Atmos. Chem. Phys. Discuss., 10, 11711-11750, 2010
www.atmos-chem-phys-discuss.net/10/11711/2010/
doi:10.5194/acpd-10-11711-2010
© Author(s) 2010. This work is distributed
under the Creative Commons Attribution 3.0 License.
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This discussion paper has been under review for the journal Atmospheric Chemistry and Physics (ACP). Please refer to the corresponding final paper in ACP.
Diurnal variations of humidity and ice water content in the tropical upper troposphere
P. Eriksson1, B. Rydberg1, M. Johnston1, D. P. Murtagh1, H. Struthers2, S. Ferrachat3, and U. Lohmann3
1Department of Radio and Space Science, Chalmers University of Technology, Gothenburg, Sweden
2Department of Applied Environmental Science, Stockholm University, Sweden
3Institute of Atmospheric and Climate Science, ETH Zurich, Switzerland

Abstract. Observational results of diurnal variations of humidity from Odin-SMR and AURA-MLS, and cloud ice mass from Odin-SMR and CloudSat are presented for the first time. Comparisons show that the retrievals of humidity and cloud ice from these three satellite instruments are in good agreement. The retrieved data are combined from four almost evenly distributed times of the day allowing mean values, amplitudes and phases of the diurnal variations around 200 hPa to be estimated. This analysis is applied to six climatologically distinct regions, five located in the tropics and one over the subtropical northern Pacific Ocean. The strongest diurnal cycles are found over tropical land regions, where the amplitude is in the order of 6 %RHi for humidity and 50% for ice mass. The greatest ice mass is for these regions found during the afternoon, and the humidity maximum is observed to lag this peak by ~6 h. Over tropical ocean regions the variations are smaller and the maximum in both ice mass and humidity are found during the early morning. Observed results are compared with output from three climate models (ECHAM, EC-EARTH and CAM3). Direct measurement-model comparisons were not possible because the measured and modelled cloud ice masses represent different quantities. To make a meaningful comparison, the amount of snow had to be estimated from diagnostic parameters of the models. There is a high probability that the models underestimate the average ice mass (below the 1-σ uncertainty). The models show also clear deficiencies when it comes to amplitude and phase of the regional variations, but to a varying degree.

Citation: Eriksson, P., Rydberg, B., Johnston, M., Murtagh, D. P., Struthers, H., Ferrachat, S., and Lohmann, U.: Diurnal variations of humidity and ice water content in the tropical upper troposphere, Atmos. Chem. Phys. Discuss., 10, 11711-11750, doi:10.5194/acpd-10-11711-2010, 2010.
 
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