The Experts below are selected from a list of 10560 Experts worldwide ranked by ideXlab platform
Robert Arnone - One of the best experts on this subject based on the ideXlab platform.
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Solar irradiance Short Wave Radiation users guide
1995Co-Authors: Paul Martinolich, Robert ArnoneAbstract:Abstract : Solar irradiance for Short Wave Radiation (400-700 nm) at the sea surface can be calculated using inputs obtained from satellite systems and model estimates. The Short Wave solar irradiance is important for estimating the surface heating that occurs in the near surface and estimating the available irradiance for biological growth in the upper ocean. The variability of the solar irradiance is believed to have significant influence on the global carbon cycle. This users guide provides an understanding of the models and operational procedures for using the software and understanding the results. (AN)
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Solar irradiance Short Wave Radiation users guide. Final report
1995Co-Authors: Paul Martinolich, Robert ArnoneAbstract:Solar irradiance for Short Wave Radiation (400-700 nm) at the sea surface can be calculated using inputs obtained from satellite systems and model estimates. The Short Wave solar irradiance is important for estimating the surface heating that occurs in the near surface and estimating the available irradiance for biological growth in the upper ocean. The variability of the solar irradiance is believed to have significant influence on the global carbon cycle. This users guide provides an understanding of the models and operational procedures for using the software and understanding the results.
Buyong Lee - One of the best experts on this subject based on the ideXlab platform.
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analysis on daily variation mechanism of Short Wave Radiation between downtown and suburban area during summer season
Journal of the Korean Solar Energy Society, 2014Co-Authors: Dongho Choi, Buyong Lee, Hyeongse JeongAbstract:The purpose of this study is to understand daily variation of Short-Wave Radiation trends according to the state of surface and observation of atmosphere conditions in downtown and suburban observation area. The followings are main results from this study. 1) We found out daily air temperature variation of downtown is less than that of suburban area because of bigger heat capacity of artificial elements such as massive buildings and pavements. 2) It is more effective to estimate of air condition by water vapor pressure than relative humidity in the atmosphere. 3) The difference of solar Radiation ratio between downtown and suburban area is dependant on different atmosphere conditions at two observation stations.
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long and Short Wave Radiation and correlation analysis between downtown and suburban area ii study on correlation analysis method of Radiation data
Journal of the Korean Solar Energy Society, 2013Co-Authors: Dongho Choi, Buyong LeeAbstract:The propose of this study is to understand the phenomenon of Radiation and comparison of analysis of two methods. One is analysis method of same-time data and the another is analysis method of rank data. We confirmed that two methods of correlation analysis had the effectiveness and suitability. The followings are main results from this study. 1) The seasonal correlation coefficient of long and Short-Wave Radiation is higher in winter than in summer because of high humidity in the summer season can makes easily cloud in the sky locally. 2) According to analysis method, there is big difference in correlation coefficient from 0.494(Analysis method of same-time data) to 0.967(Analysis method of rank data) with Short-Wave Radiation by the location during summer. These results have significant value in solar Radiation research and analysis. It has explored a new way for solar Radiation research of analysis method as well.
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long and Short Wave Radiation and correlation analysis between downtown and suburban area i observation of the long and Short Wave Radiation in summer and winter season of daegu
Journal of the Korean Solar Energy Society, 2013Co-Authors: Dongho Choi, Buyong LeeAbstract:The objective of this study was to compare and analyze for seasonal long Short-Wave Radiation characteristics between downtown area and suburban area in Daegu through field observations. This study was confirmed the regional and seasonal Radiation environments and it can utilize as basic data for the analysis of the urban Radiation environment and the effects of urbanization. The followings are main results from this study. 1) The downward ShortWave Radiation showed the similar value of the Radiation generally in the downtown area and the suburban area of the city during the winter and summer season. but, long-Wave Radiation is always higher in downtown area. 2) In case of the long-Wave Radiation at two stations, we observed in the winter season and in summer season. As a result, we can see summer season is higher than winter about two times in long-Wave Radiation. 3) In case of Short Wave Radiation, there is high correlation between two stations in winter season but very low correlation between two stations in summer season because of local atmosphere unstability and etc.
