利用22 GHz微波光谱辐射计的光谱反演对流层水汽剖面

R. Bleisch, N. Kampfer
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引用次数: 2

摘要

本文提出了一种利用位于伯尔尼(CH)南部、由应用物理研究所在NDACC框架下运行的地面微波辐射计MIAWARA(中层大气水汽辐射计)在22 GHz观测光谱中反演对流层水汽含量的方法。我们的检索方法利用光谱仪1 GHz的整个带宽额外检索对流层水汽剖面。因此,使用从倾斜曲线校准(通常用于确定对流层不透明度)的总功率谱。除了标准的先验概要之外,我们还尝试通过使用外部信息作为额外的检索约束来提高检索方法的性能。一种尝试是使用由安装在仪器附近的Ceilometer和一个红外传感器提供的云覆盖信息,红外传感器与仪器连接在相同的视线范围内。因此,云底高度和假设的相对湿度为100%提供了一个“定点”与已知的剖面值作为额外的先验信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Retrieval of tropospheric water vapour profiles by using spectra from a microwave spectro-radiometer at 22 GHz
We present an approach to retrieve the tropospheric water vapour content from spectra observed at 22 GHz by the groundbased microwave radiometer MIAWARA (Middle Atmospheric Water Vapour Radiometer), located in the south of Bern (CH) and operated by the Institute of Applied Physics in the frame of NDACC. Our retrieval approach uses the entire bandwidth of 1 GHz of the spectrometer to additionally retrieve tropospheric water vapour profiles. Thereby total power spectra from tipping curve calibration (usually used to determine tropospherical opacity) are used. In addition to a standard a priori profile, we try to improve the performance of our retrieval approach by using external informations as additional retrieval constraints. One attempt is to use informations about cloud coverage delivered by a Ceilometer (installed close to the instrument) and an infrared sensor, which is attached to the instrument with the same line-of-sight. Thereby the cloud-base height together with an assumed relative humidity of 100% deliver a "fixed-point" with known profile value as additional a-priori information.
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