Closed robertpietzcker closed 10 months ago
The problem is that we have fixed calculations like
x[, , "Emi|CO2 (Mt CO2/yr)"] <-
x[, , "Emi|CO2|Agriculture (Mt CO2/yr)"] +
x[, , "Emi|CO2|Energy (Mt CO2/yr)"] +
x[, , "Emi|CO2|Industrial Processes (Mt CO2/yr)"] +
x[, , "Emi|CO2|Land-Use Change (Mt CO2/yr)"] +
x[, , "Emi|CO2|Waste (Mt CO2/yr)"]
and currently they give the result NA if only one of the summands is NA. for USA, "Emi|CO2|Waste (Mt CO2/yr)"
is NA
@robertpietzcker Is it ok to assume 0 for missing values in order to get results anyways?
@fbenke-pik yes, I would say that is reasonable. where did you see the NAs?
when I download the data from the UNFCCC, USA also reports the overall Waste emissions (Category 5), only 5c is missing for USA and EUR, but that shouldn't matter as they report the total needed for this sum
According to the current mapping Emi|CO2|Waste
is the value in Table5 under "Total Waste", which is not a number, but NO,IE,NA
.
right, we are also looking at CO2, not only GHG.
It seems that UNFCCC emissions data for the US is missing, but present for EUR, such as:
Emi|GHG Emi|CO2 Emi|CO2|w/ Bunkers Emi|GHG|w/ Bunkers
I would have guessed that all Annex I countries need to report this data, so they should be there for the US?