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Tutorials on data assimilation (DA) and the EnKF

License: MIT License

Jupyter Notebook 48.14% Python 51.06% Shell 0.27% TeX 0.53%
bayesian-methods chaos data-assimilation enkf kalman-filtering state-estimation

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da-tutorials's Issues

'Show' cells not working

Good day, Patrick!

First off, thank you for the tutorials and for making them freely available!

When doing the tutorials on Colab I found that running the #show_answer and #show_example cells did not produce any output. But the cells ran successfully, shown by the green tick. I am not sure if I must do something more for the answer or example to show, but my limited Jupyter notebook experience tells me it should just show.

I am using Google Chrome on Linux and the same behaviour persisted when using Firefox and when using binder. I have not looked to see if this also persists beyond the first two tutorials.

topic T4 error

I am trying to learn through tutotial T4.
I find that the function :
partial_direct_Obs
seems not to be defined in any of the da_methods.
Could you help me in solving this issue?

EnKF for 2D Grid data

Hi author,
I have found these tutorial exercise good to for making understanding of EnKF and its background. In your tutorials and other references, I mostly found EnKF for multivariates but I have not found any example or guidance to perform assimilation for 2-dim grid based data e.g., weather data from satellites and weather forecast models where matric based computation is required. Do you think your example code is also application for this kind of DA? If not, can you guide me what should I consider to achieve this? Or EnKF is only applicable for vector based data manipulation?

partial_direct_Obs not defined

Hello!

Thanks for the tutorial!

In T4, there is a missing function.

# Observe 0th component only
Obs = partial_direct_Obs(M,[0])

---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
<ipython-input-3-f3df1c2a2da5> in <module>
      7 
      8 # Observe 0th component only
----> 9 Obs = partial_direct_Obs(M,[0])
     10 Obs['noise'] = 1000
     11 

NameError: name 'partial_direct_Obs' is not defined

print_averages method in T9

Hello,

I've run into an error when executing the last tutorial and wanting to call print_averages method : the exact error is

'ValueError: dictionary update sequence element #0 has length 9; 2 is required'.

Thank you in advance for helping me,

Sophie

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