NO2 climatology in the northern subtropical region: diurnal, seasonal and interannual variability

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Title: NO2 climatology in the northern subtropical region: diurnal, seasonal and interannual variability
Authors: Gil-Ojeda, Manuel, Yela González, Margarita, Gunn, Lara N., Richter, Andreas, Alonso, I., Chipperfield, Martyn P., Cuevas Agulló, Emilio, Iglesias, Javier, Navarro Comas, Mónica, Puentedura, Olga, Rodríguez González, Sergio
Contributors: EGU, Publication
Source: ARCIMIS. Archivo Climatológico y Meteorológico Institucional (AEMET)
Agencia Estatal de Meteorología (AEMET)
Atmospheric Chemistry and Physics, Vol 8, Iss 6, Pp 1635-1648 (2008)
Publisher Information: Copernicus GmbH, 2007.
Publication Year: 2007
Subject Terms: Vertical column density, Chemistry, [SDU.OCEAN] Sciences of the Universe [physics]/Ocean, Atmosphere, 13. Climate action, Physics, QC1-999, NO2 variability, Dióxido de nitrógeno, QD1-999, 01 natural sciences, Spectroscopy, Espectrómetros, 0105 earth and related environmental sciences
Description: Daily NO2 vertical column density (VCD) has been routinely measured by zenith sky spectroscopy at the subtropical station of Izaña (28° N, 16° W) since 1993 in the framework of the Network for the Detection of Atmospheric Composition Change (NDACC). Based on 14 years of data the first low latitudes NO2 VCD climatology has been established and the main characteristics from short scales of one day to inter-annual variability are presented. Instrumental descriptions and different source of errors are described in detail. The observed diurnal cycle follows that expected by gas-phase NOx chemistry, as can be shown by the good agreement with a vertically integrated chemical box model, and is modulated by solar radiation. The seasonal evolution departs from the phase of the hours of daylight, showing the signature of upper stratospheric temperature changes. From the data record no significant long-term trends in NO2 VCD can be inferred. Comparison of the ground-based data sets with nadir looking satellite spectrometers shows excellent agreement for SCIAMACHY with differences between both datasets of 1.1%. GOME displays unrealistic features with largest discrepancies during summer. The ground-based data are compared with long-term output of the SLIMCAT 3-D chemical transport model (CTM). The basic model, forced by ECMWF (ERA-40) analyses, captures the observed NO2 annual cycle but significantly underestimates the spring/summer maximum. In a model run which uses assimilation of satellite CH4 profiles to constrain the model long-lived tracers the agreement is significantly improved. This improvement in modelled column NO2 is due to better modelled NOy profiles and points to transport errors in the ECMWF ERA-40 reanalyses.
Document Type: Article
Other literature type
File Description: application/pdf
ISSN: 1680-7324
DOI: 10.5194/acpd-7-15067-2007
DOI: 10.5194/acp-8-1635-2008
Access URL: https://www.atmos-chem-phys.net/8/1635/2008/acp-8-1635-2008.pdf
http://hdl.handle.net/20.500.11765/392
https://acp.copernicus.org/articles/8/1635/2008/
https://doaj.org/article/c0245885ea43459492b3da3dc5aa89ae
http://www.atmos-chem-phys.net/8/1635/2008/acp-8-1635-2008.pdf
https://acp.copernicus.org/articles/8/1635/2008/acp-8-1635-2008.pdf
http://ui.adsabs.harvard.edu/abs/2008ACP.....8.1635G/abstract
https://noa.gwlb.de/receive/cop_mods_00048272
https://hal.archives-ouvertes.fr/hal-00296495
https://acp.copernicus.org/articles/8/1635/2008/
https://hal.science/hal-00303960v1
https://hal.science/hal-00296495v1
Rights: CC BY
Accession Number: edsair.doi.dedup.....32694d5a1223b35f60b50fa538f31fda
Database: OpenAIRE
Description
Abstract:Daily NO2 vertical column density (VCD) has been routinely measured by zenith sky spectroscopy at the subtropical station of Izaña (28° N, 16° W) since 1993 in the framework of the Network for the Detection of Atmospheric Composition Change (NDACC). Based on 14 years of data the first low latitudes NO2 VCD climatology has been established and the main characteristics from short scales of one day to inter-annual variability are presented. Instrumental descriptions and different source of errors are described in detail. The observed diurnal cycle follows that expected by gas-phase NOx chemistry, as can be shown by the good agreement with a vertically integrated chemical box model, and is modulated by solar radiation. The seasonal evolution departs from the phase of the hours of daylight, showing the signature of upper stratospheric temperature changes. From the data record no significant long-term trends in NO2 VCD can be inferred. Comparison of the ground-based data sets with nadir looking satellite spectrometers shows excellent agreement for SCIAMACHY with differences between both datasets of 1.1%. GOME displays unrealistic features with largest discrepancies during summer. The ground-based data are compared with long-term output of the SLIMCAT 3-D chemical transport model (CTM). The basic model, forced by ECMWF (ERA-40) analyses, captures the observed NO2 annual cycle but significantly underestimates the spring/summer maximum. In a model run which uses assimilation of satellite CH4 profiles to constrain the model long-lived tracers the agreement is significantly improved. This improvement in modelled column NO2 is due to better modelled NOy profiles and points to transport errors in the ECMWF ERA-40 reanalyses.
ISSN:16807324
DOI:10.5194/acpd-7-15067-2007