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README.md
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# Dataset: Low-to-high-resolution weather forecasting using topography
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The dataset is intended and structured for the problem of transforming/interpolating low-resolution weather forecasts into higher resolution using topography data.
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![Dataset diagram: 4 ECMWF grid points at the corners, 1 SMHI observation station, topographical data in the background](./assets/high_res_weather_forecasting_dataset.png)
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The dataset consists of 3 different types of data (as illustrated above):
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- **Historical weather observation data ([SMHI](https://opendata.smhi.se/apidocs/metobs/index.html))**
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- Historical weather observation data from selected SMHI observation stations (evaluation points)
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- **Historical low-resolution weather forecasts ([ECMWF](https://www.ecmwf.int/en/forecasts/datasets/set-i))**
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- For a given SMHI station: Historical, (relatively) low-resolution ECMWF weather forecasts from the 4 nearest ECMWF grid points
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- **Topography/elevation data ([Copernicus DEM GLO-30](https://spacedata.copernicus.eu/collections/copernicus-digital-elevation-model))**:
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- Topography/elevation data around a given SMHI station, grid enclosed by the 4 ECMWF points
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The dataset is meant to facilitate the following modeling pipeline:
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- Weather forecasts for a set of 4 neighboring ECMWF points are combined with topography/elevation data and turned into higher resolution forecasts grid (corresponding to the resolution of the topography data)
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- SMHI weather observation data is used as a sparse evaluation point of the produced higher-resolution forecasts
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## Data details & samples
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### SMHI weather observation data
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SMHI weather observation data is structured in csv files, separately for each weather parameter and weather observation station.
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See the sample below:
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```csv
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Stationsnamn;Stationsnummer;Stationsnät;Mäthöjd (meter över marken)
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Stockholm-Observatoriekullen;98210;SMHIs stationsnät;2.0
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Parameternamn;Beskrivning;Enhet
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Lufttemperatur;momentanvärde, 1 gång/tim;celsius
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Tidsperiod (fr.o.m);Tidsperiod (t.o.m);Höjd (meter över havet);Latitud (decimalgrader);Longitud (decimalgrader)
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1859-01-01 00:00:00;2024-02-01 07:20:11;43.133;59.3417;18.0549
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Datum;Tid (UTC);Lufttemperatur;Kvalitet;;Tidsutsnitt:
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2023-10-27;06:00:00;2.4;G
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2023-10-27;18:00:00;3.0;G
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2023-10-28;06:00:00;0.6;G
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2023-10-28;18:00:00;1.9;G
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2023-10-29;06:00:00;0.3;G
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2023-10-29;18:00:00;3.2;G
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2023-10-30;06:00:00;2.4;G
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2023-10-30;18:00:00;4.3;G
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2023-10-31;06:00:00;8.5;G
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2023-10-31;18:00:00;4.6;G
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2023-11-01;06:00:00;1.9;G
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```
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### ECMWF historical weather forecasts
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Historical ECMWF weather forecasts contain a number of forecasted weather variables at 4 nearest grid points around each SMHI observation station:
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```
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<xarray.Dataset>
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Dimensions: (reference_time: 2983, valid_time: 54,
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corner_index: 4, station_index: 275)
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Coordinates:
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* reference_time (reference_time) datetime64[ns] 2020-01-01 ... 20...
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latitude (corner_index, station_index) float64 55.3 ... 68.7
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longitude (corner_index, station_index) float64 ...
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point (corner_index, station_index) int64 ...
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* valid_time (valid_time) int32 0 1 2 3 4 5 ... 48 49 50 51 52 53
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* station_index (station_index) int64 0 1 2 3 4 ... 271 272 273 274
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* corner_index (corner_index) <U3 'llc' 'lrc' 'ulc' 'urc'
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station_names (station_index) <U29 ...
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station_ids (station_index) int64 ...
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Data variables:
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PressureReducedMSL (reference_time, valid_time, corner_index, station_index) float32 ...
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RelativeHumidity (reference_time, valid_time, corner_index, station_index) float32 ...
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SolarDownwardRadiation (reference_time, valid_time, corner_index, station_index) float64 ...
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Temperature (reference_time, valid_time, corner_index, station_index) float32 ...
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WindDirection:10 (reference_time, valid_time, corner_index, station_index) float32 ...
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WindSpeed:10 (reference_time, valid_time, corner_index, station_index) float32 ...
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```
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### Topography data
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The topography data is provided in the chunks cut around each of the SMHI stations.
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The corners of each chunk correspond to ECMWF forecast grid points.
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Each chunk consists 361 x 361 points, spanning across 0.1° x 0.1°. (Some of the values across longitudes are NaN since apparently the Earth is not square [citation needed]).
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![Sample topography map](./assets/elevation_data_sample_0_1_degree.png)
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assets/elevation_data_sample_0_1_degree.png
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Git LFS Details
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assets/high_res_weather_forecasting_dataset.png
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Git LFS Details
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