Hi everyone!
I want to work with CHELSA monthly time series (v 2.1).
After downloading all layers for a bunch of years' mean temperature and total precipitation I have noticed that precipitation values are significantly higher than what I would expect. Following the Technical Info I have divided the precipitation values by 100 to get kg per square meter but still, the values are very high and very different to any other model.
I do not know what I am doing wrong. Please help!
Dear Sara,
According the metadata in the netCDF files, the units are mm:
float prec(time, lat, lon) ;
prec:long_name = "CHELSA Monthly Precipitation Sum" ;
prec:units = "mm" ;
prec:_FillValue = 9.96921e+36f ;
prec:missing_value = 9.96921e+36f
(as part og the output of ncdump -h)
According my (very small indeed) experience with this dataset, there is something strange - the missing value is 65535. (The listing above is after my explicit change).
Regards: Hristo
Hi there,
In case you are still here. I'm currently working with Paleo-data sourced from Worldclim 1.4 https://www.worldclim.org/data/v1.4/paleo1.4.html (MIROC-ESM). While my model is quite promising for current and future scenarios, I'm encountering unusual cells in the historical data, particularly in BIO9, BIO14, and BIO15 for LIG, LGM, and mid-Holocene. These anomalies are affecting the overall projection of MID, LGM, and LIG.
Attached, you'll find an example illustrating the problematic layers. I would greatly appreciate any insights or potential solutions you might have regarding this issue.
Thank you for your time and assistance.
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