Trying out WRF on ARM based AWS instances - ran into some unexpected behaviour.
Firstly, compilation has been completed and scenarios run successfully and compared against other compiler (GCC). All looks good when using a standard landuse dataset, e.g. USGS
The scenario that fails uses a custom landuse dataset which can be used successfully with GCC compiled WRF.
Also, worth noting that I'm using the same wrfinput netcdf files in both cases, from previously run scenarios on a different compiler. Would not have expected this to be an issue, though I may be wrong.
What is mainly confusing me is that the code in subroutine landuse_init (module_physics_init.F) is not even matching the string which has really left me scratching my head. Any ideas at all?
ARM compiled WRF
```
INPUT LandUse = "ESA_Globcover"
INPUT FILE FOR LANDUSE REACHED END OF FILE
LANDUSE IN INPUT FILE DOES NOT MATCH LUTABLE: TABLE NOT USED
```
GCC compiled WRF
```
INPUT LandUse = "ESA_Globcover"
LANDUSE TYPE = "ESA_Globcover" FOUND 23 CATEGORIES 2 SEASONS WATER CATEGORY = 21 SNOW CATEGORY = 22
Climatological albedo is used instead of table values
```
Firstly, compilation has been completed and scenarios run successfully and compared against other compiler (GCC). All looks good when using a standard landuse dataset, e.g. USGS
The scenario that fails uses a custom landuse dataset which can be used successfully with GCC compiled WRF.
Also, worth noting that I'm using the same wrfinput netcdf files in both cases, from previously run scenarios on a different compiler. Would not have expected this to be an issue, though I may be wrong.
What is mainly confusing me is that the code in subroutine landuse_init (module_physics_init.F) is not even matching the string which has really left me scratching my head. Any ideas at all?
ARM compiled WRF
```
INPUT LandUse = "ESA_Globcover"
INPUT FILE FOR LANDUSE REACHED END OF FILE
LANDUSE IN INPUT FILE DOES NOT MATCH LUTABLE: TABLE NOT USED
```
GCC compiled WRF
```
INPUT LandUse = "ESA_Globcover"
LANDUSE TYPE = "ESA_Globcover" FOUND 23 CATEGORIES 2 SEASONS WATER CATEGORY = 21 SNOW CATEGORY = 22
Climatological albedo is used instead of table values
```