A new design of the LAPS land surface scheme for use over and through heterogeneous and non-heterogeneous surfaces: Numerical simulations and tests

Mihailoviĉ, Dragutin T.; Lazić, Jelena; Leśny, Jacek; Olejnik, Janusz; Lalić, Branislava; Kapor, D.; Ćirišan, Ana

doi:10.1007/s00704-009-0184-z

Cited by 9 publications

(6 citation statements)

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“…The LAPS was developed at the University of Novi Sad Faculty of Agriculture, and CMEP is a Soil Vegetation Atmosphere Transfer (SVAT) model that describes mass, energy and momentum transfer between the land surface and atmosphere (Mihailovic et al , ). The LAPS is a software package that can run independently or as part of an environmental model.…”

Section: Methodsmentioning

confidence: 99%

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Effectiveness of short‐term numerical weather prediction in predicting growing degree days and meteorological conditions for apple scab appearance

Lalić

Francia²,

Eitzinger

et al. 2015

Meteorological Applications

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This study assesses the effectiveness of short-term numerical weather prediction (NWP) in predicting the accumulation of growing degree days (GDDs) and meteorological conditions for apple scab appearance. Apple scab is the most frequent and harmful apple disease caused by the fungus Venturia inaequalis. Using the 30 days of NWP weather forecast and observed data for March 2011, representative data sets based on 24, 48, 72 and 96 h forecasts were designed. The results obtained for four lowland locations in Serbia and one slightly hilly location in Austria indicate that, on a monthly basis, there is a relative deviation of up to 20% in the GDD predictions above 0 ∘ C and a 40% relative deviation in the GDD predictions above 5 ∘ C. In contrast to the slightly hilly location, the apple scab appearance predictions based on the NWP in lowland locations correspond well with the results obtained using observed meteorological data. This indicates that short-term NWP is potentially effective in predicting apple scab appearance and has a slight advantage in lowland regions.

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Section: Methodsmentioning

confidence: 99%

“…There are seven prognostic variables: three temperature variables, one interception storage variable and three soil moisture storage variables. The main features and recent redesign of the LAPS can be found in Mihailovic et al (, ).…”

Section: Methodsmentioning

confidence: 99%

Effectiveness of short‐term numerical weather prediction in predicting growing degree days and meteorological conditions for apple scab appearance

Lalić

Francia²,

Eitzinger

et al. 2015

Meteorological Applications

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“…for apple trees, 2.49 m; Mihailović et al , 2010), z 0 is the roughness parameter (e.g. for apple trees, 0.24 m; Mihailović et al , 2010), and h is the maximum vegetation height (3.5 m). The values r cp and r cx depend on stomatal closure and can be determined from the stomatal resistance ( r s ) and the maximum leaf area index (LAI): r c = r s / LAI (Moran et al , 1994).…”

Section: Methodsmentioning

confidence: 99%

Stress indicators based on airborne thermal imagery for field phenotyping a heterogeneous tree population for response to water constraints

Virlet

Lebourgeois

Martinez

et al. 2014

Journal of Experimental Botany

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“…This scheme was chosen because it is freely available and was tested as the stand-alone version as well as coupled with the Eta numerical weather prediction model in both long-term and short-term simulations (Mihailovic 1996). There is a fair amount of literature explaining the functionality of LAPS (Mihailovic and Kallos 1997;Mihailovic et al 2000;Mihailovic et al 2002;Mihailovic et al 2010). A comparison study was conducted with data collected during the vegetation period on three forest eddy-covariance sites (section 2.1).…”

Section: Introductionmentioning

confidence: 99%

The impact of forest architecture parameterization on GPP simulations

Firanj

Lalić

Podraščanin

2014

Theor Appl Climatol

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The presence of a forest strongly affects ecosystem fluxes by acting as a source or sink of mass and energy. The objective of this study was to investigate the influence of the vertical forest heterogeneity parameterization on gross primary production (GPP) simulations. To introduce a heterogeneity effect, a new method for the upscaling of the leaf level GPP is proposed. This upscaling method is based on the relationship between the leaf area index (LAI) and the leaf area density (LAD) profiles and the standard sun/shade leaf separation method. The effect of the crown shape and foliage distribution parameterization on the simulated GPP is confirmed in a comparison study between the proposed method and the standard sun/shade upscaling method. The observed values used in the comparison study are assimilated during the vegetation period on three distinguished forest eddy-covariance (EC) measurement sites chosen for the diversity of their morphological characteristics. The obtained results show (a) the sensitivity of the simulated GPP to the leaf area density profile, (b) the capability of the proposed scaling method to calculate the contribution of the different canopy layers to the entire canopy GPP, and (c) a better agreement with the observations of the simulated GPP with the proposed upscaling method compared with the standard sun/shade method.

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A new design of the LAPS land surface scheme for use over and through heterogeneous and non-heterogeneous surfaces: Numerical simulations and tests

Cited by 9 publications

References 50 publications

Effectiveness of short‐term numerical weather prediction in predicting growing degree days and meteorological conditions for apple scab appearance

Effectiveness of short‐term numerical weather prediction in predicting growing degree days and meteorological conditions for apple scab appearance

Stress indicators based on airborne thermal imagery for field phenotyping a heterogeneous tree population for response to water constraints

The impact of forest architecture parameterization on GPP simulations

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