PUP MESO and TVS product #94
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总体来说没啥问题，但是这个diff好奇怪，怎么把每一行都算作改动了。这样的话浏览真正的改动就有点麻烦，我看看能不能调 |
CyanideCN
reviewed
Aug 23, 2023
cinrad/io/level3.py
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| meso_count = np.frombuffer(self.f.read(4), "i4")[0] | ||
| feature_count = np.frombuffer(self.f.read(4), "i4")[0] | ||
| meso_table = np.frombuffer(self.f.read(meso_count* 68), L3_meso) | ||
| feature_table = np.frombuffer(self.f.read(feature_count* 72), L3_feature) |
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storm_count和feature_table都没用上，导出的Dataset里要加上吗
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改的时候就别再用github的网页端上传整个文件了，不然diff又是一团糟 |
改成了循环，还是保留了DataArray，去掉的话因为后面lon和lat的关系似乎会影响输出结构
好嘞，刚开始用github刚学python，都是照抄你的写的>< |
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感觉没啥问题了，merge啦 |
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在cinrad.io.level3.StandardPUP中，参考读取冰雹hail的代码，添加了读取PUP的中气旋MESO以及龙卷涡旋特征TVS的部分。
尝试读MESO和TVS的结果print如下：