Dataset associated with paper "Topographic hotspots of Southern Ocean eddy upwelling"

<strong>Data repository for Yung, Morrison and Hogg (2022) <em>Topographic hotspots of Southern Ocean eddy upwelling</em>, submitted to Frontiers in Marine Science</strong> This repository contains processed data, created using scripts available in the github repository https://github.com/claireyung/Topographic_Hotspots_Upwelling-Paper_Code. The data comes from the repeat year atmospheric forcing version of the ACCESS-OM2 modelling suite 0.1 degree model (see Kiss et al. (2020), http://www.cosima.org.au, model available at https://github.com/COSIMA/access-om2). The model was spun up for 270 years, and the next 10 years of output were used. Daily resolution data was used in the calculation of quantities, which results in a large amount of raw data (~4TB for Southern Ocean latitudes (35-70S), 10 years). Therefore, we only provide relevant processed data. Details of these calculations are available in the above github repository. Any quantities calculated along sea surface height contours are labelled with a letter. These are referred to in the following table. | Letter | SSH | | :---: | :---: | | A | -0.1m | | B | -0.2m | | C | -0.3m | | D | -0.4m | | E | -0.5m | | F | -0.6m | | G | -0.7m | | H | -0.8m | | I | -0.9m | | J | -1.0m | | K | -1.1m | | L | -1.2m | | M | -1.3m | | N | -1.4m | | O | -1.5m | | P | -0.15m| | Q | -0.25m| | R | -0.35m| | S | -0.45m| | T | -0.55m| | U | -0.65m| | V | -0.75m| | W | -0.85m| | X | -0.95m| | Y | -1.05m| | Z | -1.15m| | Z1 | -1.25m| | Z2 | -1.35m| | Z3 | -1.45m| There are two versions of the along-contour coordinates for each contour. The latlon named files are more useful for analysis, the other is used while computing transport across contours. These are made using https://github.com/claireyung/Topographic_Hotspots_Upwelling-Paper_Code/blob/main/Analysis_Code/make_contour.ipynb. Distance along contour files contain the cumulative distance along the contour in 10^3 km from 80E (https://github.com/claireyung/Topographic_Hotspots_Upwelling-Paper_Code/blob/main/Figure_Code/Fig7-upwelling_characteristics.ipynb). Dimensions are contour index, counting from 80E. There are also segment length files of each part of the contour. vh_eddy files contain the eddy transport across the contours, averaged over 10 years. These are calculated by taking the time mean of the residual transport (\(\overline{vh}\)), e.g. SO_L_vol_trans_across_contour_binned.nc, and subtracting the mean transport \(\overline{v}\overline{h}\), calculated from the time mean isopycnal thicknesses along contours (e.g. SO_L_dzu_across_contour_binned) and the time mean velocity, \(v = vh/h\) (calculated in https://github.com/claireyung/Topographic_Hotspots_Upwelling-Paper_Code/blob/main/Analysis_Code/Save_and_bin_along_contours.ipynb). The full files are provided for the contour L (SSH=-1.2 m) as is provided in the paper manuscript Fig. 6. These eddy transports have dimensions of sigma1 and contour index (the two extra SO_L files have time too). vh_eddy_interp files contain the interpolated eddy transports at hotspots, for the density range 1032.2kg/m^3 &lt;= sigma_1 &lt;= 1032.5kg/m^3. Calculation method provided at https://github.com/claireyung/Topographic_Hotspots_Upwelling-Paper_Code/blob/main/Analysis_Code/Interpolation_between_contours.ipynb. We also provide files that summarise the transport in density and SSH space for hotspots and the circumpolar total. See https://github.com/claireyung/Topographic_Hotspots_Upwelling-Paper_Code/blob/main/Analysis_Code/UpwellingArmDefn.ipynb for calculation details. The exact names and specifications are provided in the README. We provide 10 year mean files of the energy conversion and energy terms over the Southern Ocean latitude range. These are made by binning daily transports and layer thicknesses into sigma 1 bins over the Southern Ocean (https://github.com/claireyung/Topographic_Hotspots_Upwelling-Paper_Code/blob/main/Analysis_Code/Binning_SouthernOcean_code.ipynb) and then calculating energy terms (https://github.com/claireyung/Topographic_Hotspots_Upwelling-Paper_Code/blob/main/Analysis_Code/Save_MKE_EKE.ipynb, https://github.com/claireyung/Topographic_Hotspots_Upwelling-Paper_Code/blob/main/Analysis_Code/Save_Energy_Conversion_Terms.ipynb) The files named with contour_energies contain the EKE, Form stress and Reynolds stress averaged over 10 years but extracted along the same contours as eddy transport. https://github.com/claireyung/Topographic_Hotspots_Upwelling-Paper_Code/blob/main/Analysis_Code/save_energy_terms_along_contours.ipynb We also provide 10 year averaged density binned transport, layer thickness and densities. Please refer to the README file for additional details.**本数据集仓库对应Yung、Morrison与Hogg（2022）的研究论文《南大洋涡旋上升流地形热点》，该论文已提交至《Frontiers in Marine Science》（《海洋科学前沿》）** 本仓库包含经处理的数据，相关处理脚本可在GitHub仓库https://github.com/claireyung/Topographic_Hotspots_Upwelling-Paper_Code中获取。本数据集源自ACCESS-OM2模式套件0.1度分辨率版本的逐年大气强迫场版本（详见Kiss等人（2020）的研究，相关网址为http://www.cosima.org.au，该模式可在https://github.com/COSIMA/access-om2获取）。该模式先进行了270年的自旋启动，随后使用后续10年的模式输出数据。 计算过程采用逐日分辨率的数据，由此产生的原始数据体量庞大（南大洋纬度带35°S-70°S范围、10年时长的原始数据约为4TB），因此本仓库仅提供经处理的相关数据。相关计算细节可参阅上述GitHub仓库。 所有沿海面高度（Sea Surface Height, SSH）等值线计算得到的物理量均以字母标记，相关对应关系见下表： | 字母标记 | 海面高度（SSH）阈值 | | :---: | :---: | | A | -0.1米 | | B | -0.2米 | | C | -0.3米 | | D | -0.4米 | | E | -0.5米 | | F | -0.6米 | | G | -0.7米 | | H | -0.8米 | | I | -0.9米 | | J | -1.0米 | | K | -1.1米 | | L | -1.2米 | | M | -1.3米 | | N | -1.4米 | | O | -1.5米 | | P | -0.15米 | | Q | -0.25米 | | R | -0.35米 | | S | -0.45米 | | T | -0.55米 | | U | -0.65米 | | V | -0.75米 | | W | -0.85米 | | X | -0.95米 | | Y | -1.05米 | | Z | -1.15米 | | Z1 | -1.25米 | | Z2 | -1.35米 | | Z3 | -1.45米 | 每条等值线对应两种沿等值线的坐标版本：命名为latlon的文件更适用于数据分析，另一种版本则用于计算跨等值线的输运量。上述坐标文件均通过https://github.com/claireyung/Topographic_Hotspots_Upwelling-Paper_Code/blob/main/Analysis_Code/make_contour.ipynb生成。 沿等值线距离文件存储了从80°E起算的等值线累计距离（单位：10³千米），相关代码可参见https://github.com/claireyung/Topographic_Hotspots_Upwelling-Paper_Code/blob/main/Figure_Code/Fig7-upwelling_characteristics.ipynb。数据维度为等值线索引，索引从80°E处开始计数。本仓库同时提供等值线各分段的长度文件。 vh_eddy文件存储了10年平均的跨等值线涡旋输运量。该数据的计算方式为：先求取剩余输运量$overline{vh}$的时间平均（例如文件SO_L_vol_trans_across_contour_binned.nc），再减去平均输运量$overline{v}overline{h}$；其中$overline{v}overline{h}$由沿等值线的等密度层厚度的时间平均（例如文件SO_L_dzu_across_contour_binned）与时间平均流速$v = vh/h$计算得到，相关计算代码可参见https://github.com/claireyung/Topographic_Hotspots_Upwelling-Paper_Code/blob/main/Analysis_Code/Save_and_bin_along_contours.ipynb。 本仓库提供了对应等值线L（SSH=-1.2米）的完整数据文件，对应论文手稿中的图6。该涡旋输运量数据的维度为sigma1与等值线索引（额外的两份SO_L文件额外包含时间维度）。 vh_eddy_interp文件存储了热点区域处的插值涡旋输运量，对应的密度范围为$1032.2mathrm{kg/m^3} leq sigma_1 leq 1032.5mathrm{kg/m^3}$。相关计算方法可参见https://github.com/claireyung/Topographic_Hotspots_Upwelling-Paper_Code/blob/main/Analysis_Code/Interpolation_between_contours.ipynb。 本仓库同时提供用于汇总热点区域与环极总输运量的密度-海面高度空间分布的文件，相关计算细节可参见https://github.com/claireyung/Topographic_Hotspots_Upwelling-Paper_Code/blob/main/Analysis_Code/UpwellingArmDefn.ipynb。文件的准确命名与规格说明详见README文件。 本仓库提供了南大洋纬度带范围内的10年平均能量转换项与能量收支项文件。此类文件的生成步骤为：先将逐日输运量与层厚度分箱至南大洋区域的sigma1密度箱中（代码详见https://github.com/claireyung/Topographic_Hotspots_Upwelling-Paper_Code/blob/main/Analysis_Code/Binning_SouthernOcean_code.ipynb），随后计算能量收支项（相关代码可参见https://github.com/claireyung/Topographic_Hotspots_Upwelling-Paper_Code/blob/main/Analysis_Code/Save_MKE_EKE.ipynb与https://github.com/claireyung/Topographic_Hotspots_Upwelling-Paper_Code/blob/main/Analysis_Code/Save_Energy_Conversion_Terms.ipynb）。 命名为contour_energies的文件存储了10年平均的涡动动能（Eddy Kinetic Energy, EKE）、形状应力与雷诺应力，数据沿与涡旋输运量相同的等值线提取，相关代码可参见https://github.com/claireyung/Topographic_Hotspots_Upwelling-Paper_Code/blob/main/Analysis_Code/save_energy_terms_along_contours.ipynb。 本仓库同时提供10年平均的密度分箱输运量、层厚度与密度数据。更多详细信息请参阅README文件。