DOI: 10.1175/JCLI-D-16-0704.1
Scopus记录号: 2-s2.0-85019083569
论文题名: Spectrally dependent CLARREO infrared spectrometer calibration requirement for climate change detection
作者: Liu X. ; Wu W. ; Wielicki B.A. ; Yang Q. ; Kizer S.H. ; Huang X. ; Chen X. ; Kato S. ; Shea Y.L. ; Mlynczak M.G.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2017
卷: 30, 期: 11 起始页码: 3979
结束页码: 3998
语种: 英语
Scopus关键词: Atmospheric temperature
; Atmospheric thermodynamics
; Calibration
; Carbon dioxide
; Climate models
; Moisture
; Orbits
; Temperature
; Water vapor
; Weather forecasting
; Climate model simulations
; Climate variability
; European centre for medium-range weather forecasts
; Reanalysis
; Research and application
; Satellite observations
; Spectrometer calibrations
; Statistical techniques
; Climate change
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 0.06 K (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. © 2017 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/48886
Appears in Collections: 气候变化与战略
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作者单位: NASA Langley Research Center, Hampton, VA, United States; Science Systems and Applications, Inc., Hampton, VA, United States; Department of Climate and Space Sciences and Engineering, University of Michigan, Ann Arbor, MI, United States
Recommended Citation:
Liu X.,Wu W.,Wielicki B.A.,et al. Spectrally dependent CLARREO infrared spectrometer calibration requirement for climate change detection[J]. Journal of Climate,2017-01-01,30(11)