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4-year PhD or 3-year mobility post doc for working on Fish Modelling in the Black Sea
This position is offered in the frame of the recently funded 4-year Horizon-Europe project NECCTON (New Copernicus Capability for Trophic Ocean Networks) and is available under a joint supervision at the Liège University (MAST-FOCUS group, Department of Astrophysics, Geophysics and Oceanography), the Royal Netherlands Institute for Sea Research (NIOZ) in the Nederland and the University of Maryland Center for Environmental Science (US). The research project aims at modelling the dynamics of selected fish species (e.g. anchovies, horse mackerel, sprat) in the Black Sea to assess the impact of past and projected environmental changes (e.g. deoxygenation, warming, fishing) on fish distribution and stocks.
How to Apply: The candidate should send by e-mail his/her curriculum vitae, full transcripts of Bachelor and Master studies (including notes), a covering letter of motivation, together with two references (name and email address), to Marilaure Grégoire (email: mgregoire@uliege.be).
The position will remain open until filled; but the selection will start from June 15th, 2023.
ULiège is strongly committed to promoting equality and diversity, and is labelled HRS4R for Human Resources ‘Excellence in Research Award' for institutions (https://euraxess.ec.europa.eu/jobs/hrs4r). All appointements will be made on merit.
How to Apply: The candidate should send by e-mail his/her curriculum vitae, full transcripts of Bachelor and Master studies (including notes), a covering letter of motivation, together with two references (name and email address), to Marilaure Grégoire (email: mgregoire@uliege.be).
The position will remain open until filled; but the selection will start from June 15th, 2023.
ULiège is strongly committed to promoting equality and diversity, and is labelled HRS4R for Human Resources ‘Excellence in Research Award' for institutions (https://euraxess.ec.europa.eu/jobs/hrs4r). All appointements will be made on merit.
ASLO 2023 Aquatic Sciences Meeting 4-9th of June 2023 in Palma de Mallorca, Spain
Abstract submission and registration must occur before the abstract deadline of Midnight, Central Standard Time (USA) (11:59 pm) on 23 February 2023 (05:59 Greenwich Mean Time on 24 February 2023). The abstract submission deadline will not be extended.
Please consider submitting to the following session: https://www.aslo.org/palma-2023/scientific-sessions-list/.
SS117 Societally Relevant Ocean Forecasts and Projections of Climate Change and Ocean Acidification
Samantha Siedlecki, University of Connecticut (samantha.siedlecki@uconn.edu)
Richard Bellerby, Norwegian Institute for Water Research (richard.bellerby@niva.no)
Roberta Guerra, Universita di bologna (roberta.guerra@unibo.it)
The anthropogenically forced increase in atmospheric carbon dioxide is accompanied by a commensurate trend in the carbonate system of the global ocean, a phenomenon called ocean acidification, recognized by the IPCC to be “highly certain”. In coastal environments, local processes can modulate or exacerbate this trend, and these processes occur on spatial scales that are not well represented in global climate models (GCMs). As a result, prognostic information to support decisions facing coastal communities subject to OA impacts is largely lacking. Ocean predictions and projections on the local scale to support decisions will require us to employ new technologies such as digital twins, machine learning, high resolution local predictions, and regional earth system models. Access to these ocean forecasts and projections seamlessly into everyday life will result in a more climate savvy public changing people’s behaviours, increasing public awareness, expanding knowledge and perceptions, and contributing to the UN SDGs. The data will allow for mitigation of climate change impacts on coastal communities as well as the natural environment like coastal acidification driven by eutrophication by examining scenarios within these tools to develop more realistic plans for management within a multi stressor framework. The production of these projections and associated data products will enable better marine resource management decisions. These tools will allow for implementation of OA adaptation and mitigation strategies, and integration of this information into other adaptation and mitigation strategies like marine carbon sequestration and removal, thus enhancing our international capabilities. The UN Decade program “Ocean Acidification Research for Sustainability” (OARS) alongside GOOS: CoastPredict aims to provide a roadmap to achieve this vision. In support of this shared vision, this session aims at highlighting best practices for forecasting and providing localized projections of climate needed, new approaches to address the computationally intense requirements of providing climate information at hyper-local scales, innovative technologies that integrate autonomous real time observations and visualization of the output. We invite all approaches that deliver forecasts, projections of state, variability, phenology as well as novel ways of delivering data/knowledge to stakeholders.
