MrIgnition
Member
Dear all,
I intend to use my own atmospheric forcing (ERA5BC global) which has data only over land instead of GSWP and CruNCEP with clm5 over a domain that has both land and ocean. I have prepared the data and matched variable names in the stream.txt files to fit datm. But I percieve that CLM is reading data from the masked area which has values of 1.e+20 making model run to fail. I know certainly that the error is from my dataset (ERA5BC) but I have reasons to believe that its because of the masked values. What can I be advised to do in this regard.
Attached are images of LWdown for GSWP, ERA5BC (to show the masked area), netcdf summary to show value of missing data and clm log file showing cause of error.
I intend to use my own atmospheric forcing (ERA5BC global) which has data only over land instead of GSWP and CruNCEP with clm5 over a domain that has both land and ocean. I have prepared the data and matched variable names in the stream.txt files to fit datm. But I percieve that CLM is reading data from the masked area which has values of 1.e+20 making model run to fail. I know certainly that the error is from my dataset (ERA5BC) but I have reasons to believe that its because of the masked values. What can I be advised to do in this regard.
Attached are images of LWdown for GSWP, ERA5BC (to show the masked area), netcdf summary to show value of missing data and clm log file showing cause of error.