Articles | Volume 15, issue 3
Atmos. Meas. Tech., 15, 811–818, 2022
Atmos. Meas. Tech., 15, 811–818, 2022

Research article 15 Feb 2022

Research article | 15 Feb 2022

Characterizing and correcting the warm bias observed in Aircraft Meteorological Data Relay (AMDAR) temperature observations

Siebren de Haan et al.

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Cited articles

Ballish, B. A. and Kumar, K. V.: Systematic Differences in Aircraft and Radiosonde Temperatures, B. Am. Meteorol. Soc., 89, 1689–1707,, 2008. a
Benjamin, S. G., Schwartz, B. E., and Cole, R. E.: Accuracy of ACARS Wind and Temperature Observations Determined by Collocation, Weather Forecast., 14, 1032–1038,<1032:AOAWAT>2.0.CO;2, 1999. a
Dee, D. P.: Bias and data assimilation, Q. J. Roy. Meteor. Soc., 131, 3323–3343,, 2005. a
Dee, D. P. and Da Silva, A. M.: Data assimilation in the presence of forecast bias, Q. J. Roy. Meteor. Soc., 124, 269–295,, 1998. a
de Haan, S.: High-resolution wind and temperature observations from aircraft tracked by Mode-S air traffic control radar, J. Geophys. Res., 116, D10111,, 2011. a, b
Short summary
AMDAR temperatures suffer from a bias, which can be related to a difference in the timing of height and measurement and to internal corrections applied to pressure altitude. Based on NWP model temperature data, combined with Mach number and true airspeed, we could estimate corrections. Comparing corrected temperatures with (independent) radiosonde observations demonstrates a reduction in the bias, from 0.5 K to around zero, and standard deviation, of almost 10 %.