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Analysis of Measurement Statistics and NLC Occurrence Variations: Insights from Fiedler et al. (2011)

This document summarizes the findings from Fiedler et al. (2011) on measurement statistics related to beta limits, the influence of sampling on seasonal and daily variations, and diurnal variations of integrated data sets spanning from 1997 to 2010. It discusses occurrence rates and variations in amplitudes and phases in relation to tides. Additionally, it explores non-linear cloud (NLC) occurrence, temperature correlations, and implications for atmospheric measurements from instruments operating at specific local times.

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Analysis of Measurement Statistics and NLC Occurrence Variations: Insights from Fiedler et al. (2011)

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  1. ALOMAR RMR-Lidar – Norderstedt, 2011

  2. Measurement statistics for different beta limits Fiedler et al. – ACPD, 2011

  3. Influence of sampling: fit of seasonal + daily variation Fiedler et al. – ACPD, 2011

  4. Influence of sampling on mean values Fiedler et al. – ACPD, 2011

  5. Diurnal variation for integrated data set 1997-2010 Fiedler et al. – ACPD, 2011

  6. occurrence rates Tides: variation of amplitudes and phases altitudes maximum backscatter total backscatter Fiedler et al. – ACPD, 2011

  7. NLC (top) and LIMA results Fiedler et al. – ACPD, 2011

  8. Absence (red) and presence (blue) or NLC: Temperatures (LIMA) zonal wind: LIMA, MF-radar meridional wind: LMA, MF-radar Fiedler et al. – ACPD, 2011

  9. Tides in NLC occurrence (blue) and LIMA temperatures (red) Fiedler et al. – ACPD, 2011

  10. Fiedler et al. – ACPD, 2011

  11. What an instrument would see if it measures at a certain LT only Fiedler et al. – ACPD, 2011

  12. Fiedler et al. – ACPD, 2011

  13. Correlation of NLC occurrence freq. with Ly-alpha and with blue: all 14 years red: ignore `outliers‘ T(83km) from LIMA Fiedler et al. – ACPD, 2011

  14. Fiedler et al. – ACPD, 2011

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