https://repository.cyi.ac.cy/handle/123456789/850 Sat, 02 May 2026 07:03:52 GMT 2026-05-02T07:03:52Z https://repository.cyi.ac.cy/handle/CyI/2565 Title: Test Test Master's Thesis Authors: Katsouras, Dimitrios Abstract: Lorem ipsum dolor sit amet, consectetur adipiscing elit. Integer egestas a augue sed volutpat. Maecenas aliquet bibendum nulla, at pretium sem aliquam et. Nam gravida imperdiet justo, eget hendrerit tellus consectetur at. Aliquam sapien diam, rhoncus eget enim quis, egestas aliquam augue. Pellentesque quis dui non elit iaculis lacinia. Proin aliquam sapien erat, in efficitur nibh accumsan at. Vestibulum maximus interdum enim, eget pellentesque ex. Vivamus egestas non erat at ullamcorper. In feugiat mi metus, ut viverra lorem pharetra in. Duis eget consectetur dolor. Mauris rutrum laoreet suscipit. Ut facilisis hendrerit est, eget malesuada massa pellentesque eu. Sed mollis orci vitae augue condimentum pellentesque. Nunc imperdiet convallis mi bibendum luctus. Vestibulum id justo ligula. Sed in rhoncus quam. Sed eu quam nec lorem ultricies mollis. Mauris tempor mauris at orci accumsan condimentum. Donec congue finibus mauris, pulvinar cursus quam rhoncus et. Cras lobortis risus non venenatis ullamcorper. Nulla facilisi. Duis auctor, dui quis aliquet accumsan, eros neque consequat nisl, a feugiat eros lacus nec ipsum. Class aptent taciti sociosqu ad litora torquent per conubia nostra, per inceptos himenaeos. Donec mollis nisl in eros fringilla, non maximus orci pulvinar. Description: Lorem ipsum dolor sit amet, consectetur adipiscing elit. Integer egestas a augue sed volutpat. Maecenas aliquet bibendum nulla, at pretium sem aliquam et. Nam gravida imperdiet justo, eget hendrerit tellus consectetur at. Aliquam sapien diam, rhoncus eget enim quis, egestas aliquam augue. Pellentesque quis dui non elit iaculis lacinia. Proin aliquam sapien erat, in efficitur nibh accumsan at. Vestibulum maximus interdum enim, eget pellentesque ex. Vivamus egestas non erat at ullamcorper. In feugiat mi metus, ut viverra lorem pharetra in. Duis eget consectetur dolor. Mauris rutrum laoreet suscipit. Ut facilisis hendrerit est, eget malesuada massa pellentesque eu. Sed mollis orci vitae augue condimentum pellentesque. Nunc imperdiet convallis mi bibendum luctus. Vestibulum id justo ligula. Sed in rhoncus quam. Sed eu quam nec lorem ultricies mollis. Mauris tempor mauris at orci accumsan condimentum. Donec congue finibus mauris, pulvinar cursus quam rhoncus et. Cras lobortis risus non venenatis ullamcorper. Nulla facilisi. Duis auctor, dui quis aliquet accumsan, eros neque consequat nisl, a feugiat eros lacus nec ipsum. Class aptent taciti sociosqu ad litora torquent per conubia nostra, per inceptos himenaeos. Donec mollis nisl in eros fringilla, non maximus orci pulvinar. Tue, 01 Jan 2008 00:00:00 GMT https://repository.cyi.ac.cy/handle/CyI/2565 2008-01-01T00:00:00Z https://repository.cyi.ac.cy/handle/CyI/2174 Title: Aeolian Dust Modelling Over Cyprus with WRF Authors: Satraki, Margarita Abstract: Aeolian Dust is known to have severe effects on public health. We deploy the WRF-Chem model with two different dust emission schemes (GOCART and AFWA) to simulate the emission, transport and deposition of the dust over the Mediterranean basin and major dust sources in the Middle East and the North Africa region. The results of the model are evaluated against surface and atmospheric column observations at ground-based stations through the domain (AERONET), in Europe (EMEP) and in Cyprus (DLI and CUT LIDAR). We assess and compare the skill of the models in forecasting dust events with the objective to identify the best-performing configuration in the operational setup of the department of Meteorology. The results show that both schemes perform well compared to the observations identifying important hotspots and with the large majority of stations’ results being within a factor of 2 of the observations. Most of the stations in the region of interest (excluding northern countries or countries close to the Alps) show small values for mean bias error (most between -0.1 and 0.1 for AOD and between -15 and 15 µg/m3 for PM10). There is also a degree of underestimation from the model in many locations giving mostly negative NMBE. The discrepancy between the model results and the observations can be attributed to the absence of secondary anthropogenic sources of PM. Overall GOCART has a closer mean to the observations (10-30% smaller NBE for GOCART) and AFWA has a smaller spread of the values (25-30% smaller IQR of NBE for AFWA), leading us to conclude that AFWA would have the best results with additional calibration. The results also demonstrate comparable behaviour to models, such as CAMS, with indicative cases studied showing commensurable results (errors of about 21-46% for medians with our models and 50-157% with CAMS). Fri, 01 Sep 2023 00:00:00 GMT https://repository.cyi.ac.cy/handle/CyI/2174 2023-09-01T00:00:00Z