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May perhaps 27, 2021 #10 I'm acquiring the same dilemma as you, Tristan, With all the blocky SST together the coast. I am also working with ERA5 from Copernicus. Initial, I obtain it intriguing that while in the typical METGRID.TBL file (for ARW), there are several fields that get masked, and so they all seem sensible dependant on whether they're described more than land or drinking water. But, SKINTEMP is unique in that it does both maskings. This might imply that its values are considered physically meaningful, and therefore are utilised, more than the two land and h2o and so either side on the coastline require treatment. To be trustworthy, I've by no means been really positive what SKINTEMP is even useful for, as It appears redundant with SST in excess of h2o and top rated layer soil temperature in excess of land. It's apparent that it's not being substituted for SST in my case, because then I would not be owning the coastline difficulty. However, it is actually interesting that SST, though viewing like an evident applicant for land masking, is not really MASKED in the conventional METGRID.TBL. I think The explanation for This can be (even though haven't verified) that until now, all gridded knowledge sources that WRF has utilised (GFS, ECMWF, different reanalyses) have integrated some kind of physically affordable loaded-in values of SST more than land, so there was no powerful reason to mask it.

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Then arrived alongside ERA5, and it evidently has missing values around land that METGRID appears to be interpretting as physically authentic, so where by ERA5 says "land" and WRF says "water", you will get wacky benefits. And It is really even feasible this point out of affairs is unique to Copernicus-downloaded ERA5 data rather than NCAR-downloaded ERA5 details, which Maybe points out why only Copernicus ERA5 knowledge is resulting in this more info issue. What I have accomplished is actually utilize precisely the same masking to SST as is completed for SKINTEMP in METGRID.TBL. This provides very good SST in any way great-scale offshore points. It does whacky items in excess of land but I do not are convinced matters. In any case, the simulations glance affordable. Could have also just accomplished land masking, which might have developed the same result around drinking water. I'm curious if what I'm guessing is accurate, about former SST grids always possessing bodily plausible crammed in land values, together with ERA5 from NCAR. If that is not the case, I don't get why METGRID.TBL has, For several WRF variations within a row now, NOT performed masking over the SST industry, as it looks as if it could bring about issues with no masking. Regretably I haven't got time to research in the mean time. PS Assumed just happened, may additionally certainly be a make a difference of regardless of whether lacking values are used in the resource data, and whether Individuals are properly recognized by metgrid.

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