Gridded Precip

[thwllms]

Description

Adds RasPlanHdf.gridded_precip, a method which returns RAS gridded precip data as an xarray.DataArray.

Note that this requires the rioxarray library, which is used to set the coordinate system.

Also adds a helper script in ./tests/ for generating minimal HDF5 files for testing by copying specific groups into a new or existing HDF5 file.

Python 3.12.12 (main, Dec 17 2025, 21:10:06) [Clang 21.1.4 ] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from src.rashdf import RasPlanHdf
>>> phdf = RasPlanHdf("./tests/data/ras/ElkMiddle.gridded-precip.p01.hdf")
>>> da_precip = phdf.gridded_precip()
>>> da_precip
<xarray.DataArray 'Precipitation' (time: 24, y: 160, x: 110)> Size: 2MB
array([[[0., 0., 0., ..., 0., 0., 0.],
        [0., 0., 0., ..., 0., 0., 0.],
        [0., 0., 0., ..., 0., 0., 0.],
        ...,
...
        ...,
        [0., 0., 0., ..., 0., 0., 0.],
        [0., 0., 0., ..., 0., 0., 0.],
        [0., 0., 0., ..., 0., 0., 0.]]],
      shape=(24, 160, 110), dtype=float32)
Coordinates:
  * time         (time) datetime64[ns] 192B 1996-01-14T13:00:00 ... 1996-01-1...
  * y            (y) float64 1kB 1.865e+06 1.863e+06 ... 1.549e+06 1.547e+06
  * x            (x) float64 880B 1.187e+06 1.189e+06 ... 1.403e+06 1.405e+06
    spatial_ref  int64 8B 0
Attributes:
    units:     in
    hdf_path:  Event Conditions/Meteorology/Precipitation/Values
>>> da_precip["spatial_ref"]
<xarray.DataArray 'spatial_ref' ()> Size: 8B
array(0)
Coordinates:
    spatial_ref  int64 8B 0
Attributes: (12/17)
    crs_wkt:                        PROJCS["USA_Contiguous_Albers_Equal_Area_...
    semi_major_axis:                6378137.0
    semi_minor_axis:                6356752.314140356
    inverse_flattening:             298.257222101
    reference_ellipsoid_name:       GRS 1980
    longitude_of_prime_meridian:    0.0
    ...                             ...
    standard_parallel:              (29.5, 45.5)
    latitude_of_projection_origin:  23.0
    longitude_of_central_meridian:  -96.0
    false_easting:                  0.0
    false_northing:                 0.0
    spatial_ref:                    PROJCS["USA_Contiguous_Albers_Equal_Area_...
>>> # write precip data to GeoTIFF
>>> da_precip.rio.to_raster("./elk-middle-precip.tif")

[github-actions]

🔍 SonarQube Analysis Results

Summary:

• 🐛 Bugs: 1
• 🔒 Vulnerabilities: 0
• 🧹 Code Smells: 0
• 📊 Total Issues: 1

📋 Detailed Reports Available

📥 Download Full Report - Click "Artifacts" section

The detailed report includes:

• Complete breakdown by severity and type
• Specific file locations and line numbers
• Rule descriptions and fix suggestions
• CSV format for spreadsheet analysis
• Raw JSON data for custom processing

💡 Review the workflow summary for metrics and download the artifact for complete details.

[github-actions]

🔍 SonarQube Analysis Results

Summary:

• 🐛 Bugs: 1
• 🔒 Vulnerabilities: 0
• 🧹 Code Smells: 0
• 📊 Total Issues: 1

📋 Detailed Reports Available

📥 Download Full Report - Click "Artifacts" section

The detailed report includes:

• Complete breakdown by severity and type
• Specific file locations and line numbers
• Rule descriptions and fix suggestions
• CSV format for spreadsheet analysis
• Raw JSON data for custom processing

💡 Review the workflow summary for metrics and download the artifact for complete details.

[github-actions]

🔍 SonarQube Analysis Results

Summary:

• 🐛 Bugs: 1
• 🔒 Vulnerabilities: 0
• 🧹 Code Smells: 0
• 📊 Total Issues: 1

📋 Detailed Reports Available

📥 Download Full Report - Click "Artifacts" section

The detailed report includes:

• Complete breakdown by severity and type
• Specific file locations and line numbers
• Rule descriptions and fix suggestions
• CSV format for spreadsheet analysis
• Raw JSON data for custom processing

💡 Review the workflow summary for metrics and download the artifact for complete details.

[ngoXminh]

Small nit - fix the SonarQube bug warning:

[github-actions]

🔍 SonarQube Analysis Results

Summary:

• 🐛 Bugs: 1
• 🔒 Vulnerabilities: 0
• 🧹 Code Smells: 0
• 📊 Total Issues: 1

📋 Detailed Reports Available

📥 Download Full Report - Click "Artifacts" section

The detailed report includes:

• Complete breakdown by severity and type
• Specific file locations and line numbers
• Rule descriptions and fix suggestions
• CSV format for spreadsheet analysis
• Raw JSON data for custom processing

💡 Review the workflow summary for metrics and download the artifact for complete details.

[github-actions]

🔍 SonarQube Analysis Results

Summary:

• 🐛 Bugs: 1
• 🔒 Vulnerabilities: 0
• 🧹 Code Smells: 0
• 📊 Total Issues: 1

📋 Detailed Reports Available

📥 Download Full Report - Click "Artifacts" section

The detailed report includes:

• Complete breakdown by severity and type
• Specific file locations and line numbers
• Rule descriptions and fix suggestions
• CSV format for spreadsheet analysis
• Raw JSON data for custom processing

💡 Review the workflow summary for metrics and download the artifact for complete details.

[github-actions]

🔍 SonarQube Analysis Results

Summary:

• 🐛 Bugs: 1
• 🔒 Vulnerabilities: 0
• 🧹 Code Smells: 0
• 📊 Total Issues: 1

📋 Detailed Reports Available

📥 Download Full Report - Click "Artifacts" section

The detailed report includes:

• Complete breakdown by severity and type
• Specific file locations and line numbers
• Rule descriptions and fix suggestions
• CSV format for spreadsheet analysis
• Raw JSON data for custom processing

💡 Review the workflow summary for metrics and download the artifact for complete details.