Aerodynamic roughness length z(om) is an important parameter for reliably simulating surface fluxes. It varies with wind speed, atmospheric stratification, terrain, and other factors. However, it is usually considered a constant. It is known that uncertainties in z(om) result in latent heat flux (LE) simulation errors, since z(om) links LE with aerodynamic resistance. The effects of z(om) on sensible heat flux (SH) simulation are usually neglected because there is no direct link between the two. By comparing SH simulations with three types of z(om) inputs, it is found that allowing z(om) temporal variation in an SH simulation model significantly improves agreement between simulated and measured SH and also decreases the sensitivity of the S...
This paper explores which are the land-surface parameters playing a key role in three surface scheme...
The parameterization of heat transfer based on remote sensing data, and the Surface Energy Balance S...
Aerodynamic roughness length (z(0m)) is a key factor in surface flux estimations with remote sensing...
Aerodynamic roughness length (z(om)) is an important parameter for reliably simulating surface fluxe...
Aerodynamic roughness height (Zom) is a key parameter required in several land surface hydrological ...
Aerodynamic roughness length (z(0)) is one of the main parameters for describing aerodynamic charact...
The aerodynamic roughness length (z0m) is a crucial parameter for reliably simulating turbulent exch...
We propose a long-term parameterization scheme for two critical parameters, zero-plane displacement ...
Current land surface models still have difficulties with producing reliable surface heat fluxes and ...
Roughness length and zero-plane displacement over three typical surfaces were calculated iteratively...
An accurate simulation of the sensible heat flux (H) over vegetation from thermal remote sensing req...
Parameterizations of aerodynamic resistance to heat and water transfer have a significant impact on ...
<p>The parameterization of heat transfer based on remote sensing data, and the Surface Energy Balanc...
The fluxes of sensible heat (H) and latent heat (LE), which are generally the important parts of the...
The aerodynamic roughness length Z0, the zero-plane displacement d, the momentum drag coefficient CD...
This paper explores which are the land-surface parameters playing a key role in three surface scheme...
The parameterization of heat transfer based on remote sensing data, and the Surface Energy Balance S...
Aerodynamic roughness length (z(0m)) is a key factor in surface flux estimations with remote sensing...
Aerodynamic roughness length (z(om)) is an important parameter for reliably simulating surface fluxe...
Aerodynamic roughness height (Zom) is a key parameter required in several land surface hydrological ...
Aerodynamic roughness length (z(0)) is one of the main parameters for describing aerodynamic charact...
The aerodynamic roughness length (z0m) is a crucial parameter for reliably simulating turbulent exch...
We propose a long-term parameterization scheme for two critical parameters, zero-plane displacement ...
Current land surface models still have difficulties with producing reliable surface heat fluxes and ...
Roughness length and zero-plane displacement over three typical surfaces were calculated iteratively...
An accurate simulation of the sensible heat flux (H) over vegetation from thermal remote sensing req...
Parameterizations of aerodynamic resistance to heat and water transfer have a significant impact on ...
<p>The parameterization of heat transfer based on remote sensing data, and the Surface Energy Balanc...
The fluxes of sensible heat (H) and latent heat (LE), which are generally the important parts of the...
The aerodynamic roughness length Z0, the zero-plane displacement d, the momentum drag coefficient CD...
This paper explores which are the land-surface parameters playing a key role in three surface scheme...
The parameterization of heat transfer based on remote sensing data, and the Surface Energy Balance S...
Aerodynamic roughness length (z(0m)) is a key factor in surface flux estimations with remote sensing...