PREFIRE测量的模拟晴空水汽和温度反演

IF 1.9 4区 地球科学 Q2 ENGINEERING, OCEAN
N. B. Miller, A. Merrelli, T. L’Ecuyer, B. Drouin
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引用次数: 0

摘要

远红外实验(PREFIRE)任务中的极地辐射能将测量地球在3-54µm波长范围内的发射。发射前的晴朗天空检索算法,通过模拟测试数据进行评估,表明PREFIRE测量对于检索大气水蒸气和温度剖面将是有价值的。远红外测量提供了独特的检索信息,这由作为信号总自由度(DFS)的主要贡献者的选择FIR通道的高等级所指示。在利用所有PREFIRE通道时,4个测试区域的平均总DFS在1.90-4.71之间。信息含量随着柱水蒸气的增加和近表面温度反转的存在而增加。使用DFS配置文件作为指导,检索将信息集中到7个不同的层中,以降低每层的检索不确定性。灵敏度测试表明,由于表面发射率不确定性导致的正向模型误差导致柱水蒸气不确定性增加约9%。晴朗的天空检索对未被探测到的冰云的存在很敏感,尤其是那些光学深度大于0.2的冰云。因此,除了单独的PREFIRE云掩码之外,还探索了最佳估计检索度量作为多云场景的可能指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulated Clear-Sky Water Vapor and Temperature Retrievals from PREFIRE Measurements
The Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) mission will measure the Earth’s emission at wavelengths ranging from 3-54 µm. The pre-launch clear-sky retrieval algorithm, evaluated with simulated test data, indicates that PREFIRE measurements will be valuable for retrieving atmospheric water vapor and temperature profiles. Far infrared measurements provide unique retrieval information, indicated by the high ranking of select FIR channels as primary contributors to the total degrees of freedom for signal (DFS). In utilizing all the PREFIRE channels, the average total DFS of 4 test regions ranges from 1.90 - 4.71. The information content increases with higher column water vapor and in the presence of near surface temperature inversions. Using the DFS profiles for guidance, the retrieval concentrates information into 7 distinct layers to reduce the retrieval uncertainty per layer. Sensitivity tests indicate forward model error due to surface emissivity uncertainty results in about a 9% increase in column water vapor uncertainty. The clear-sky retrieval is sensitive to the presence of undetected ice clouds, especially those with optical depths larger than 0.2. Hence, in addition to a separate PREFIRE cloud mask, optimal estimation retrieval metrics are explored as possible indicators of cloudy scenes.
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来源期刊
CiteScore
4.50
自引率
9.10%
发文量
135
审稿时长
3 months
期刊介绍: The Journal of Atmospheric and Oceanic Technology (JTECH) publishes research describing instrumentation and methods used in atmospheric and oceanic research, including remote sensing instruments; measurements, validation, and data analysis techniques from satellites, aircraft, balloons, and surface-based platforms; in situ instruments, measurements, and methods for data acquisition, analysis, and interpretation and assimilation in numerical models; and information systems and algorithms.
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