Satellite-Based Reconstruction of the Tropical Oceanic Clear-Sky Outgoing Longwave Radiation and Comparison with Climate Models

Guillaume Gastineau LOCEAN/IPSL, Université Pierre et Marie Curie, Paris, France

Search for other papers by Guillaume Gastineau in
Current site
Google Scholar
PubMed
Close
,
Brian J. Soden Rosenstiel School of Marine and Atmospheric Sciences, University of Miami, Miami, Florida

Search for other papers by Brian J. Soden in
Current site
Google Scholar
PubMed
Close
,
Darren L. Jackson CIRES, University of Colorado at Boulder, Boulder, Colorado

Search for other papers by Darren L. Jackson in
Current site
Google Scholar
PubMed
Close
, and
Chris W. O’Dell Department of Atmospheric Science, Colorado State University, Fort Collins, Colorado

Search for other papers by Chris W. O’Dell in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract

The changes of the outgoing longwave radiation (OLR) in clear-sky conditions have been calculated using High Resolution Infrared Radiation Sounder (HIRS) observations from 1979 to 2004. After applying corrections for satellite orbital drift and intercalibration of the HIRS/2 data from the NOAA satellites, the OLR is calculated from a multivariate regression over the tropical ocean region. The clear-sky OLR retrievals compare well with the observed top-of-atmosphere radiation measurements, although the precision and stability uncertainties are larger. While the tropical ocean surface temperature has risen by roughly 0.2 K from 1982 to 2004, the reconstructed OLR remains stable over the ocean. Consequently, there is an increase in the clear-sky greenhouse effect (GHE) of 0.80 W m−2 decade−1. This trend is shown to be larger than the uncertainty in the stability of the HIRS retrievals.

The observations are compared with two phase 3 of the Coupled Model Intercomparison Project model ensembles: one ensemble includes both natural and anthropogenic forcings [the twentieth-century (20C) ensemble] and the other ensemble only contains natural climate variability (the control ensemble). The OLR trend in the 20C simulations tends to be more negative than observed, although a majority is found to be within the observational uncertainty. Conversely, the response of the clear-sky OLR to SST is shown to be very similar in observations and models. Therefore, the trend differences between the 20C simulations and observations are likely because of internal climate variability or uncertainties in the external forcings. The observed increase in GHE is shown to be inconsistent with the control ensemble, indicating that anthropogenic forcings are required to reproduce the observed changes in GHE.

Corresponding author address: Guillaume Gastineau, LOCEAN/IPSL, Université Pierre et Marie Curie, 4 Place Jussieu, 75005 Paris, France. E-mail: guillaume.gastineau@upmc.fr

Abstract

The changes of the outgoing longwave radiation (OLR) in clear-sky conditions have been calculated using High Resolution Infrared Radiation Sounder (HIRS) observations from 1979 to 2004. After applying corrections for satellite orbital drift and intercalibration of the HIRS/2 data from the NOAA satellites, the OLR is calculated from a multivariate regression over the tropical ocean region. The clear-sky OLR retrievals compare well with the observed top-of-atmosphere radiation measurements, although the precision and stability uncertainties are larger. While the tropical ocean surface temperature has risen by roughly 0.2 K from 1982 to 2004, the reconstructed OLR remains stable over the ocean. Consequently, there is an increase in the clear-sky greenhouse effect (GHE) of 0.80 W m−2 decade−1. This trend is shown to be larger than the uncertainty in the stability of the HIRS retrievals.

The observations are compared with two phase 3 of the Coupled Model Intercomparison Project model ensembles: one ensemble includes both natural and anthropogenic forcings [the twentieth-century (20C) ensemble] and the other ensemble only contains natural climate variability (the control ensemble). The OLR trend in the 20C simulations tends to be more negative than observed, although a majority is found to be within the observational uncertainty. Conversely, the response of the clear-sky OLR to SST is shown to be very similar in observations and models. Therefore, the trend differences between the 20C simulations and observations are likely because of internal climate variability or uncertainties in the external forcings. The observed increase in GHE is shown to be inconsistent with the control ensemble, indicating that anthropogenic forcings are required to reproduce the observed changes in GHE.

Corresponding author address: Guillaume Gastineau, LOCEAN/IPSL, Université Pierre et Marie Curie, 4 Place Jussieu, 75005 Paris, France. E-mail: guillaume.gastineau@upmc.fr
Save
  • Allan, R., 2006: Variability in clear-sky longwave radiative cooling of the atmosphere. J. Geophys. Res., 111, D22105, doi:10.1029/2006JD007304.

    • Search Google Scholar
    • Export Citation
  • Andronova, N., J. Penner, and T. Wong, 2009: Observed and modeled evolution of the tropical mean radiation budget at the top of the atmosphere since 1985. J. Geophys. Res., 114, D14106, doi:10.1029/2008JD011560.

