Hi everyone,
I use CESM 2.1.4 and have some questions about restart files:
1. When restarting an experiment—whether it's a branch run or recovering a crashed simulation—what is the exact function of the cam.rs file and cam.i file? I understand that cam.r typically contains the initial conditions, but what additional information do cam.rs and cam.i hold?
2. I am working with an ensemble of restart files from different initial conditions. My goal is to select the restart file that represents a model state most similar to observational data for SST or surface temperature for globe. My plan is to take the observational data for a specific date (e.g., 2000-01-01) and compare it directly with the model outputs from each restart file that correspond to the same calendar date (i.e., the state representing 2000-01-01 in each simulation). I would then calculate the pattern correlation and RMSE for variables like SST and Surface Temperature to identify the best match. I am not sure if it is a valid approach, or are there better-recommended practices? And I also want to know are there any standard metrics (excluding SST and TS) designed for this kind of "best analog" selection from restart files?
I use CESM 2.1.4 and have some questions about restart files:
1. When restarting an experiment—whether it's a branch run or recovering a crashed simulation—what is the exact function of the cam.rs file and cam.i file? I understand that cam.r typically contains the initial conditions, but what additional information do cam.rs and cam.i hold?
2. I am working with an ensemble of restart files from different initial conditions. My goal is to select the restart file that represents a model state most similar to observational data for SST or surface temperature for globe. My plan is to take the observational data for a specific date (e.g., 2000-01-01) and compare it directly with the model outputs from each restart file that correspond to the same calendar date (i.e., the state representing 2000-01-01 in each simulation). I would then calculate the pattern correlation and RMSE for variables like SST and Surface Temperature to identify the best match. I am not sure if it is a valid approach, or are there better-recommended practices? And I also want to know are there any standard metrics (excluding SST and TS) designed for this kind of "best analog" selection from restart files?