Xin Zhang

Submitted the [issue](https://github.com/pydata/xarray/issues/6085#issue-1083806365) on xarray.

The [FY4B document](http://img.nsmc.org.cn/PORTAL/NSMC/DATASERVICE/AuxiliaryData/FY4B/FY-4B%e6%a0%87%e7%a7%b0%e4%b8%8a%e8%a1%8c%e5%88%97%e5%8f%b7%e5%92%8c%e7%bb%8f%e7%ba%ac%e5%ba%a6%e7%9a%84%e4%ba%92%e7%9b%b8%e8%bd%ac%e6%8d%a2-133E.pdf) is available online now. The 250m COFF, CFAC, LOFF, and LFC need to be updated.

I have improved the test part. For the cf_writer, the high complexity seems OK?

@deeplycloudy Thanks for the notification, Eric! Nice to see the support of different methods of calculating tropopause. Hope it will be merged soon.

这个可能会侵权。。。

哈哈，可以联系一下网易云，说不定可以合作一下。我看他们现在视频上传的工具更新了，歌词这方面还挺欠缺的。

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恩，的确是一个问题。对于免费资源倒是好说，就是付费资源比较尴尬。

@JiaweiZhuang I tried the method as illustrated by @mickaellalande : ``` def add_matrix_NaNs(regridder): '''Deal with wrong boundary''' X = regridder.weights M = scipy.sparse.csr_matrix(X) num_nonzeros = np.diff(M.indptr) M[num_nonzeros == 0, 0]...

@miniufo I met a [similar problem](https://github.com/pydata/xarray/issues/3931) with `xarray`. You can try `xr.apply_ufunc()`. But, that's not conservative. Maybe, @JiaweiZhuang has a better solution.