Beirle, S. and Hörmann, Christoph and Jöckel, Patrick and Liu, Song and Penning de Vries, M. and Pozzer, A. and Sihler, H. and Valks, Pieter and Wagner, T. (2016) The STRatospheric Estimation Algorithm from Mainz (STREAM): estimating stratospheric NO2 from nadir-viewing satellites by weighted convolution. Atmospheric Measurement Techniques (AMT), 9, pp. 2753-2779. Copernicus Publications. doi: 10.5194/amt-9-2753-2016. ISSN 1867-1381.
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Official URL: http://www.atmos-meas-tech.net/9/2753/2016/amt-9-2753-2016.pdf
Abstract
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 verification algorithm for the upcoming satellite instrument TROPOMI, as 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 artefacts 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 0.1–0.2 × 1015 molecules cm−2, in accordance to the typical deviations between stratospheric estimates from different algorithms compared in this study.
Item URL in elib: | https://elib.dlr.de/103673/ | ||||||||||||||||||||||||||||||
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Document Type: | Article | ||||||||||||||||||||||||||||||
Title: | The STRatospheric Estimation Algorithm from Mainz (STREAM): estimating stratospheric NO2 from nadir-viewing satellites by weighted convolution | ||||||||||||||||||||||||||||||
Authors: |
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Date: | July 2016 | ||||||||||||||||||||||||||||||
Journal or Publication Title: | Atmospheric Measurement Techniques (AMT) | ||||||||||||||||||||||||||||||
Refereed publication: | Yes | ||||||||||||||||||||||||||||||
Open Access: | Yes | ||||||||||||||||||||||||||||||
Gold Open Access: | Yes | ||||||||||||||||||||||||||||||
In SCOPUS: | Yes | ||||||||||||||||||||||||||||||
In ISI Web of Science: | Yes | ||||||||||||||||||||||||||||||
Volume: | 9 | ||||||||||||||||||||||||||||||
DOI: | 10.5194/amt-9-2753-2016 | ||||||||||||||||||||||||||||||
Page Range: | pp. 2753-2779 | ||||||||||||||||||||||||||||||
Publisher: | Copernicus Publications | ||||||||||||||||||||||||||||||
ISSN: | 1867-1381 | ||||||||||||||||||||||||||||||
Status: | Published | ||||||||||||||||||||||||||||||
Keywords: | satellite, stratosphere, NO2, TROPOMI | ||||||||||||||||||||||||||||||
HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||||||||||||||||
HGF - Program: | Space | ||||||||||||||||||||||||||||||
HGF - Program Themes: | Earth Observation | ||||||||||||||||||||||||||||||
DLR - Research area: | Raumfahrt | ||||||||||||||||||||||||||||||
DLR - Program: | R EO - Earth Observation | ||||||||||||||||||||||||||||||
DLR - Research theme (Project): | R - Vorhaben Ozon-SAF (old), R - Atmospheric and climate research | ||||||||||||||||||||||||||||||
Location: | Oberpfaffenhofen | ||||||||||||||||||||||||||||||
Institutes and Institutions: | Remote Sensing Technology Institute > Atmospheric Processors Institute of Atmospheric Physics > Earth System Modelling | ||||||||||||||||||||||||||||||
Deposited By: | Valks, Dr. Pieter | ||||||||||||||||||||||||||||||
Deposited On: | 31 Mar 2016 14:34 | ||||||||||||||||||||||||||||||
Last Modified: | 08 Mar 2018 18:10 |
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