UMEP-dev / SUEWS

Surface Urban Energy and Water Balance Scheme
https://suews.readthedocs.io/
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improve the computational performance of RSL #18

Closed ghost closed 5 months ago

ghost commented 3 years ago

@sunt05 commented on May 7, 2020, 8:11 PM UTC:

The computational performance of RSL is critical as near surface diagnostics are all produced by it; these diagnostics should potentially be used in iterations of each tilmestep as forcing representing the local context.

This issue was moved by sunt05 from Urban-Meteorology-Reading/SUEWS#113.

ghost commented 3 years ago

@sunt05 commented on May 7, 2020, 8:16 PM UTC:

natalieth would the analytical forms used in the ref below be useful for this?

Arnqvist, J. and Bergström, H.: Flux‐profile relation with roughness sublayer correction, Q J Roy Meteor Soc, 141(689), 1191–1197, doi:10.1002/qj.2426, 2014.

ghost commented 3 years ago

@rarygit commented on Nov 10, 2020, 6:53 PM UTC:

I found Xuelong Chen's recent study on roughness sublayer length to be quite illuminating and comprehensive. He presents a methodical approach in deriving the model parameterisation.

Chen, X., Massman, W. J., & Su, Z. (2019). A column canopy‐air turbulent diffusion method for different canopy structures. Journal of Geophysical Research: Atmospheres, 124, 488–506. https://doi.org/10.1029/2018JD028883

You have probably already seen Giometto's study and associated simulations (videos). "Spatial Characteristics of Roughness Sublayer Mean Flow and Turbulence Over a Realistic Urban Surface" https://link.springer.com/article/10.1007/s10546-016-0157-6

sunt05 commented 5 months ago

This has been improved through recent updates - at least it's not a critical issue anymore.