EconPapers    
Economics at your fingertips  
 

Impact of Land-Use Change and User-Tailored Climate Change Information from a High-Resolution Climate Simulation Ensemble

Hendrik Feldmann (), Marie Hundhausen, Regina Kohlhepp and Marcus Breil
Additional contact information
Hendrik Feldmann: Karlsruhe Institute of Technology (KIT), Institute for Meteorology and Climate Research, Department Troposphere Research (IMK-TRO)
Marie Hundhausen: Karlsruhe Institute of Technology (KIT), Institute for Meteorology and Climate Research, Department Troposphere Research (IMK-TRO)
Regina Kohlhepp: Karlsruhe Institute of Technology (KIT), Institute for Meteorology and Climate Research, Department Troposphere Research (IMK-TRO)
Marcus Breil: Karlsruhe Institute of Technology (KIT), Institute for Meteorology and Climate Research, Department Troposphere Research (IMK-TRO)

A chapter in High Performance Computing in Science and Engineering '22, 2024, pp 299-314 from Springer

Abstract: Abstract The KIT KLIWA ensemble of very high resolution climate simulations has been completed at HLRS in 2021 and is now available as a quasi-transient data set from 1971–2100 providing climate information down to the kilometer scale. A scale in which deep convection can be explicitly resolved by the model and is no longer parameterized. Within the report we analyse the benefit of those high-resolution simulations focusing on application issues and user-ready indices for climate adaptation. We found that climate change information could be resolved on the local scale, which showed dependencies of the projections on major landscapes as well as on land use. Furthermore, we analyse the impact of land use changes in climate models. Sensitivity studies using observed past land use changes show improved representation of the annual and summer temperature in large parts of Europe compared to a simulation with constant land cover. A second experiment with targeted land use changes towards an afforestation with deciduous trees shows that this could reduce peak heat wave temperatures compared to the prevalent coniferous forests.

Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-46870-4_20

Ordering information: This item can be ordered from
http://www.springer.com/9783031468704

DOI: 10.1007/978-3-031-46870-4_20

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-06-01
Handle: RePEc:spr:sprchp:978-3-031-46870-4_20