Unexpected coordinates - CAMS global forecast from CDS with restricted area

I used the CDS app web interface to fetch CAMS global forecast data, but the data I got was on a grid which didn't match what I expected.

It seems that the new data I got from CDS was for some reason shifted so that the bottom left corner exactly matches the bottom left corner of the area I requested.

I have another dataset of CAMS global forecast data for about the same area, and the datasets are not aligned. The two datasets I have don't contain the same parameters so I don't know if the parameters' values were interpolated to a new grid or left as-is.

My question:

What is the expected behavior of the CDS app when requesting for a specific area? should I specifically align the area I ask for with the CAMS global grid?

Thank you

Below is some more information to explain the issue.

My CDS form was translated into the following API request:

c.retrieve(
    'cams-global-atmospheric-composition-forecasts',
    {
        'date': '2021-07-08/2021-07-12',
        'type': 'forecast',
        'format': 'netcdf_zip',
        'variable': [
            'organic_matter_aerosol_optical_depth_550nm', 'sulphate_aerosol_optical_depth_550nm',
        ],
        'time': [
            '00:00', '12:00',
        ],
        'leadtime_hour': [
            '0', '1', '10',
            '11', '12', '13',
            '14', '15', '16',
            '17', '18', '19',
            '2', '20', '21',
            '22', '23', '24',
            '25', '26', '27',
            '28', '29', '3',
            '30', '4', '5',
            '6', '7', '8',
            '9',
        ],
        'area': [
            41.97, -121.51, 38.53,
            -115.53,
        ],
    },
    'download.netcdf_zip')

A sample of the resulting coordinates:

     latitude  longitude
0       41.73    -121.51
1       41.33    -121.51
2       40.93    -121.51
3       40.53    -121.51
4       40.13    -121.51
..        ...        ...
130     40.13    -115.91
131     39.73    -115.91
132     39.33    -115.91
133     38.93    -115.91
134     38.53    -115.91

And this is how it looks on a plot (x=lon, y=lat), comparing the data I had before ("existing data") and the new one I got from CDS ("downloaded from CDS"):