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[FEATURE] - Implement OBS package

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#1,927 0 comentarios 0 reacciones 0 asignados Ver en GitHub

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Evaluación

Dificultad
4/5
Tiempo estimado
3-5 días
Aptitud para principiantes
35/100
Tipo de issue
Nueva funcionalidad
Claridad
Bastante claro
Estado de actividad
Estancado
Stack tecnológico
python
Área
data-engineering

Línea de trabajo

Start by reviewing the working prototype in PR #1907, which the issue identifies as the proposed OBS-package solution. Check whether it supports selecting output by layer and assess its performance; done means the prototype can reduce stored output for the described use case, with performance limitations made clear.

Escrito por el modelo de indexación a partir del texto del issue.

Descripción

Deltares enhancement

Is your feature request related to a problem? Please describe.
The NHI and the LHM are both running into the problem that the output generated by their big models becomes quickly too big. iMODFLOW had an option to store only the output of selected layers, so for example results of only the phreatic system could be stored. MODFLOW6 doesn't have an option like this, a memo has been written about this by @mjr-deltares . @Huite came up with a solution not included in the memo: To use the OBS package. That doesn't allow selecting in time (which was why it was not considered for the memo), but selection by layers should be sufficient for these users. This would be the low-hanging fruit option, requiring no changes to MODFLOW6.

Bennie and Rianne are going to develop a huge training dataset this year for which some solution to reduce output would be very welcome, if not critical.

Describe the solution you'd like
Working prototype made by @Huite in this PR: https://github.com/Deltares/imod-python/pull/1907
Whether this provides the performance we hoped for has not been tested, though I'm not sure if that will be ever done as long as this stays in a draft PR.

Describe alternatives you've considered
The memo describes many alternatives. Most of them aren't that attractive, but better working towards better NetCDF support in MODFLOW6. I think that is a worthwhile, no-regret option, but it might take too much time to develop this for this year.

Additional context
Add any other context or screenshots about the feature request here.

Lenguaje dominante
Python
Estrellas
41
Forks
11
Merge medio
2 d 20 h
PR fusionados (30 d)
8

Preparar el entorno

  • Sin Dockerfile ni archivo de Docker Compose
  • Tiene una plantilla de pull request
  • Sin guía de contribución

Primeros pasos

  1. Lee el issue completo y luego la guía de contribución del proyecto.
  2. Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
  3. Haz un fork del repositorio y trabaja en una rama.
  4. Abre un pull request que haga referencia al número del issue.

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