How to cite this Dataset
Webber, Chris (2018): The synoptic meteorology driving the UK’s largest pollution episodes. University of Reading. Dataset. https://doi.org/10.17864/1947.175
Description
This dataset contains output from an inert-tracer study using the Met Office HADGEM2-GA4 model. The aim of the study was to analyse why omega block events are associated with such hazardous particulate matter (PM) within the UK.
The dataset includes HADGEM3-GA4 Chemistry-Climate simulation output and nudged Blocking Index Metrics (blocking index, direction of blocking index and relative importance of air masses Indices) for the same time period. These are calculated on the theta = 2 PVU field (dynamical tropopause).
| Resource Type: | Dataset |
|---|---|
| Creators: | Webber, Chris |
| Contributors: | Dacre, Helen and Collins, Bill |
| Rights-holders: | Chris Webber |
| Data Publisher: | University of Reading |
| Publication Year: | 2018 |
| Data last accessed: | 15 November 2024 |
| DOI: | https://doi.org/10.17864/1947.175 |
| Metadata Record URL: | https://researchdata.reading.ac.uk/id/eprint/175 |
| Organisational units: | Science > School of Mathematical, Computational and Physical Sciences > Department of Meteorology |
| Participating Organisations: | University of Reading |
| Keywords: | blocking, particulate matter, pollution, HADGEM |
| Rights: | |
| Data Availability: | OPEN |
