Articles | Volume 19, issue 6
https://doi.org/10.5194/acp-19-3733-2019
https://doi.org/10.5194/acp-19-3733-2019
Research article
 | 
22 Mar 2019
Research article |  | 22 Mar 2019

On the interpretation of upper-tropospheric humidity based on a second-order retrieval from infrared radiances

Klaus Gierens and Kostas Eleftheratos

Related authors

Synoptic and microphysical lifetime constraints for contrails
Sina Maria Hofer and Klaus Martin Gierens
EGUsphere, https://doi.org/10.5194/egusphere-2025-326,https://doi.org/10.5194/egusphere-2025-326, 2025
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
Machine learning for improvement of upper-tropospheric relative humidity in ERA5 weather model data
Ziming Wang, Luca Bugliaro, Klaus Gierens, Michaela I. Hegglin, Susanne Rohs, Andreas Petzold, Stefan Kaufmann, and Christiane Voigt
Atmos. Chem. Phys., 25, 2845–2861, https://doi.org/10.5194/acp-25-2845-2025,https://doi.org/10.5194/acp-25-2845-2025, 2025
Short summary
Kinematic properties of regions that can involve persistent contrails
Sina Maria Hofer and Klaus Martin Gierens
EGUsphere, https://doi.org/10.5194/egusphere-2024-3520,https://doi.org/10.5194/egusphere-2024-3520, 2024
Short summary
How well can persistent contrails be predicted? An update
Sina Hofer, Klaus Gierens, and Susanne Rohs
Atmos. Chem. Phys., 24, 7911–7925, https://doi.org/10.5194/acp-24-7911-2024,https://doi.org/10.5194/acp-24-7911-2024, 2024
Short summary
Towards a more reliable forecast of ice supersaturation: concept of a one-moment ice-cloud scheme that avoids saturation adjustment
Dario Sperber and Klaus Gierens
Atmos. Chem. Phys., 23, 15609–15627, https://doi.org/10.5194/acp-23-15609-2023,https://doi.org/10.5194/acp-23-15609-2023, 2023
Short summary

Related subject area

Subject: Gases | Research Activity: Remote Sensing | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
SO2 emissions derived from TROPOMI observations over India using a flux-divergence method with variable lifetimes
Yutao Chen, Ronald J. van der A, Jieying Ding, Henk Eskes, Jason E. Williams, Nicolas Theys, Athanasios Tsikerdekis, and Pieternel F. Levelt
Atmos. Chem. Phys., 25, 1851–1868, https://doi.org/10.5194/acp-25-1851-2025,https://doi.org/10.5194/acp-25-1851-2025, 2025
Short summary
Evaluation of the WRF-Chem performance for the air pollutants over the United Arab Emirates
Yesobu Yarragunta, Diana Francis, Ricardo Fonseca, and Narendra Nelli
Atmos. Chem. Phys., 25, 1685–1709, https://doi.org/10.5194/acp-25-1685-2025,https://doi.org/10.5194/acp-25-1685-2025, 2025
Short summary
Analysis of the long-range transport of the volcanic plume from the 2021 Tajogaite/Cumbre Vieja eruption to Europe using TROPOMI and ground-based measurements
Pascal Hedelt, Jens Reichardt, Felix Lauermann, Benjamin Weiß, Nicolas Theys, Alberto Redondas, Africa Barreto, Omaira Garcia, and Diego Loyola
Atmos. Chem. Phys., 25, 1253–1272, https://doi.org/10.5194/acp-25-1253-2025,https://doi.org/10.5194/acp-25-1253-2025, 2025
Short summary
Evidence of successful methane mitigation in one of Europe's most important oil production region
Gerrit Kuhlmann, Foteini Stavropoulou, Stefan Schwietzke, Daniel Zavala-Araiza, Andrew Thorpe, Andreas Hueni, Lukas Emmenegger, Andreea Calcan, Thomas Röckmann, and Dominik Brunner
EGUsphere, https://doi.org/10.5194/egusphere-2024-3494,https://doi.org/10.5194/egusphere-2024-3494, 2024
Short summary
Development of a high-spatial-resolution annual emission inventory of greenhouse gases from open straw burning in Northeast China from 2001 to 2020
Zihan Song, Leiming Zhang, Chongguo Tian, Qiang Fu, Zhenxing Shen, Renjian Zhang, Dong Liu, and Song Cui
Atmos. Chem. Phys., 24, 13101–13113, https://doi.org/10.5194/acp-24-13101-2024,https://doi.org/10.5194/acp-24-13101-2024, 2024
Short summary

Cited articles

Abramowitz, M. and Stegun, I.: Handbook of mathematical functions, Dover, 9th Edn., 1972. a
Brogniez, H., Roca, R., and Picon, L.: A study of the free tropospheric humidity interannual variability using Meteosot data and an advection–condensation transport model, J. Climate, 22, 6773–6787, 2009. a
Chung, E.-S., Soden, B., Huang, X., Shi, L., and John, V.: An assessment of the consistency between satellite measurements of upper tropospheric water vapor, J. Geophys. Res., 121, 2874–2887, https://doi.org/10.1002/2015JD024496, 2016. a
Eleftheratos, K., Zerefos, C., Zanis, P., Balis, D., Tselioudis, G., Gierens, K., and Sausen, R.: A study on natural and manmade global interannual fluctuations of cirrus cloud cover for the period 184–2004, Atmos. Chem. Phys., 7, 2631–2642, https://doi.org/10.5194/acp-7-2631-2007, 2007. a
Gettelman, A., Fetzer, E., Elderling, A., and Irion, F.: The global distribution of supersaturation in the upper troposphere from the Atmospheric Infrared Sounder, J. Climate, 19, 6089–6103, 2006. a
Download
Short summary
We derive a new method to retrieve upper-tropospheric humidity (UTH) from High-resolution Infrared Radiation Sounder (HIRS) channel 12 brightness temperatures. With the new method we solve an old problem, namely that the wavelength change that occurred between HIRS 2 on NOAA 14 and HIRS 3 on NOAA 15 led to the retrieval of many more events with high UTH; that is, the time series shows strong jumps at high UTH values. This old problem is solved with the new retrieval.
Share
Altmetrics
Final-revised paper
Preprint