Shemat-Suite Output Directories For Wrr Manuscript 2018Wr023374

The directories in the compressed archives contain the raw data used in the Water Resources Research publication: Comparing seven variants of the Ensemble Kalman Filter: How many<br> synthetic experiments are needed? The article can be found under https://doi.org/10.1029/2018WR023374 <br> <strong>Extracting the data</strong><br> At first, extract the directory of the figure: <pre><code class="language-bash"> tar -xzvf figure_1.tar.gz</code></pre> Move the compressed archives to a directory of the form: 1) Tracer: <pre><code class="language-bash"> $HOME/shematOutputDir/wavereal_output/</code></pre> 2) Well: <pre><code class="language-bash"> $HOME/shematOutputDir/wavewell_output/</code></pre> <br> Then run a command of the following form <pre><code class="language-bash"> tar -xzvf 2010_01_30.tar.gz</code></pre> or, to suppress output and return to the command line immediately <pre><code class="language-bash"> tar -xzf 2010_01_30.tar.gz &amp;</code></pre> Now the output files of 2010_01_30.tar.gz are readable for the Python<br> Scripts. <br> <strong>Python Scripts</strong><br> The Python Scripts for generation of the figures in the manuscripts can be found in the Github repository: <pre><code> pyshemkf</code></pre> under https://doi.org/10.5281/zenodo.1344336 or for the up-to-date version of pyshemkf: https://github.com/jjokella/pyshemkf Documentation of and links to the scripts can be found under: https://github.com/jjokella/pyshemkf#manuscript-scripts本压缩归档内的目录包含发表于《Water Resources Research》（水资源研究）期刊的论文所用原始数据，论文题为《对比集合卡尔曼滤波（Ensemble Kalman Filter）的七种变体：需要多少组合成实验？》。 该论文可通过以下链接获取：https://doi.org/10.1029/2018WR023374 <strong>数据提取</strong> 首先提取图数据目录： <pre><code class="language-bash"> tar -xzvf figure_1.tar.gz</code></pre> 将压缩归档移动至对应格式的目录： 1) 示踪剂（Tracer）： <pre><code class="language-bash"> $HOME/shematOutputDir/wavereal_output/</code></pre> 2) 井位（Well）： <pre><code class="language-bash"> $HOME/shematOutputDir/wavewell_output/</code></pre> <br> 随后执行如下格式的解压命令： <pre><code class="language-bash"> tar -xzvf 2010_01_30.tar.gz</code></pre> 或，若需静默输出并立即返回命令行，可执行： <pre><code class="language-bash"> tar -xzf 2010_01_30.tar.gz &</code></pre> 此时`2010_01_30.tar.gz`解压得到的输出文件即可被Python脚本读取。 <br> <strong>Python脚本</strong> 本论文配图生成所用的Python脚本可于GitHub仓库`pyshemkf`中获取，对应DOI链接为： https://doi.org/10.5281/zenodo.1344336 若需获取`pyshemkf`的最新版本，可访问： https://github.com/jjokella/pyshemkf 脚本的文档及相关链接可查阅： https://github.com/jjokella/pyshemkf#manuscript-scripts