Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/133339
COMPARTIR / EXPORTAR:
logo share SHARE logo core CORE BASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE

Invitar a revisión por pares abierta
Título

Comparison of nitric oxide measurements in the mesosphere and lower thermosphere from ACE-FTS, MIPAS, SCIAMACHY, and SMR

AutorBender, S.; Sinnhuber, M.; Von Clarmann, T.; Stiller, G.; Funke, Bernd CSIC ORCID; López-Puertas, Manuel CSIC ORCID; Urban, J.; Pérot, K.; Walker, K.A.; Burrows, J.P.
Palabras claveGeomagnetic field
Geographical region
FTIR spectroscopy
Data set
Data quality
Atmospheric chemistry
Annual variations
ACE 2
Mesosphere
MIPAS
Nitric oxide
Thermosphere
SCIAMACHY
Radiometer
Fecha de publicación2015
EditorCopernicus Publications
CitaciónAtmospheric Measurement Techniques 8: 4171- 4195 (2015)
ResumenWe compare the nitric oxide measurements in the mesosphere and lower thermosphere (60 to 150 km) from four instruments: the Atmospheric Chemistry Experiment-Fourier Transform Spectrometer (ACE-FTS), the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS), the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY), and the Sub-Millimetre Radiometer (SMR). We use the daily zonal mean data in that altitude range for the years 2004-2010 (ACE-FTS), 2005-2012 (MIPAS), 2008-2012 (SCIAMACHY), and 2003-2012 (SMR). <br><br> We first compare the data qualitatively with respect to the morphology, focussing on the major features, and then compare the time series directly and quantitatively. In three geographical regions, we compare the vertical density profiles on coincident measurement days. Since none of the instruments delivers continuous daily measurements in this altitude region, we carried out a multi-linear regression analysis. This regression analysis considers annual and semi-annual variability in the form of harmonic terms and inter-annual variability by responding linearly to the solar Lyman-α radiation index and the geomagnetic Kp index. This analysis helps to find similarities and differences in the individual data sets with respect to the inter-annual variations caused by geomagnetic and solar variability. <br><br> We find that the data sets are consistent and that they only disagree on minor aspects. SMR and ACE-FTS deliver the longest time series in the mesosphere, and they agree with each other remarkably well. The shorter time series from MIPAS and SCIAMACHY also agree with them where they overlap. The data agree within 30 % when the number densities are large, but they can differ by 50 to 100 % in some cases.
URIhttp://hdl.handle.net/10261/133339
DOI10.5194/amt-8-4171-2015
Identificadoresdoi: 10.5194/amt-8-4171-2015
issn: 1867-8548
Aparece en las colecciones: (IAA) Artículos




Ficheros en este ítem:
Fichero Descripción Tamaño Formato
amt-8-4171-2015.pdf4,27 MBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro completo

CORE Recommender

SCOPUSTM   
Citations

17
checked on 25-mar-2024

WEB OF SCIENCETM
Citations

16
checked on 29-feb-2024

Page view(s)

223
checked on 28-mar-2024

Download(s)

141
checked on 28-mar-2024

Google ScholarTM

Check

Altmetric

Altmetric


NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.