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Applications of IASI on MetOp-A : first results and illustration of potential use for meteorology, climate monitoring and atmospheric chemistry

机译:IASI对MetoP-A的应用:气象学,气候监测和大气化学潜在用途的第一个结果和说明

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IASI was successfully launched on MetOP A on 19 October 2006. After the in-orbit commissioning, the performances of 1ASI were evaluated during the Cal/Val of level 1 Key parameters of instrument and on ground processing have been fixed for optimal performance and best quality data delivery The first spectra and images of level 1 products show all the potential of IASI data for expected applications. Some illustrations are given here with maps of pseudo channels sensitive to trace gases, atmospheric profiles or maps of surface temperature qualitatively compared to maps from models Level 2 processing to get these parameters has been implemented at Eumetsat and some products are currently under validation. The quality of IASI data paves the way to additional very promising products. A thorough analysis of cloud free spectra has been performed to extract the small signature of minor species like CFCs and HNO3. Nevertheless, the main limitation of IASI data remains clouds. It is showed here with the cluster analysis of AVHRR data registered in the IASI pixels and delivered as level 1 products that only a few cloud free pixels can used for full retrieval. A method making use of the cluster information has been developed. It permits to strongly increase the statistics where clear column profiles or columns above clouds can be retrieved. This scheme will be applied to the retrieval of the CO2 where large data set are needed to extract information from the spectra.
机译:IASI于2006年10月19日成功启动了Metop A.在轨道调试后,在1级仪器/ val的Cal / Val期间评估1ASI的表演,并在地面处理中得到了最佳的性能和最佳质量数据传递第1级产品的第一个光谱和图像显示了IASI数据的所有可能的预期应用。这里给出了一些插图,通过对痕量气体,大气简档或表面温度的映射与模型2级处理的映射进行了定性的伪通道的图,以获得这些参数在EumetSAT和某些产品目前正在验证。 IASI数据的质量为额外的非常有前途的产品铺平了道路。已经进行了对云自由光谱的彻底分析,以提取小物种(如CFCs和HNO3)的小签名。尽管如此,IASI数据的主要限制仍然是云。这里展示了在IASI像素中登记的AVHRR数据的集群分析,并且作为级别1级产品,只有几个云自由像素可以用于完全检索。已经开发了一种利用群集信息的方法。它允许强烈增加统计数据,其中可以检索云上上方的清除列简档或列。该方案将应用于CO2的检索,其中需要大数据集以从光谱中提取信息。

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