The Use of Geoinformatics in Coastal Atmospheric Transport Phenomena: The Athens Experiment
Coastal environment, an area where abrupt changes occur between land and sea, significantly affects the quality of life of a high portion of the Earth’s population. Therefore, the wide range of phenomena observed in coastal areas need to be assessed reliably regarding both data sets and methods appl...
Guardado en:
| Autores principales: | , |
|---|---|
| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
MDPI AG
2021
|
| Materias: | |
| Acceso en línea: | https://doaj.org/article/d7105e16fa0349b980a1eeffd8789329 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| Sumario: | Coastal environment, an area where abrupt changes occur between land and sea, significantly affects the quality of life of a high portion of the Earth’s population. Therefore, the wide range of phenomena observed in coastal areas need to be assessed reliably regarding both data sets and methods applied. In particular, the study of coastal atmospheric transport phenomena which affect a variety of activities in coastal areas, using modeling techniques, demand accurate estimations of a range of meteorological and climatological variables related to the planetary boundary layer. However, the accuracy of such estimations is not obvious. Geoinformatics is able to fill this gap and provide the framework for the design, processing and implementation of accurate geo-databases. This paper aims to highlight the role of geoinformatics in the context of coastal meteorology and climatology. More precisely, it aims to reveal the effect on the performance of a Mesoscale Meteorological Model when a new scheme regarding the input surface parameters is developed using satellite data and application of Geographical Information Systems. The development of the proposed scheme is described and evaluated using the coastal Metropolitan Area of Athens, Greece as a case study. The results indicate a general improvement in the model performance based on the statistical evaluations of three meteorological parameters (temperature, wind speed and wind direction) using four appropriate indicators. The best performance was observed for temperature, then for wind direction and finally for wind speed. The necessity of the proposed new scheme is further discussed. |
|---|