A study aimed at retrieving sea surface wind fields of semi-enclosed basins from combined use of SAR imageryand a high resolution mesoscale numerical atmospheric model, is presented. Two consecutive ERS-2 SAR framesand a set of NOAA/AVHRR and MODIS images acquired over the North Tyrrhenian Sea on March 30, 2000were used for the analysis. SAR wind speeds and directions at 10 m above the sea surface were retrieved using thesemi-empirical backscatter model CMOD4. Surface wind vectors predicted by the meteorological ETA modelwere exploited as guess input to SAR wind inversion procedure. ETA is a three-dimensional, primitive equation,grid-point model currently operational at the National Centers for Environmental Prediction of the U.S.National Weather Service. The model was adapted to run with a resolution up to about 4.0 Km. It was foundthat the inversion methodology was not able to resolve wind speed modulations due to the action of anatmospheric gravity wave, called “lee wave”, which occurred in the analyzed area. A simple atmospheric wavepropagation model was thus used to account for the SAR observed surface wind speed modulation. Synergy withETA model outputs was further exploited in simulations where atmospheric parameters up-wind the atmosphericwave were provided as input to the lee wave propagation model.

Monitoring atmospheric gravity waves by means of SAR, MODIS imagery and high resolution ETA atmospheric model: a case study / Adamo, M; G., DE CAROLIS; Morelli, Sandra; Parmiggiani, F.. - ELETTRONICO. - SP-613:(2006). (Intervento presentato al convegno 1° SAR Oceanography workshop SEASAR 2006 "Advances in SAR Oceanography from ENVISAT and ERS missions tenutosi a Frascati, Italy nel 23-26 January 2006).

Monitoring atmospheric gravity waves by means of SAR, MODIS imagery and high resolution ETA atmospheric model: a case study

MORELLI, Sandra;
2006

Abstract

A study aimed at retrieving sea surface wind fields of semi-enclosed basins from combined use of SAR imageryand a high resolution mesoscale numerical atmospheric model, is presented. Two consecutive ERS-2 SAR framesand a set of NOAA/AVHRR and MODIS images acquired over the North Tyrrhenian Sea on March 30, 2000were used for the analysis. SAR wind speeds and directions at 10 m above the sea surface were retrieved using thesemi-empirical backscatter model CMOD4. Surface wind vectors predicted by the meteorological ETA modelwere exploited as guess input to SAR wind inversion procedure. ETA is a three-dimensional, primitive equation,grid-point model currently operational at the National Centers for Environmental Prediction of the U.S.National Weather Service. The model was adapted to run with a resolution up to about 4.0 Km. It was foundthat the inversion methodology was not able to resolve wind speed modulations due to the action of anatmospheric gravity wave, called “lee wave”, which occurred in the analyzed area. A simple atmospheric wavepropagation model was thus used to account for the SAR observed surface wind speed modulation. Synergy withETA model outputs was further exploited in simulations where atmospheric parameters up-wind the atmosphericwave were provided as input to the lee wave propagation model.
2006
1° SAR Oceanography workshop SEASAR 2006 "Advances in SAR Oceanography from ENVISAT and ERS missions
Frascati, Italy
23-26 January 2006
SP-613
Adamo, M; G., DE CAROLIS; Morelli, Sandra; Parmiggiani, F.
Monitoring atmospheric gravity waves by means of SAR, MODIS imagery and high resolution ETA atmospheric model: a case study / Adamo, M; G., DE CAROLIS; Morelli, Sandra; Parmiggiani, F.. - ELETTRONICO. - SP-613:(2006). (Intervento presentato al convegno 1° SAR Oceanography workshop SEASAR 2006 "Advances in SAR Oceanography from ENVISAT and ERS missions tenutosi a Frascati, Italy nel 23-26 January 2006).
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/467513
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? ND
social impact