Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2018 Apr 10:5:180057.
doi: 10.1038/sdata.2018.57.

Ensemble of European regional climate simulations for the winter of 2013 and 2014 from HadAM3P-RM3P

Nathalie Schaller  1   2 , Sarah N Sparrow  3 , Neil R Massey  1 , Andy Bowery  3 , Jonathan Miller  3 , Simon Wilson  4 , David C H Wallom  3 , Friederike E L Otto  1
Affiliations

Ensemble of European regional climate simulations for the winter of 2013 and 2014 from HadAM3P-RM3P

Nathalie Schaller et al. Sci Data. .

Abstract

Large data sets used to study the impact of anthropogenic climate change on the 2013/14 floods in the UK are provided. The data consist of perturbed initial conditions simulations using the Weather@Home regional climate modelling framework. Two different base conditions, Actual, including atmospheric conditions (anthropogenic greenhouse gases and human induced aerosols) as at present and Natural, with these forcings all removed are available. The data set is made up of 13 different ensembles (2 actual and 11 natural) with each having more than 7500 members. The data is available as NetCDF V3 files representing monthly data within the period of interest (1st Dec 2013 to 15th February 2014) for both a specified European region at a 50 km horizontal resolution and globally at N96 resolution. The data is stored within the UK Natural and Environmental Research Council Centre for Environmental Data Analysis repository.

PubMed Disclaimer

Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1. The region studied by the Regional Climate Model.
Co-ordinates described in Table 1. The background image is the NASA ‘Blue Marble’ image available from http://visibleearth.nasa.gov.
Figure 2
Figure 2. Workflow for submission of workunits within the Climateprediction.net/Weather@home system showing deposit of configuration and initial conditions data.
The generated workunits distribution to citizen scientists systems, results passing back into the system and then onto the generation of scientific outputs.
Figure 3
Figure 3. Quantile–quantile plot of the seasonal distribution of modeled daily mean temperature compared to the distribution of daily mean temperature in the E‐OBS dataset over the UK and Ireland.
This is a reproduction of figure 12 (ref. 7). Columns from left to right represent MAM, JJA, SON and DJF respectively. The regional model is shown in the top row and the global model in the bottom row. The black line shows the quantile values for the entire ensemble. The red envelope shows the 5th to 95th percentile range of values for individual ensemble members.
Figure 4
Figure 4. As figure 3 but for daily mean precipitation.
This is a reproduction of figure 13 (ref. 7). The blue envelope shows the 5th to 95th percentile range of values for individual ensemble members.
See this image and copyright information in PMC

Dataset use reported in

References

Data Citations

    1. Sparrow S., et al. . 2017. Centre for Environmental Data Analysis (CEDA) http://dx.doi.org/10.5285/8c03f651457f458eaf7b16f68670a0b8 - DOI

References

    1. Jacob D. et al. EURO-CORDEX: new high-resolution climate change projections for European impact research. Reg. Environ. Change 14, 563–578 (2014).
    1. Haustein K. et al. Real-time extreme weather event attribution with forecast seasonal SSTs. Environ. Res. Lett. 11, 064006 (2016).
    1. Schaller N. et al. Human influence on climate in the 2014 southern England winter floods and their impacts. Nat. Clim. Chang 6, 627–634 (2016).
    1. Stone D. A. & Allen M. R. The end-to-end attribution problem: from emissions to impacts. Clim. Change 71, 303–318 (2005).
    1. Vautard R. et al. Attribution of human-induced dynamical and thermodynamical contributions in extreme weather events. Environ. Res. Lett. 11, 114009 (2016).