predictontime.org website

PredictOnTime – Integrated coastal ocean observing and predicting

Focus Area

FA 1: Integrated observing and modelling for short term coastal forecasting and early warnings

Lead Institution

CMCC Foundation – Euro-Mediterranean Centre on Climate Change Foundation – Italy – www.cmcc.it

Lead Institution Contact Person

Giovanni Coppini

List of Partner Institutions

Lead Insitutions

Giovanni Coppini, CMCC, (IT)

Guimei Liu NMEFC (China),

Henning Wehde EUROGOOS (Belgium)

Partners:

Pierre De Mey, LEGOS (U.Toulouse/CNRS/CNES/IRD) (France),

Alan Blumberg, Jupiter (USA),

Kim Kobb, Georgia Tech (USA),

Vinayachandran, P.N., Institute of Science Bengaluru, India

Kanna Rajan, SIFT Inc. (USA),

Rafael Schiller, Fugro, Houston, Texas,USA

Lermusiaux, MIT (USA),

Y.Krestenitis and Yannis Androulidakis U. Thessaloniki (Greece),

Yosuke Fujii, Japan Meteorological Agency (Japan),

Shun Ohishi, RIKEN (Japan),

Marilaure Grégoire, Faculté des Sciences, University of Liege, (Belgium)

Rolando Aznar, NOLOGIN (Spain),

Juliet Hermes University of Cape Town, South African Environmental Observation Network (South Africa)

Peter Zavialow (P.P.Shirshov Institute of Oceanology, Moscow, Russia)

Joao Zouza Met-Ocean Solution Meteo service New Zeland (NZ)

Mauro Cirano Federal University of Rio de Janeiro (Brazil)

Claudia Simonato, CIMA – Universidad de Buenos Aires (Argentina)

Georg Umgiesser, CNR-ISMAR (Italy)

Baptiste Mourre, SOCIB (Spain)

Greg Cowie, University of Edinburgh (UK)

Vassilis Vervatis, University of Athens (Greece)

Jerome Aucan, Pacific Commuty Center for Ocean Science (PCCOS) ( Nuova Caledonia)

Annette Samuelsen, NERSC (Norway)

Tommy Bornman, Nelson Mandela University, South African Environmental Observation Network (South Africa)

Summary

The Core project “PredictOnTime” will deliver new predictive capacities, services and products for the global coastal ocean based on innovative integrated observing systems and forecasting systems implemented and tested at selected Pilot areas.

The PredictOnTime Action will deliver a relocatable, easy to be deployed, cost effective observing and forecasting system of systems as well as best practices. The observing and forecasting systems will be deployed and tested with users and stakeholders in Pilot coastal areas in more than 20 nations in the global coastal ocean. 

We will  focus on observing and predicting natural extreme events in the global coastal ocean on due time and with the appropriate accuracy so that impacts on natural and human resources and assets will be minimized. 

We will develop and consolidate the citizen science observing capacities and support through the new predictive capability the innovative and sustainable applications for coastal solutions/services.

Objectives of the project connected to the Ocean Decade Outcomes

Our Core Project will improve the coastal observing systems and forecasting systems to drive a transformative change on how to predict the global coastal ocean, testing, evaluating and assessing observing and modelling capacities.

We will contribute to the overall objective of CoastPredict Programme by:

  • Improving the understanding of functioning and predicting capacity of this complex global coastal ocean where the impacts of climate change are amplified.
  • Contribute to the UN Ocean Decade objective of “A predicted ocean” by improving our understanding of the coastal area processes using a multi-disciplinary and integrated approach.
  • Advance the observing and prediction capacity for a better understanding of the coastal ocean dynamics with a focus in the short time scale events and extreme events.
  • Enhance coastal observing and prediction systems in under-resourced countries supplying low cost, easily transferable equipment, relocatable forecasting systems as well as best practices.
Key outcomes

Our Decade Action will consist of a Core Project that will achieve the following outcomes and outputs:

  1. Observe and predict natural extreme events in the global coastal ocean on due time and with the appropriate accuracy so that impacts on natural and human resources and assets will be minimized.
  2. Augment the integrated and comprehensive knowledge and prediction capabilities of the global coastal ocean for short time scale events.
  3. Define and deliver advance and innovative integrated coastal observing and forecasting systems, complementing the open ocean ones for selected coastal areas.
  4. Develop and consolidate the citizen science observing capacities.
  5. Improved, multidisciplinary and short term predictive capabilities for the coastal zone.
  6. Support through the new predictive capability the innovative and sustainable applications for coastal solutions/services.
  7. Consolidated collaborative scientist/stakeholders and society context for coastal prediction.
  8. Operational prediction systems in places and tested at the identified Pilot areas.
  9. Identification of frameworks (e.g. institutional, private) and recurrent funding for the operational prediction activities expected as the legacy of the Project beyond the Ocean Decade.
  10. Engage coastal societies in designing, co-develop and test the ocean observing and forecasting systems.
  11. Compile and make accessible best practices for coastal observing and forecasting systems (including in under-resourced countries).
  12. Create responsive, co-designed observing and forecasting programs that are reasonably cheap to run and don’t require expensive equipment and HPC resources.
  13. Sustainably train and capacitate people in under-resourced countries to use observing equipment, implement and run forecasting systems and analyse samples and data.
  14. Develop Standard Operating Procedures to ensure interoperability on key coastal essential variables globally.