Key words: ocean acidification, regional carbon sequestration, modeling, forecasts, climate downscaling
Please consider submitting to the following session: https://www.aslo.org/palma-2023/scientific-sessions-list/.
SS117 Societally Relevant Ocean Forecasts and Projections of Climate Change and Ocean Acidification
Samantha Siedlecki, University of Connecticut (samantha.siedlecki@uconn.edu)
Richard Bellerby, Norwegian Institute for Water Research (richard.bellerby@niva.no)
Roberta Guerra, Universita di bologna (roberta.guerra@unibo.it)
The anthropogenically forced increase in atmospheric carbon dioxide is accompanied by a commensurate trend in the carbonate system of the global ocean, a phenomenon called ocean acidification, recognized by the IPCC to be “highly certain”. In coastal environments, local processes can modulate or exacerbate this trend, and these processes occur on spatial scales that are not well represented in global climate models (GCMs). As a result, prognostic information to support decisions facing coastal communities subject to OA impacts is largely lacking. Ocean predictions and projections on the local scale to support decisions will require us to employ new technologies such as digital twins, machine learning, high resolution local predictions, and regional earth system models. Access to these ocean forecasts and projections seamlessly into everyday life will result in a more climate savvy public changing people’s behaviours, increasing public awareness, expanding knowledge and perceptions, and contributing to the UN SDGs. The data will allow for mitigation of climate change impacts on coastal communities as well as the natural environment like coastal acidification driven by eutrophication by examining scenarios within these tools to develop more realistic plans for management within a multi stressor framework. The production of these projections and associated data products will enable better marine resource management decisions. These tools will allow for implementation of OA adaptation and mitigation strategies, and integration of this information into other adaptation and mitigation strategies like marine carbon sequestration and removal, thus enhancing our international capabilities. The UN Decade program “Ocean Acidification Research for Sustainability” (OARS) alongside GOOS: CoastPredict aims to provide a roadmap to achieve this vision. In support of this shared vision, this session aims at highlighting best practices for forecasting and providing localized projections of climate needed, new approaches to address the computationally intense requirements of providing climate information at hyper-local scales, innovative technologies that integrate autonomous real time observations and visualization of the output. We invite all approaches that deliver forecasts, projections of state, variability, phenology as well as novel ways of delivering data/knowledge to stakeholders.
Key words: ocean acidification, regional carbon sequestration, modeling, forecasts, climate downscaling
Contrasting projections of the ENSO-driven CO2 flux variability in the equatorial Pacific under high-warming scenario
The El Niño–Southern Oscillation (ENSO) widely modulates the global carbon cycle. More specifically, it alters the net uptake of carbon in the tropical ocean. Indeed, over the tropical Pacific less carbon is released by oceans during El Niño, while the opposite is the case for La Niña. Here, the skill of Earth system models (ESMs) from the latest Coupled Model Intercomparison Project (CMIP6) to simulate the observed tropical Pacific CO2 flux variability in response to ENSO is assessed. The temporal amplitude and spatial extent of CO2 flux anomalies vary considerably among models, while the surface temperature signals of El Niño and La Niña phases are generally well represented. Under historical conditions followed by the high-warming Shared Socio-economic Pathway (SSP5-8.5) scenarios, about half the ESMs simulate a reversal in ENSO–CO2 flux relationship. This gradual shift, which occurs as early as the first half of the 21st century, is associated with a high CO2-induced increase in the Revelle factor that leads to stronger sensitivity of partial pressure of CO2 (pCO2) to changes in surface temperature between ENSO phases. At the same time, uptake of anthropogenic CO2 substantially increases upper-ocean dissolved inorganic carbon (DIC) concentrations (reducing its vertical gradient in the thermocline) and weakens the ENSO-modulated surface DIC variability. The response of the ENSO–CO2 flux relationship to future climate change is sensitive to the contemporary mean state of the carbonate ion concentration in the tropics. We present an emergent constraint between the simulated contemporary carbonate concentration with the projected cumulated CO2 fluxes. Models that simulate shifts in the ENSO–CO2 flux relationship simulate positive bias in surface carbonate concentrations.
