Opened 8 years ago
Closed 7 years ago
#890 closed support (fixed)
A better description of DAr aggregation
Reported by: | matteo.defelice@… | Owned by: | |
---|---|---|---|
Priority: | major | Milestone: | |
Component: | UserDataGateway | Keywords: | aggregation |
Cc: |
Description
In the wiki DAr is described as: "accumulated since the initialization time –runtime" and for this reason I expected to find a monotone time-series starting at the Initialization date but instead I've found something like a daily accumulated field. Example:
data_prec = loadECOMS(dataset = "System4_seasonal_15", var = 'tp', members = 1:15,
lonLim = 10, latLim = 40, season = 6:8,
years = 2010, leadMonth = 1)
data_prec$Data[1:10,1]
[1] 10.62011719 15.19775391 5.12695312 0.01525879 0.00000000 0.00000000
[7] 0.03051758 0.03051758 3.57055664 8.14819336
So what's the difference between DAr and DA?
Change History (2)
comment:1 Changed 8 years ago by juaco
comment:2 Changed 7 years ago by juaco
- Resolution set to fixed
- Status changed from new to closed
Dear Mateo,
Please note that you are asking for the standard variable "tp", which is defined as a 24-h accumulated value (mm) in the vocabulary. The variable is accumulated since the initialization time in the original model database, but the R interface is transforming the original variable to the standard one.
I have introduced changes in the wiki page describing the variables to better clarify this point.
Hope this helps
Joaquín