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Version 4 CALIPSO IIR ice and liquid water cloud microphysical properties, Part II: results over oceans
Atmospheric Measurement Techniques ( IF 3.2 ) Pub Date : 2020-11-09 , DOI: 10.5194/amt-2020-388
Anne Garnier , Jacques Pelon , Nicolas Pascal , Mark A. Vaughan , Philippe Dubuisson , Ping Yang , David L. Mitchell

Abstract. Following the release of the Version 4 Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) data products from Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) mission, a new version 4 (V4) of the CALIPSO Imaging Infrared Radiometer (IIR) Level 2 data products has been developed. The IIR Level 2 data products include cloud effective emissivities and cloud microphysical properties such as effective diameter (De) and ice or liquid water path estimates. This paper (Part II) shows retrievals over ocean and describes the improvements made with respect to version (V3) as a result of the significant changes implemented in the V4 algorithms, which are presented in a companion paper (Part I). The analysis of the three-channel IIR observations (08.65 μm, 10.6 μm, and 12.05 μm) is informed by the scene classification provided in the V4 CALIOP 5-km cloud layer and aerosol layer products. Thanks to the reduction of inter-channel effective emissivity biases in semi-transparent (ST) clouds when the oceanic background radiance is derived from model computations, the number of unbiased emissivity retrievals is increased by a factor 3 in V4. In V3, these biases caused inconsistencies between the effective diameters retrieved from the 12/10 and 12/08 pairs of channels at emissivities smaller than 0.5. In V4, microphysical retrievals in ST ice clouds are possible in more than 80 % of the pixels down to effective emissivities of 0.05 (or visible optical depth ~ 0.1). For the month of January 2008 chosen to illustrate the results, median ice De and ice water path (IWP) are, respectively, 38 µm and 3 g⋅m−2 in ST clouds, with random uncertainty estimates of 50 %. The relationship between the V4 IIR 12/10 and 12/08 microphysical indices is in better agreement with the severely roughened single column ice crystal model than with the severely roughened 8-element aggregate model for 80 % of the pixels in the coldest clouds ( 230 K). Retrievals in opaque ice clouds are improved in V4, especially at night and for 12/10 pair of channels, owing to corrections of the V3 radiative temperature estimates derived from CALIOP geometric altitudes. Median ice De and IWP are 58 µm and 97 g⋅m−2 at night in opaque clouds, with again random uncertainty estimates of 50 %. Comparisons of ice retrievals with Aqua/Moderate Resolution Imaging Spectroradiometer (MODIS) in the tropics show a better agreement of IIR De with MODIS visible/3.7 µm than with MODIS visible/2.1 µm in the coldest ST clouds and the opposite for opaque clouds. In prevailingly supercooled liquid water clouds with centroid altitudes above 4 km, retrieved median De and liquid water path are 13 µm and 3.4 g.m−2 in ST clouds, with estimated random uncertainties of 45 % and 35 % respectively. In opaque liquid clouds, these values are 18 µm and 31 g.m−2 at night, with estimated uncertainties of 50 %. IIR De in opaque liquid clouds is smaller than MODIS visible/2.1 and visible/3.7 by 8 µm and 3 µm, respectively.

中文翻译:

第4版CALIPSO IIR冰和液态水云的微物理特性,第二部分:海洋的结果

摘要。继Cloud-Aerosol Lidar和红外探路者卫星观测(CALIPSO)任务发布的具有正交偏振(CALIOP)数据产品的第4版之后,CALIPSO成像红外辐射仪(IIR)的新版本4(V4)出现了。已经开发了2级数据产品。IIR 2级数据产品包括云有效发射率和云微物理特性,例如有效直径(D e)和冰或液态水路径估算。本文(第二部分)展示了对海洋的检索,并描述了由于在V4算法中实现的重大更改而对版本(V3)所做的改进,这些改进在随附的论文中进行了介绍(第一部分)。V4 CALIOP 5公里云层和气溶胶层产品提供了场景分类,可对三通道IIR观测值(08.65μm,10.6μm和12.05μm)进行分析。当通过模型计算得出海洋背景辐射率时,由于减少了半透明(ST)云中的通道间有效发射率偏差,无偏发射率检索的数量在V4中增加了3倍。在V3中 这些偏差导致以小于0.5的发射率从12/10和12/08对通道检索的有效直径之间不一致。在V4中,可以在80%以上的像素中对ST冰云进行微物理检索,直至有效发射率为0.05(或可见光深度〜0.1)。对于选择用来说明结果的2008年1月,冰中值D在ST云中e和冰水路径(IWP)分别为38 µm和3g⋅m -2,随机不确定性估计为50%。对于最冷云中80%的像素,V4 IIR 12/10和12/08微物理指标之间的关系与严重粗糙化的单列冰晶模型比与严重粗糙化的8元素聚集模型之间的关系更好。K)。由于对CALIOP几何高度得出的V3辐射温度估算值进行了校正,因此V4中不透明冰云的检索得到了改进,尤其是在夜间和12/10对通道中。冰的中值D e和IWP为58 µm和97g⋅m -2晚上在不透明的云层中,随机不确定性再次达到50%。在热带地区,使用Aqua /中等分辨率成像光谱仪(MODIS)对冰的取冰进行比较,结果表明,在最冷的ST云中,IRD e与MODIS可见/3.7 µm的IIR D e的一致性好于MODIS可见/2.1 µm,而对不透明云的反差更好。在质心高度超过4 km的普遍过冷液态水云中,ST云的中值D e和液态水路径的中值分别为13 µm和3.4 gm -2,估计随机不确定度分别为45%和35%。在不透明的液态云中,这些值在晚上分别为18 µm和31 gm -2,估计不确定度为50%。IIR d è 不透明的液态云中的大气分别比MODIS可见光/2.1和可见光/3.7小8 µm和3 µm。
更新日期:2020-11-09
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