Hello everyone,
For a grid point (regional) simulation I am thinking of using PMIP4 datasets because my objective is to do a 1000y (say from year 1000 to 2000) simulation for a regional grid point simulation to see what would happen to the subsurface conditions for that period (and then validate it with some available observational recent data).
I read the tutorial on grid point simulation (https://www2.cgd.ucar.edu/events/2019/ctsm/files/practical4-wieder.pdf) and it is saying that to generate domain and surface dataset singlept script it also will pull DATM forcing for your grid cell. AND There are FIVE modes used with CLM that specify the type of Meteorological data that’s used, which CLMGSWP3 and CLMCRUNCEP are only for the last century (1900 to 2000s).
Do you think it is doable to modify the DATM forcing as those available DATMs do not cover the rest of 1000y forcing data for my objective?
What would be the steps or guidelines if this is doable?
Thanks,
P.S. correct me if I am wrong
For a grid point (regional) simulation I am thinking of using PMIP4 datasets because my objective is to do a 1000y (say from year 1000 to 2000) simulation for a regional grid point simulation to see what would happen to the subsurface conditions for that period (and then validate it with some available observational recent data).
I read the tutorial on grid point simulation (https://www2.cgd.ucar.edu/events/2019/ctsm/files/practical4-wieder.pdf) and it is saying that to generate domain and surface dataset singlept script it also will pull DATM forcing for your grid cell. AND There are FIVE modes used with CLM that specify the type of Meteorological data that’s used, which CLMGSWP3 and CLMCRUNCEP are only for the last century (1900 to 2000s).
Do you think it is doable to modify the DATM forcing as those available DATMs do not cover the rest of 1000y forcing data for my objective?
What would be the steps or guidelines if this is doable?
Thanks,
P.S. correct me if I am wrong