Data for "Turbine location-aware multi-decadal wind power predictions for Germany using CMIP6"
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Supporting data for the paper "Turbine location-aware multi-decadal wind power predictions for Germany using CMIP6" by Effenberger, Ludwig (2024), the corresponding code and documentation can be accessed on GitHub once the paper is published. The paper is currently under review, a pre-print is accessible on arXiv. CMIP6 data [1] can be downloaded from the ESGF data node [2]. Power generation for earlier years can be downloaded for the individual German TSOs [3], for later years they are available through the SMARD database [4]. Turbine data is provided by Manske et al. [5]. The reanalysis dataset used is ERA5 [6]. Turbine data is from windpowerlib [7]. [1] Wolfgang A Müller, Johann H Jungclaus, Thorsten Mauritsen, Johanna Baehr, Matthias Bittner, R Budich, Felix Bunzel, Monika Esch, Rohit Ghosh, Helmut Haak, et al. Ahigher-resolution version of the max planck institute earth system model (MPI-ESM1.2-HR). Journal of Advances in Modeling Earth Systems, 10(7):1383–1413, 2018. [2] ESGF, July 2024. URL https://esgf-metagrid.cloud.dkrz.de/search. [3] OPSD. Open power system data platform, July 2024. URL https://open-power-system-data.org/data-sources. [4] Bundesnetzagentur. Smard, July 2024. URL https://www.smard.de/en/downloadcenter/download-market-data/. [5] David Manske and Julius Schmiedt. Geo-locations and System Data of Renewable Energy Installations in Germany, July 2023. URL https://doi.org/10.5281/zenodo.8188601. [6] Hans Hersbach, Bill Bell, Paul Berrisford, Shoji Hirahara, Andr.s Hor.nyi, Joaqu.n Mu.oz-Sabater, Julien Nicolas, Carole Peubey, Raluca Radu, Dinand Schepers, et al. The ERA5 global reanalysis. Quarterly Journal of the Royal Meteorological Society, 146(730):1999–2049, 2020.
本数据集为Effenberger、Ludwig于2024年发表的论文《使用CMIP6实现德国风机位置感知的多年代际风电功率预测》（原英文标题："Turbine location-aware multi-decadal wind power predictions for Germany using CMIP6"）的配套支撑数据。论文正式发表后，相关代码与文档可在GitHub平台获取。目前该论文仍处于审稿阶段，预印本可在arXiv平台获取。 耦合模式比较计划第六阶段（CMIP6，Coupled Model Intercomparison Project Phase 6）数据[1]可通过ESGF数据节点[2]下载。早年德国各输电系统运营商（TSO，Transmission System Operator）的发电数据可从[3]获取，近年发电数据则可通过SMARD数据库[4]获取。风机数据由Manske等人[5]提供，所用再分析数据集为ERA5[6]，风机数据来源于windpowerlib[7]。 [1] Wolfgang A Müller、Johann H Jungclaus、Thorsten Mauritsen、Johanna Baehr、Matthias Bittner、R Budich、Felix Bunzel、Monika Esch、Rohit Ghosh、Helmut Haak等. 马克斯·普朗克研究所地球系统模型的高分辨率版本（MPI-ESM1.2-HR）. 《地球系统建模进展期刊》（*Journal of Advances in Modeling Earth Systems*）, 10(7):1383–1413, 2018. [2] ESGF, 2024年7月. 链接：https://esgf-metagrid.cloud.dkrz.de/search. [3] 开放电力系统数据平台（OPSD, Open Power System Data）, 2024年7月. 链接：https://open-power-system-data.org/data-sources. [4] 德国联邦网络局（Bundesnetzagentur）. SMARD, 2024年7月. 链接：https://www.smard.de/en/downloadcenter/download-market-data/. [5] David Manske与Julius Schmiedt. 德国可再生能源发电装置的地理定位与系统数据, 2023年7月. 链接：https://doi.org/10.5281/zenodo.8188601. [6] Hans Hersbach、Bill Bell、Paul Berrisford、Shoji Hirahara、András Horváth、Joaquín Muñoz-Sabater、Julien Nicolas、Carole Peubey、Raluca Radu、Dinand Schepers等. ERA5全球再分析数据集. 《英国皇家气象学会季刊》（*Quarterly Journal of the Royal Meteorological Society*）, 146(730):1999–2049, 2020.
