Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 18, issue 14
Articles | Volume 18, issue 14
https://doi.org/10.5194/amt-18-3533-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-18-3533-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 14
Research article
 | 
29 Jul 2025
Research article |  | 29 Jul 2025

Propagating information content: an example with advection

David D. Turner, Maria P. Cadeddu, Julia M. Simonson, and Timothy J. Wagner

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Multi-season evaluation of temperature and wind in the marine boundary layer along the United States northeast coast in the High-Resolution Rapid Refresh model
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EGUsphere, https://doi.org/10.5194/egusphere-2026-97,https://doi.org/10.5194/egusphere-2026-97, 2026
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
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This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
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Cited articles

Baidar, S., Wagner, T. J., Turner, D. D., and Brewer, W. A.: Using optimal estimation to retrieve winds from velocity-azimuth display (VAD) scans by a Doppler lidar, Atmos. Meas. Tech., 16, 3715–3726, https://doi.org/10.5194/amt-16-3715-2023, 2023. 
Bevington, P. R. and Robinson, D. K.: Data Reduction and Error Analysis for the Physical Sciences, third edition, McGraw-Hill, 320 pp., ISBN 0-07-911243-9, 2003. 
Blumberg, W. G., Wagner, T. J., Turner, D. D., and Correia Jr., J.: Quantifying the accuracy and uncertainty of diurnal thermodynamic profiles and convection indices derived from the Atmospheric Emitted Radiance Interferometer, J. Appl. Meteor. Clim., 56, 2747–2766, https://doi.org/10.1175/JAMC-D-17-0036.1, 2017. 
Browning, K. and Wexler, R.: The determination of kinematic properties of a wind field using Doppler radar, J. Appl. Meteor., 7, 105–113, 1968. 
Cadeddu, M. P., Marchand, R., Orlandi, E., Turner, D. D., and Mech, M.: Microwave passive ground-based retrievals of cloud and rain liquid water path in drizzling clouds: Challenges and possibilities, IEEE T. Geosci. Remote Sens., 55, 6468–6481, https://doi.org/10.1109/TGRS.2017.2728699, 2017. 
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When deriving a geophysical variable from remote sensors, the uncertainty and information content are critical. The latter quantify specifies what fraction of a real perturbation would be observed in the derived variable. This paper outlines, for the first time, a methodology for propagating the information content from multiple remote sensors into a derived product using horizontal advection as an example.
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