Quantification of NOx point sources from the TROPOspheric Monitoring Instrument (TROPOMI)

We detect and quantify NOx point sources from the divergence of the horizontal NOx flux based on the continuity equation.

The analysis steps are:

- The NOx flux is determined for each TROPOMI (TROPOspheric Monitoring Instrument) orbit by upscaling the TROPOMI tropospheric NO2 column to NOx and multiplying it with horizontal wind fields from ECMWF (300m above ground).

- The NOx fluxes are averaged for 2018-2019.

- The divergence, i.e. spatial derivative, of the mean NOx flux is calculated, which is particularly sensitive for point sources.

- NOx point sources are detected in the divergence map by an automated search algorithm for local maxima, and quantified by fitting a Gaussian function to these maxima. Ambiguous cases are skipped.

TROPOMI is the satellite instrument on board of the Copernicus Sentinel-5 Precursor satellite.

The approach of deriving emission information from the divergence of the NOx flux is described in Beirle et al., 2019:

Beirle, S., Borger, C., Dörner, S., Li, A., Hu, Z., Liu, F., Wang, Y. and Wagner, T.: Pinpointing nitrogen oxide emissions from space, Science Advances, 5(11), eaax9800, doi:10.1126/sciadv.aax9800, 2019.

The details and modifications made for the automated detection of NOx point sources on global scale are provided in Beirle et al., 2020:

Beirle, S., Borger, C., Dörner, S., Eskes, H., Kumar, V., de Laat, A., and Wagner, T.: Catalog of NOx emissions from point sources as derived from the divergence of the NO2 flux for TROPOMI, to be submitted to Earth System Science Data, 2020.

 
Citation proposal
(2020) . Quantification of NOx point sources from the TROPOspheric Monitoring Instrument (TROPOMI). https://gdk.gdi-de.org/geonetwork/srv/api/records/wdc-climate.de:3880364
 

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File identifier
wdc-climate.de:3880364   XML
Hierarchy level
collection collection
Online resource
Resource identifier
code
Quant_NOx_TROPOMI
code
doi:10.26050/WDCC/Quant_NOx_TROPOMI
Metadata language
eng; USA
Encoding
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CSV
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Classification of data and services

Coupled resource
Coupled resource
 
 

Classification of data and services

Coupled resource
Coupled resource
 
 

Keywords

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Keywords
  • NOx emissions from power plants
Keywords
  • TROPOMI
 
 

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N
S
E
W


 

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Date ( Publication )
2020-09-17
 

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Conformity
 

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Organisation name
Max-Planck-Institute for Chemistry
 

Responsible organization (s)

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Organisation name
Max-Planck-Institute for Chemistry
 

Metadata information

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Organisation name
Max-Planck-Institute for Chemistry
Organisation name
Max-Planck-Institute for Chemistry
Date stamp
2020-08-14T15:22:07
Metadata language
eng; USA
 
 

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Conformance class 1: invocable

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Conformance class 3: harmonized

 
 

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