Neal, Robert (2022): Daily historical weather pattern classifications for the UK and surrounding European area (1950 to 2020) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.942896
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Abstract:
Provided here are daily historical weather pattern classifications covering the period from 1950 to 2020, where the observed weather patterns are valid at 1200 UTC daily. The observed weather pattern on each day is given as a number from 1 to 30, which matches up to the weather pattern numbers described in Neal et al. (2016). The method used to generate this updated classification is the same as used in Neal et al. (2016), with the exception of using ERA5 for both the daily pressure fields and daily climatology. The daily climatology is used to calculate the pressure anomalies before they are matched up to weather pattern definitions and uses ERA5 between 1951 and 2019. This daily climatology has also been filtered by applying a 3-, 15- and 31-day rolling mean. Column 1 of this dataset gives the date [YYYY-MM-DD] and column 2 of this dataset gives the observed weather pattern classification [#].
Supplement to:
Harrison, Samuel; Pope, James; Neal, Robert; Garry, Freya; Kurashina, Ryosuke; Suri, Dan (2022): Identifying Weather Patterns Associated with Increased Volcanic Ash Risk within British Isles Airspace. Weather and Forecasting, 37(7), 1157-1168, https://doi.org/10.1175/WAF-D-22-0023.1
Related to:
Neal, Robert; Fereday, David; Crocker, Ric; Comer, Ruth E (2016): A flexible approach to defining weather patterns and their application in weather forecasting over Europe. Meteorological Applications, 23(3), 389-400, https://doi.org/10.1002/met.1563
Coverage:
Median Latitude: 52.500000 * Median Longitude: -5.000000 * South-bound Latitude: 35.000000 * West-bound Longitude: -30.000000 * North-bound Latitude: 70.000000 * East-bound Longitude: 20.000000
Date/Time Start: 1950-01-01T12:00:00 * Date/Time End: 2020-12-31T12:00:00
Event(s):
Comment:
Weather code:
1. Unbiased northwesterly
2. Cyclonic southwesterly with a returning polar maritime airmass
3. Anticyclonic southwesterly with a high pressure ridge over northern France
4. Unbiased westerly
5. Unbiased southerly with high pressure centred over Scandinavia
6. Anticyclonic Azores high extension towards the UK
7. Cyclonic southwesterly with a low centred wester-northwest of Ireland
8. Cyclonic westerly with a low centred near Shetland
9. Anticyclonic north-northeasterly with a high centred near Iceland
10. Anticyclonic west-southwesterly with a slight Azores high ridge
11. Cyclonic with a low centred over southern UK
12. Anticyclonic southerly with a high over Poland
13. Anticyclonic northwesterly with a high southwest of Ireland
14. Cyclonic north-northwesterky with a low near southern Sweden
15. Unbiased southwesterly, very windy in northwest Britain
16. Anticyclonic south-southeasterly with a high east of Denmark
17. Anticyclonic east-southeasterly with a high over Denmark
18. Anticyclonic southwesterly with a high over northern France
19. Unbiased northerly with a low east of Denmark
20. Cyclonic westerly with an intense low near Iceland
21. Cyclonic southwesterly with a deep low south of Iceland
22. Cyclonic southerly with a low west of Ireland
23. Unbiased westerly and very windy in the north
24. Cyclonic northerly with a low in the North Sea
25. Anticyclonic northerly with a high centred in the Irish Sea
26. Cyclonic northwesterly with a low near Norway - very windy
27. Anticyclonic easterly with a high in Norwegian Sea
28. Cyclonic southeasterly with a low southwest of the UK
29. Cyclonic south-southwesterly with a deep low west of Ireland
30. Cyclonic west-southwesterly with a deep low southeast of Iceland
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | DATE/TIME | Date/Time | Neal, Robert | Geocode – UTC | ||
| 2 | Weather | Weather | code | Neal, Robert |
License:
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC-BY-NC-SA-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
25933 data points
Download Data
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