Global Land Surface Atmospheric Variables: Geographic Bounding box, daily aggregation/summary statistics, allowing multiple years to be downloaded

Hello Support Team,

I have recently started exploring the Global Land Surface Atmospheric Variables for extracting the historical time series of station recorded temperature. Having used the NOAA/NCEI Global Historical Climatological Network Daily (GHCN-D) data portal earlier, which is great, but not very user friendly, this is a good dataset to include in the CDS. A big thanks to the developers involved in providing this dataset. I have a few questions that I hope can be clarified:

(i) Geographic domain: The documentation on the support page suggests that subsetting the geographic domain using the bounding box is possible, though I couldn’t find this option on the dataset download page.

  • The sixth box has options for geographical area selection (by default, no geographical restriction is applied, data found for the entire globe will be returned unless otherwise specified).

I was wondering if it would be possible to allow subsetting of the geographic region using the N-E-S-W bounding box coordinates as currently available in other ERA5 products for instance?

(ii) Selection for multiple years: While it is possible to modify the API script to include multiple years, the user interface submission form only allows one year to be selected (i.e., instead of a check box, you have the button that allows only one year to be selected -this is a common feature in other data products as well). It would be nice to allow the users to make a multi-year data request (within the data limit size) on the form itself.

(iii) Daily time aggregation: What does the ‘daily’ here represent (min, mean or max of the selected data variable)? It would be nice to include the option for choosing the daily summary statistics (min, mean and max), which is currently available when requesting ERA5 variables for instance. While the daily summaries of the downloaded global land surface variables can be computed using the sub-daily data, it would be nice to have this feature.

Many thanks and regards,

Malcolm