In current primap-hist output, we drop all-zero time series (such as F-Gas emissions in categories other than 2). For some users, it would be easier to work with the data if the all-zero time series were included explicitly. The inconsistency is more visible in the native primap2 format based on xarray, which contains the full data set, and these missing time series are NaN instead of the expected 0.
However, the all-zero time series do not offer much more information, so we would produce some not-really-useful information, especially in the interchange format CSV files. For example, F-Gas emissions in category 1 are zero by definition, so including this information in the dataset by explicitly providing full all-zero timeseries is a pretty inefficient way of communicating this fact. We would have to check if the trade-off is worth it or if there are other methods to do this.
In current primap-hist output, we drop all-zero time series (such as F-Gas emissions in categories other than
2). For some users, it would be easier to work with the data if the all-zero time series were included explicitly. The inconsistency is more visible in the native primap2 format based on xarray, which contains the full data set, and these missing time series areNaNinstead of the expected0.However, the all-zero time series do not offer much more information, so we would produce some not-really-useful information, especially in the interchange format CSV files. For example, F-Gas emissions in category
1are zero by definition, so including this information in the dataset by explicitly providing full all-zero timeseries is a pretty inefficient way of communicating this fact. We would have to check if the trade-off is worth it or if there are other methods to do this.