Abstract There has been a significant increase in the number of published tidal-stream energy resource assessments in recent years due to the growing availability of open-source hydrodynamic models, and freely available data for model bathymetry (e.g. GEBCO_2014 and ETOPO) and boundary conditions (e.g. TPXO, FES, EOT). This study examines how the choice of bathymetry and tidal constituents affects the quantification of a tidal-stream energy resource, by conducting sensitivity tests for the Gulf of California. We find that the mean KPD (Kinetic Power Density) and annual mean power are significantly underestimated when using just GEBCO_2014 or ETOPO bathymetry data sources on their own. For the Midriff region, between San Lorenzo and San Esteban Islands (herein the San Lorenzo Passage), the annual mean power potential was estimated to be around 50 MW when using freely available bathymetry data, while the annual mean power increased to ~200 MW when using a bespoke dataset that was a combination of GEBCO and higher-resolution bathymetry provided by CICESE (The Centre for Scientific Research and Higher Education at Ensenada). Current speeds reduce from 2.4 m/s when using high-resolution to around 1.2 m/s and 0.8 m/s when using open source bathymetry products. Finally, we compared the estimated energy using tidal levels predicted from 29 tidal constituents compared with simulations that included just the principal semi-diurnal lunar (M2) and solar (S2) constituents. The annual mean KPD reduced by almost 1/3rd in the San Lorenzo Passage, when just considering M2 and S2 constituents, suggesting that diurnal and higher order harmonic constituents are important for accurate resource assessments in this region.

中文翻译：

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墨西哥加利福尼亚湾潮汐流能源特征的测深敏感性评估和潮汐成分选择

摘要 近年来，由于开源水动力模型、模型测深数据（例如 GEBCO_2014 和 ETOPO）和边界条件的免费可用数据的日益普及，已发表的潮汐流能源评估数量显着增加（例如 TPXO、FES、EOT）。本研究通过对加利福尼亚湾进行敏感性测试，研究了水深测量和潮汐成分的选择如何影响潮汐流能源的量化。我们发现，单独使用 GEBCO_2014 或 ETOPO 测深数据源时，平均 KPD（动能密度）和年平均功率被显着低估。对于中部地区，在圣洛伦索和圣埃斯特万群岛之间（此处为圣洛伦索航道），使用免费提供的水深测量数据时，年平均功率潜力估计约为 50 MW，而使用定制数据集时，年平均功率增加到约 200 MW，该数据集结合了 GEBCO 和 CICESE 提供的更高分辨率水深测量（The恩塞纳达科学研究和高等教育中心）。当前速度从使用高分辨率时的 2.4 m/s 降低到使用开源测深产品时的 1.2 m/s 和 0.8 m/s。最后，我们将使用 29 种潮汐成分预测的潮汐水平估算的能量与仅包括主要半昼夜月球 (M2) 和太阳 (S2) 成分的模拟进行了比较。仅考虑 M2 和 S2 成分时，圣洛伦索海峡的年平均 KPD 减少了近 1/3，