Added value of high-resolution regional climate simulations for regional impact studies

Hackenbruch, Julia; Schädler, Gerd; Schipper, Janus Willem

doi:10.1127/metz/2016/0701

Cited by 23 publications

(21 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…). A standard resolution for present‐day and future RCMs is 10–25 km, and is increased to 1–3 km for specific applications . For paleoclimate applications, the spatial resolution has usually been limited to about 50 km due to the demand of longer simulation periods, requiring a high amount of computational resources.…”

Section: Models and Boundary Conditionsmentioning

confidence: 99%

“…A standard resolution for present-day and future RCMs is 10-25 km, 22 and is increased to 1-3 km for specific applications. [33][34][35][36][37] For paleoclimate applications, the spatial resolution has usually been limited to about 50 km due to the demand of longer simulation periods, requiring a high amount of computational resources. Nevertheless, a spatial resolution of this order of magnitude is still more suitable for simulating precipitation extremes and the hydroclimate compared to global models.…”

Section: Models and Boundary Conditionsmentioning

confidence: 99%

See 1 more Smart Citation

Perspectives of regional paleoclimate modeling

Ludwig

Gómez-Navarro

Pinto

et al. 2018

Annals of the New York Academy of Sciences

View full text Add to dashboard Cite

Regional climate modeling bridges the gap between the coarse resolution of current global climate models and the regional-to-local scales, where the impacts of climate change are of primary interest. Here, we present a review of the added value of the regional climate modeling approach within the scope of paleoclimate research and discuss the current major challenges and perspectives. Two time periods serve as an example: the Holocene, including the Last Millennium, and the Last Glacial Maximum. Reviewing the existing literature reveals the benefits of regional paleo climate modeling, particularly over areas with complex terrain. However, this depends largely on the variable of interest, as the added value of regional modeling arises from a more realistic representation of physical processes and climate feedbacks compared to global climate models, and this affects different climate variables in various ways. In particular, hydrological processes have been shown to be better represented in regional models, and they can deliver more realistic meteorological data to drive ice sheet and glacier modeling. Thus, regional climate models provide a clear benefit to answer fundamental paleoclimate research questions and may be key to advance a meaningful joint interpretation of climate model and proxy data.

show abstract

Section: Models and Boundary Conditionsmentioning

confidence: 99%

Section: Models and Boundary Conditionsmentioning

confidence: 99%

Perspectives of regional paleoclimate modeling

Ludwig

Gómez-Navarro

Pinto

et al. 2018

Annals of the New York Academy of Sciences

View full text Add to dashboard Cite

show abstract

“…Dynamical downscaling techniques can be helpful to test climate sensitivity and feedback mechanisms on the regional scale and have been widely used for recent, present, and future climate projections [e.g., Giorgi and Gutowski, 2015;Jacob et al, 2014]. Regional climate models (RCMs) can both add value to [Feser et al, 2011;Hackenbruch et al, 2016] and reduce the biases in the GCM simulations [Diaconescu and Laprise, 2013], as the higher resolution permits a better representation of relevant physical processes for regional weather and climate. So far, RCMs have only been scarcely used for past climate simulations in Europe, e.g., for the Common Era [e.g., Gomez-Navarro et al, 2015;Raible et al, 2017], the Younger Dryas [Renssen et al, 2001], and the LGM [Strandberg et al, 2011].…”

Section: Research Lettermentioning

confidence: 99%

Impacts of surface boundary conditions on regional climate model simulations of European climate during the Last Glacial Maximum

Ludwig

Pinto

Raible

et al. 2017

Geophysical Research Letters

View full text Add to dashboard Cite

We examine the influences of North Atlantic sea surface temperatures (SSTs) and vegetation on regional climate simulations over Europe during the Last Glacial Maximum (LGM). Simulated regional temperature and precipitation patterns over Europe are considerably improved when using revised SSTs based on proxy data. Likewise, the simulated permafrost is more accurately reproduced with the SST modifications. These improvements are partially related to the changed regional atmospheric circulation due to the revised SSTs, leading to colder and drier conditions over Western Europe. Further sensitivity tests with prescribed vegetation for LGM conditions provide evidence of the sensitivity of the simulated glacial climate. This study reveals the importance of considering more realistic SST and vegetation boundary conditions for a more accurate representation of regional climate variability under glacial conditions.

show abstract

“…While many of these obstacles are not climate-specific and may emerge in other fields as well, Biesbroek et al [11] identify below, and require climatological input data at spatial and temporal resolutions not yet available in current standard climate simulations. Nevertheless, the scale gap between regional climate models and local impact models has closed considerably [27]. Furthermore, simulation of longer time periods, and generation of ensembles of regional climate model projections based on different global climate model driving data or different emission scenarios are now possible [28][29][30][31][32][33].…”

Section: Introductionmentioning

confidence: 99%

Tailoring Climate Parameters to Information Needs for Local Adaptation to Climate Change

Hackenbruch

Kunz-Plapp

Müller

et al. 2017

Climate

Self Cite

View full text Add to dashboard Cite

Abstract:Municipalities are important actors in the field of local climate change adaptation. Stakeholders need scientifically sound information tailored to their needs to make local assessment of climate change effects. To provide tailored data to support municipal decision-making, climate scientists must know the state of municipal climate change adaptation, and the climate parameters relevant to decisions about such adaptation. The results of an empirical study in municipalities in the state of Baden-Wuerttemberg in Southwestern Germany showed that adaptation is a relatively new topic, but one of increasing importance. Therefore, past weather events that caused problems in a municipality can be a starting point in adaptation considerations. Deduction of tailored climate parameters has shown that, for decisions on the implementation of specific adaptation measures, it also is necessary to have information on specific parameters not yet evaluated in climate model simulations. We recommend intensifying the professional exchange between climate scientists and stakeholders in collaborative projects with the dual goals of making practical adaptation experience and knowledge accessible to climate science, and providing municipalities with tailored information about climate change and its effects.

show abstract

Added value of high-resolution regional climate simulations for regional impact studies

Cited by 23 publications

References 0 publications

Perspectives of regional paleoclimate modeling

Perspectives of regional paleoclimate modeling

Impacts of surface boundary conditions on regional climate model simulations of European climate during the Last Glacial Maximum

Tailoring Climate Parameters to Information Needs for Local Adaptation to Climate Change

Contact Info

Product

Resources

About