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Storm Ice Oil Wind Wave Watch System (SIOWS): Web GIS application for monitoring the Arctic

Name
Alexander
Surname
Myasoedov
Scientific organization
Russian State Hydrometeorological University
Academic degree
PhD
Position
Researcher, Head of SOLab Developers Group
Scientific discipline
Earth Sciences, Ecology & Environmental Management
Topic
Storm Ice Oil Wind Wave Watch System (SIOWS): Web GIS application for monitoring the Arctic
Abstract
The Satellite Oceanography Laboratory (SOLab) has developed the Storm Ice Oil Wind Wave Watch System (SIOWS) to solve the main issues encountered with satellite data and to provide users with fast and flexible tool for search, synergetic analysis and extraction of satellite data, model results and new satellite products created using developed methods and approaches for the purpose of early warning of hazardous weather events in the Arctic.
Keywords
Arctic, web GIS, remote sensing, monitoring, forecasting, satellite data, modeling, synergistic analysis, data archives, interactive visualization
Summary

Working with satellite data, has long been an issue for users which has often prevented from a wider use of these data because of Volume, Access, Format and Data Combination. The purpose of the Storm Ice Oil Wind Wave Watch System (SIOWS, http://arctic.solab.rshu.ru/) developed at Satellite Oceanography Laboratory (SOLab) is to solve the main issues encountered with satellite data and to provide users with a fast and flexible tool to select and extract data within massive archives that match exactly its needs or interest improving the efficiency of the monitoring system of geophysical conditions in the Arctic.
The following features will be implemented in the advanced SIOWS: Arctic portal (Fig. 1):
• implementation of the improved/new geophysical products developed in the Satellite Oceanography Laboratory,
• implementation of improved/new technologies of storage, processing and visualization of operational and archive data, including data overlay, their reprojection, visualization, animation and joint processing directly through a Web GIS SIOWS,
• implementation of the synergistic analysis of historical data,
• operational monitoring of the current state and dynamics of the system "ocean-atmosphere-cryosphere" in the Arctic region,
• forecast, based on the model of atmosphere dynamics WRF with assimilation of new satellite products - moisture content of the atmosphere, the sea-level pressure, wind, and sea surface temperature, and on the modifying resistance law, taking into account the features of the heat and momentum exchange on the border of the ocean-atmosphere system during high winds .
• prediction of anomalously high waves generation by moving atmospheric formation and their distribution in "real time" using the combination of the wind wave generation model and the WRF model
• identification of polar cyclones, vortex, oil spills, internal waves and swell waves
• use of  created polar cyclones monitoring complex system for analysis of atmospheric, oceanic and ice conditions that determine origin and development of  polar cyclones, and identifying patterns in their spatial distribution, intensity and frequency.

Fig. 1. Wind vectors from several ASCAT scatterometer datasets on 6 February 2016 displayed in SIOWS: Arctic Portal.