...
首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >Influence of inhomogeneous cloud fields on optical properties retrieved from satellite observations
【24h】

Influence of inhomogeneous cloud fields on optical properties retrieved from satellite observations

机译:不均匀云场对卫星观测反演光学特性的影响

获取原文
获取原文并翻译 | 示例
           

摘要

Analyses of solar radiation exchanges between the atmosphere and clouds are vital for the understanding of climate processes and cycles. Comparisons of satellite-to-satellite or satellite-to-ground-truth observations aiming at, elucidating the radiative behavior of atmospheric components (clouds, aerosols, gas, etc.), or validating data of a particular satellite are a common practice in global radiation investigations. In order to assess the quality of cloud optical properties derived from Geostationary Meteorological Satellite-5/Stretched Visible Infrared Spin Scan Radiometer (GMS-5/SVISSR), the former procedure (satellite-to-satellite comparison) was used. Data derived from GMS-5/SVISSR satellite were compared with those from the polar-orbiting Terra-Moderate Resolution Imaging Spectroradiometer (Terra-MODIS) satellite. This comparison showed serious discrepancies between cloud optical depth (COD) data retrieved from the two satellites' observations. GMS-5/SVISSR-retrieved COD appeared mostly lower than that of Terra-MODIS. To understand the origin of such differences, an identification procedure of the major factors likely to affect these data is conducted. Some of these factors were the satellite viewing and solar conditions, the cloud thermodynamic phase differentiation and particle effective radius, and the cloud inhomogeneity. Then emphasis was put on the examination of the latter effect (i.e., the cloud inhomogeneity). The analysis procedure was as follows: First, data having close-viewing geometries between both satellites were selected and used to understand the effects of the remaining factors. Among these, the cloud thermodynamic phase appeared to play the major role as analyses showed that most of the COD differences between both satellites were confined within ice clouds while warm clouds had the least discrepancies. This would suggest that the choice of a water cloud particle radiative transfer model to analyze a 2-phase cloud radiation data, as used here, may produce large uncertainties in ice COD retrievals from at least one of the satellites. To avoid the cloud phase problem, a more restrictive data set comprising only water clouds (besides close-viewing geometries between both satellites) was selected, and the impact of the degree of cloud inhomogeneity on the COD retrievals was evaluated. The study reveals that the 3-D radiative effects deriving from the external cloud inhomogeneity, i.e., cloud asymmetry and structured sides, were the most influencing properties here. The GMS-5/SVISSR interpretation of inhomogeneous cloud optical properties showed larger uncertainties than that of Terra-MODIS. Furthermore, COD values of GMS-5/SVISSR were systematically lower than those of Terra-MODIS for the pixels at shadow sides of the cloud, while at illuminated sides they often showed higher values. For gentle or near-plane-parallel cloud surfaces, fewer discrepancies were noticed (the best agreement between both satellites' retrievals). At steep slopes of the shadow and illuminated cloud sides, GMS-5/SVISSR average COD data were respectively under- and overestimated compared to those of Terra-MODIS. COD differences between the two satellites could be sometimes higher than 30% for slopes steeper than 0.5 K/km.
机译:大气与云之间的太阳辐射交换分析对于理解气候过程和循环至关重要。为了阐明大气成分(云,气溶胶,气体等)的辐射行为或验证特定卫星的数据,比较卫星到卫星或卫星到地面真相的观测是全球通用的做法。辐射调查。为了评估源自对地静止气象卫星5 /拉伸可见可见自旋扫描辐射计(GMS-5 / SVISSR)的云光学性质的质量,使用了前一程序(卫星与卫星的比较)。将来自GMS-5 / SVISSR卫星的数据与来自极地轨道Terra-中等分辨率成像光谱仪(Terra-MODIS)的数据进行了比较。这次比较表明,从两颗卫星的观测中获得的云光学深度(COD)数据之间存在严重差异。回收的GMS-5 / SVISSR的COD大多低于Terra-MODIS。为了了解这种差异的起源,对可能影响这些数据的主要因素进行了识别程序。其中一些因素是卫星视线和太阳条件,云的热力学相差和粒子有效半径以及云的不均匀性。然后重点放在检查后一种效应(即云不均匀性)上。分析过程如下:首先,选择两颗卫星之间具有近视几何形状的数据,并将其用于了解其余因素的影响。其中,云的热力学阶段似乎起了主要作用,因为分析表明,两颗卫星之间的大多数COD差异都被限制在冰云之内,而暖云的差异最小。这表明,此处使用的水云粒子辐射传输模型的选择来分析两相云辐射数据可能会在从至少一颗卫星中获取冰COD的过程中产生很大的不确定性。为了避免云相位问题,选择了一个更严格的数据集,该数据集仅包含水云(除了两个卫星之间的近视几何结构),并且评估了云的不均匀度对COD取回的影响。研究表明,外部云的不均匀性(即云的不对称性和结构化侧面)产生的3-D辐射效应是此处影响最大的属性。 GMS-5 / SVISSR对非均匀云层光学特性的解释显示出比Terra-MODIS更大的不确定性。此外,对于云阴影侧的像素,GMS-5 / SVISSR的COD值系统地低于Terra-MODIS的COD值,而在光照侧的像素通常显示较高的值。对于平缓或接近平面平行的云层,观测到的差异较小(两颗卫星的检索之间的最佳一致性)。与Terra-MODIS相比,在阴影和照云侧的陡坡上,GMS-5 / SVISSR平均COD数据分别被低估和高估了。对于倾斜超过0.5 K / km的坡度,两颗卫星之间的COD差异有时可能会超过30%。

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