The figure shows the comparison between the observed and CMIP6 simulated sea surface temperature and CO2 flux anomalies during La Niña and El Niño phases over the contemporary period.
The figure shows the comparison between the observed and CMIP6 simulated sea surface temperature and CO2 flux anomalies during La Niña and El Niño phases over the contemporary period.
CE2COAST officially joined the global registry of voluntary commitments
CE2COAST has officially joined the global registry of voluntary commitments and multi-stakeholder partnerships made by stakeholders in support of the implementation of the Sustainable Development Goals (SDGs), and through various UN conferences and thematic action networks, including the UN Ocean Conference, the Small Island Developing States Conference, the UN Sustainable Transport Conference, the Rio+20 Conference, and others.
CE2COAST Winter School in Lisbon, Portugal 13-17 February 2023
The CE2COAST Winter School is now accepting applications from PhD students, postdoctoral and early-stage researchers. It will take place in Lisbon, Portugal 13-17 February 2023.
Global change will have significant impacts at regional and local scales on marine and coastal systems and will influence the security and productivity of coastal services. The winter school will provide the opportunity to learn and exchange ideas on the latest approaches in climate change downscaling and determining coastal service thresholds to deliver targeted, relevant, and understood scenarios of coastal change.
Topics include:
- Observed state, variability, and trends in coastal stressors;
- Ocean climate change from Earth System Models;
- Regional downscaling of past and future coastal climate change;
- Responses of coastal processes and services;
- Science and Society: co-design and co-production of knowledge;
- Ethics in Science.
Lecturers include:
- Prof. Richard Bellerby
- Dr. Véronique Garçon
- Dr. Rachel Cave
- Prof. Marilaure Grégoire
- Dr. Momme Butenschön
- Dr. Kirsten Isensee
Priority will be given to applicants from European Institutions.
Please send a short CV and application letter stating why you would like to participate to Gabrielle.Hairabedian@niva.no within the deadline Monday, 28th November 2022.
Global change will have significant impacts at regional and local scales on marine and coastal systems and will influence the security and productivity of coastal services. The winter school will provide the opportunity to learn and exchange ideas on the latest approaches in climate change downscaling and determining coastal service thresholds to deliver targeted, relevant, and understood scenarios of coastal change.
Topics include:
- Observed state, variability, and trends in coastal stressors;
- Ocean climate change from Earth System Models;
- Regional downscaling of past and future coastal climate change;
- Responses of coastal processes and services;
- Science and Society: co-design and co-production of knowledge;
- Ethics in Science.
Lecturers include:
- Prof. Richard Bellerby
- Dr. Véronique Garçon
- Dr. Rachel Cave
- Prof. Marilaure Grégoire
- Dr. Momme Butenschön
- Dr. Kirsten Isensee
Priority will be given to applicants from European Institutions.
Please send a short CV and application letter stating why you would like to participate to Gabrielle.Hairabedian@niva.no within the deadline Monday, 28th November 2022.
New article on biogeochemical timescales of climate change onset and recovery in the North Atlantic Interior under rapid atmospheric CO2 forcing
Widespread climate change and increasing CO2 emissions have effects that go beyond the ocean surface, impacting ecosystems in the deep ocean. However, the timing and magnitude of these changes, which are essential for ecosystem management, are poorly understood, much less the spatial responses to following climate mitigation actions. We use a numerical model to simulate the Earth system and its major physicochemical, geological, and biological processes in the atmosphere, hydrosphere, and lithosphere. We forced the model with strong and steady injection followed by strong removal of atmospheric CO2 back to Pre-Industrial levels to understand the responses of seawater properties in the North Atlantic interior (Temperature, pH, Dissolved Oxygen). We find that southern portions of the North Atlantic interior remained up to 50% warmer and inhospitable to calcifying organisms even after returning the atmosphere to the Pre-Industrial state and allowing several centuries for the oceans to readjust. A counterintuitive accumulation of oxygen in the ocean interior is also simulated, despite reduced solubility in warmer seawater temperatures, mainly driven by reduced export and consumption of organic matter at depth. Further studies are needed to better understand the impact of anthropogenic climate change and mitigation actions to safeguard the ecosystems of the deeper parts of our oceans.
