stilt.observations.select_observations_spatial

stilt.observations.select_observations_spatial(longitudes, latitudes, *, site_longitude, site_latitude, near_field_dlon, near_field_dlat, near_field_cols, near_field_rows, background_cols, background_rows, domain_lon_range, domain_lat_range)

Select soundings on a near-field plus background grid.

Ports X-STILT’s sel.obs4recpv2: lay a dense grid of near_field_cols × near_field_rows points over site ± near_field_dlon/dlat and a sparse grid of background_cols × background_rows points over the full domain, and keep the sounding nearest (great-circle) to each grid point. Dense coverage near the site is where the footprints matter most; the background soundings support a concentration-difference analysis.

Returns the positional indices of the selected soundings, each once, in ascending latitude. Use them as df.iloc[selected].

Return type:

ndarray

Parameters:

• longitudes (_Buffer | _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | bool | int | float | complex | str | bytes | _NestedSequence[bool | int | float | complex | str | bytes])

• latitudes (_Buffer | _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | bool | int | float | complex | str | bytes | _NestedSequence[bool | int | float | complex | str | bytes])

• site_longitude (float)

• site_latitude (float)

• near_field_dlon (float)

• near_field_dlat (float)

• near_field_cols (int)

• near_field_rows (int)

• background_cols (int)

• background_rows (int)

• domain_lon_range (tuple[float, float])

• domain_lat_range (tuple[float, float])