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Improving severe storms forecasts by better constraining initial conditions

Improving severe storms forecasts by better constraining initial conditions
通过更好地限制初始条件来改善强风暴预报
批准号:
203521-2007
负责人:
Fabry, Frédéric
金额:
$1.54万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2008
资助国家:
加拿大
项目状态:
已结题
起止时间:
2008-01-01 至 2009-12-31

项目摘要

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中文摘要
翻译
为了做出更好的天气预报,为计算机提供当前天气状况的最佳描述是至关重要的。 由于我们无法测量所有的大气参数,例如从地面到整个大气层的温度和湿度,我们依赖于不同大气参数之间的观测和物理关系的组合,以获得当前天气状况的最佳图像。 这种技术被称为数据同化。
英文摘要
In order to make better weather forecasts, it is essential to provide the computer with the best description of the current weather situation. Because we cannot measure all atmospheric parameters such as temperature and humidity everywhere for the whole atmosphere from the surface up, we rely on a combination of observations and physical relationships between the different atmospheric parameters to get the best picture of the current weather situation. This technique is referred to as data assimilation.
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  • 项目类别:
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  • 资助金额:
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  • 资助金额:
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  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
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