Representing land surface heterogeneity with the tiling method: merits and limitations in presence of large contrast

Title
Representing land surface heterogeneity with the tiling method: merits and limitations in presence of large contrast
Technical memorandum
Date Published
07/2012
Secondary Title
ECMWF Technical Memoranda
Number
683
Author
Manrique Suñén
A. Nordbo
Anton Beljaars
I. Mammarella
Publisher
ECMWF
Abstract The tiling method is used in many land surface models to represent the surface heterogeneity. Each gridbox is divided into fractions of different types of land use with independent solutions of the surface energy budget. An area-weighted average of the energy fluxes is computed to couple with the atmosphere assuming the air above the surface is well blended at a given height. In the framework of validation of the tiling method, the ECMWF land surface scheme has been tested in offline mode driven by meteorological forcing provided by the ERA-Interim reanalysis. Two contrasting surfaces in the boreal region of southern Finland are considered: a Scots pine forest (Hyytiälä) and a small nearby lake (Valkea-Kotinen). The field observations are used to evaluate the land surface model simulations, for both energy fluxes and reservoirs. The model is able to characterize the main difference between the two sites, which appears in the energy partitioning, explained by the lake's large thermal inertia. In fact, while a large portion of the incoming solar radiation in the forest is released as sensible heat, the lake stores a substantial amount of energy in the water during late spring and summer and releases it in autumn. The different behaviour of the fluxes both on annual and diurnal timescales confirms the benefit of a tiling mechanism in presence of large contrast. However, it is also shown that the assumption of similar conditions at the blending height introduces errors.
URL https://www.ecmwf.int/en/elibrary/75550-representing-land-surface-heterogeneity-tiling-method-merits-and-limitations
DOI 10.21957/rz8hmulnn