Merge pull request #8 from chloepilonv/main

Tidy up README.md - Fixes #4

README.md

@@ -15,7 +15,6 @@ from quartz_solar_forecast.pydantic_models import PVSite
 
 # make input data
 site = PVSite(latitude=51.75, longitude=-1.25, capacity_kwp=1.25)
-ts = datetime(2023, 11, 1, 0, 0, 0)
 
 # run model
 predications_df = run_forecast(site=site, ts='2023-11-01')
@@ -32,6 +31,20 @@ It is trained on 25,000 PV sites with over 5 years of PV history, which is avail
 The training of this model is handled in [pv-site-prediction](https://github.com/openclimatefix/pv-site-prediction)
 TODO - we need to benchmark this forecast. 
 
+The 9 NWP variables, from Open-Meteo documentation, are mentioned above with their appropariate units. 
+
+1. **Visibility (km)**, or vis: Distance at which objects can be clearly seen. Can affect the amount of sunlight reaching solar panels.
+2. **Wind Speed at 10 meters (km/h)**, or si10 : Wind speed measured at a height of 10 meters above ground level. Important for understanding weather conditions and potential impacts on solar panels.
+3. **Temperature at 2 meters (°C)**, or t : Air temperature measure at 2 meters above the ground. Can affect the efficiency of PV systems. 
+4. **Precipiration (mm)**, or prate : Precipitation (rain, snow, sleet, etc.). Helps to predict cloud cover and potentiel reductions in solar irradiance. 
+5. **Shortwave Radiation (W/m²)**, or dswrf: Solar radiation in the shortwave spectrum reaching the Earth's surface. Measure of the potential solar energy available for PV systems. 
+6. **Direct Radiation (W/m²)** or dlwrf: Longwave (infrared) radiation emitted by the Earth back into the atmosphere. **confirm it is correct**
+7. **Cloud Cover low (%)**, or lcc: Percentage of the sky covered by clouds at low altitudes. Impacts the amount of solar radiation reachign the ground, and similarly the PV system.
+8. **Cloud Cover mid (%)**, or mcc : Percentage of the sky covered by clouds at mid altitudes. 
+9. **Cloud Cover high (%)**, or lcc : Percentage of the sky covered by clouds at high altitude
+
+
+
 ## Known restrictions
 
 - The model is trained on [UK MetOffice](https://www.metoffice.gov.uk/services/data/met-office-weather-datahub) NWPs, but when running inference we use [GFS](https://www.ncei.noaa.gov/products/weather-climate-models/global-forecast) data from [Open-meteo](https://open-meteo.com/). The differences between GFS and UK MetOffice, could led to some odd behaviours.
@@ -42,11 +55,11 @@ TODO - we need to benchmark this forecast.
 - NWP: Numerical Weather Predictions
 - GFS: Global Forecast System
 - PV: Photovoltaic
-- 
 
 ## Contribution
 
 We welcome other models
+
 ## Contributors ✨
 
 Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/docs/en/emoji-key)):
@@ -69,4 +82,5 @@ Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/d
 
 <!-- ALL-CONTRIBUTORS-LIST:END -->
 
-This project follows the [all-contributors](https://github.com/all-contributors/all-contributors) specification. Contributions of any kind welcome!
+This project follows the [all-contributors](https://github.com/all-contributors/all-contributors) specification. Contributions of any kind welcome!
+