The figure shows the projected timing of warming emergence (ToD) and recovery (Trec) in the North Atlantic (a) averaged vertically and (b) along the western meridional section. Panels (b) and (e) show percentage warming at different projection periods.
The figure shows the projected timing of warming emergence (ToD) and recovery (Trec) in the North Atlantic (a) averaged vertically and (b) along the western meridional section. Panels (b) and (e) show percentage warming at different projection periods.
Junior Scientist or Postdoctoral Research Assistant in Marine Biogeochemical Modelling
The CMCC is taking into consideration the possibility to hire a talented, motivated and proactive Junior Scientist/Postdoctoral Research Assistant to work within the Research Unit for Marine Biogeochemistry and Earth System Modelling of the Ocean Modeling and Data Assimilation (ODA) Division.
This job announcement is a public invitation to express interest for the above mentioned CMCC Position.
The location is at the CMCC premises in Bologna, BO, Italy.
The primary purpose of this position is to strengthen our in-house modelling system based on the the Biogeochemical Flux Model (http://bfm-community.eu) and its couplings to dynamic ocean models such as NEMO and SHYFEM and our Earth System Model CMCC-ESM2. Some of the current key developments include coastal processes, polar biogeochemical processes including sea-ice biogeochemistry and parametrisation of marine-based negative emission pathways (nature-based and technology based). The candidate is further expected to contribute to the applications of our modelling system and analysis of its simulations in the realms of global biogeochemical cycles, mitigation and adaptation as well as biodiversity and ecosystem services. These activities require a solid base in geoscientific modelling, in-depth knowledge of the scientific state of the art and of the most recent developments in data analysis and statistical methods (e.g. machine learning and artificial intelligence).
The desired qualifications are:
- PhD in natural sciences with experience in the fields of oceanography, marine biogeochemistry and ecosystems;
- High standard of scientific outputs, as proven by your scientific track record (considering a career level in line with the position offered);
- Consolidated experience in scientific programming and data analysis, demonstrated skills in FORTRAN and/or python programming as well as parallel computing is of particular advantage;
- proficient skills of spoken and written English;
- collaborative skills in a highly competitive environment.
Belonging to legally protected categories (ex L. 68/99) will constitute a preferential condition.
The initial appointment is for 24 months starting from 01/09/2022 at an annual salary ranging from 28000 to 32000 Euros (post-doc) or 33000-40000 Euros (Junior Scientist) comprehensive of benefits, depending on qualification and experience.
Deadline: May, 15th, 2022
This job announcement is a public invitation to express interest for the above mentioned CMCC Position.
The location is at the CMCC premises in Bologna, BO, Italy.
The primary purpose of this position is to strengthen our in-house modelling system based on the the Biogeochemical Flux Model (http://bfm-community.eu) and its couplings to dynamic ocean models such as NEMO and SHYFEM and our Earth System Model CMCC-ESM2. Some of the current key developments include coastal processes, polar biogeochemical processes including sea-ice biogeochemistry and parametrisation of marine-based negative emission pathways (nature-based and technology based). The candidate is further expected to contribute to the applications of our modelling system and analysis of its simulations in the realms of global biogeochemical cycles, mitigation and adaptation as well as biodiversity and ecosystem services. These activities require a solid base in geoscientific modelling, in-depth knowledge of the scientific state of the art and of the most recent developments in data analysis and statistical methods (e.g. machine learning and artificial intelligence).
The desired qualifications are:
- PhD in natural sciences with experience in the fields of oceanography, marine biogeochemistry and ecosystems;
- High standard of scientific outputs, as proven by your scientific track record (considering a career level in line with the position offered);
- Consolidated experience in scientific programming and data analysis, demonstrated skills in FORTRAN and/or python programming as well as parallel computing is of particular advantage;
- proficient skills of spoken and written English;
- collaborative skills in a highly competitive environment.
