Experiments
+
+Some quite rough working notes on experiments training this model and running it in production are
+[here](https://docs.google.com/document/d/1fbkfkBzp16WbnCg7RDuRDvgzInA6XQu3xh4NCjV-WDA/edit?usp=sharing).
+
 ## Setup / Installation
 
 ```bash
@@ -37,7 +43,8 @@ configs directory:
 cp -r configs.example configs
 ```
 
-You will be making local amendments to these configs
+You will be making local amendments to these configs. See the README in 
+`configs.example` for more info.
 
 ### Datasets
 
@@ -108,16 +115,16 @@ input_data:
       forecast_minutes: 120
       time_resolution_minutes: 60
       nwp_channels: # comment out channels as appropriate
-        - t # live = t2m
-        - dswrf
-        - dlwrf
-        - hcc
-        - MCC
-        - lcc
-        - vis
-        - r # live = r2
-        - prate # live ~= rprate
-        - si10 # 10-metre wind speed | live = unknown
+        - t         # 2-metre temperature
+        - dswrf     # downwards short-wave radiation flux
+        - dlwrf     # downwards long-wave radiation flux
+        - hcc       # high cloud cover
+        - mcc       # medium cloud cover
+        - lcc       # low cloud cover
+        - vis       # visability
+        - r         # relative humidity
+        - prate     # precipitation rate
+        - si10      # 10-metre wind speed | live = unknown
       nwp_image_size_pixels_height: 24
       nwp_image_size_pixels_width: 24
       nwp_provider: ukv
@@ -333,7 +340,4 @@ python run.py
 
 You can use `python -m pytest tests` to run tests
 
-## Experiments
 
-Notes on these experiments are
-[here](https://docs.google.com/document/d/1fbkfkBzp16WbnCg7RDuRDvgzInA6XQu3xh4NCjV-WDA/edit?usp=sharing).