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Uncertainty in atmospheric temperature analyses

机译:大气温度分析的不确定性

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This report illustrates and quantifies the unanticipated large uncertainty and differences in tropospheric temperature analyses within current global operational forecast systems and historical re-analysis products. Results reveal that regional patterns of uncertainty in seasonally averaged and daily atmospheric upper-air temperature analyses are related to the irregular distribution of in situ and satellite observations. There is less uncertainty in analysed temperature where in situ radiosonde observations are plentiful, primarily over developed nations in the Northern Hemisphere, and more uncertainty over regions that are observed primarily by satellites with fewer in situ temperature observations, including oceanic areas, the cryosphere, and developing nations. The results suggest that operational weather forecasting and climate monitoring would benefit from an improved global observing network, including additional in situ components. There is also a need for progress in data assimilation to extract more information from the wealth of current and future satellite observations.
机译:本报告说明并量化了当前全球运行预报系统和历史再分析产品中对流层温度分析中意料之外的巨大不确定性和差异。结果表明,季节平均和每日大气高空温度分析的不确定性区域模式与原位和卫星观测值的不规则分布有关。主要在北半球发达国家进行实地探空观测的地方,分析温度的不确定性较小,而主要由实地温度观测较少的卫星观测的区域(包括海洋区域,冰冻圈和发展中国家。结果表明,业务天气预报和气候监测将受益于完善的全球观测网络,包括更多的原地组成部分。还需要在数据同化方面取得进展,以便从当前和将来的卫星观测中提取更多信息。

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