Meet the MISSION ATLANTIC Scientists: Yuri Artioli, Co-Lead on Dynamics of ecosystem state and resources (WP6)
Where are you from and where are you currently based?
I’m from Padova (Italy) but living in Plymouth (UK) since end of 2008.
Academic background and research areas:
I have a degree on Environmental Engineering and a PhD on Environmental Modelling. My research focusses on implementing Marine Ecosystem Models to understand how ocean and coastal areas respond to global and local stressors, like climate change, pollution, fishing. I also very much strive to make my models useful for decision makers to support a better management of the marine environment so that society can continue to benefit from it in a sustainable way.
Current role and work within MISSION ATLANTIC:
I’m co-leader of WP6 “Dynamics of ecosystem state and resources” where a suite of modelling tools will be used together with observations to assess current and future state of the Atlantic Ocean.
In particular, I’m leading the implementation of the biogeochemical component of the coupled model system NEMO-ERSEM at global scale.
Do you have anything about the Atlantic Ocean you would like to share?
The marine environment seems an almost infinite space able to absorb any impact, but is actually a delicate system providing a long list of benefits that that is threatened by human actions.
Favorite Ocean fact:
“The ocean absorbed about 90% of the extra heat in the atmosphere in the last 50 years has been absorbed by the ocean, without the ocean the air temperature would have increased of about 36 degrees”.
What is your highlight from the project so far?
It is the first time that the NEMO-ERSEM modelling system is being implemented at global scale with several new features (e.g. explicit representation of tides and riverine contribution to nutrients budgets) with such a horizontal resolution (0.25 degrees). This will represent a significant contribution for the integrated Ecosystem Assessment of the Atlantic Ocean and also allow to better understanding the uncertainty of Earth System Model of the type contributing to IPCC.