UAH Version 6 global satellite temperature products: Methodology and results
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Version 6 of the UAH MSU/AMSU global satellite temperature dataset represents an extensive revision of the procedures employed in previous versions of the UAH datasets. The two most significant results from an end-user perspective are (1) a decrease in the global-average lower tropospheric temperature (LT) trend from +0.14°C decade−1 to +0.11°C decade−1 (Jan. 1979 through Dec. 2015); and (2) the geographic distribution of the LT trends, including higher spatial resolution, owing to a new method for computing LT. We describe the major changes in processing strategy, including a new method for monthly gridpoint averaging which uses all of the footprint data yet eliminates the need for limb correction; a new multi-channel (rather than multi-angle) method for computing the lower tropospheric (LT) temperature product which requires an additional tropopause (TP) channel to be used; and a new empirical method for diurnal drift correction. We show results for LT, the midtroposphere (MT, from MSU2/AMSU5), and lower stratosphere (LS, from MSU4/AMSU9). A 0.03°C decade−1 reduction in the global LT trend from the Version 5.6 product is partly due to lesser sensitivity of the new LT to land surface skin temperature (est. 0.01°C decade−1), with the remainder of the reduction (0.02°C decade−1) due to the new diurnal drift adjustment, the more robust method of LT calculation, and other changes in processing procedures.
Key wordsGlobal temperature satellites climate change
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- Free, M., and D. J. Seidel, 2005: Causes of differing temperature trends in radiosonde upper air datasets. J. Geophys. Res., 110, D07101, doi: 10.1029/2004JD005481.Google Scholar
- Mears, C. A., F. J. Wentz, and P. W. Thorne, 2012: Assessing the value of Microwave Sounding Unit radiosonde comparisons in ascertaining errors in climate data records of tropospheric temperatures. J. Geophys. Res., 117, D19103, doi:10.1029/2012JD017710.Google Scholar
- Robel, J., and A. Graumann, 2014: NOAA KLM User’s Guide with NOAA-N, N Prime, and Metop Supplements. NOAA/NESDIS/NCDC, Asheville, NC,2530 pp.Google Scholar
- Zou, C.-Z., and W. Wang, 2011: Inter-satellite calibration of AMSU-A observations for weather and climate applications. J. Geophys. Res., 116, D23113, doi:10.1029/2011JD016205.Google Scholar