<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Physical processes in soil-plant-water system are very complicated. Complex physical processes in soil, in particular interaction between soil-plant-water system have significant influence on processes in Planetary Boundary Layer. Changes of soil state can significantly modify processes in the PBL and meteorological fields. Since numerical models are to determine the forecast of high quality, the physical processes occurring in soil should be properly described and then appropriately introduced into a model. Every process in soil occurs on a smaller scale than original model’s domain, so it should be described via adequate parameterization. Overall, soil parameterizations implemented in current numerical weather prediction (NWP) model(s) were prepared almost 40 years ago, when NWP models worked with very poor resolution mesh. Since nowadays NWP works over domains of high resolution, these “old” schemes parameterization must be adequately revised. In this paper preliminary results of changes of parameterization of soil processes will be presented.</p></abstract>

Physical processes in soil-plant-water system are very complicated. Complex physical processes in soil, in particular interaction between soil-plant-water system have significant influence on processes in Planetary Boundary Layer. Changes of soil state can significantly modify processes in the PBL and meteorological fields. Since numerical models are to determine the forecast of high quality, the physical processes occurring in soil should be properly described and then appropriately introduced into a model. Every process in soil occurs on a smaller scale than original model’s domain, so it should be described via adequate parameterization. Overall, soil parameterizations implemented in current numerical weather prediction (NWP) model(s) were prepared almost 40 years ago, when NWP models worked with very poor resolution mesh. Since nowadays NWP works over domains of high resolution, these “old” schemes parameterization must be adequately revised. In this paper preliminary results of changes of parameterization of soil processes will be presented.

<bold>Influence of Parameterization</bold> of Some Physical Processes in Soils on Numerical Meteorological Forecasts of Surface Fields

Department For Numerical Weather Forecasts, Institute of Meteorology and Water Management - National Research Institute

Miscellanea Geographica

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

 of Some Physical Processes in Soils on Numerical Meteorological Forecasts of Surface Fields

Physical processes in soil-plant-water system are very complicated. Complex physical processes in soil, in particular interaction between soil-plant-water...

Influence of Parameterization of Some Physical Processes in Soils on Numerical Meteorological Forecasts of Surface Fields

Publié en ligne: 30 janv. 2017

Pages: 48 - 58

Reçu: 26 janv. 2016

Accepté: 06 déc. 2016

DOI: https://doi.org/10.1515/mgrsd-2016-0023

Mots clés
Soil-plant-water system, Hydrodynamics of porous media, Parameterization schemes, Multilayer soil model, Numerical weather prediction

© 2016 Andrzej Mazur et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Influence of Parameterization of Some Physical Processes in Soils on Numerical Meteorological Forecasts of Surface Fields

Publié en ligne: 30 janv. 2017

Pages: 48 - 58

Reçu: 26 janv. 2016

Accepté: 06 déc. 2016

DOI: https://doi.org/10.1515/mgrsd-2016-0023

Mots clésSoil-plant-water system, Hydrodynamics of porous media, Parameterization schemes, Multilayer soil model, Numerical weather prediction

© 2016 Andrzej Mazur et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
Soil-plant-water system, Hydrodynamics of porous media, Parameterization schemes, Multilayer soil model, Numerical weather prediction