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Satellite-based Applications on Climate Change pp 107–125Cite as

Atmospheric Temperature Climate Data Records from Satellite Microwave Sounders

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Abstract

This chapter reviews the simultaneous nadir overpass (SNO) method to remove time-varying inter-satellite biases at the swath level for developing a well-inter-calibrated Level-1c radiance fundamental climate data record (FCDR) from the microwave sounding unit (MSU) and advanced MSU observations onboard historical NOAA polar-orbiting satellite series. The SNO method has effectively minimized scene temperature-dependent radiance biases and solar heating-related instrument temperature variability in the radiances, resulting in global mean inter-satellite biases of only 0.05–0.1 K. Twenty years of the SNO-calibrated Level-1c radiances had been assimilated into the NCEP Climate Forecast System Reanalysis (CFSR) and NASA Modern Era Retrospective analysis for Research and Applications (MERRA) reanalysis, yielding much consistent bias correction patterns across different satellites compared to those using prelaunch-calibrated radiances.

The SNO-calibrated radiances were further used to generate the NOAA Center for Satellite Applications and Research (STAR) version of deep-layer atmospheric temperature climate data record. The chapter reviews various residual bias correction algorithms for developing the STAR layer temperature time series, including antenna pattern correction, limb adjustment, diurnal drift correction, geo-location-dependent bias removal, and channel frequency difference between MSU and AMSU. With these adjustments, well-merged atmospheric temperature time series were generated for climate change monitoring and research.

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References

  • Cao C, Weinreb M, Xu H (2004) Predicting simultaneous nadir overpasses among polar-orbiting meteorological satellites for the intersatellite calibration of radiometers. J Atmos Ocean Technol 21:537–542

    Article  Google Scholar 

  • Christy JR, Spencer RW, Lobel ES (1998) Analysis of the merging procedure for the MSU daily temperature time series. J Climate 11:2016–2041

    Article  Google Scholar 

  • Christy JR, Spencer RW, Braswell WD (2000) MSU tropospheric temperatures: data set construction and radiosonde comparisons. J Atmos Ocean Technol 17:1153–1170

    Article  Google Scholar 

  • Christy JR, Spencer RW, Norris WB, Braswell WD (2003) Error estimates of version 5.0 of MSU-AMSU bulk atmospheric temperature. J Atmos Ocean Technol 20:613–629

    Article  Google Scholar 

  • Dee D, Uppala S (2009) Variational bias correction of satellite radiance data in the ERA-interim reanalysis. Q J R Meteorol Soc 135:1830–1841. doi:10.1002/qj.493

    Article  Google Scholar 

  • Fu Q, Johanson CM (2004) Stratospheric influence on MSU-derived tropospheric temperature trends: a direct error analysis. J Climate 17:4636–4640

    Article  Google Scholar 

  • Fu Q, Johanson CM (2005) Satellite-derived vertical dependence of tropical tropospheric temperature trends. Geophys Res Lett 32:L10703. doi:10.1029/2004GL022266

    Article  Google Scholar 

  • Fu Q, Johanson CM, Warren SG, Seidel DJ (2004) Contribution of stratospheric cooling to satellite-inferred tropospheric trends. Nature 429:55–58

    Article  Google Scholar 

  • Goldberg MD, Crosby DS, Zhou L (2001) The limb adjustment of AMSU-A observations: methodology and validation. J Appl Meteor 40:70–83

    Article  Google Scholar 

  • Goodrum G (ed) (2000) NOAA KLM user’s guide. http://www2.ncdc.noaa.gov/docs/klm/cover.htm. Amended 5 Apr 2004

  • Grody NC, Vinnikov KY, Goldberg MD, Sullivan J, Tarpley JD (2004) Calibration of multisatellite observations for climate studies: microwave sounding unit (MSU). J Geophys Res 109. doi:10.1029/2004JD005079

  • Hurrell JW, Trenberth KE (1997) Spurious trends in satellite MSU temperatures from merging different satellite records. Nature 386:164–167

