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Temperature-attributable mortality (and hospital admission) time series, UK (1900-2099)

Update Frequency: Not Planned
Latest Data Update: 2023-06-02
Status: Completed
Online Status: ONLINE
Publication State: Published
Publication Date: 2023-07-27
Download Stats: last 12 months
Dataset Size: 3.72K Files | 97GB


This dataset contains estimates of mortality and number of hospital admissions that can be attributed to temperature, from observations and climate projections, and includes some of the underlying climate data. The data are divided into the subdirectories ‘epi_model’, ‘HadUKgrid’, ‘London’, ‘regimes’, and ‘UKCP18’ as follows:

- Model fits of exposure-response relationships

- Temperature-attributable mortality/hospital admission time series for the observed record (1981/1991-2018)
- List of the 10 highest mortality days from 1991 to 2018 based on UK-total temperature-related mortality

- Average daily temperature by London boroughs simulated with an urban model, October 2015 to 2019
- Attributable hospital admission by London boroughs based on the above temperature time series

- Weather regime and pattern classification for the observed record (1850/1979-2019)

- Attributable mortality time series for UKCP18 climate projections (1900-2099)

Further details including file contents and methods can be found in the README.txt files for each dataset. This dataset was produced for the UK Climate Resilience Programme - Addressing the resilience needs of the UK health sector: climate service pilots.

Citable as:  University of Reading; Huang, K.; Charlton-Perez, A.; Sun, T. (2023): Temperature-attributable mortality (and hospital admission) time series, UK (1900-2099). NERC EDS Centre for Environmental Data Analysis, date of citation.
Abbreviation: Not defined
Keywords: mortality, temperature, hospital admission, exposure-response


Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
Access rules:
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence: When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

Mortality data was obtained from the Office for National Statistics, from the Northern Ireland Statistics and Research Agency and from the National Records of Scotland. NHS England and NHS Wales Informatics Service supplied the hospital admissions data to the Met Office who generated the necessary statistics. ERA5 reanalyses were obtained from Copernicus/ECMWF; HadUK-Grid, UKCP18 and weather regime data from the Met Office. All of these were analysed by the University of Reading who supplied the resulting data to the Met Office for archiving on the MEDMI (Medical and Environmental Data Mashup Infrastructure) platform at the University of Exeter, and at the Centre for Environmental Data Analysis (CEDA)

File Format:
Data are provided in Comma Separated Values file (.csv) and R data file (*.Rds ) format.

Process overview

This dataset was generated by the computation detailed below.

Distributed Lag Non-linear Model (DLNM)


Statistical regression using distributed lag non-linear model is fully described in Gasparrini, Armstrong and Kenward, 2010, and Vicedo-Cabrera, Sera and Gasparrini, 2019.
Computation details for Temperature-attributable mortality (and hospital admission) time series, UK (1900-2099) dataset.
Model setup: natural cubic splines in all dimensions, 3 log-spaced knots in lag dimension, 8 degrees of freedom per year in long-term trend, confounding by day of week.

- Mortality: temperature knots at 0.1, 0.75, 0.9 quantiles, 21 lag days.

- Hospital admission: temperature knots at 0.4, 0.9 quantiles, 28 lag days.

Input Description


Output Description


Software Reference


No variables found.

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