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Improving middle and high latitude cloud liquid water path measurements from MODIS

机译：从MODIS改善中高纬度云液体水路测量

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摘要

Three years of measurements from the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument on Aqua satellite has been used to develop a new approach to quantify the well-known, yet unresolved zonal bias in MODIS LWP of marine clouds. This new method utilizes two parameters: the solar zenith angle and cloud heterogeneity index, both of which are available for each MODIS pixel. Comparisons with collocated satellite and ground-based microwave measurements in carefully screened clouds shows that this new approach can effectively remove this large first order MODIS LWP bias. Applying this new approach to MODIS pixel level data collocated along the CloudSat footprint suggests annually averaged MODIS LWP overestimation gradually increases at higher latitudes and can reach over 50 g/m(2) at latitudes greater than around 50. This overestimation can exceed 100 g/m(2) for seasonal or monthly averages. MODIS LWP measurements were also reprocessed over land and snow/ice regions by eliminating data points with optical depth of 150, which indicates significant 3D bias. This reduces the average LWP by over 100 g/m(2) in polar regions. The new and improved MODIS LWP dataset can be used to study related cloud processes and to constrain model simulations, especially in polar regions where observational dataset is limited and contain large uncertainties.
机译：在Aqua卫星上的适度分辨率成像光谱仪（MODIS）仪器中的三年测量已被用来开发一种新方法来量化Modis LWP的众所周知的尚未解决的海洋云中的区域偏差。这种新方法利用了两个参数：太阳能天顶角和云异质性指数，两者都可用于每个MODIS像素。在精心筛选的云中与配套卫星和地面微波测量的比较表明，这种新方法可以有效地消除这一大型第一阶MODIS LWP偏差。将这种新方法应用于沿着CloudSAT占地面积的MODIS像素级别数据表明，每年平均的MODIS LWP高估逐渐增加在较高纬度上，并且可以在大于50左右的纬度达到超过50g / m（2）。这种高估可以超过100克/ M（2）用于季节性或每月平均值。通过消除光学深度为150的数据点，MODIS LWP测量也通过陆地和雪/冰区域进行了再加工，这表明了显着的3D偏差。这将平均LWP在极地区域中减少了超过100g / m（2）。新的和改进的MODIS LWP数据集可用于研究相关的云流程并限制模型模拟，尤其是在观察数据集有限的极地区域中，包含大的不确定性。

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  • 来源
    《Atmospheric research》 |2020年第10期|105033.1-105033.9|共9页
  • 作者

    Khanal Sujan; Wang Zhien; French Jeffrey R.;

  • 作者单位

    Univ Wyoming Dept Atmospher Sci Laramie WY 82071 USA;

    Univ Wyoming Dept Atmospher Sci Laramie WY 82071 USA|Univ Colorado Lab Atmospher & Space Phys Boulder CO 80309 USA|Univ Colorado Dept Atmospher & Ocean Sci Boulder CO 80309 USA;

    Univ Wyoming Dept Atmospher Sci Laramie WY 82071 USA;

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