    • Search Google Scholar
    • Export Citation
  • Balmaseda, M. A., K. E. Trenberth, and E. Källén, 2013: Distinctive climate signals in reanalysis of global ocean heat content. Geophys. Res. Lett., 40, 1754–1759, doi:10.1002/grl.50382.

    • Search Google Scholar
    • Export Citation
  • Barkstrom, B. R., 1984: The Earth Radiation Budget Experiment (ERBE). Bull. Amer. Meteor. Soc., 65, 11701185.

  • Bony, S., and Coauthors, 2006: How well do we understand and evaluate climate change feedback processes? J. Climate, 19, 34453482.

  • Bretherton, C., M. Widmann, V. Dymnikov, J. Wallace, and I. Bladé, 1999: The effective number of spatial degrees of freedom of a time-varying field. J. Climate, 12, 19902009.

    • Search Google Scholar
    • Export Citation
  • Buehler, S. A., V. O. John, A. Kottayil, M. Milz, and P. Eriksson, 2010: Efficient radiative transfer simulations for a broadband infrared radiometer combining a weighted mean of representative frequencies approach with frequency selection by simulated annealing. J. Quant. Spectrosc. Radiat. Transfer, 111, 602615, doi:10.1016/j.jqsrt.2009.10.018.

    • Search Google Scholar
    • Export Citation
  • Cao, C., H. Xu, J. Sullivan, L. McMillin, P. Ciren, and Y.-T. Hou, 2005: Intersatellite radiance biases for the High-Resolution Infrared Radiation Sounders (HIRS) on board NOAA-15, -16, and -17 from simultaneous nadir observations. J. Atmos. Oceanic Technol., 22, 381395.

    • Search Google Scholar
    • Export Citation
  • Chen, R., C. Cao, and P. Menzel, 2013: Intersatellite calibration of NOAA HIRS CO2 channels for climate studies. J. Geophys. Res. Atmos., 118, 51905203, doi:10.1002/jgrd.50447.

    • Search Google Scholar
    • Export Citation
  • Chevallier, F., A. Chédin, F. Cheruy, and J.-J. Morcrette, 2000: TIGR-like atmospheric-profile databases for accurate radiative-flux computation. Quart. J. Roy. Meteor. Soc., 126, 777785.

    • Search Google Scholar
    • Export Citation
  • Dessler, A. E., 2013: Observations of climate feedbacks over 2000–10 and comparisons to climate models. J. Climate, 26, 333342.

  • Dessler, A. E., and S. Wong, 2009: Estimates of the water vapor climate feedback during El Niño–Southern Oscillation. J. Climate, 22, 64046412.

    • Search Google Scholar
    • Export Citation
  • Douglass, D. H., and R. S. Knox, 2005: Climate forcing by the volcanic eruption of Mount Pinatubo. Geophys. Res. Lett., 32, L05710, doi:10.1029/2004GL022119.

    • Search Google Scholar
    • Export Citation
  • Dufresne, J.-L., and S. Bony, 2008: An assessment of the primary sources of spread of global warming estimates from coupled atmosphere–ocean models. J. Climate, 21, 51355144.

    • Search Google Scholar
    • Export Citation
  • Ellingson, R., D. Yanuk, H.-T. Lee, and A. Gruber, 1989: A technique for estimating outgoing longwave radiation from HIRS radiance observations. J. Atmos. Oceanic Technol., 6, 706711.

    • Search Google Scholar
    • Export Citation
  • Forster, P., and Coauthors, 2007: Changes in atmospheric constituents and in radiative forcing. Climate Change 2007: The Physical Science Basis, S. Solomon et al., Eds., Cambridge University Press, 129–234.

  • Iacono, M., E. Mlawer, S. Clough, and J.-J. Morcrette, 2000: Impact of an improved longwave radiation model, RRTM, on the energy budget and thermodynamic properties of the NCAR community climate model, CCM3. J. Geophys. Res., 105 (D11), 14 87314 890.

    • Search Google Scholar
    • Export Citation
  • Inamdar, A., and V. Ramanathan, 1998: Tropical and global scale interactions among water vapor, atmospheric greenhouse effect, and surface temperature. J. Geophys. Res., 103 (D24), 32 17732 194.

    • Search Google Scholar
    • Export Citation
  • Jackson, D., and J. J. Bates, 2000: A 20-yr TOVS radiance pathfinder data set for climate analysis. Preprints, 10th Conf. on Satellite Meteorology and Oceanography, Long Beach, CA, Amer. Meteor. Soc., JP4.11.

  • Jackson, D., and B. Soden, 2007: Detection and correction of diurnal sampling bias in HIRS/2 brightness temperatures. J. Atmos. Oceanic Technol., 24, 14251438.

    • Search Google Scholar
    • Export Citation
  • Kidwell, K. B., 1998: NOAA Polar Orbiter data users guide (TIROS-N, NOAA-6, NOAA-7, NOAA-8, NOAA-9, NOAA-10, NOAA-11, NOAA-12, NOAA-13 and NOAA-14). NOAA/NESDIS/NCDC Rep., 20 pp.