    Article  Google Scholar 

  • Hurrell JW, Trenberth KE (1998) Difficulties in obtaining reliable temperature trends: reconciling the surface and satellite microwave sounding unit records. J Climate 11:945–967

    Article  Google Scholar 

  • Hurrell JW, Brown SJ, Trenberth KE, Christy JR (2000) Comparison of tropospheric temperatures from radiosondes and satellites: 1979–1998. Bull Am Meteor Soc 81:2165–2177

    Article  Google Scholar 

  • Iacovazzi RA Jr, Cao C, Boukabara S (2009) Analysis of polar-orbiting operational environmental satellite NOAA-14 MSU and NOAA-15 AMSU-A relative measurement biases for climate change detection. J Geophys Res 114:D09107. doi:10.1029/2008JD011588

    Article  Google Scholar 

  • Johanson CM, Fu Q (2006) Robustness of tropospheric temperature trends from MSU channels 2 and 4. J Climate 19:4234–4242

    Article  Google Scholar 

  • Karl TR et al (eds) (2006) Temperature trends in the lower atmosphere: steps understanding and reconciling differences. Climate change science program and subcommittee on global change research. Washington, D.C. http://www.climatescience.gov/Library/sap/sap1-1/finalreport/sap1-1-final-all.pdf

  • Kidwell KB (ed) (1998) NOAA polar orbiter data user’s guide. http://www2.ncdc.noaa.gov/docs/podug/index.htm, September 2000 revision

  • Mears CA, Wentz FJ (2005) The effect of diurnal correction on the satellite-derived lower tropospheric temperature. Science 309:1548–1551

    Article  Google Scholar 

  • Mears CA, Wentz FJ (2009a) Construction of the remote sensing systems V3.2 atmospheric temperature records from the MSU and AMSU microwave sounders. J Atmos Ocean Technol 26:1040–1056

    Article  Google Scholar 

  • Mears CA, Wentz FJ (2009b) Construction of the RSS V3.2 lower-tropospheric temperature dataset from the MSU and AMSU microwave sounders. J Atmos Ocean Technol 26:1493–1509

    Article  Google Scholar 

  • Mears CA, Schabel MC, Wentz FJ (2003) A reanalysis of the MSU channel 2 tropospheric temperature record. J Climate 16:3650–3664

    Article  Google Scholar 

  • Mo T (1995a) A study of the microwave sounding unit on the NOAA-12 satellite. IEEE Trans Geosci Remote Sens 33:1141–1152

    Article  Google Scholar 

  • Mo T (1995b) Calibration of the advanced microwave sounding unit-A for NOAA-K. NOAA technical report NESDIS 85, US Department of Commerce, Washington DC

    Google Scholar 

  • Mo T (1999) AMSU-A antenna pattern corrections. IEEE Trans Geosci Remote Sens 37:103–112

    Article  Google Scholar 

  • Mo T, Goldberg MD, Crosby DS, Cheng Z (2001) Recalibration of the NOAA microwave sounding unit. J Geophys Res 106:10145–10150

    Article  Google Scholar 

  • National Research Council (2004) Climate data records from Environmental Satellites. Washington, D.C.

    Google Scholar 

  • Prabhakara C, Iacovazzi RA Jr (1999) Comments on “analysis of the merging procedure for the MSU daily temperature time series”. J Climate 12:3331–3334

    Article  Google Scholar 

  • Prabhakara C, Iaccovazzi RA Jr, Yoo J-M, Dalu G (2000) Global warming: evidence from satellite observations. Geophys Res Lett 27:3517–3520

    Article  Google Scholar 

  • Rienecker MM et al (2011) MERRA: NASA’s modern-era retrospective analysis for research and applications. J Climate 24:3624–3648. doi:10.1175/JCLI-D-11-00015.1

    Article  Google Scholar 

  • Saha S et al (2010) The NCEP climate forecast system reanalysis. Bull Am Meteorol Soc 91:1015–1057. doi: http://dx.doi.org/10.1175/2010BAMS3001.1

