Dataset of "Gravity Wave Activity in the Atmosphere of Mars During the 2018 Global Dust Storm: Simulations With a High-Resolution Model" (1/2)

This dataset contains the GrADS data of high-resolution Mars GCM results used for figures in the paper "Gravity Wave Activity in the Atmosphere of Mars During the 2018 Global Dust Storm: Simulations With a High-Resolution Model" by T. Kuroda, A.S. Medvedev and E. Yiğit. Each file with the name starting 'data' contains two-dimensional (X: longitude, Y: latitude) data of surface pressure (Ps) (unit: hPa) and dust opacity in infrared wavelength (tau), and three-dimensional (X: longitude, Y: latitude, Z:sigma-level) data of temperature (T) (unit: K), zonal wind velocity (u) (unit: m/s), meridional wind velocity (v) (unit: m/s) and vertical wind velocity (w) (unit: m/s), in snapshots of every 1/6 Sol for the periods of 30 degrees in Ls per a file as described below. The dust scenario implemented for producing this dataset is taken from Montabone et al. (2020), which is based on the observed dust opacity in Mars Year 24 (MY34). data180rdc-my34.tar.xz: for Ls=180-210 (49 Sols) data210rdc-my34.tar.xz: for Ls=210-240 (47 Sols) data240rdc-my34.tar.xz: for Ls=240-270 (46 Sols) The .tar.xz files can be extracted in Linux with 'tar Jxvf' command, and .grd and .ctl files with the same stem are generated. The file 'flux61ls5-my34.tar.xz' contains the three-dimensional fluxes and physical parameters calculated from the model output with the MY34 dust scenario. The contents are (T')^2, (u')^2, (v')^2, u'v', u'w', v'w' T(bar), u(bar), v(bar), squared Brunt-Vaisala frequency, and geopotential height. (bar) denotes the sum of the total wavenumber s=0-60 components, and the dash denotes the deviation from (bar), i.e. sum of the total wavenumber s=61-106 components. There are 36 time grids between Ls=182.5 and Ls=357.5 with the step of Ls=5 degrees. Kinetic and potential energies can be derived from these values using the formulae in the paper. The file 'flux61ls5-lowdust.tar.xz' is the same as 'flux61ls5-my34.tar.xz', except the model output with the 'low-dust' scenario (Kuroda et al., 2019; Kuroda, 2019a, 2019b). The file 'scripts.zip' contains the FORTRAN scripts to derive the fluxes and physical parameters equivalent to the file 'flux61ls5-my34.tar.xz' from the model outputs in this dataset and Kuroda (2020), i.e. data180rdc-my34.tar.xz, data210rdc-my34.tar.xz, data240rdc-my34.tar.xz, data270rdc-my34.tar.xz, data300rdc-my34.tar.xz and data330rdc-my34.tar.xz. Also, the fluxes and physical parameters equivalent to the file 'flux61ls5-lowdust.tar.xz' can be derived with those scripts from the model outputs data180rdc.tar.xz, data210rdc.tar.xz, data240rdc.tar.xz, data270rdc.tar.xz, data300rdc.tar.xz and data330rdc.tar.xz which are available in Kuroda (2019a, 2019b).本数据集包含用于T. Kuroda、A.S. Medvedev与E. Yiğit所发表论文《2018年全球沙尘暴期间火星大气中的重力波活动：高分辨率模型模拟》中配图的高分辨率火星全球气候模式（Global Climate Model, GCM）结果的GrADS数据。 每个以"data"开头的文件均包含两类数据：其一为二维（X轴：经度，Y轴：纬度）的地表气压（Ps，单位：百帕（hPa））与红外波段尘埃光学厚度（τ）数据；其二为三维（X轴：经度，Y轴：纬度，Z轴：σ层）的温度（T，单位：开尔文（K））、纬向风速（u，单位：米每秒（m/s））、经向风速（v，单位：米每秒（m/s））与垂直风速（w，单位：米每秒（m/s））数据。所有数据均以每1/6火星日（Sol）为间隔的快照形式存储，且每个文件对应30度太阳经度（Ls）的时段，详情如下。 本数据集采用的沙尘情景源自Montabone等人2020年的研究，该情景基于火星第24年（MY34）的观测尘埃光学厚度构建。 data180rdc-my34.tar.xz：对应Ls=180~210时段（共49个火星日） data210rdc-my34.tar.xz：对应Ls=210~240时段（共47个火星日） data240rdc-my34.tar.xz：对应Ls=240~270时段（共46个火星日） 上述.tar.xz格式文件可在Linux系统中通过`tar Jxvf`命令解压，解压后将生成同名的.grd与.ctl文件。 文件"flux61ls5-my34.tar.xz"包含基于MY34沙尘情景的模式输出计算得到的三维通量与物理参数，具体包括：(T')²、(u')²、(v')²、u'v'、u'w'、v'w'、平均温度$ar{T}$、平均纬向风速$ar{u}$、平均经向风速$ar{v}$、布伦特-维萨拉频率平方以及位势高度。其中上划线$ar{}$表示总波数s=0~60分量的总和，撇号'表示相对于平均值的偏差，即总波数s=61~106分量的总和。该数据的时间网格覆盖Ls=182.5至Ls=357.5，共36个时间节点，步长为Ls=5度。可依据论文中的公式由上述参数推导得到动能与势能。 文件"flux61ls5-lowdust.tar.xz"与"flux61ls5-my34.tar.xz"内容一致，仅采用了"低沙尘"情景的模式输出（Kuroda等人，2019；Kuroda，2019a、2019b）。 文件"scripts.zip"包含Fortran脚本，可由本数据集与Kuroda（2020）中的模式输出（即data180rdc-my34.tar.xz、data210rdc-my34.tar.xz、data240rdc-my34.tar.xz、data270rdc-my34.tar.xz、data300rdc-my34.tar.xz与data330rdc-my34.tar.xz）推导得到与"flux61ls5-my34.tar.xz"等效的通量与物理参数；亦可通过该脚本由Kuroda（2019a、2019b）中公开的模式输出data180rdc.tar.xz、data210rdc.tar.xz、data240rdc.tar.xz、data270rdc.tar.xz、data300rdc.tar.xz与data330rdc.tar.xz，推导得到与"flux61ls5-lowdust.tar.xz"等效的通量与物理参数。