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首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >Fusion of MISR Stereo Cloud Heights and Terra‐MODIS Thermal Infrared Radiances to Estimate Two‐Layered Cloud Properties
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Fusion of MISR Stereo Cloud Heights and Terra‐MODIS Thermal Infrared Radiances to Estimate Two‐Layered Cloud Properties

机译:Fusion of MISR Stereo Cloud Heights and Terra‐MODIS Thermal Infrared Radiances to Estimate Two‐Layered Cloud Properties

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Abstract Our longest, stable record of cloud‐top pressure (CTP) and cloud‐top height (CTH) are derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) and Multi‐Angle Imaging Spectroradiometer (MISR) on Terra. Because of single cloud‐layer assumptions in their standard algorithms, they provide only single CTP/CTH retrievals in multi‐layered situations. In the predominant multi‐layered regime of thin cirrus over low clouds, MODIS significantly overestimates cirrus CTP and emissivity, while MISR accurately retrieves low‐cloud CTH. Utilizing these complementary capabilities, we develop a retrieval algorithm for accurately determining both‐layer CTP and cirrus emissivity for such 2‐layered clouds, by applying the MISR low‐cloud CTH as a boundary condition to a modified MODIS CO2‐slicing retrieval. We evaluate our 2‐layered retrievals against collocated Cloud‐Aerosol Transport System (CATS) lidar observations. Relative to CATS, the mean bias of the upper cloud CTP and emissivity are reduced by ∼90% and ∼75% respectively in the new technique, compared to standard MODIS products. We develop an error model for the 2‐layered retrieval accounting for systematic and random errors. We find up to 87% of all residuals lie within modeled 95% confidence intervals, indicating a near‐closure of error budget. This reduction in error leads to a reduction in modeled atmospheric longwave radiative flux biases ranging between 5 and 40 W m−2, depending on the position and optical properties of the layers. Given this large radiative impact, we recommend that the pixel‐level 2‐layered MODIS + MISR fusion algorithm be applied over the entire MISR swath for the 22‐year Terra record, leading to a first‐of‐its‐kind 2‐layered cloud climatology from Terra's morning orbit.
机译:文摘最长,稳定的云检测记录压力(CTP)和云顶高度(车车)来自中分辨率成像光谱仪(MODIS)和多角成像在Terra光谱仪(MISR)。单一的云检测层标准的假设算法,他们只提供单一的CTP /车车在多人分层情况下检索。主要多人分层政权的薄卷云在低云层,MODIS显著高估了卷CTP和发射率,同时多角度准确检索云车车低所致。我们利用这些互补功能,开发一个精确的检索算法确定两层CTP和卷云发射率等2高分层云在运用多角度成像低的云车车作为边界条件修改MODIS二氧化碳量切片检索。我们的2对集中的分层检索云检测气溶胶传输系统(猫)激光雷达观察。上云CTP和发射率降低和∼∼90%和75%分别在新技术,相对于标准MODIS产品。2错误模型的分层检索占系统误差和随机误差。发现87%的所有残差在撒谎建模的95%置信区间,表明在关闭错误的预算。错误会导致减少大气建模长波辐射通量之间的偏见等5和40 W m−2,这取决于位置和光学性质的层。大辐射的影响,我们建议像素高2级分层MODIS + MISR融合算法被应用在整个MISR片22年Terra的记录,导致其第一优先车道检测2层状云应承担的气候学早上从地球的轨道。

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