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observation and analysis of the long and Short Wave Radiation according to different altitudes and locations in daegu during summer
Journal of the Korean Solar Energy Society, 2012Co-Authors: Dongho Choi, Buyong LeeAbstract:This study for the understanding of the Radiation environment according to the altitude in urban area in the summer observes the long and Short Wave Radiation environment at the 4 urban areas with different height and the 1 suburban area. The results of this study are as follows. (1) When the altitude was high, the more Short Wave Radiation was observed. (2) As the altitude was high, the temperature of atmosphere got lower. And because of that the downward long Wave Radiation was also lower. This general trend was confirmed through the study. (3) Through the observation of long Wave Radiation, the upper atmosphere of suburban area had the atmosphere characteristic which the temperature was rising and decreasing faster. Therefore, the difference Radiation characteristics between the urban and suburban area were confirmed. (4) The result of the ratio of Short Wave Radiation to long Wave Radiation(Short Wave Radiation/long Wave Radiation) according to the altitude and location, the value was increased when the distance was far from the artificiality structure or a heat source, and the urban effect became smaller. Thus, it is expected that the ratio will be an evaluation index for evaluating urbanization effect.
Georges Hofman - One of the best experts on this subject based on the ideXlab platform.
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a soil temperature Short Wave Radiation growth model for butterhead lettuce under protected cultivation in flanders
Journal of Plant Nutrition, 2007Co-Authors: Joost Salomez, Georges HofmanAbstract:ABSTRACT The objective of this study was to provide Flemish greenhouse farmers an accurate growth model for butterhead lettuce, based on two environmental parameters, i.e. soil temperature and Short-Wave Radiation. During two consecutive years, a total of 27 growth experiments were followed up, whereby head fresh weight (at a 14 d interval), soil temperature at 10 cm depth (on a half-hour basis), and Short-Wave Radiation (14 d summation) were measured. Separate Gompertz functions, with either Radiation or soil temperature as input variable, accurately modelled growth; but via a combined approach, an almost perfect fit (R2 = 0.91) between measured and simulated head fresh weight was obtained. This modelling approach provides lettuce growers a tool for the quantitative estimation of crop weight in relation to changes in soil temperature and Short-Wave Radiation. Weather forecast (Radiation) and managerial decisions (soil temperature), now serve as the input data of a scientifically based lettuce growth model.
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A Soil Temperature/Short-Wave Radiation Growth Model for Butterhead Lettuce Under Protected Cultivation in Flanders
Journal of Plant Nutrition, 2007Co-Authors: Joost Salomez, Georges HofmanAbstract:ABSTRACT The objective of this study was to provide Flemish greenhouse farmers an accurate growth model for butterhead lettuce, based on two environmental parameters, i.e. soil temperature and Short-Wave Radiation. During two consecutive years, a total of 27 growth experiments were followed up, whereby head fresh weight (at a 14 d interval), soil temperature at 10 cm depth (on a half-hour basis), and Short-Wave Radiation (14 d summation) were measured. Separate Gompertz functions, with either Radiation or soil temperature as input variable, accurately modelled growth; but via a combined approach, an almost perfect fit (R2 = 0.91) between measured and simulated head fresh weight was obtained. This modelling approach provides lettuce growers a tool for the quantitative estimation of crop weight in relation to changes in soil temperature and Short-Wave Radiation. Weather forecast (Radiation) and managerial decisions (soil temperature), now serve as the input data of a scientifically based lettuce growth model.
Dongho Choi - One of the best experts on this subject based on the ideXlab platform.
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analysis on daily variation mechanism of Short Wave Radiation between downtown and suburban area during summer season
Journal of the Korean Solar Energy Society, 2014Co-Authors: Dongho Choi, Buyong Lee, Hyeongse JeongAbstract:The purpose of this study is to understand daily variation of Short-Wave Radiation trends according to the state of surface and observation of atmosphere conditions in downtown and suburban observation area. The followings are main results from this study. 1) We found out daily air temperature variation of downtown is less than that of suburban area because of bigger heat capacity of artificial elements such as massive buildings and pavements. 2) It is more effective to estimate of air condition by water vapor pressure than relative humidity in the atmosphere. 3) The difference of solar Radiation ratio between downtown and suburban area is dependant on different atmosphere conditions at two observation stations.
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long and Short Wave Radiation and correlation analysis between downtown and suburban area ii study on correlation analysis method of Radiation data
Journal of the Korean Solar Energy Society, 2013Co-Authors: Dongho Choi, Buyong LeeAbstract:The propose of this study is to understand the phenomenon of Radiation and comparison of analysis of two methods. One is analysis method of same-time data and the another is analysis method of rank data. We confirmed that two methods of correlation analysis had the effectiveness and suitability. The followings are main results from this study. 1) The seasonal correlation coefficient of long and Short-Wave Radiation is higher in winter than in summer because of high humidity in the summer season can makes easily cloud in the sky locally. 2) According to analysis method, there is big difference in correlation coefficient from 0.494(Analysis method of same-time data) to 0.967(Analysis method of rank data) with Short-Wave Radiation by the location during summer. These results have significant value in solar Radiation research and analysis. It has explored a new way for solar Radiation research of analysis method as well.
