PHIDIAS: Steps forward in detection and identification of anomalous atmospheric events

07 Sep 2020

 

Description and scope:

Detrimental environmental change has been receiving a great deal of attention in the news media for some time. Rapidly evolving satellite data provide opportunities for the monitoring of changing environments and a new engine for scientific discovery.

From 2021, European atmospheric sounds missions will deliver each day several terabytes of raw datacubes at high spatial/temporal/spectral resolutions. This represents an unprecedented amount of atmospheric data. A key challenge is to provide scientists and users with approaches and capacities to comprehensively deal with all the available information.

PHIDIAS has set up a data area testing case in "Intelligent screening of a large amount of satellite data for detection and identification of anomalous atmospheric composition events", which will demonstrate new approaches for detecting, filtering and qualifying scenes and events of interest among the incoming flux of satellite atmospheric data, in view of their dedicated exploitation. Innovative methods for the analysis of atmospheric satellite data are associated with high performance computing (HPC) and high performance data analytics (HPDA) capacities for developing intelligent screening approaches in an operational context, for the detection of extreme atmospheric composition events such as wildfires, urban pollution episodes, industrial incidents, etc. and the monitoring of their impact on air quality and climate.

PHIDIAS is organising a webinar entitled "Steps forward in detection and identification of anomalous atmospheric events" to be held on Tuesday 13th October 2020 at 15:00 to 16:00 CEST, in collaboration with the ESCAPE project . The webinar aims to showcase how PHIDIAS is going to improve the usage of HPC and high performance data management services for the development of intelligent screening approaches and the exploitation of large amounts of satellite atmospheric data in an operational context.

 

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Who should attend:

  • The scientific community searching for efficient specific/thematic analyses of the satellite data provided by new generations of space-based atmospheric sounders (e.g. Sentinel 5P, 5, 4, MetOp/IASI and MetOp-SG/IASI-NG, MTG/IRS,..);
  • The operational services interested by alternative exploitation of atmospheric sounders information (e.g. offline verification of extreme events occurences and evolution) at national/European level; and
  • The services providers for implementing dedicated applications for end-users.

By participating you will be able to:

  • Understand how this PHIDIAS use case is making use of HPC and high performance data management services for the development of intelligent screening approaches;
  • How multi-disciplinary satellite atmospheric data, algorithms, and computing platforms will be federated in PHIDIAS's system;
  • Learn how PHIDIAS is developing innovative services for the processing of large amount of future atmospheric data.

Agenda:

Time Title Speaker
15:00 - 15:05 Introduction of the PHIDIAS project Francesco Osimanti, Trust-IT Services, PHIDIAS WP7 Leader
15:05 - 15:15 Thematic and objective: proposed approaches and available Sentinel measurements Pascal Prunet, SPASCIA & PHIDIAS WP4 Leader
15:15 - 15:25 HPC/HPDA Infrastrucuture and capacities for implementing intelligent screening in an operational context Nicolas Pascal, ICARE & SPASCIA Technical Partner
15:25 - 15:30 Q&A Session  
15:30 - 15:40 Implementation of processing and products Dominique Jolivet, HYGEOS & SPASCIA Technical Partner
15:40 - 15:50 ESCAPE: A dive into a Datalake for Open Science Xavier Espinal, CERN & ESCAPE project
15:50 - 16:00 Q&A and Closing Remarks  

 

 

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Publication date: 04 Sep 2020