Hello Sir/Mam,
I am running WRF with the Noah LSM using the modified 21-category IGBP-MODIS land use (urban = category 13), with all urban canopy models turned OFF. My objective is a pre-urban (urban-to-cropland) sensitivity experiment to quantify UHI impacts over Indian Cities.
From previous discussions, I understand that changing LU_INDEX alone is not sufficient, since urban influence in WRF–Noah also enters through static surface fields such as LANDUSEF, Z0, ALBEDO12M, LAI12M, GREENFRAC, and FRC_URB2D, as well as through land-use lookup tables.
I would appreciate guidance on best practice for this setup:
I am running WRF with the Noah LSM using the modified 21-category IGBP-MODIS land use (urban = category 13), with all urban canopy models turned OFF. My objective is a pre-urban (urban-to-cropland) sensitivity experiment to quantify UHI impacts over Indian Cities.
From previous discussions, I understand that changing LU_INDEX alone is not sufficient, since urban influence in WRF–Noah also enters through static surface fields such as LANDUSEF, Z0, ALBEDO12M, LAI12M, GREENFRAC, and FRC_URB2D, as well as through land-use lookup tables.
I would appreciate guidance on best practice for this setup:
- Is it sufficient to modify the geogrid output (geo_em*.nc) by replacing all urban (13) pixels with cropland values for LU_INDEX, LANDUSEF, roughness, albedo, LAI, and setting FRC_URB2D = 0 etc..., followed by a full rerun of real.exe?
- When using Noah without UCM, are changes to tables such as VEGPARM.TBL or LANDUSE.TBL recommended, or should default cropland parameters be used?
- Are there known pitfalls related to soil or surface initialization when converting urban to non-urban land cover in this configuration?
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