The paper presents an approach to the treatment and analysis of long-range transport and dispersion model forecasts. Long-range is intended here as the space scale of the order of few thousands of kilometers known also as continental scale. The method is called multi-model ensemble dispersion and is based on the simultaneous analysis of several model simulations by means of ad-hoc statistical treatments and parameters. The models considered in this study are operational long-range transport and dispersion models used to support decision making in various countries in case of accidental releases of harmful volatile substances, in particular radionuclides to the atmosphere. The ensemble dispersion approach and indicators provide a way to redu...
This work aims at introducing an approach to analyze the independence between different data model i...
Numerous numerical models are developed to predict long range transport of hazardous air pollution i...
The usefulness of dispersion forecasts depends on proper interpretation of results. Understanding th...
The paper presents an approach to the treatment and analysis of long-range transport and dispersion ...
Is atmospheric dispersion forecasting an important asset of the early-phase nuclear emergency respon...
Long range transport and dispersion (LRTD) models are used operationally by meteorological offices a...
This work aims at introducing an approach to analyze the independence between different models in a...
Abstract. This work aims at introducing an approach to analyze the independence between different mo...
This work aims at introducing an approach to analyze the independence between different models in a ...
International audienceAbstract. Numerical atmospheric dispersion models (ADMs) are used for predicti...
International audienceAbstract. Numerical atmospheric dispersion models (ADMs) are used for predicti...
International audienceAbstract. Numerical atmospheric dispersion models (ADMs) are used for predicti...
International audienceAbstract. Numerical atmospheric dispersion models (ADMs) are used for predicti...
International audienceAbstract. Numerical atmospheric dispersion models (ADMs) are used for predicti...
International audienceAbstract. Numerical atmospheric dispersion models (ADMs) are used for predicti...
This work aims at introducing an approach to analyze the independence between different data model i...
Numerous numerical models are developed to predict long range transport of hazardous air pollution i...
The usefulness of dispersion forecasts depends on proper interpretation of results. Understanding th...
The paper presents an approach to the treatment and analysis of long-range transport and dispersion ...
Is atmospheric dispersion forecasting an important asset of the early-phase nuclear emergency respon...
Long range transport and dispersion (LRTD) models are used operationally by meteorological offices a...
This work aims at introducing an approach to analyze the independence between different models in a...
Abstract. This work aims at introducing an approach to analyze the independence between different mo...
This work aims at introducing an approach to analyze the independence between different models in a ...
International audienceAbstract. Numerical atmospheric dispersion models (ADMs) are used for predicti...
International audienceAbstract. Numerical atmospheric dispersion models (ADMs) are used for predicti...
International audienceAbstract. Numerical atmospheric dispersion models (ADMs) are used for predicti...
International audienceAbstract. Numerical atmospheric dispersion models (ADMs) are used for predicti...
International audienceAbstract. Numerical atmospheric dispersion models (ADMs) are used for predicti...
International audienceAbstract. Numerical atmospheric dispersion models (ADMs) are used for predicti...
This work aims at introducing an approach to analyze the independence between different data model i...
Numerous numerical models are developed to predict long range transport of hazardous air pollution i...
The usefulness of dispersion forecasts depends on proper interpretation of results. Understanding th...