Belonging to legally protected categories (ex L. 68/99) will constitute a preferential condition.
The initial appointment is for 24 months starting from 01/09/2022 at an annual salary ranging from 28000 to 32000 Euros (post-doc) or 33000-40000 Euros (Junior Scientist) comprehensive of benefits, depending on qualification and experience.
Deadline: May, 15th, 2022
Publication on Acidification of the Nordic Seas
Due to low calcium carbonate saturation states, and winter mixing that brings anthropogenic carbon to the deep ocean, the Nordic Seas and their cold-water corals are vulnerable to ocean acidification. Here, we present a detailed investigation of the changes in pH and aragonite saturation in the Nordic Seas from preindustrial times to 2100, by using in situ observations, gridded climatological data, and projections for three different future scenarios with the Norwegian Earth System Model (NorESM1-ME).
During the period of regular ocean biogeochemistry observations from 1981–2019, the pH decreased with rates of 2–3 × 10−3 yr−1 in the upper 200 m of the Nordic Seas. In some regions, the pH decrease can be detected down to 2000 m depth. This resulted in a decrease in the aragonite saturation state, which is now close to undersaturation in the depth layer of 1000–2000 m. The model simulations suggest that the pH of the Nordic Seas will decrease at an overall faster rate than the global ocean from the preindustrial era to 2100, bringing the Nordic Seas' pH closer to the global average. In the esmRCP8.5 scenario, the whole water column is projected to be undersaturated with respect to aragonite at the end of the 21st century, thereby endangering all cold-water corals of the Nordic Seas. In the esmRCP4.5 scenario, the deepest cold-water coral reefs are projected to be exposed to undersaturation. Exposure of all cold-water corals to corrosive waters can only be avoided with marginal under the esmRCP2.6 scenario.
Over all timescales, the main driver of the pH drop is the increase in dissolved inorganic carbon (CT) caused by the raising anthropogenic CO2, followed by the temperature increase. Thermodynamic salinity effects are of secondary importance. We find substantial changes in total alkalinity (AT) and CT as a result of the salinification, or decreased freshwater content, of the Atlantic water during all time periods, and as a result of an increased freshwater export in polar waters in past and future scenarios. However, the net impact of this decrease (increase) in freshwater content on pH is negligible, as the effects of a concentration (dilution) of CT and AT are canceling.
The figure shows the projection changes in surface pH and aragonite saturation state under high-CO2 future scenario in the Nordic Seas. More specifically, the maps of surface water (0 m) pH and ΩAr for the present (1996–2005) and the esmRCP8.5 future (2090–2099), as well as the changes between the periods. The data input of the maps is based on GLODAPv2 gridded climatologies combined with the change from the NorESM1-ME.
During the period of regular ocean biogeochemistry observations from 1981–2019, the pH decreased with rates of 2–3 × 10−3 yr−1 in the upper 200 m of the Nordic Seas. In some regions, the pH decrease can be detected down to 2000 m depth. This resulted in a decrease in the aragonite saturation state, which is now close to undersaturation in the depth layer of 1000–2000 m. The model simulations suggest that the pH of the Nordic Seas will decrease at an overall faster rate than the global ocean from the preindustrial era to 2100, bringing the Nordic Seas' pH closer to the global average. In the esmRCP8.5 scenario, the whole water column is projected to be undersaturated with respect to aragonite at the end of the 21st century, thereby endangering all cold-water corals of the Nordic Seas. In the esmRCP4.5 scenario, the deepest cold-water coral reefs are projected to be exposed to undersaturation. Exposure of all cold-water corals to corrosive waters can only be avoided with marginal under the esmRCP2.6 scenario.