    Google Scholar 

  • Santer BD et al (2005) Amplification of surface temperature trends and variability in the tropical atmosphere. Science 309:1551–1556

    Article  Google Scholar 

  • Solomon S, Qin D, Manning M, Marquis M, Averyt K, Tignor MMB, Miller HL HL Jr, Chen Z (eds) (2007) Climate change 2007: the physical science basis. Cambridge University Press, Cambridge

    Google Scholar 

  • Spencer RW, Christy JR (1992a) Precision and radiosonde validation of satellite gridpoint temperature anomalies. Part I: MSU channel 2. J Climate 5:847–857

    Article  Google Scholar 

  • Spencer RW, Christy JR (1992b) Precision and radiosonde validation of satellite gridpoint temperature anomalies. Part II: tropospheric retrieval and trends during 1979–90. J Climate 5:858–866

    Article  Google Scholar 

  • Spencer RW, Christy JR, Braswell WD, Norris WB (2006) Estimation of tropospheric temperature trends from MSU channels 2 and 4. J Atmos Ocean Technol 23:417–423

    Article  Google Scholar 

  • Trenberth KE, Hurrell JW (1997) How accurate are satellite “thermometers”. Nature 389:342–343

    Article  Google Scholar 

  • Vinnikov KY, Grody NC (2003) Global warming trend of mean tropospheric temperature observed by satellites. Science 302:269–272

    Article  Google Scholar 

  • Vinnikov KY, Grody NC, Robock A, Stouffer RJ, Jones PD, Goldberg MD (2006) Temperature trends at the surface and in the troposphere. J Geophys Res 111:1–14. D03106, doi:10.1029/2005JD006392

    Google Scholar 

  • Wentz FJ, Schabel M (1998) Effects of satellite orbital decay on MSU lower tropospheric temperature trends. Nature 394:661–664

    Article  Google Scholar 

  • Zou C-Z, Wang W (2010) Stability of the MSU-derived atmospheric temperature trend. J Atmos Ocean Technol 27:1960–1971

    Article  Google Scholar 

  • Zou C-Z, Wang W (2011) Inter-satellite calibration of AMSU-A observations for weather and climate applications. J Geophys Res 116:D23113. doi:10.1029/2011JD016205

    Article  Google Scholar 

  • Zou C-Z, Goldberg MD, Cheng Z, Grody N, Sullivan J, Cao C, Tarpley D (2006) Recalibration of microwave sounding unit for climate studies using simultaneous nadir overpasses. J Geophys Res 111:D19114. doi:10.1029/2005JD006798

    Article  Google Scholar 

  • Zou C-Z, Gao M, Goldberg MD (2009) Error structure and atmospheric temperature trends in observations from the microwave sounding unit. J Climate 22:1661–1681. doi:10.1175/2008JCLI2233.1

    Article  Google Scholar 

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Authors and Affiliations

  1. NOAA/NESDIS/Center for Satellite Applications and Research, 5830 University Research Court, College Park, MD, 20740, USA

    Cheng-Zhi Zou

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  1. Cheng-Zhi Zou
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Correspondence to Cheng-Zhi Zou .

Editor information

Editors and Affiliations

  1. , Environmental Science and Technology, George Mason University, Fairfax, 22030, USA

    John Qu

  2. Administration, NOAA/NESDIS, Center for Satellite Application and Res, National Oceanic & Atmospheric, Auth Road 5200, Camp Springs, 20746, Maryland, USA

    Alfred Powell

  3. , Climate and Water Programme, World Meteorological Organization, 7bis, Avenue de la Paix, Geneva, 1211, Switzerland

    M.V.K. Sivakumar

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Zou, CZ. (2013). Atmospheric Temperature Climate Data Records from Satellite Microwave Sounders. In: Qu, J., Powell, A., Sivakumar, M. (eds) Satellite-based Applications on Climate Change. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5872-8_8

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