The error “Source shape (1, 1038240) is inconsistent with given indexes 1” usually occurs when trying to write data using a library like rasterio, and the shape of the data doesn’t match the expected dimensions for the GeoTIFF file being created. This problem arises because .grib data is often stored in a one-dimensional array (flattened), but GeoTIFF expects a two-dimensional array for raster data.
Here’s how to handle it:
Ensure the data is in the correct 2D format. For .grib files, you can reshape the data based on the grid geometry.
data = field.values # This is a flattened 1D array
latitudes, longitudes = field.geometry().get_latlons()
# Reshape the data to match the 2D grid
data = data.reshape(latitudes.shape) # Ensure this matches the grid dimensions
The reshaping process assumes the dimensions of latitudes and longitudes match the intended grid. Check their shapes:
print(f"Data shape: {data.shape}")
print(f"Latitudes shape: {latitudes.shape}")
print(f"Longitudes shape: {longitudes.shape}")
If the shapes of latitudes and longitudes are correct, the reshaped data will be ready for GeoTIFF writing.
Once reshaped, write the data as GeoTIFF:
from rasterio.transform import from_origin
# Define the transform (geospatial metadata)
longitudes.min(), latitudes.max(), # Top-left corner coordinates
abs(longitudes[0, 1] - longitudes[0, 0]), # Pixel width
abs(latitudes[1, 0] - latitudes[0, 0]) # Pixel height
# Write the data to GeoTIFF
crs="EPSG:4326", # WGS84 CRS
If the shapes of latitudes, longitudes, and the reshaped data are inconsistent, ensure that:
- The
.grib file actually contains grid data (e.g., not spectral coefficients).
- The metadata or geometry is correctly read.
For non-standard .grib files, consider checking the data directly:
# Inspect the raw shape of the data
# Inspect geometry metadata
By ensuring that the data is properly reshaped to 2D, the error will be resolved, and you can successfully write it to GeoTIFF.