Process-based climate change assessment for European winds using EURO-CORDEX and global models
نویسندگان
چکیده
Abstract Wind energy is an important pillar of decarbonization strategies and potentially vulnerable to climate change. Existing wind change assessments rely on models but a systematic investigation the global-to-regional modeling chain missing. In this study, I highlight key limitations, namely (a) differing representation land use in global regional which compromises comparability, (b) consistency large-scale features along chain. To end, analyze large European Coordinated Downscaling Experiment (EURO-CORDEX) ensemble (rcp85: N = 49; rcp45: 18; rcp26: 22) with driving 7; 5; 7), finding evidence that reduces mean speeds by up −0.8 m s −1 (offshore) −0.3 (onshore). provide physical explanations for these changes identifying two drivers. First, onshore drop regions scenarios strong show no EURO-CORDEX where held constant. Second, offshore reductions follow decreases equator-to-pole temperature gradient remarkably well correlations reaching around 0.9 resource-rich countries like Ireland, United Kingdom Norway, implying arctic amplification severe risk energy. My results suggest earlier conclusions negligible impacts might be premature if either strongly or polar at above range sampled models.
منابع مشابه
Integrated Assessment Models of Global Climate Change
We review recent work in the integrated assessment modeling of global climate change. This field has grown rapidly since 1990. Integrated assessment models seek to combine knowledge from multiple disciplines in formal integrated representations; inform policy-making, structure knowledge, and prioritize key uncertainties; and advance knowledge of broad system linkages and feedbacks, particularly...
متن کاملA comparison of neural network and process-based models for vegetation distribution under global climate change
Ecological models based on physical, chemical, and biological processes are diicult to develop and calibrate. Neural network methods provide an attractive alternative where the model is constructed automatically. We compared the MAPSS global vegetation model to a collection of neural network models trained on a data set covering current climate and vegetation distribution in the coterminous Uni...
متن کاملEvaluating integrated assessment models of global climate change
Integrated Assessment Models of global climate change (IAMs) are an established tool to study interlinkages between the human and the natural system. Insights from these complex models are widely used to advise policy-makers and to inform the general public. But up to now there has been little understanding of how these models can be evaluated and community-wide standards are missing. To answer...
متن کاملSelecting global climate models for regional climate change studies.
Regional or local climate change modeling studies currently require starting with a global climate model, then downscaling to the region of interest. How should global models be chosen for such studies, and what effect do such choices have? This question is addressed in the context of a regional climate detection and attribution (D&A) study of January-February-March (JFM) temperature over the w...
متن کاملUse of multi-model ensembles from global climate models for assessment of climate change impacts
Multi-model ensembles of climate predictions constructed by running several global climate models for a common set of experiments are available for impact assessment of climate change. Multi-model ensembles emphasize the uncertainty in climate predictions resulting from structural differences in the global climate models as well as uncertainty due to variations in initial conditions or model pa...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Environmental Research Letters
سال: 2022
ISSN: ['1748-9326']
DOI: https://doi.org/10.1088/1748-9326/aca77f