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首页> 外文期刊>Geophysical Research Letters >Improved hurricane track and intensity forecast using single fieldof- view advanced IR sounding measurements
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Improved hurricane track and intensity forecast using single fieldof- view advanced IR sounding measurements

机译：使用单视场高级红外探测技术改进飓风的跟踪和强度预报

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摘要

Hyperspectral infrared sounders such as the AIRS and IASI provide unprecedented global atmospheric temperature and moisture soundings with high vertical resolution and accuracy. The AIRS and IASI data have been used in global numerical weather prediction models with positive impact on weather forecasts. The high spatial resolution single field-ofview soundings retrieved from AIRS have been applied to hurricane track and intensity assimilations and forecasts. The newly developed NCAR WRF/DA RT ensemble data assimilation is performed at 36 km resolution. Studies show that the track error for Hurricane Ike (2008) is reduced greatly when AIRS soundings are used compared with the control run which includes other observations such as radiosonde, satellite cloud winds, aircraft data, ship data,and land surface data, etc. The hurricane intensity forecast is also substantially improved when AIRS data are assimilated.This study demonstrates the importance of high spatial and hyperspectral IR sounding data in forecasting hurricanes.
机译：高光谱红外测深仪，例如AIRS和IASI，可提供前所未有的全球大气温度和湿度测深，并且具有很高的垂直分辨率和精度。 AIRS和IASI数据已用于全球数值天气预报模型中，对天气预报产生积极影响。从AIRS检索到的高空间分辨率单视场测深已应用于飓风跟踪和强度同化和预报。新开发的NCAR WRF / DA RT集合数据同化功能以36 km的分辨率执行。研究表明，与使用其他观测数据（例如探空仪，卫星云风，飞机数据，船舶数据和地面数据等）的控制运行相比，使用AIRS测深的艾克飓风（2008）的跟踪误差大大降低。吸收AIRS数据后，飓风强度的预报也得到了显着改善。本研究证明了高空间和高光谱红外探测数据在预报飓风中的重要性。

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