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: McGill University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2009
• 资助国家: 加拿大
• 起止时间: 2009-01-01 至 2010-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=424060
• 关键词: Improving; severe; storms; forecasts; better

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.

为了做出更好的天气预报，向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，如温度和湿度，从地面到整个大气，我们依赖于观测和不同大气参数之间的物理关系的结合，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。