  • Lee, H.-T., A. Gruber, R. Ellingson, and I. Laszlo, 2007: Development of the HIRS outgoing longwave radiation climate dataset. J. Atmos. Oceanic Technol., 24, 20292047.

    • Search Google Scholar
    • Export Citation
  • Meehl, G. A., A. Hu, J. Arblaster, J. Fasullo, and K. E. Trenberth, 2013: Externally forced and internally generated decadal climate variability associated with the interdecadal Pacific oscillation. J. Climate, 26, 72987310.

    • Search Google Scholar
    • Export Citation
  • Meinshausen, M., and Coauthors, 2011: The RCP greenhouse gas concentrations and their extensions from 1765 to 2300. Climatic Change, 109, 213241.

    • Search Google Scholar
    • Export Citation
  • Pierangelo, C., A. Chédin, and P. Chazette, 2004: Measurements of stratospheric volcanic aerosol optical depth from NOAA TIROS Observational Vertical Sounder (TOVS) observations. J. Geophys. Res., 109, D03207, doi:10.1029/2003JD003870.

    • Search Google Scholar
    • Export Citation
  • Ramanathan, V., 1981: The role of ocean-atmosphere interactions in the CO2 climate problem. J. Atmos. Sci., 38, 918930.

  • Raval, A., and V. Ramanathan, 1989: Observational determination of the greenhouse effect. Nature, 342, 758761.

  • Reynolds, R., N. Rayner, T. Smith, D. Stokes, and W. Wang, 2002: An improved in situ and satellite SST analysis for climate. J. Climate, 15, 16091625.

    • Search Google Scholar
    • Export Citation
  • Saunders, R., M. Matricardi, and P. Brunel, 1999: An improved fast radiative transfer model for assimilation of satellite radiance observations. Quart. J. Roy. Meteor. Soc., 125,14071425.

    • Search Google Scholar
    • Export Citation
  • Slingo, A., J. Pamment, and M. Webb, 1998: A 15-year simulation of the clear-sky greenhouse effect using the ECMWF reanalyses: Fluxes and comparisons with ERBE. J. Climate, 11, 690708.

    • Search Google Scholar
    • Export Citation
  • Smith, W. L., H. M. Woolf, C. M. Hayden, and A. J. Schreiner, 1985: The simultaneous export retrieval package. Proc. Second Int. TOVS Study Conf., Igls, Austria, TOVS, 244253.

  • Stenchikov, G. L., I. Kirchner, A. Robock, H.-F. Graf, J. Antuna, R. G. Grainger, A. Lambert, and L. W. Thomason, 1998: Radiative forcing from the 1991 Mount Pinatubo volcanic eruption. J. Geophys. Res., 103 (D12), 13 83713 857.

    • Search Google Scholar
    • Export Citation
  • Trenberth, K. E., and J. T. Fasullo, 2009: Global warming due to increasing absorbed solar radiation. Geophys. Res. Lett., 36, L07706, doi:10.1029/2009GL037527.

    • Search Google Scholar
    • Export Citation
  • von Storch, H., and F. W. Zwiers, 1999: Statistical Analysis in Climate Research. Cambridge University Press, 484 pp.

  • Webb, M. J., A. Slingo, and G. L. Stephens, 1993: Seasonal variations of the clear-sky greenhouse effect: The role of changes in atmospheric temperatures and humidities. Climate Dyn., 9, 117129.

    • Search Google Scholar
    • Export Citation
  • Wielicki, B. A., and R. N. Green, 1989: Cloud identification for ERBE Radiative flux retrieval. J. Appl. Meteor., 28, 11331146.

  • Wielicki, B. A., and Coauthors, 1996: Clouds and the Earth’s Radiant Energy System (CERES): An Earth Observing System experiment. Bull. Amer. Meteor. Soc., 77, 853868.

    • Search Google Scholar
    • Export Citation
  • Wild, M., 2012: Enlightening global dimming and brightening. Bull. Amer. Meteor. Soc., 93, 2737.

  • Wild, M., and E. Schmucki, 2011: Assessment of global dimming and brightening in IPCC-AR4/CMIP3 models and ERA40. Climate Dyn., 37, 16711688.

    • Search Google Scholar
    • Export Citation
  • Wylie, D., D. L. Jackson, W. P. Menzel, and J. J. Bates, 2005: Trends in global cloud cover in two decades of HIRS observations. J. Climate, 18, 30213031.

    • Search Google Scholar
    • Export Citation
  • Zhao, M., I. M. Held, S.-J. Lin, and G. A. Vecchi, 2009: Simulations of global hurricane climatology, interannual variability, and response to global warming using a 50-km-resolution GCM. J. Climate, 22, 66536678.

    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 609 110 25
PDF Downloads 180 37 1