Advances in computer hardware have made it possible to calculate indicators of climate change and extremes derived from the daily output of high-resolution regional CC models for Europe on a desktop server with standard components. Using a combination of conventional hard disks, solid state and RAM disk improved the system performance but configuring the server for the processing task proved to be quite complex. Processed were indicators of climate change and extremes from regional models coming from the
- PRUDENCE project of the Danish Meteorological Institute
- consortial simulation of the Climate Limited-area Modelling (CLM) Community
- 12 runs of bias-corrected data from the ENSEMBLES project
The resulting indicators were standardized to a common map projection, grid size and spatial extent to be directly available for further analysis or integration with other spatial data. The indicators were used in the data available from the European Climate Adaptation Platform (CLIMATE-ADAPT), the European Database of Vulnerabilities to Natural Hazards (EVDAB), the JRC activities within the FP7 RESPONSES project and support the evaluation of changes in soil organic carbon under climate scenarios.
Donwload data: To get access to the data(indicators below), please compile the online form; instructions on how to download the data will then follow.
More Meteorological data: Please note that JRC also provides meteorological data (10 parameters: precipitation, temperature, snow depth, vapour pressure , radiation, wind speed, etc....), interpolated at 25km x 25km for the last 30 years through the Agri4Cast data portal.
List of Indicators
|INDICATOR||INTERVAL (30 YEARS)|
|Mean Daily temperature||x||x||x|
|Maximum daily temperature||x||x||x|
|Minimum daily temperature||x||x||x|
|Daily diurnal temperature range||x||x||x|
|Precipitation intensity on wet days||x||x||x|
|Longest period of consecutive dry days||x|
|Maximum amount of precipitation in 5 consecutive days||x|
|Standard Deviation (STD)|
|STD of daily mean temperature||x|
|95th percentile of monthly mean of maximum daily temperature||J, J, A|
|99th percentile of monthly mean of maximum daily temperature||J, J, A|
|99th percentile of precipitation during wet day||x|
|No. of days with Tmax>25C (Summer days)||Summer||J, J, A|
|No. of days with Tmax>35C||Summer||J, J, A|
|No. of Days with Tmin>20C (Tropical nights)||Summer||J, J, A|
|No. of Days with Tmin>25C||Summer||J, J, A|
|Total annual number of wet days||x||x||x|
|Heating Degree Days||x||D, J, F|
|Cooling Degree Days||x||J, J, A|
|HUMIDEX > 25||Summer|
|HUMIDEX > 35||Summer|
|Heat Wave||Summer||J, J, A|
J, J, A: June, July and August
D, J, F: December, January, February
Title: Indices of Change and Extremes from Regional Climate Change Data
Description: Indicators of climate change and extremes from regional models coming from 3 sources: PRUDENCE project of the Danish Meteorological Institute, consortial simulation of the Climate Limited-area Modelling (CLM) Community, 12 runs of bias-corrected data from the ENSEMBLES project.
Spatial coverage: Europe
Pixel size: 10 km
Format: Raster (IDRISI)
Projection: ETRS89 Lambert Azimuthal Equal Area
Release date: 5 April 2013
Hiederer, R. (2012) Processing Indices of Change and Extremes from Regional Climate Change Data. Luxembourg: Publications Office of the European Union. EUR 25339 EN. 29pp.
ISBN 978-92-79-24994-5 , doi: 10.2788/27516 , Download: EUR25339EN.pdf
Lung, T., C. Lavalle, R. Hiederer, A. Dosio and L. M. Bouwer (in press) A multi-hazard regional level impact assessment for Europe combining indicators of climatic and non-climatic change. Global Environmental Change.
Available online 21 December 2012: http://www.sciencedirect.com/science/article/pii/S0959378012001409
Dankers, R. and R. Hiederer (2008) Extreme Temperatures and Precipitation in Europe: Analysis of a High-Resolution Climate Change Scenario. Luxembourg: Office for Official Publications of the European Communities. EUR 23291 EN. 66pp.
Contact: Roland Hiederer (roland.hiederer at jrc.ec.europa.eu)
References and contacts for Climate change (CC) data
Jens Hesselbjerg Christensen and Ole Bøssing Christensen (2007) A summary of the PRUDENCE model projections of changes in European climate by the end of this century. Climatic Change (2007) Vol. 81, pp. 7-30.
Contact: Ole Bøssing Christensen (obc at dmi.dk)
CLM Consortial Experiment
Hollweg, H.D., U. Böhm, I. Fast, B. Hennemuth, K. Keuler, E. Keup-Thiel, M. Lautenschlager, S. Legutke, K. Radtke, B. Rockel, M. Schubert, A. Will, M. Woldt and C. Wunram (2008) Ensemble Simulations over Europe with the Regional Climate Model CLM forced with IPCC AR4 Global Scenarios. Max-Planck-Institut für Meteorologie, Gruppe Modelle & Daten, Hamburg. 150pp.
ISSN 1619-2257. DOI: 10.2312/WDCC/MaD_TeReport_No03
Contact: data at dkrz.de
A.Dosio, P.Paruolo, and R.Rojas (2012) Bias correction of the ENSEMBLES high resolution climate change projections for use by impact models: analysis of the climate change signal, J. Geophys. Res, 117, DOI:10.1029/2012JD017968
A.Dosio and P. Paruolo (2011): Bias correction of the ENSEMBLES high-resolution climate change projections for use by impact models: Evaluation on the present climate, J. Geophys. Res., 116, D16106. DOI: 10.1029/2011JD015934.
Contact: Alessandro Dosio (alessandro.dosio at jrc.ec.europa.eu)
Acknowledgement: The ENSEMBLES data used in this work was funded by the EU FP6 Integrated Project ENSEMBLES (contract 505539) whose support is gratefully acknowledged.
||Title: Climate Change Regional Indicators of Change and Extremes for Europe|
Resource Type: Datasets, Soil Projects Data
Registration requested: Request Form
Publisher: Joint Research Centre of the European Commission