Abstract

Abstract. A new free-tropospheric humidity (FTH) data record is presented. It is based on observations from the Meteosat Visible and Infrared Imager (MVIRI) onboard Meteosat-2–Meteosat-5, as well as Meteosat-7, and the Spinning Enhanced Visible and Infrared Imager (SEVIRI) onboard Meteosat-8 and Meteosat-9 at the water absorption band near 6.3 μm. The data set is available under clear-sky and low-level cloud conditions. With the extension to SEVIRI observations, the data record covers the period 1983–2009 with a spatial resolution of 0.625° × 0.625° and a temporal resolution of 3 h. The FTH is the mean relative humidity (RH) in a broad layer in the free troposphere. The relation between the observed brightness temperature (BT) and the FTH is well established. Previous retrievals are refined by taking into account the relative humidity Jacobians in the training process of the statistical retrieval. The temporal coverage is extended into the SEVIRI period, the homogenization of the BT record is improved, and the full archive is reprocessed using updated regression coefficients. The FTH estimated from the Meteosat observations is compared to the FTH computed from the RH profiles of the Analyzed RadioSoundings Archive (ARSA). An average relative bias of −3.2% and a relative root-mean-square difference (RMSD) of 16.8% are observed. This relative RMSD agrees with the outcome of an analysis of the total uncertainty of the FTH product. The decadal stability of the FTH data record is 0.5 ± 0.45% per decade. As exemplary applications, the interannual standard deviation, the differences on decadal scales, and the linear trend in the FTH data record and in the frequency of occurrence of FTH < 10% (FTHp10) are analyzed per season. Interannual standard deviation maxima and maxima in absolute decadal differences are featured in gradient areas between dry and wet regions, as well as in areas where FTH reaches minima and FTHp10 reaches maxima. An analysis of the FTH linear trends and of the associated uncertainty estimates is achieved to identify possible problems with the data record. Positive trends in FTHp10 are featured in gradient areas between wet and dry regions, in regions where the FTH is minimum, in regions where FTHp10 is maximum, and in regions where differences between FTHp10 averaged over the 2000s and 1990s are negative. However, these positive trends in FTHp10 are associated with maximum standard deviation and are thus hardly significant. This analysis and intercomparisons with other humidity data records are part of the Global Energy and Water Cycle Experiment (GEWEX) Water Vapor Assessment (G-VAP).

Highlights

  • The importance of relative humidity (RH) in the free troposphere originates from the nonlinear interaction between RH and longwave radiation

  • As far as the first generation of Meteosat observations is concerned, the vicarious calibration has been replaced by the calibration using the onboard blackbody in May 2000, and an updated version has been implemented in January 2001

  • TRhSeAco-lFoTreHd lin(seescinonthde fiprastntewl)o, pamnoelnsthhilgyhlimghetatnhe FoTf HthreequairbesmoelnuttsefrobmiasGlobbeatwl Celeimn attehOe bserving System (GCOS-154); the error budget estimate from Sect. 5; and a line at 15 %, which is close to the peak values in maximum relative bias

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Summary

Introduction

The importance of relative humidity (RH) in the free troposphere originates from the nonlinear interaction between RH and longwave radiation. The outgoing longwave radiation (OLR) is much more sensitive to perturbations at the dry end than at the moist end of the distribution (Spencer and Braswell, 1997; Roca et al, 2011). The magnitude of the differential impact of a given change at the dry end of the RH distribution compared to at the moist end of it can exceed a factor of 3 (Roca et al, 2011)

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