Hi all,
When I conducted a control run and an experiment run in a land-only component set, the only change was urban parameters.
However, rural outputs like TSA_R and TG_R are different in the two runs. For example, the global-mean TG_R is similar in two runs, but in some grids, the difference of TG_R between two runs reaches 2 °C.
I am not sure if the changes in rural variables should be attributed to model internal variability or urban-induced. This also influenced when I assessed changes in UHI as I could not distinguish whether the UHI changes come from urban factors or not. I could survive using global-mean value ignoring some abnormal grids.
Thanks for any comments.
Best,
Yuan
When I conducted a control run and an experiment run in a land-only component set, the only change was urban parameters.
However, rural outputs like TSA_R and TG_R are different in the two runs. For example, the global-mean TG_R is similar in two runs, but in some grids, the difference of TG_R between two runs reaches 2 °C.
I am not sure if the changes in rural variables should be attributed to model internal variability or urban-induced. This also influenced when I assessed changes in UHI as I could not distinguish whether the UHI changes come from urban factors or not. I could survive using global-mean value ignoring some abnormal grids.
Thanks for any comments.
Best,
Yuan