...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing. >Cloud-drift and water vapor winds in the polar regions from MODISIR
【24h】

Cloud-drift and water vapor winds in the polar regions from MODISIR

机译：来自MODISIR的极地地区的云漂移和水蒸气风

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Wind products from geostationary satellites have been generated for over 20 years and are now used in numerical weather prediction systems. However, geostationary satellites are of limited utility poleward of the midlatitudes. This study demonstrates the feasibility of deriving high latitude tropospheric wind information from polar-orbiting satellites. The methodology employed is based on the algorithms currently used with geostationary satellites, modified for use with the Moderate-Resolution Imaging Spectroradiometer (MODIS) infrared window and water vapor bands. These bands provide wind information throughout the troposphere in both clear and cloudy conditions. The project presents some unique challenges, including the irregularity of temporal sampling, varying viewing geometries, and uncertainties in wind vector height assignment as a result of low atmospheric water vapor amounts and thin clouds. A 30-day case study dataset has been produced and is being used in model impact studies. Preliminary results are encouraging: when the MODIS winds are assimilated in the European Centre for Medium Range Weather Forecasts (ECMWF) system and the NASA Data Assimilation Office system, forecasts of the geopotential height for the Arctic, the Northern Hemisphere extratropics, and the Antarctic are improved significantly.
机译：对地静止卫星的风产品已经产生了20多年，现在已用于数值天气预报系统中。但是，对地静止卫星在中纬度地区的效用极小。这项研究证明了从极地轨道卫星获取高纬度对流层风信息的可行性。所采用的方法基于对地静止卫星当前使用的算法，并经过修改，可与中分辨率成像光谱仪（MODIS）的红外窗口和水蒸气波段一起使用。这些波段在晴朗和多云的条件下在整个对流层提供风信息。该项目提出了一些独特的挑战，包括时间采样的不规律性，不同的观看几何形状以及由于大气水汽量少和云薄而导致的风向矢量高度分配的不确定性。已经生成了一个为期30天的案例研究数据集，并将其用于模型影响研究。初步结果令人鼓舞：当欧洲中程天气预报中心（ECMWF）系统和NASA数据同化办公室系统将MODIS风同化时，对北极，北半球温带和南极的地势高度的预报就可以了。明显改善。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号