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Volume 14, issue 14
Atmos. Chem. Phys., 14, 7533–7541, 2014
https://doi.org/10.5194/acp-14-7533-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Chem. Phys., 14, 7533–7541, 2014
https://doi.org/10.5194/acp-14-7533-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Technical note 28 Jul 2014

Technical note | 28 Jul 2014

Technical Note: 30 years of HIRS data of upper tropospheric humidity

K. Gierens1, K. Eleftheratos2, and L. Shi3 K. Gierens et al.
  • 1Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
  • 2Faculty of Geology and Geoenvironment, University of Athens, Athens, Greece
  • 3National Climatic Data Center, NOAA, Asheville, NC, USA

Abstract. We use 30 years of intercalibrated HIRS (High-Resolution Infrared Radiation Sounder) data to produce a 30-year data set of upper tropospheric humidity with respect to ice (UTHi). Since the required brightness temperatures (channels 12 and 6, T12 and T6) are intercalibrated to different versions of the HIRS sensors (HIRS/2 and HIRS/4) it is necessary to convert the channel 6 brightness temperatures which are intercalibrated to HIRS/4 into equivalent brightness temperatures intercalibrated to HIRS/2, which is achieved using a linear regression. Using the new regression coefficients we produce daily files of UTHi, T12 and T6, for each NOAA satellite and METOP-A (Meteorological Operational Satellite Programme), which carry the HIRS instrument. From this we calculate daily and monthly means in 2.5° × 2.5° resolution for the northern midlatitude zone 30–60° N. As a first application we calculate decadal means of UTHi and the brightness temperatures for the two decades 1980–1989 and 2000–2009. We find that the humidity mainly increased from the 1980s to the 2000s and that this increase is highly statistically significant in large regions of the considered midlatitude belt. The main reason for this result and its statistical significance is the corresponding increase of the T12 variance. Changes of the mean brightness temperatures are less significant.

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