区域气候模式对RCP8.5情景下21世纪北极风能潜力的预测(arctic - cordex)

IF 3.3 2区 地球科学 Q2 ENVIRONMENTAL SCIENCES Anthropocene Pub Date : 2023-09-13 DOI:10.1016/j.ancene.2023.100402
Mirseid Akperov , Alexey V. Eliseev , Annette Rinke , Igor I. Mokhov , Vladimir A. Semenov , Mariya Dembitskaya , Heidrun Matthes , Muralidhar Adakudlu , Fredrik Boberg , Jens H. Christensen , Klaus Dethloff , Xavier Fettweis , Oliver Gutjahr , Günther Heinemann , Torben Koenigk , Dmitry Sein , René Laprise , Ruth Mottram , Oumarou Nikiéma , Stefan Sobolowski , Wenxin Zhang
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引用次数: 0

摘要

北极地区的变暖速度是全球变暖速度的两倍多。为了量化可能的气候变化影响,我们从北极CORDEX的多模型集合中计算风能潜力。为此,我们使用一个由11名成员组成的多模型集合来分析风功率密度(WPD)的未来变化。在高排放情景(RCP8.5)下,估计了21世纪两个时期(2020-2049年和2070-2099年)的影响。多模式平均值显示,未来几十年北极地区的季节性WPD将增加。一系列时间尺度上的WPD变化预计将在北极地区增加。到21世纪末,信号会放大。已经分析了不可用于风能生产的100米风速(低于4米/秒或高于25米/秒的风速)频率的未来变化。RCM集合模拟了斯堪的纳维亚半岛和阿拉斯加、俄罗斯北部和加拿大选定陆地地区风力涡轮机更频繁出现的100米不可用风速。相比之下,西伯利亚东部和阿拉斯加北部的大部分地区的不可用风速都有所下降。因此,我们的研究结果表明,北极地区开发和生产风能的潜力增加了。对偏差校正和未校正的近地表风速和WPD变化进行了比较。研究发现,两者都显示出相同的未来变化迹象,但这些变化的幅度不同。还评估了未来北极海冰消退和植被扩张对近地表风速变化的影响。海冰和植被变化造成的地表粗糙度可能会对北极WPD的变化产生重大影响。
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Future projections of wind energy potentials in the arctic for the 21st century under the RCP8.5 scenario from regional climate models (Arctic-CORDEX)

The Arctic has warmed more than twice the rate of the entire globe. To quantify possible climate change effects, we calculate wind energy potentials from a multi-model ensemble of Arctic-CORDEX. For this, we analyze future changes of wind power density (WPD) using an eleven-member multi-model ensemble. Impacts are estimated for two periods (2020–2049 and 2070–2099) of the 21st century under a high emission scenario (RCP8.5). The multi-model mean reveals an increase of seasonal WPD over the Arctic in the future decades. WPD variability across a range of temporal scales is projected to increase over the Arctic. The signal amplifies by the end of 21st century. Future changes in the frequency of wind speeds at 100 m not useable for wind energy production (wind speeds below 4 m/s or above 25 m/s) has been analyzed. The RCM ensemble simulates a more frequent occurrence of 100 m non-usable wind speeds for the wind-turbines over Scandinavia and selected land areas in Alaska, northern Russia and Canada. In contrast, non-usable wind speeds decrease over large parts of Eastern Siberia and in northern Alaska. Thus, our results indicate increased potential of the Arctic for the development and production of wind energy. Bias corrected and not corrected near-surface wind speed and WPD changes have been compared with each other. It has been found that both show the same sign of future change, but differ in magnitude of these changes. The role of sea-ice retreat and vegetation expansion in the Arctic in future on near-surface wind speed variability has been also assessed. Surface roughness through sea-ice and vegetation changes may significantly impact on WPD variability in the Arctic.

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来源期刊
Anthropocene
Anthropocene Earth and Planetary Sciences-Earth and Planetary Sciences (miscellaneous)
CiteScore
6.30
自引率
0.00%
发文量
27
审稿时长
102 days
期刊介绍: Anthropocene is an interdisciplinary journal that publishes peer-reviewed works addressing the nature, scale, and extent of interactions that people have with Earth processes and systems. The scope of the journal includes the significance of human activities in altering Earth’s landscapes, oceans, the atmosphere, cryosphere, and ecosystems over a range of time and space scales - from global phenomena over geologic eras to single isolated events - including the linkages, couplings, and feedbacks among physical, chemical, and biological components of Earth systems. The journal also addresses how such alterations can have profound effects on, and implications for, human society. As the scale and pace of human interactions with Earth systems have intensified in recent decades, understanding human-induced alterations in the past and present is critical to our ability to anticipate, mitigate, and adapt to changes in the future. The journal aims to provide a venue to focus research findings, discussions, and debates toward advancing predictive understanding of human interactions with Earth systems - one of the grand challenges of our time.
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