Mechanism and prediction of the new Arctic climate system
Arctic is entering into a new era where there is more open ocean in summer and increasing area of newly-formed sea ice in winter. Meanwhile, the new Arctic is undergoing a deep warming extending from the interior ocean to the upper troposphere. It implies significant changes of ocean conditions, atmosphere circulations and climate patterns, bringing challenges to the implementation of existing knowledge on the prediction of new Arctic climate system.
NICEST-2 - the second phase of the Nordic Collaboration on e-Infrastructures for Earth System Modeling focuses on strengthening the Nordic position within climate modeling by leveraging, reinforcing and complementing ongoing initiatives.
NICEST-2 focuses on strengthening the Nordic position within climate modeling by leveraging, reinforcing and complementing ongoing initiatives. It builds on previous efforts within NICEST (a 3-year NeIC project as of 2017-01) and NordicESM (3-year NordForsk funded project from 2014-12).
NICEST2 is funded by the Nordic e-Infrastructure Collaboration (NeIC) which facilitates development and operation of high-quality e-infrastructure solutions in areas of joint Nordic interest.
Role of ocean dynamics and Ocean-Atmosphere interactions in Driving cliMAte variations and future Projections of impact-relevant extreme events
Funded by the JPI CLIMATE and JPI OCEANS joint call on next generation climate science in Europe for oceans, ROADMAP aims to expand current understanding of how the Northern Hemisphere (NH) ocean surface state and ocean dynamics influence the extratropical atmospheric circulation, as well as associated impact-relevant weather and climate extremes, across space and time scales, short-synoptic to decadal-planetary, under both present day and future climate conditions.
4SICE is a four-year project co-funded by the Research Council of Norway and the Ministry of Science and Technology of China.
The high latitude regions have warmed faster than the global average in recent decades, leading to a dramatic decline in sea-ice extent and thickness. These sea-ice changes vastly impact the polar environment, ecosystem, and local communities - They bring about both risks and opportunities for human activities in polar regions, e.g., scientific missions, tourism, fisheries, shipping, natural resource exploitation and wildlife management.
SKD-PARCIM is a strategic project at the Bjerknes Center for Climate Research (2022-2025) that combines novel model devellopements, improved paleoproxy observations, and understanding of multidecadal climate variability. Paleo-proxy observations will be used to produced an online climate reanalysis of the past milenium. They will also be used to mitigate long lasting model bias in climate models.
The project will be organised in 3 work packages
WP1 bring expertise on marine-based multi-proxy reconstructions (sediment core data and sclerochronological data). We will focus on improving the age models for the last 150 years in selected North Atlantic sediment cores, which will propagate down-core and improve the overall accuracy and precision of the sediment-based age models for the past millennium.
URSA-MAJOR will redress of education and training for Smart-City development.
URSA MAJOR (Urban Sustainability in Action: Multi-disciplinary Approach through Jointly Organized Research schools) – integrates research advances and education into a holistic socioenvironmental program for Smart Cities. The project targets future urban stakeholders promoting the Green Deal transformations. It focusses on the regions of amplified climate change where urban areas have urgent needs to improve their sustainability and resilience, and where the cost of maladaptation is intolerably high.
Earth’s climate is a very complex system, and it is not easy to understand with all its components – the main ones being ocean, land, atmosphere, and sea ice. Nevertheless, scientists have been trying for decades to predict future changes in climate with numerical models. These models keep getting better, but all components have systematic errors to some degree. Decreasing errors and thereby predicting the future climate more reliably will benefit society by allowing us to better adapt to climate change.
About every 14 years, a significant temperature change is observed in the ocean between Greenland and Svalbard. Why, you wonder? Well, the Gulf Stream transports warm water northwards and on a regular basis, the water is even warmer and saltier than normally. Thesevariationsare regular, but can we predict these changes reliably?
