Skip to main content

Climate Change Scenario: From Climate Model Ensemble to Local Indicators

  • Chapter
  • First Online:
Book cover Economic Evaluation of Climate Change Impacts

Part of the book series: Springer Climate ((SPCL))

Abstract

The aim of this task within the COIN framework is the preparation of the climatological information for all involved sectors for the past and the possible range of future developments. As a basis for the historical observations, products of the Austrian weather service (ZAMG) are used. The climate change scenarios are derived from 31 regional and global climate models forced with four different emission scenarios.

Impact relevant climate depending indicators have been developed and calculated from observational data and climate change scenario on a NUTS3 level. In total, 63 impact relevant indicators have been defined. The majority of the indicators are a kind of “peak over threshold” analyses like the temperature threshold heat day (Tmax ≥ 30 °C).

All climate scenarios indicate a warming within the twenty-first century. The whole ensemble indicates a warming of 0.5 up to 4 °C till 2050 and at the end of the century the warming reaches from ~2 °C up to 6 °C in winter and up to 9 °C in summer. The low border stems from models forced with the RCP 4.5 emission scenario and the high border from models forced with RCP 8.5.

The climate change signal for precipitation is not that clear. The annual sum shows no clear trend. For summer precipitation, the majority of the model indicates a decrease till −20 % and in winter an increase of the same magnitude.

The derived indicators reflect the same trends. In general, it can be said that temperature depending indicators at the middle of the century derived from the hottest realisations have a similar climate change signal as the “mid-range” scenarios at the end of the century.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Christensen JH, Carter TR, Rummukainenm M (2007) Evaluating the performance and utility of regional climate models: the PRUDENCE Project. Clim Change 81(1):1–6. doi:10.1007/s10584-006-9211-6

    Article  Google Scholar 

  • Formayer H (2010) Prognostizierte Klimaveränderungen in Österreich: Unsicherheiten und Bias. In: Österreichischer Wasser und Abfallwirtschaftsverband, Auswirkungen des Klimawandels auf Hydrologie und Wasserwirtschaft in Österreich, Eigenverlag des Österreichischer Wasser und Abfallwirtschaftsverband http://www.oewav.at/Page.aspx_param_target_is_135399.v.aspx 202 Seiten; ISBN: ISBN 978-3-902084-79

  • Haiden T, Kann A, Pistotnik G, Stadlbacher K, Wittmann C (2009) Integrated Nowcasting through Comprehensive Analysis (INCA) – system description. ZAMG report, p. 60. http://www.zamg.ac.at/fix/INCA_system.pdf>http://www.zamg.ac.at/fix/INCA_system.pdf

  • Hewitt C, Griggs D (2004) Ensembles-based predictions of climate changes and their impacts (ENSEMBLES). Eos 85:566

    Article  Google Scholar 

  • Kyselý J (2002) Temporal fluctuations in heat waves at Prague-Klementinum, the Czech Republic, in 1901–1997, and their relationships to atmospheric circulation. Int J Climatol 22:33–50

    Article  Google Scholar 

  • Loibl W, Züger J, Köstl M, Formayer H, Schicker I, Gobiet A, Suklitsch M, Schöner W, Anders I, Matulla C (2010) Reclip:century – a project conducting 21st century regional climate simulation runs focussing on the Greater Alpine Region, EGU General Assembly 2010, held 2–7 May, 2010 in Vienna, Austria, p. 11752

    Google Scholar 

  • Meehl GA et al (2007) The WCRP CMIP3 multimodel dataset—a new era in climate change research. Bull Am Meteorol Soc 88:1383–1394

    Article  Google Scholar 

  • Meinshausen M, Smith S, et al. (2011) The RCP greenhouse gas concentrations and their extension from 1765 to 2500. Clim Change (Special Issue on RCPs)

    Google Scholar 

  • Meissner C, Schädler G, Panitz H-J et al (2009) High-resolution sensitivity studies with the regional climate model COSMO-CLM. Meteorol Z 18(5):543–557. doi:10.1127/0941-2948/2009/0400

    Article  Google Scholar 

  • NUTS (2013) NUTS – Nomenclature of territorial units for statistics. http://epp.eurostat.ec.europa.eu/portal/page/portal/nuts_nomenclature/introduction

  • Schöner W, Dos Santos Cardoso EM (2004) Datenbereitstellung, Entwicklung von Regionalisierungstools und einer Schnittstelle zu den regionalen Klimamodellen. ZAMG Report for project year 1 PJ1. In: Loibl et al. (ed) Reclip:more – Research for climate protection: model run evaluation, 1. Jahresbericht. ARC systems research, Seibersdorf

    Google Scholar 

  • Taylor KE, Stouffer RJ, Meehl GA (2012) An overview of CMIP5 and the experiment design. Bull Am Meteorol Soc 93:485–498. doi:10.1175/BAMS-D-11-00094.1

    Article  Google Scholar 

  • Tebaldi C, Knutti R (2007) The use of the multi-model ensemble in probabilistic climate projections. Philos Trans R Soc A 365:2053–2075

    Article  Google Scholar 

  • Themeßl M, Gobiet A, Heinrich G (2011) Empirical-statistical downscaling and error correction of daily precipitation of regional climate models and its impact on the climate change signal. Clim Change 112(2):449–468. doi:10.1007/s10584-011-0224-4

    Article  Google Scholar 

  • Vlcek O, Radan H (2009) Is daily precipitation gamma-distributed? Adverse effects of an incorrect use of the Kolmogorov–Smirnov test. Atmos Res 93:759–766. doi:10.1016/j.atmosres.2009.03.005

    Article  Google Scholar 

Download references

Acknowledgement

We thank the Austrian Central Institute for Meteorology and Geodynamics—ZAMG—for providing meteorological observation data. The ENSEMBLES data used in this work was funded by the EU FP6 Integrated Project ENSEMBLES (Contract number 505539) whose support is gratefully acknowledged. We acknowledge the World Climate Research Programme’s Working Group on Coupled Modelling, which is responsible for CMIP, and we thank the climate modelling groups for producing and making available their model output.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Herbert Formayer .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Formayer, H., Nadeem, I., Anders, I. (2015). Climate Change Scenario: From Climate Model Ensemble to Local Indicators. In: Steininger, K., König, M., Bednar-Friedl, B., Kranzl, L., Loibl, W., Prettenthaler, F. (eds) Economic Evaluation of Climate Change Impacts. Springer Climate. Springer, Cham. https://doi.org/10.1007/978-3-319-12457-5_5

Download citation

Publish with us

Policies and ethics