Huite

Hi @gatkin, This looks like a great package, providing a much saner way to interact with XML data; the documentation is complete and clear as well. ### Primitive processors Being...

Here are a number of datasets that would be useful to have available via HydroEngine. (Especially GLHYMPS2.0 is awfully unwieldy, as a 3.6 GB shapefile!) I've provided an overview with...

Alternatives to SRTM DEM

1

I was testing generating an iMOD model, and I got some very low values of around -200 m for the SRTM DEM. There's probably many filtered DEMs available, which one...

Both the WFLOW and iMOD model generator need a land-sea definition to draw model boundaries. @visr and I download [Natural Earth](https://www.naturalearthdata.com/) right now, but it would be very useful to...

**What** If subgrid levels fall below MODFLOW elevations, the imod_coupler will not set the stage below the bed elevation. This makes it hard to analyze afterwards what the actual used...

Add runoff to Basin

2

The current Basin definition: ``` struct Basin{T, C}

**What** See: https://deltares.github.io/iMOD-Documentation/coupler_ribamod_preprocessing.html#consistency-between-modflow-6-and-ribasim-subgrid **Why** See: https://deltares.github.io/iMOD-Documentation/coupler_ribamod_preprocessing.html#consistency-between-modflow-6-and-ribasim-subgrid **How** ```python if minimum_subgrid_level_per_element > modflow_bed_level: raise ValueError ```

imod timeseries plugin shows edge_id as float

2

The flow.arrow contains flow on the basins, with the edge_id as NaN for non-edge flows. The imod plugin does a groupby operation with the edge_id. During reading, the NaNs mean...

Transient forcing: forward fill versus interpolation and principle of least surprise

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I was expecting forward fill on my user_demand, but I got linear interpolated values:   I guess there are reasons for this, but it's not quite Principle of Least...

Performance and add-API: "Vectorized" form?

2

Maybe somewhat of a random thought. The add-api looks very good to me, and will help enormously in setting up models. One downside is that it calls `pd.concat()` once per...