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Physical properties of maritime low clouds as retrieved by combined use of Tropical Rainfall Measurement Mission Microwave Imager and Visible/Infrared Scanner : Algorithm

机译:通过结合使用热带降雨测量任务微波成像仪和可见/红外扫描仪获得的海上低云的物理特性:算法

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摘要

Satellite remote sensing studies on the microphysical and optical properties of clouds have constructed an active research field in the last decades. Clouds are observed over a wide spectral range from the visible/infrared to the microwave, and either shortwave or microwave measurement is used to evaluate the liquid water path (LWP). On the other hand, to date, there have been few cloud studies based on combined measurement by a visible/infrared imager and a microwave radiometer aboard the same platform. In this paper a physical inversion algorithm for the combined use of visible/infrared and microwave sensors is proposed to retrieve the cloud physical quantities such as LWP and the effective droplet radius, each of which is determined in two different ways. The current version of the algorithm has been developed for application to the Tropical Rainfall Measurement Mission (TRMM) sensors, i.e., Visible and Infrared Scanner (VIRS) and TRMM Microwave Imager (TMI). The cloud top temperature obtained from the VIRS analysis is used as an input to the TMI analysis to reduce uncertainties in estimation of LWP. Total errors in LWP are estimated to range from 11 to 30 g/m2. In the algorithm the beam-filling efficiency of clouds for TMI footprints is corrected by the cloud fraction evaluated from the VIRS measurements. For application, global analysis is performed with 3-monthly data from January to March 2000. The scatter diagram of the shortwave-retrieved LWP (LWPshrt) versus the microwave-retrieved LWP (LWPmicr) shows characteristic trends for both precipitating and nonprecipitating clouds. Vertical inhomogeneity of the cloud droplet size accounts for small excess of LWPshrt over LWPmicr for nonprecipitating clouds, while precipitating clouds produce LWPmicr larger than LWPshrt, owing to the presence of raindrops. These tendencies are reinforced by examination of the global distributions of the shortwave-retrieved droplet radius Re(NV) and the microwave counterpart defined by LWP divided by the cloud optical thickness Re(MV). The result implies that difference in those effective radii reflects a microphysical mechanism to expedite or suppress the conversion of the cloud water into rainfall.
机译:在过去的几十年中,有关云的微物理和光学特性的卫星遥感研究已成为活跃的研究领域。在从可见/红外到微波的宽光谱范围内都可以观察到云,并且可以通过短波或微波测量来评估液态水路径(LWP)。另一方面,迄今为止,很少有基于同一平台上的可见/红外成像仪和微波辐射计进行联合测量的云研究。在本文中,提出了一种结合使用可见/红外和微波传感器的物理反演算法,以检索云的物理量,例如LWP和有效液滴半径,它们分别以两种不同的方式确定。已经开发了该算法的当前版本,以应用于热带降雨测量任务(TRMM)传感器,即可见和红外扫描仪(VIRS)和TRMM微波成像仪(TMI)。从VIRS分析获得的云顶温度被用作TMI分析的输入,以减少估计LWP的不确定性。 LWP的总误差估计为11至30 g / m2。在该算法中,通过从VIRS测量中评估的云分数来校正TMI足迹的云光束填充效率。作为应用,使用2000年1月至2000年3月的3个月数据进行全局分析。短波回收LWP(LWPshrt)与微波回收LWP(LWPmicr)的散点图显示了降水云和非降水云的特征趋势。对于非降水云,云滴尺寸的垂直不均匀性导致LWPshrt比LWPmicr略有过量,而由于雨滴的存在,降水云产生的LWPmicr比LWPshrt大。通过检查短波回收液滴半径Re(NV)和由LWP定义的微波对应物除以云光学厚度Re(MV)的整体分布,可以增强这些趋势。结果表明,有效半径的差异反映了加快或抑制云水转化为降雨的微观物理机制。

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