کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7224389 | 1470569 | 2018 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A priori estimation for spectral shift of atmospheric carbon dioxide satellite measurement
ترجمه فارسی عنوان
برآورد اولیه برای تغییر طیفی اندازه گیری ماهواره دی اکسید کربن اتمسفر
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کلمات کلیدی
تغییر طیفی، تصحیح، اطلاعات پیشین، خط مرجع، هسته کوانتومی،
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی (عمومی)
چکیده انگلیسی
Atmospheric carbon dioxide (CO2) satellite measurements need high spectral resolution and high signal-to-noise (SNR) to achieve high precision of 1% or better. However, measurements with high spectral resolution are suffered to spectral shift and channel mismatch is inevitable, which will causes CO2 retrieval error. For spectral shift correction, a priori information of wavenumber offset is important. We build the spectral shift model with correction factors composed of wavenumber squeeze and offset, designed the method of estimating the a priori information of wavenumber offset through convolution kernel, and developed the retrieval method of correction factors based on a priori information. The ability of estimating wavenumber offset a priori is most stable for 0.27â¯cmâ1 convolution kernel, which can accurately find the reference line from GOSAT 1 September 2013 global measurements with SNR larger than 100 and without cloud contamination. Based on a priori information, correction factors retrieval precision is better, and RMS is reduced nearly by 85% for twelve days of global GOSAT measurements, implying better agreement between the simulated spectra and GOSAT. This technique can be applied to other high spectral resolution measurements, such as OCO-2, TanSat, GMI and so on.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Optik - Volume 158, April 2018, Pages 283-290
Journal: Optik - Volume 158, April 2018, Pages 283-290
نویسندگان
Hanhan Ye, Xianhua Wang, Jun Wu, Yun Jiang,