Abstract

Abstract. In this paper the land surface model embedded in the PALM model system is described and evaluated against in situ measurements at Cabauw, Netherlands. A total of 2 consecutive clear-sky days are simulated, and the components of surface energy balance, potential temperature, humidity, and horizontal wind speed are compared to observations. For the simulated period, components of the energy balance are consistent with daytime and nighttime observations, and the daytime Bowen ratio also agrees fairly well with observations. The model simulates a more stably stratified nocturnal boundary layer than the observations, and near-surface potential temperature and humidity agree fairly well during the day. Moreover, a sensitivity analysis is performed to investigate dependence of the model on land surface and soil specifications, as well as atmospheric initial conditions, because they represent a major source of uncertainty in the simulation setup. It is found that an inaccurate estimation of leaf area index, albedo, or initial humidity causes a significant misrepresentation of the daytime turbulent sensible and latent heat fluxes. During the night, the boundary-layer characteristics are primarily affected by surface roughness and the applied radiation schemes.

Highlights

  • The land surface influences atmospheric dynamics significantly through the exchange of energy, mass, and momentum

  • In this paper we gave a description of the land surface model embedded into the PALM model system, which is applied to model the surface energy balance of vegetated or paved land surfaces as well as water surfaces

  • We evaluated the land surface model implementation against in situ observations of the energy balance components and near-surface wind, temperature, and humidity profiles taken at Cabauw over a quasihomogeneous flat grass site (Monna and Bosveld, 2013) for two consecutive diurnal cycles

Read more

Summary

Introduction

The land surface influences atmospheric dynamics significantly through the exchange of energy, mass, and momentum. Surface roughness as well as sensible and latent heat fluxes at the surface act as the lower boundary condition for the momentum, temperature, and humidity equations in the atmosphere, respectively. If this information is not available, it is necessary to parameterize the land surface processes with a land surface model (LSM). The input to an LSM is the type of surface, vegetation, and soil, as well as the radiative forcing. The results strongly depend on the input data (e.g., Avissar and Pielke, 1989)

Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call