Retrieval of water vapor in the atmosphere and its spectral content

From OLCI to GPS

verfasst von

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

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.

Organisationseinheit(en)

Institut für Meteorologie und Klimatologie

Externe Organisation(en)

Agencia Estatal de Meteorología (AEMET)
Helmholtz-Zentrum Potsdam Deutsches GeoForschungsZentrum (GFZ)
Freie Universität Berlin (FU Berlin)

Typ

Aufsatz in Konferenzband

Publikationsdatum

2023

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Elektronische, optische und magnetische Materialien, Physik der kondensierten Materie, Angewandte Informatik, Angewandte Mathematik, Elektrotechnik und Elektronik

Ziele für nachhaltige Entwicklung

SDG 13 – Klimaschutzmaßnahmen

Elektronische Version(en)

https://doi.org/10.1117/12.2678381 (Zugang: Geschlossen)