Abstract

Abstract. Atmospheric gravity waves generated downstream by orography in a stratified airflow are known as lee waves. In the present study, such mesoscale patterns have been detected, over water and in clear-sky conditions, using the Advanced Infra-Red WAter Vapour Estimator (AIRWAVE) total column water vapour (TCWV) dataset, which contains about 20 years of day and night products, obtained from the thermal infrared measurements of the Along Track Scanning Radiometer (ATSR) instrument series. The high accuracy of such data, along with the native 1 km×1 km spatial resolution, allows the investigation of small-scale features such as lee waves. In this work, we focused on the Mediterranean Sea, the largest semi-enclosed basin on the Earth. The peculiarities of this area, which is characterised by complex orography and rough coastlines, lead to the development of these structures over both land and sea. We developed an automatic tool for the rapid detection of areas with high probability of lee wave occurrence, exploiting the TCWV variability in spatial regions with a 0.15∘×0.15∘ area. Through this analysis, several occurrences of structures connected with lee waves have been observed. The waves are detected in spring, autumn and summer seasons, with TCWV values usually falling in the range of 15 to 35 kg m−2. In this article, we describe some cases over the central (Italy) and the Eastern Mediterranean Basin (Greece, Turkey and Cyprus). We compared a case of perturbed AIRWAVE TCWV fields due to lee waves occurring over the Tyrrhenian Sea on 18 July 1997 with the sea surface winds from the synthetic aperture radar (SAR), which sounded the same geographical area, finding a good agreement. Another case has been investigated in detail: on 2 August 2002 the Aegean Sea region was almost simultaneously sounded by both the second sensor of the ATSR series (ATSR-2) and the Advanced ATSR (AATSR) instruments. The AIRWAVE TCWV fields derived from the two sensors were successfully compared with the vertically integrated water vapour content simulated with the Weather Research and Forecasting (WRF) numerical model for the same time period, confirming our findings. Wave parameters such as amplitude, wavelength and phase are described through the use of the Morlet continuous wavelet transformation (CWT). The performed analysis derived typical wavelengths from 6 to 8 km and amplitudes of up to 20 kg m−2.

Highlights

  • Atmospheric gravity waves (AGWs) may be generated in a stably stratified atmosphere when an airflow impinges on orographic obstacles, like isolated mountains or islands

  • We compared a case of perturbed Advanced Infra-Red WAter Vapour Estimator (AIRWAVE) total column water vapour (TCWV) fields due to lee waves occurring over the Tyrrhenian Sea on 18 July 1997 with the sea surface winds from the synthetic aperture radar (SAR), which sounded the same geographical area, finding a good agreement

  • We have identified lee wave occurrence over the Mediterranean Basin from the AIRWAVE total column water vapour dataset

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Summary

Introduction

Atmospheric gravity waves (AGWs) may be generated in a stably stratified atmosphere when an airflow impinges on orographic obstacles, like isolated mountains or islands. Background concentrations of atmospheric constituents, such as the total column water vapour (TCWV), are perturbed by AGWs. TCWV fields, derived, for example, from satellite instruments, can be used for lee wave identification. Mountain lee waves have been identified in the MODIS TCWV product derived from near-infrared (NIR) 0.94 μm measurements, which are sensitive to atmospheric features very close to the surface (Lyapustin et al, 2014). A subset of the identified occurrences is compared both with correlative measurements from the SAR instrument aboard the second European Remote Sensing (ERS-2) satellite and with WRF model simulations, strengthening the reliability of the lee wave identification in the AIRWAVE dataset.

Lee wave detection using the AIRWAVE dataset
Validation of the lee wave detections
ATSR-2 and AATSR near-simultaneous measurements and WRF model comparison
ATSR-2 and SAR comparison
Lee wave characterisation
Findings
Conclusions
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