Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1175/JCLI-D-16-0704.1 |
Spectrally Dependent CLARREO Infrared Spectrometer Calibration Requirement for Climate Change Detection | |
Liu, Xu1; Wu, Wan2; Wielicki, Bruce A.1; Yang, Qiguang2; Kizer, Susan H.2; Huang, Xianglei3; Chen, Xiuhong3; Kato, Seiji1; Shea, Yolanda L.1; Mlynczak, Martin G.1 | |
2017-06-01 | |
发表期刊 | JOURNAL OF CLIMATE
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ISSN | 0894-8755 |
EISSN | 1520-0442 |
出版年 | 2017 |
卷号 | 30期号:11 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | Detecting climate trends of atmospheric temperature, moisture, cloud, and surface temperature requires accurately calibrated satellite instruments such as the Climate Absolute Radiance and Refractivity Observatory (CLARREO). Previous studies have evaluated the CLARREO measurement requirements for achieving climate change accuracy goals in orbit. The present study further quantifies the spectrally dependent IR instrument calibration requirement for detecting trends of atmospheric temperature and moisture profiles. The temperature, water vapor, and surface skin temperature variability and the associated correlation time are derived using the Modern-Era Retrospective Analysis for Research and Applications (MERRA) and European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis data. The results are further validated using climate model simulation results. With the derived natural variability as the reference, the calibration requirement is established by carrying out a simulation study for CLARREO observations of various atmospheric states under all-sky conditions. A 0.04-K (k = 2; 95% confidence) radiometric calibration requirement baseline is derived using a spectral fingerprinting method. It is also demonstrated that the requirement is spectrally dependent and that some spectral regions can be relaxed as a result of the hyperspectral nature of the CLARREO instrument. Relaxing the requirement to 0.06K (k = 2) is discussed further based on the uncertainties associated with the temperature and water vapor natural variability and relatively small delay in the time to detect for trends relative to the baseline case. The methodology used in this study can be extended to other parameters (such as clouds and CO2) and other instrument configurations. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000401007500003 |
WOS关键词 | RADIATIVE-TRANSFER MODEL ; SURFACE HUMIDITY ; SOLAR SIGNAL ; WATER-VAPOR ; SIMULATION ; TRENDS ; ENSO ; ATTRIBUTION ; VOLCANOS |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/20380 |
专题 | 气候变化 |
作者单位 | 1.NASA, Langley Res Ctr, Hampton, VA 23665 USA; 2.Sci Syst & Applicat Inc, Hampton, VA USA; 3.Univ Michigan, Dept Climate & Space Sci & Engn, Ann Arbor, MI 48109 USA |
推荐引用方式 GB/T 7714 | Liu, Xu,Wu, Wan,Wielicki, Bruce A.,et al. Spectrally Dependent CLARREO Infrared Spectrometer Calibration Requirement for Climate Change Detection[J]. JOURNAL OF CLIMATE,2017,30(11). |
APA | Liu, Xu.,Wu, Wan.,Wielicki, Bruce A..,Yang, Qiguang.,Kizer, Susan H..,...&Mlynczak, Martin G..(2017).Spectrally Dependent CLARREO Infrared Spectrometer Calibration Requirement for Climate Change Detection.JOURNAL OF CLIMATE,30(11). |
MLA | Liu, Xu,et al."Spectrally Dependent CLARREO Infrared Spectrometer Calibration Requirement for Climate Change Detection".JOURNAL OF CLIMATE 30.11(2017). |
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