Climate change sensitivity evaluation from AIRS and IRIS measurements

Outgoing longwave radiation (OLR) measurements over a long period from satellites provide valuable information for climate change. Due to the different coverage, spectral resolution and instrument sensitivities, the data comparisons between different satellites could be problematic and possible artifacts could be easily introduced. In this paper, we illustrate the method and procedures when we compare different satellite measurements by using the data taken by Infrared Interferometric Spectrometer (IRIS) in 1970 and by Atmospheric Infrared Sounder (AIRS) from 2002 to 2010. We use the spectra between 650 cm-1 and 1350 cm-1 for nadir view footprints in order to match the AIRS and IRIS measurements. Most of the possible sources of error or biases, which include the errors from spatial coverage, spectral resolution, spectra frequency shift due to the field of view, sea surface temperature uncertainty, clear sky determination, and spectra response function (SRF) symmetry, can be corrected. Using the correct SRF is extremely important when comparing spectra in the high slope spectral regions where possible large artifacts could be introduced.

[1]  L. Larrabee Strow,et al.  Validation of the Atmospheric Infrared Sounder radiative transfer algorithm , 2006 .

[2]  H. Brindley,et al.  The impact of instrument field of view on measurements of cloudy-sky spectral radiances from space: application to IRIS and IMG , 2003 .

[3]  W. Rossow,et al.  Advances in understanding clouds from ISCCP , 1999 .

[4]  D. Jackson,et al.  Trends in Global Cloud Cover in Two Decades of HIRS Observations , 2005 .

[5]  John E. Harries,et al.  Increases in greenhouse forcing inferred from the outgoing longwave radiation spectra of the Earth in 1970 and 1997 , 2001, Nature.

[6]  David T. Gregorich,et al.  AIRS hyper-spectral measurements for climate research : Carbon dioxide and nitrous oxide effects , 2005 .

[7]  Larrabee L. Strow,et al.  Prelaunch spectral calibration of the atmospheric infrared sounder (AIRS) , 2003, IEEE Trans. Geosci. Remote. Sens..

[8]  Hartmut H. Aumann,et al.  Level 1C spectra from the Atmospheric Infrared Sounder (AIRS) , 2008, Optical Engineering + Applications.

[9]  James A. Gardner,et al.  Using the MODTRAN5 radiative transfer algorithm with NASA satellite data: AIRS and SORCE , 2007, SPIE Defense + Commercial Sensing.

[10]  Hartmut H. Aumann,et al.  Three years of Atmospheric Infrared Sounder radiometric calibration validation using sea surface temperatures , 2006 .

[11]  Thomas M. Smith,et al.  Improvements to NOAA’s Historical Merged Land–Ocean Surface Temperature Analysis (1880–2006) , 2008 .

[12]  Paul E. Lewis,et al.  MODTRAN5: a reformulated atmospheric band model with auxiliary species and practical multiple scattering options , 2004, SPIE Defense + Commercial Sensing.

[13]  Robert J. Curran,et al.  Thin cirrus clouds - Seasonal distribution over oceans deduced from Nimbus-4 IRIS , 1988 .

[14]  Y. Yung,et al.  Enhanced UV penetration due to ozone cross‐section changes induced by CO2 doubling , 1997 .

[15]  William L. Smith,et al.  AIRS/AMSU/HSB on the Aqua mission: design, science objectives, data products, and processing systems , 2003, IEEE Trans. Geosci. Remote. Sens..

[16]  Vincent V. Salomonson,et al.  The Nimbus 4 infrared spectroscopy experiment: 1. Calibrated thermal emission spectra , 1972 .

[17]  W. Paul Menzel,et al.  Cloud Properties inferred from 812-µm Data , 1994 .

[18]  Gerald R. North,et al.  Testing climate models : An approach , 1998 .

[19]  R. Hanel,et al.  Nimbus 4 michelson interferometer. , 1971, Applied optics.