Over all timescales, the main driver of the pH drop is the increase in dissolved inorganic carbon (CT) caused by the raising anthropogenic CO2, followed by the temperature increase. Thermodynamic salinity effects are of secondary importance. We find substantial changes in total alkalinity (AT) and CT as a result of the salinification, or decreased freshwater content, of the Atlantic water during all time periods, and as a result of an increased freshwater export in polar waters in past and future scenarios. However, the net impact of this decrease (increase) in freshwater content on pH is negligible, as the effects of a concentration (dilution) of CT and AT are canceling.
The figure shows the projection changes in surface pH and aragonite saturation state under high-CO2 future scenario in the Nordic Seas. More specifically, the maps of surface water (0 m) pH and ΩAr for the present (1996–2005) and the esmRCP8.5 future (2090–2099), as well as the changes between the periods. The data input of the maps is based on GLODAPv2 gridded climatologies combined with the change from the NorESM1-ME.
A Global Ocean Oxygen Database and Atlas for Assessing and Predicting Deoxygenation and Ocean Health in the Open and Coastal Ocean
In this paper, we outline the need for a coordinated international effort toward the building of an open-access Global Ocean Oxygen Database and ATlas (GO2DAT) complying with the FAIR principles (Findable, Accessible, Interoperable, and Reusable). GO2DAT will combine data from the coastal and open ocean, as measured by the chemical Winkler titration method or by sensors (e.g., optodes, electrodes) from Eulerian and Lagrangian platforms (e.g., ships, moorings, profiling floats, gliders, ships of opportunities, marine mammals, cabled observatories). GO2DAT will further adopt a community-agreed, fully documented metadata format and a consistent quality control (QC) procedure and quality flagging (QF) system. GO2DAT will serve to support the development of advanced data analysis and biogeochemical models for improving our mapping, understanding and forecasting capabilities for ocean O2 changes and deoxygenation trends. It will offer the opportunity to develop quality-controlled data synthesis products with unprecedented spatial (vertical and horizontal) and temporal (sub-seasonal to multi-decadal) resolution.
These products will support model assessment, improvement and evaluation as well as the development of climate and ocean health indicators. They will further support the decision-making processes associated with the emerging blue economy, the conservation of marine resources and their associated ecosystem services and the development of management tools required by a diverse community of users (e.g., environmental agencies, aquaculture, and fishing sectors).
A better knowledge base of the spatial and temporal variations of marine O2 will improve our understanding of the ocean O2 budget, and allow better quantification of the Earth’s carbon and heat budgets. With the ever-increasing need to protect and sustainably manage ocean services, GO2DAT will allow scientists to fully harness the increasing volumes of O2 data already delivered by the expanding global ocean observing system and enable smooth incorporation of much higher quantities of data from autonomous platforms in the open ocean and coastal areas into comprehensive data products in the years to come. This paper aims at engaging the community (e.g., scientists, data managers, policy makers, service users) toward the development of GO2DAT within the framework of the UN Global Ocean Oxygen Decade (GOOD) program recently endorsed by IOC-UNESCO. A roadmap toward GO2DAT is proposed highlighting the efforts needed (e.g., in terms of human resources).
The figure shows the slobal distribution of low O2 areas (i.e., O2 < 62 μmol kg–1) in the coastal and global ocean (from Breitburg et al., 2018). In the coastal area, more than 500 sites have been inventoried with low O2 conditions in the past half century (red dots) while in the open ocean the extent of low O2 waters amounts to several millions km3 (the blue dots refer to conditions at 300 m).
These products will support model assessment, improvement and evaluation as well as the development of climate and ocean health indicators. They will further support the decision-making processes associated with the emerging blue economy, the conservation of marine resources and their associated ecosystem services and the development of management tools required by a diverse community of users (e.g., environmental agencies, aquaculture, and fishing sectors).
A better knowledge base of the spatial and temporal variations of marine O2 will improve our understanding of the ocean O2 budget, and allow better quantification of the Earth’s carbon and heat budgets. With the ever-increasing need to protect and sustainably manage ocean services, GO2DAT will allow scientists to fully harness the increasing volumes of O2 data already delivered by the expanding global ocean observing system and enable smooth incorporation of much higher quantities of data from autonomous platforms in the open ocean and coastal areas into comprehensive data products in the years to come. This paper aims at engaging the community (e.g., scientists, data managers, policy makers, service users) toward the development of GO2DAT within the framework of the UN Global Ocean Oxygen Decade (GOOD) program recently endorsed by IOC-UNESCO. A roadmap toward GO2DAT is proposed highlighting the efforts needed (e.g., in terms of human resources).