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long and Short Wave Radiation and correlation analysis between downtown and suburban area i observation of the long and Short Wave Radiation in summer and winter season of daegu
Journal of the Korean Solar Energy Society, 2013Co-Authors: Dongho Choi, Buyong LeeAbstract:The objective of this study was to compare and analyze for seasonal long Short-Wave Radiation characteristics between downtown area and suburban area in Daegu through field observations. This study was confirmed the regional and seasonal Radiation environments and it can utilize as basic data for the analysis of the urban Radiation environment and the effects of urbanization. The followings are main results from this study. 1) The downward ShortWave Radiation showed the similar value of the Radiation generally in the downtown area and the suburban area of the city during the winter and summer season. but, long-Wave Radiation is always higher in downtown area. 2) In case of the long-Wave Radiation at two stations, we observed in the winter season and in summer season. As a result, we can see summer season is higher than winter about two times in long-Wave Radiation. 3) In case of Short Wave Radiation, there is high correlation between two stations in winter season but very low correlation between two stations in summer season because of local atmosphere unstability and etc.
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observation and analysis of the long and Short Wave Radiation according to different altitudes and locations in daegu during summer
Journal of the Korean Solar Energy Society, 2012Co-Authors: Dongho Choi, Buyong LeeAbstract:This study for the understanding of the Radiation environment according to the altitude in urban area in the summer observes the long and Short Wave Radiation environment at the 4 urban areas with different height and the 1 suburban area. The results of this study are as follows. (1) When the altitude was high, the more Short Wave Radiation was observed. (2) As the altitude was high, the temperature of atmosphere got lower. And because of that the downward long Wave Radiation was also lower. This general trend was confirmed through the study. (3) Through the observation of long Wave Radiation, the upper atmosphere of suburban area had the atmosphere characteristic which the temperature was rising and decreasing faster. Therefore, the difference Radiation characteristics between the urban and suburban area were confirmed. (4) The result of the ratio of Short Wave Radiation to long Wave Radiation(Short Wave Radiation/long Wave Radiation) according to the altitude and location, the value was increased when the distance was far from the artificiality structure or a heat source, and the urban effect became smaller. Thus, it is expected that the ratio will be an evaluation index for evaluating urbanization effect.
Krystof Eben - One of the best experts on this subject based on the ideXlab platform.
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support vector regression of multiple predictive models of downward Short Wave Radiation
International Joint Conference on Neural Network, 2014Co-Authors: Pavel Kromer, Petr Musilek, Emil Pelikan, Pavel Krc, Pavel Jurus, Krystof EbenAbstract:Accurate forecasts of weather conditions are of the utmost importance for the management and operation of renewable energy sources with intermittent (stochastic) production. With the growing amount of intermittent energy sources, the need for precise weather predictions increases. Production of energy from renewable power sources, such as wind and solar, can be predicted using numerical weather prediction models. These models can provide high-resolution, localized forecast of wind speed and solar irRadiation. However, different instances of numerical weather prediction models may provide different forecasts, depending on their properties and parameterizations. To alleviate this problem, it is possible to employ multiple models and to combine their outputs to obtain more accurate localized forecasts. This work uses the machine-learning tool of Support Vector Regression to amalgamate downward Short-Wave Radiation forecasts of several numerical weather prediction models. Results of SVR-based multi-model forecasts of irRadiation at a large set of locations show a significant improvement of prediction accuracy.
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IJCNN - Support Vector Regression of multiple predictive models of downward Short-Wave Radiation
2014 International Joint Conference on Neural Networks (IJCNN), 2014Co-Authors: Pavel Kromer, Petr Musilek, Emil Pelikan, Pavel Krc, Pavel Jurus, Krystof EbenAbstract:Accurate forecasts of weather conditions are of the utmost importance for the management and operation of renewable energy sources with intermittent (stochastic) production. With the growing amount of intermittent energy sources, the need for precise weather predictions increases. Production of energy from renewable power sources, such as wind and solar, can be predicted using numerical weather prediction models. These models can provide high-resolution, localized forecast of wind speed and solar irRadiation. However, different instances of numerical weather prediction models may provide different forecasts, depending on their properties and parameterizations. To alleviate this problem, it is possible to employ multiple models and to combine their outputs to obtain more accurate localized forecasts. This work uses the machine-learning tool of Support Vector Regression to amalgamate downward Short-Wave Radiation forecasts of several numerical weather prediction models. Results of SVR-based multi-model forecasts of irRadiation at a large set of locations show a significant improvement of prediction accuracy.
