English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  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., et al. (2016). The STRatospheric Estimation Algorithm from Mainz (STREAM): estimating stratospheric NO2 from nadir-viewing satellites by weighted convolution. Atmospheric Measurement Techniques Discussions, 9.

Item is

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Beirle, S.1, Author           
Hörmann, C.1, Author           
Jöckel, Patrick2, Author
Liu, Song2, Author
Penning de Vries, M.1, Author           
Pozzer, A.3, Author           
Sihler, H.1, Author           
Valks, Pieter2, Author
Wagner, T.1, Author           
Affiliations:
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              

Content

show
hide
Free keywords: -
 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 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.

Details

show
hide
Language(s): eng - English
 Dates: 2016
 Publication Status: Issued
 Pages: 46
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.5194/amt-2015-405
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Atmospheric Measurement Techniques Discussions
  Other : Atmos. Meas. Tech. Discuss.
  Abbreviation : AMTD
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Katlenburg-Lindau : Copernicus
Pages: 46 Volume / Issue: 9 Sequence Number: - Start / End Page: - Identifier: Other: 1867-8610
CoNE: https://pure.mpg.de/cone/journals/resource/1867-8610