首页> 外文会议>Multispectral and Hyperspectral Remote Sensing Instruments and Applications II >Using MODIS with AIRS to develop an operational cloud-cleared radiance product
【24h】

Using MODIS with AIRS to develop an operational cloud-cleared radiance product

机译:结合使用MODIS和AIRS来开发可运行的云清除辐射产品

获取原文
获取原文并翻译 | 示例

摘要

Today, most Numerical Weather Prediction (NWP) centers are assimilating cloud-free radiances. Radiances from the Atmospheric Infrared Sounder have been directly assimilated in NWP models with modest positive impacts. However, since only 5% percentage of AIRS fields of view (fovs) are cloud-free, only very small amounts of the data in the lower troposphere are assimilated. (Note that channels in the mid-upper stratosphere are always assimilated since they are never contaminated by clouds.) The highest vertical resolving power of AIRS is in the lower troposphere. To further improve forecast skill we must increase the use of channels in the lower troposphere. This can be accomplished by assimilating cloud-cleared radiances, which has a yield of about 50%. Since cloud-cleared radiance may have residual cloud contamination and forecast accuracy is very sensitive to the accuracy of the input observations, a technique has been developed to use the 1 km infrared channels on the Moderate Resolution Imaging Spectroradiometer (MODIS) to quality control the cloud-cleared radiances derived from an array of 3 x 3 high spectral infrared sounder AIRS 14 km fovs. This is accomplished by finding MODIS clear radiances values within the AIRS field of view. The MODIS clear radiances are compared to cloud-cleared AIRS radiances that have been convolved to the MODIS spectral resolution. Our studies have found that the cloud-cleared radiances error statistics are very similar to cloud-free (clear) when MODIS data are used to remove potential outliers in the population of AIRS cloud-cleared radiances.
机译:如今,大多数数值天气预报(NWP)中心都在吸收无云辐射。来自大气红外测深仪的辐射已直接吸收到NWP模型中,并产生了适度的积极影响。但是,由于仅5%的AIRS视场(fovs)是无云的,因此对流层较低层中的数据量很少。 (请注意,平流层中上部的通道总是被吸收,因为它们从未被云污染。)AIRS的最高垂直分辨能力是在对流层的较低端。为了进一步提高预报技能,我们必须增加对流层下部通道的使用。这可以通过吸收云清除的辐射来实现,其产率约为50%。由于清除了云的辐射可能会残留云污染,并且预报精度对输入观测值的准确性非常敏感,因此开发了一种技术,可以使用中分辨率成像光谱仪(MODIS)上的1 km红外通道对云进行质量控制-由3 x 3个高光谱红外测深仪AIRS 14 km fovs阵列获得的清除的辐射。这是通过在AIRS视场内找到MODIS净辐射度值来实现的。将MODIS净辐射与已清除为MODIS光谱分辨率的云清除AIRS辐射进行比较。我们的研究发现,当使用MODIS数据去除AIRS云清除辐射量的潜在离群值时,云清除辐射误差统计非常类似于无云(清除)。

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