feat: Add HRES ECMWF IFS (9km global) (#16)

* feat: Add HRES ECMWF IFS (9km global)

* add disclaimer regarding support

README.md

@@ -4,13 +4,15 @@
 
 Open-Meteo integrates weather models from well-known national weather services, delivering a rapid weather API. Real-time weather forecasts are unified within a time-series database that covers both historical and future weather data. Open-Meteo is designed to analyse long time-series of weather data any place on earth.
 
-The database, made available through the [AWS Open Data Sponsorship program](https://aws.amazon.com/opendata/open-data-sponsorship-program/).
+This database is made available through the [AWS Open Data Sponsorship program](https://aws.amazon.com/opendata/open-data-sponsorship-program/).
 
 Weather datasets are sourced from the following national weather services:
-- Forecast: NOAA NCEP, DWD, ECMWF, Environment Canada, MeteoFrance, JMA, BOM, CMA, Met Norway
-- Historical data: Copernicus
+- Forecast: NOAA NCEP, DWD, ECMWF, Environment Canada, MeteoFrance, JMA, BOM, CMA, Met Norway, DMI, KNMI
+- Historical data: Copernicus, ECMWF
 - Climate data: CMIPS 
 
+This open-data distribution is managed by Open-Meteo and is not directly affiliated with national weather services such as ECMWF or NOAA NCEP. Open-Meteo does not guarantee the accuracy, completeness, or uninterrupted provision of the data products, and they are provided without any warranty. For support inquiries, please contact Open-Meteo by creating [`issues`](https://github.com/open-meteo/open-data/issues) or [`discussions`](https://github.com/open-meteo/open-data/discussions) in this repository.
+
 ## Weather Models
 
 All available data can be explored using the [S3 explorer](https://openmeteo.s3.amazonaws.com/index.html#data/).
@@ -82,12 +84,13 @@ The following models are used in the [Air Quality API](https://open-meteo.com/en
 
 ### Historical Weather Data
 
-The following models are used in the [Historical Weather API](https://open-meteo.com/en/docs/historical-weather-api). Note: The historical weather API integrates high resolution data from ECMWF IFS which is not part of the open-data distribution.
+The following models are used in the [Historical Weather API](https://open-meteo.com/en/docs/historical-weather-api).
 
 | Model                | Region | Resolution     | Timeinterval | Delay to realtime | Updates        | # Surface Variables | # Pressure Variables | Available since |
 | -------------------- | ------ | -------------- | ------------ | ----------------- | -------------- | ------------------- | -------------------- | --------------- |
 | copernicus_era5      | Global | 0.25° (~25 km) | Hourly       | 5 days            | Every 24 hours | 23                  | -                    | 1940-01-01      |
 | copernicus_era5_land | Global | 0.1° (~11 km)  | Hourly       | 5 days            | Every 24 hours | 11                  | -                    | 1950-01-01      |
+| ecmwf_ifs            | Global | 9 km           | Hourly       | 2 days            | Every 24 hours | 24                  | -                    | 2017-01-01      |
 
 ### Ensemble Weather Models
 

tutorial_download_era5/README.md

@@ -46,7 +46,7 @@ Parameter explanation:
 - `-it --rm` instructs Docker to only run one command, exit and clean-up any running container
 - `-v open-meteo-data:/app/data` assigns the Docker volume to store weather data
 - `ghcr.io/open-meteo/open-meteo sync` run the `sync` command of the Open-Meteo Image
-- `copernicus_era5_land` Select the weather dataset ERA5-Land. All datasets are listed in the [S3 bucket](https://openmeteo.s3.amazonaws.com/index.html#data/).
+- `copernicus_era5_land` Select the weather dataset ERA5-Land. Use `ecmwf_ifs` for an archive of the full resolution IFS weather model. All datasets are listed in the [S3 bucket](https://openmeteo.s3.amazonaws.com/index.html#data/).
 - `temperature_2m` Download temperature on 2 meters above ground. All variables for each dataset are also listed in the S3 bucket.
 - `--past-days 730` will include all files that contain data from the past 2 years. If set to `3650`, data of the last 10 years would be downloaded.