https://github.com/tpgillam/metofficestationdata.jl

Met Office historic station data
https://github.com/tpgillam/metofficestationdata.jl

Last synced: 16 days ago
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Met Office historic station data

• Host: GitHub
• URL: https://github.com/tpgillam/metofficestationdata.jl
• Owner: tpgillam
• License: mit
• Created: 2024-01-01T22:37:57.000Z (12 months ago)
• Default Branch: main
• Last Pushed: 2024-11-19T10:34:43.000Z (about 1 month ago)
• Last Synced: 2024-11-19T11:43:46.221Z (about 1 month ago)
• Language: Julia
• Size: 194 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# MetOfficeStationData

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Access the [Met Office Historic station data](https://www.metoffice.gov.uk/research/climate/maps-and-data/historic-station-data).

These are monthly summaries of weather from across the UK, with long histories.

## Usage

If you know the `short_name` of a station, you can obtain the data like so:

```julia

using MetOfficeStationData

MetOfficeStationData.get_frame("cambridge")

```

```

779×7 DataFrame

 Row │ yyyy   mm     tmax     tmin     af     rain       sun

     │ Int64  Int64  Float64  Float64  Int64  Float64?   Float64?

─────┼─────────────────────────────────────────────────────────────

   1 │  1959      1      4.4     -1.4     20  missing         78.1

   2 │  1959      2      7.5      1.2      9  missing         66.0

   3 │  1959      3     11.5      3.8      0  missing         98.0

   4 │  1959      4     14.3      5.4      0  missing        146.1

   5 │  1959      5     18.1      6.5      0  missing        224.8

   6 │  1959      6     21.6     10.1      0  missing        252.4

...

```

To obtain metadata for all stations, including the `short_name`s needed for `MetOfficeStationData.get_frame`:

```julia

MetOfficeStationData.get_station_metadata()

```

```

37×5 DataFrame

 Row │ name                        lat      lon      year_start  short_name

     │ String                      Float64  Float64  Int64       SubString…

─────┼───────────────────────────────────────────────────────────────────────────

   1 │ Aberporth                    52.139   -4.57         1941  aberporth

   2 │ Armagh                       54.352   -6.649        1853  armagh

   3 │ Ballypatrick Forest          55.181   -6.153        1961  ballypatrick

   4 │ Bradford                     53.813   -1.772        1908  bradford

   5 │ Braemar No 2                 57.011   -3.396        1959  braemar

...

```

## Example

Run the [example Pluto.jl notebook](./examples/pluto_plots.jl) for a simple interactive visualsation of the data.

For example, for the Cambridge Niab station, as of January 2024:

![Cambridge rainfall](examples/cam_rain.svg)

![Cambridge temperature](examples/cam_temp.svg)

## Limitations

The data files given by the Met Office include various annotations, e.g. noting the types of sensor used, or whether data is preliminary, or even if a station changed location.

We do not preserve any of this!