Characterisation of Sentinel-5p TROPOMI tropospheric ozone in preparation for inclusion in the GOME-type Climate Data Record

Daan Hubert,  BIRA-IASB,  daan.hubert@aeronomie.be (Presenter)
K-P Heue,  DLR, TUM,  dummy@dummy.org
J-C Lambert,  BIRA-IASB,  dummy@dummy.org
T Verhoelst,  BIRA-IASB,  dummy@dummy.org
M Allaart,  KNMI,  dummy@dummy.org
S Compernolle,  BIRA-IASB,  dummy@dummy.org
P Cullis,  NOAA/ESRL/GML,  dummy@dummy.org
A Dehn,  ESA/ESRIN,  dummy@dummy.org
C Félix,  MeteoSwiss,  dummy@dummy.org
B Johnson,  NOAA/ESRL/GML,  dummy@dummy.org
D Kollonige,  SSAI, NASA GSFC,  dummy@dummy.org
C Lerot,  BIRA-IASB,  dummy@dummy.org
D Loyola,  DLR,  dummy@dummy.org
M Maata,  University of the South Pacific,  dummy@dummy.org
S Mitro,  Meteorological Service of Suriname,  dummy@dummy.org
M Mohamad,  Malaysian Meteorological Department,  dummy@dummy.org
A Piters,  KNMI,  dummy@dummy.org
H Selkirk,  NASA GSFC, USRA,  dummy@dummy.org
F da Silva,  Brazilian Institute of Space Research,  dummy@dummy.org
R Stauffer,  NASA GSFC, UMD,  dummy@dummy.org
A Thompson,  NASA GSFC,  dummy@dummy.org
J Veefkind,  KNMI,  dummy@dummy.org
H Vömel,  NCAR,  dummy@dummy.org
J Wite,  NCAR,  dummy@dummy.org
C Zehner,  ESA/ESRIN,  dummy@dummy.org

Ozone in the troposphere is the third most important anthropogenic contributor to greenhouse radiative forcing. The distribution of tropospheric O3 is highly variable over a wide range of spatial and temporal scales due to an interplay between dynamical, chemical and radiative processes. Global measurement systems are hence faced with the challenge of accurately capturing this variability at the scale of interest. Individual satellite instruments operate rarely more than two decades. The construction of a Climate Data Record (CDR) therefore inherently involves the combination of observations by different sensors and any differences between tropospheric O3 data records need to be properly accounted for.

In this contribution we present a complete characterisation of the TROPOMI tropospheric O3 data record. TROPOMI is a nadir-viewing UV-visible spectrometer that was launched into space on Sentinel-5 Precursor in October 2017. The Convective Cloud Differential technique (CCD) is applied to derive three-day running mean O3 columns between surface and 270 hPa over the tropical belt. These TROPOMI observations will be included in the tropospheric O3 CDR based on CCD by GOME, SCIAMACHY, OMI, GOME-2A and GOME-2B.

We made a comprehensive study of the quality of the first two years of TROPOMI tropospheric O3 in order to establish whether it is suitable for inclusion in the merged CDR and, if so, whether the merging scheme should be adapted. To this end, we performed comparisons between TROPOMI, OMI, GOME-2B and SHADOZ ozonesonde data. Bias estimates vary with reference instrument, but generally remain smaller than 2.3 DU. We show signs of latitudinal and seasonal patterns in the mean differences which should be considered in the merging scheme to avoid an artificial changes in the CDR when TROPOMI data are being introduced.

Poster: Poster_Hubert_0_43_25.pdf 

Presentation Type: Poster

Session: 1.5c Uncertainty quantification and bias correction techniques

Session Date: Monday (6/14) 12:00 PM