Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/9097
Title: Visualization of ocean forecast in BYTHOS
Authors: Zhuk, Elena 
Zodiatis, George 
Nikolaidis, Andreas 
Stylianou, Stavros 
Karaolia, Andria 
Keywords: Forecast
Information technology
NetCDF
Online oceanographic data access
Issue Date: 1-Apr-2016
Publisher: SPIE
Source: 4th International Conference on Remote Sensing and Geoinformation of the Environment, RSCy 2016; Paphos; Cyprus; 4 April 2016 through 8 April 2016
Abstract: The Cyprus Oceanography Center has been constantly searching for new ideas for developing and implementing innovative methods and new developments concerning the use of Information Systems in Oceanography, to suit both the Center's monitoring and forecasting products. Within the frame of this scope two major online managing and visualizing data systems have been developed and utilized, those of CYCOFOS and BYTHOS. The Cyprus Coastal Ocean Forecasting and Observing System - CYCOFOS provides a variety of operational predictions such as ultra high, high and medium resolution ocean forecasts in the Levantine Basin, offshore and coastal sea state forecasts in the Mediterranean and Black Sea, tide forecasting in the Mediterranean, ocean remote sensing in the Eastern Mediterranean and coastal and offshore monitoring. As a rich internet application, BYTHOS enables scientists to search, visualize and download oceanographic data online and in real time. The recent improving of BYTHOS system is the extension with access and visualization of CYCOFOS data and overlay forecast fields and observing data. The CYCOFOS data are stored at OPENDAP Server in netCDF format. To search, process and visualize it the php and python scripts were developed. Data visualization is achieved through Mapserver. The BYTHOS forecast access interface allows to search necessary forecasting field by recognizing type, parameter, region, level and time. Also it provides opportunity to overlay different forecast and observing data that can be used for complex analyze of sea basin aspects.
URI: http://ktisis.cut.ac.cy/handle/10488/9097
ISBN: 978-162841923-8
Rights: © 2016 SPIE.
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

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