The figure shows the slobal distribution of low O2 areas (i.e., O2 < 62 μmol kg–1) in the coastal and global ocean (from Breitburg et al., 2018). In the coastal area, more than 500 sites have been inventoried with low O2 conditions in the past half century (red dots) while in the open ocean the extent of low O2 waters amounts to several millions km3 (the blue dots refer to conditions at 300 m).
Latest paper on reducing uncertainties of future heat and carbon uptake in the Southern Ocean
Improving understanding and projections of excess heat and anthropogenic carbon sink into the ocean is critical to guide the development of climate mitigation policies for meeting ambitious climate targets. Nevertheless, state-of-the-art models show large uncertainties in their projections in key regions such as the Southern Ocean. Through evaluating the water column stratification characteristic in these models, Timothee Bourgeois and colleagues can reduce the uncertainty of future cumulative anthropogenic carbon uptake by up to 53% and excess heat uptake efficiency by 28%. They underline that, for this region, an improved representation of stratification in Earth system models is key to constrain future carbon budgets and anthropogenic climate change projections.
Figure caption: Cumulative anthropogenic carbon uptake in (left) weakly-stratified and (right) strongly-stratified models, adapted from Bourgeois et al. (2022).
Figure caption: Cumulative anthropogenic carbon uptake in (left) weakly-stratified and (right) strongly-stratified models, adapted from Bourgeois et al. (2022).
First joint newsletter from project ROADMAP and CE2COAST
Researcher in marine biogeochemical/ecosystem/physical modelling available at NIVA
The Oceanography section at the Norwegian Institute for Water Research (NIVA) invites applications for a Research Scientist position within marine biogeochemical/ecosystem/physical modelling. NIVA is seeking applications from researchers to join the group to use marine modelling to better understand how the coastal and open oceans interact and respond to natural and anthropogenic stressors and drivers. The Oceanography section is composed of 25 research scientists and engineers who employ modelling, observational, and experimental approaches to provide a comprehensive approach for addressing research questions related to oceanography and marine biogeochemistry. The successful candidate will be expected to develop model code, conduct simulations, and perform analysis of results, seek external funding to develop their own research portfolio, as well as contribute to existing Norwegian- and European-funded projects that use models to assess the impacts of climate change in the open ocean as well as fjord and coastal areas. We also expect that the successful candidate will contribute to peer-reviewed publications and enhance collaborations within our diverse section and with other research sections at NIVA including, but not limited to, Marine Biology, Catchment Biogeochemistry, and Water and Society.
Closing date is 7th of November 2021.
Closing date is 7th of November 2021.
CE2COAST Winter School in Lisbon, Portugal 13-17 February 2023
The CE2COAST Winter School is now accepting applications from PhD students, postdoctoral and early-stage researchers. It will take place in Lisbon, Portugal 13-17 February 2023.
Global change will have significant impacts at regional and local scales on marine and coastal systems and will influence the security and productivity of coastal services. The winter school will provide the opportunity to learn and exchange ideas on the latest approaches in climate change downscaling and determining coastal service thresholds to deliver targeted, relevant, and understood scenarios of coastal change.
Topics include:
- Observed state, variability, and trends in coastal stressors;
- Ocean climate change from Earth System Models;
- Regional downscaling of past and future coastal climate change;
- Responses of coastal processes and services;
- Science and Society: co-design and co-production of knowledge;
- Ethics in Science.
Lecturers include:
- Prof. Richard Bellerby
- Dr. Véronique Garçon
- Dr. Rachel Cave
- Prof. Marilaure Grégoire
- Dr. Momme Butenschön
- Dr. Kirsten Isensee
Priority will be given to applicants from European Institutions.
Please send a short CV and application letter stating why you would like to participate to Gabrielle.Hairabedian@niva.no within the deadline Monday, 28th November 2022.
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