|Keywords||Sea Surface Temperature, Mesoscale Meteorological Models, Sea Breeze, Complex Topography, Geographical Information Systems, Remote Sensing|
|Abstract||Inhomogeneous, time-dependent coastal flows, as a result of the juxtaposition of contrasting thermal environments, are characteristic mesoscale features the importance of which has been highlighted in numerous studies. There are a number of factors with a strong impact on local circulation phenomena, such as sea surface temperature (SST), coastline configuration, topography and landuse. SST can have an important influence on the behavior of the overlying atmosphere, such as the forcing of convection which leads to showers and the formation of sea and land breeze. The coastal marine atmospheric boundary layer appears to be far from horizontally homogeneous and isotropic; it does not have a distinct diurnal pattern, but can be stable or unstable depending on the air type which is advected, relative to the sea surface temperature. Therefore, the use of accurate sea surface temperature fields in weather forecast models can be important. Τhe objective of the present study falls within the above mentioned framework. The Princeton Oceanic Model (POM) was applied to the coastal area of Athens and as a result, hourly base SST data were derived. Thereinafter, mathematical simulations with the non-hydrostatic mesoscale model MEMO were performed to analyse and evaluate changes induced by the spatial and diurnal variation of SST on local circulation phenomena, along the Attica peninsula. In this study, two multi-day periods, characterised by stagnant meteorological conditions were selected. Satellite data of land and sea surface temperature, orography and landuse were used in order to achieve more accurate simulations. The results demonstrated successful multi-day simulations, as well as the importance of including spatial and temporal high-resolution sea surface temperature data in model simulations for studying local circulation phenomena.|
|Full text||Full Text in PDF (581 KB)
|Included Refrences||12 References (List...)|
|Cited by other Articles||0 Citations (List...)|
|Name||Affiliation||Home page||Total pubs|
|Douros I||Laboratory of Heat Transfer and Environmental Engineering, Aristotle University Thessaloniki, Box 483, 54124 Thessaloniki, Greece||7|
|Korres GM||Assistant Professor at University of the Aegean, Department of Geography, University of Hill, Mitilene: 81100, Lesbos, Greeceemail@example.com||4|
|Moussiopoulos N||Laboratory of Heat Transfer and Environmental Engineering, Aristotle University of Thessalonikifirstname.lastname@example.org||56|
|Nitis T||Laboratory of Heat Transfer and Environmental Engineering, Aristotle University, Box 483, GR 54124 Thessaloniki, Greeceemail@example.com||1|
|Tsegas G||Laboratory of Heat Transfer and Environmental Engineering, Aristotle University Thessaloniki, Box 483, GR 54 124 Thessaloniki, Greece||6|
Article is cited by:
References included in article:
|Order of appearence||Full citation||SRCosmos Link|
|1||Doyle JD, Warner TT, |
(1993), 'The impact of the sea-surface temperature resolution on mesoscale coastal processes during Gale IOP 2', Mon. Weather Rev., 121, 313-334.
|2||Nitis T, Kitsiou D, Klaic ZB, Prtenjak MT, Moussiopoulos N, |
(2005), 'The effects of basic flow and topography on the development of the sea breeze over a complex coastal environment', Q J Roy. Meteor. Soc., 131, 305-327.
|3||De-Foy B, Molina LT, Molina MJ, |
(2006), 'Satellite-derived land surface parameters for mesoscale modelling of the Mexico City basin', Atmos. Chem. Phys., 6, 1315-1330.
|4||Emery WJ, Castro S, Wick GA, Schluessel P, Donlon C, |
(2001), 'Estimating sea surface temperature from infrared satellite and in situ temperature data', B AM. Meteorol. Soc., 82, 2773-2785.
|5||United Nations, (2004),'Population Division, World Urbanization Prospect: The 2003 Revision', ESA/P/WP, 190, 24.|
|6||Moussiopoulos N, |
(1995), 'The Eumac Zooming-Model, A Tool for Local-To-Regional Air-Quality Studies', Meteorol. Atmos. Phys., 57, 115-133.
|7||Nitis T, Klaic ZB, Kitsiou D, Moussiopoulos N, |
(2007) ,'Meteorological simulations with use of satellite data for assessing urban heat island under summertime anticyclonic conditions', Int. J Environ. Pollut., in press.
|8||Wan ZM, Zhang YL, Zhang QC, Li ZL, |
(2002), 'Validation of the land-surface temperature products retrieved from Terra Moderate Resolution Imaging Spectroradiometer data', Remote Sens. Environ., 83, 163-180.
|9||Esaias WE, Abbott MR, Barton I, Brown OB, Campbell JW, Carder KL, Clark DK, Evans RH, Hoge FE, Gordon HR, Balch WM, Letelier R, Minnett PJ, |
(1998), 'An overview of MODIS capabilities for ocean science observations', IEEE T Geo. Remote, 36, 1250-1265.
|10||Nittis K, Perivoliotis L, Korres G, Tziavos C, Thanos I, |
(2006), 'Operational monitoring and forecasting for marine environmental applications in the Aegean Sea’, Environ. Modell. Softw., 21, 243-257.
|11||Korres G, Hoteit I, Triantafyllou G, |
(2007), 'Data assimilation into a Princeton Ocean Model of the Mediterranean Sea using advanced Kalman filters', J Marine Syst., 65, 84-104.
|12||Willmott CJ, |
(1982), 'Some comments on the evaluation of model performance', B AM. Meteorol. Soc., 63, 1309-1313.