Retrieval of water vapor in the atmosphere and its spectral content: from OLCI to GPS

G. Kermarrec; X. Calbet; Z. Deng; C. Carbajal Henken; R. Preusker

doi:10.1117/12.2678381

19 October 2023 Retrieval of water vapor in the atmosphere and its spectral content: from OLCI to GPS

G. Kermarrec, X. Calbet, Z. Deng, C. Carbajal Henken, R. Preusker

Proceedings Volume 12730, Remote Sensing of Clouds and the Atmosphere XXVIII; 127300F (2023) https://doi.org/10.1117/12.2678381
Event: SPIE Remote Sensing, 2023, Amsterdam, Netherlands

Abstract

Understanding the tropospheric diabatic heating is essential for predicting Earth’s weather and climate. To reach that goal, information on Water Vapor (WV) in the atmosphere is mandatory. Unfortunately, monitoring WV is challenging, because of its high variability in both space and time. Particularly, advanced knowledge and modeling of its fine scale behavior would be beneficial to improve forecasting applications. In this contribution, we propose to compare and discuss the spectral content of dataset from two instruments recording WV content of the atmosphere, focusing on small scales: Ocean Land Color Instrument (OLCI) on board of Copernicus Sentinel-3 and Zenith Wet Delay (ZWD) retrieved from Global Navigation Satellite System (GNSS) observations. Kolmogorov‘s theory states that the structure function of passive scalar, or equivalently the temporal power spectrum (assuming Taylor frozen turbulence), should follow a given power law within the inertial range. Using the von Karman modelling, it is possible to assess the outer scale length of turbulence defined as the frequency where the spectrum saturates. For our analysis on WV small scales, we have selected a region around Lindenberg in Germany. We will discuss the spectral content of the retrieved observations and their specificity. We will highlight the potential of ZWD from GNSS observations to study daily variations of turbulence parameters.

Conference Presentation

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

G. Kermarrec, X. Calbet, Z. Deng, C. Carbajal Henken, and R. Preusker "Retrieval of water vapor in the atmosphere and its spectral content: from OLCI to GPS", Proc. SPIE 12730, Remote Sensing of Clouds and the Atmosphere XXVIII, 127300F (19 October 2023); https://doi.org/10.1117/12.2678381

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