Project "Operational decision-making based on atmospheric conditions" (PROZA) started in September 2009 is created by the consortium of four partners: Interdisciplinary Centre for Mathematical and Computer Modeling (ICM), University of Warsaw, Research Institute of Pomology and Floriculture, Research Institute of Forestry, and Institute of Oceanography, University of Gdansk (IOUG). The project has been developed in a response to actual demands from economic entities. Increasing need to improve regional and local weather forecasts is based on a significant impact of a weather on many areas of the human activity. The systematic increase of the quality of forecasts based on the concentrated research in the field of numerical weather prediction gives the possibility to improve the usability and practical application of results in various fields of economy and social life. Topics implemented under the project relate both to the development of operational numerical weather prediction system and develop a range of applications for selected areas of the economy: energy, forestry, horticulture and marine management. ...
Land surface parameterizations in numerical weather prediction models direct the exchange of energy between the land surface and the atmosphere. The main purpose of this paper is to gain insight into how surface heterogeneity can influence the modeled convective boundary layer, and whether the complexity of the modeled land-atmosphere interactions can improve forecasts of convective precipitation. To achieve this the NOAH land-surface model has been coupled to the Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS). Selected cases of fair weather convective conditions and convectively produced rain episodes were used to evaluate the behavior of a land-surface model coupled to a high-resolution numerical weather prediction system. Our experiments are designed such that different surface conditions (wet soil during rain episodes and dry soil conditions during fair weather days) and different atmospheric situations could be used to further our understanding of the behavior of the model by com-paring model solutions to surface observations.
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In 1997 the Interdisciplinary Centre for Mathematical and Computational Modelling (ICM), University of Warsaw launched the Internet weather service which delivers numerical weather forecasts for individual consumers and has become a basis for several weather-related scientific projects. The project "Op-erational decision-making based on atmospheric conditions" (PROZA) (started in September 2009) utilizes data obtained from weather service provided by ICM. The Research Institute of Horticulture is one of the partners in the project. The institute participates in task 3 of the project: "Application of numerical weather forecasts in forestry and fruit farming". In the frame of this task, an Internet platform for forecasting of spring frosts and fruit crop water needs was developed. https://prognozy.projekt-proza.pl/. A user (after logging in) has access to the following information (forecast is prepared for 3 days): ETo, precipitation, climatic water balance and water requirements of major fruit crops. Data on amount of (easily) available water in root zone are also available. The information provided by the service make controlling of irrigation easier and thus improve agricultural water use efficiency. The estimation of forecasting quality showed that the accuracy of forecast was high proving its practical value for fruit growers. ...
