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  The STRatospheric Estimation Algorithm from Mainz (STREAM): estimating stratospheric NO2 from nadir-viewing satellites by weighted convolution

Beirle, S., Hörmann, C., Jöckel, P., Liu, S., Penning de Vries, M., Pozzer, A., Sihler, H., Valks, P., & Wagner, T. (2016). The STRatospheric Estimation Algorithm from Mainz (STREAM): estimating stratospheric NO2 from nadir-viewing satellites by weighted convolution. Atmospheric Measurement Techniques, 9(7), 2753-2779. doi:10.5194/amt-9-2753-2016.

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資料種別: 学術論文

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 作成者:
Beirle, S.1, 著者           
Hörmann, C.1, 著者           
Jöckel, Patrick2, 著者
Liu, Song2, 著者
Penning de Vries, M.1, 著者           
Pozzer, A.3, 著者           
Sihler, H.1, 著者           
Valks, Pieter2, 著者
Wagner, T.1, 著者           
所属:
1Satellite Remote Sensing, Max Planck Institute for Chemistry, Max Planck Society, ou_1826293              
2external, ou_persistent22              
3Atmospheric Chemistry, Max Planck Institute for Chemistry, Max Planck Society, ou_1826285              

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 要旨: The STRatospheric Estimation Algorithm from Mainz (STREAM) determines stratospheric columns of NO2 which are needed for the retrieval of tropospheric columns from satellite observations. It is based on the total column measurements over clean, remote regions as well as over clouded scenes where the tropospheric column is effectively shielded. The contribution of individual satellite measurements to the stratospheric estimate is controlled by various weighting factors. STREAM is a flexible and robust algorithm and does not require input from chemical transport models. It was developed as a verification algorithm for the upcoming satellite instrument TROPOMI, as a complement to the operational stratospheric correction based on data assimilation. STREAM was successfully applied to the UV/vis satellite instruments GOME 1/2, SCIAMACHY, and OMI. It overcomes some of the artifacts of previous algorithms, as it is capable of reproducing gradients of stratospheric NO2, e.g., related to the polar vortex, and reduces interpolation errors over continents. Based on synthetic input data, the uncertainty of STREAM was quantified as about 0.1-0.2aEuro-xaEuro-10(15)aEuro-moleculesaEuro-cm(-2), in accordance with the typical deviations between stratospheric estimates from different algorithms compared in this study.

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 日付: 2016
 出版の状態: 出版
 ページ: -
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 識別子(DOI, ISBNなど): ISI: 000379417200001
DOI: 10.5194/amt-9-2753-2016
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出版物 1

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出版物名: Atmospheric Measurement Techniques
  省略形 : AMT
種別: 学術雑誌
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出版社, 出版地: Göttingen : European Geosciences Union, Copernicus
ページ: - 巻号: 9 (7) 通巻号: - 開始・終了ページ: 2753 - 2779 識別子(ISBN, ISSN, DOIなど): その他: 1867-1381
CoNE: https://pure.mpg.de/cone/journals/resource/1867-1381