Project acronym C8
Project Consistent computation of the chemistry-cloud continuum and climate change in Cyprus
Researcher (PI) Johannes Lelieveld
Host Institution (HI) THE CYPRUS RESEARCH AND EDUCATIONAL FOUNDATION
Call Details Advanced Grant (AdG), PE10, ERC-2008-AdG
Summary We have developed a new numerical method to consistently compute atmospheric trace gas and aerosol chemistry and cloud processes. The method is computationally efficient so that it can be used in climate models. For the first time cloud droplet formation on multi-component particles can be represented based on first principles rather than parameterisations. This allows for a direct coupling in models between aerosol chemical composition and the continuum between hazes and clouds as a function of ambient relative humidity. We will apply the method in a new nested global-limited area model system to study atmospheric chemistry climate interactions and anthropogenic influences. We will focus on the Mediterranean region because it is a hot spot in climate change exposed to drying and air pollution. The limited area model will also be applied as cloud-resolving model to study aerosol influences on precipitation and storm development. By simulating realistic meteorological conditions at high spatial resolution our method can be straightforwardly tested against observations. Central questions are: - How does the simulated haze-cloud continuum compare with remote sensing measurements and what is the consequence of abandoning the traditional and artificial distinction between aerosols and clouds? - How are cloud and precipitation formation influenced by atmospheric chemical composition changes? - To what extent do haze and cloud formation in polluted air exert forcings of synoptic meteorological conditions and climate? - Can aerosol pollution in the Mediterranean region exacerbate the predicted and observed drying in a changing climate? The model system is user-friendly and will facilitate air quality and climate studies by regional scientists. The project will be part of the Energy, Environment and Water Centre of the newly founded Cyprus Institute, provide input to climate impact assessments and contribute to a regional outreach programme.
Summary
We have developed a new numerical method to consistently compute atmospheric trace gas and aerosol chemistry and cloud processes. The method is computationally efficient so that it can be used in climate models. For the first time cloud droplet formation on multi-component particles can be represented based on first principles rather than parameterisations. This allows for a direct coupling in models between aerosol chemical composition and the continuum between hazes and clouds as a function of ambient relative humidity. We will apply the method in a new nested global-limited area model system to study atmospheric chemistry climate interactions and anthropogenic influences. We will focus on the Mediterranean region because it is a hot spot in climate change exposed to drying and air pollution. The limited area model will also be applied as cloud-resolving model to study aerosol influences on precipitation and storm development. By simulating realistic meteorological conditions at high spatial resolution our method can be straightforwardly tested against observations. Central questions are: - How does the simulated haze-cloud continuum compare with remote sensing measurements and what is the consequence of abandoning the traditional and artificial distinction between aerosols and clouds? - How are cloud and precipitation formation influenced by atmospheric chemical composition changes? - To what extent do haze and cloud formation in polluted air exert forcings of synoptic meteorological conditions and climate? - Can aerosol pollution in the Mediterranean region exacerbate the predicted and observed drying in a changing climate? The model system is user-friendly and will facilitate air quality and climate studies by regional scientists. The project will be part of the Energy, Environment and Water Centre of the newly founded Cyprus Institute, provide input to climate impact assessments and contribute to a regional outreach programme.
Max ERC Funding
2 196 000 €
Duration
Start date: 2009-01-01, End date: 2014-12-31
Project acronym EUROEMP
Project Employment in Europe
Researcher (PI) Christoforos Pissarides
Host Institution (HI) UNIVERSITY OF CYPRUS
Call Details Advanced Grant (AdG), SH1, ERC-2012-ADG_20120411
Summary "The first part of this project is about employment in Europe, including the new members of the European Union. Both the level of employment and the type of jobs created will be examined. A thorough study of institutional structures and policies is proposed, with a view to arriving at conclusions about their influence on job creation and about the best policy needed to achieve national or European-level employment objectives. Job creation is investigated at the two-digit level and male and female employment, wage inequality and the role of policy will be studied in depth. The research will build on solid theoretical microfoundations taking into account the choices available to firms and workers/consumers about working at home or in the market and buying domestic or foreign goods. The project has a second part about unemployment, with special emphasis on recession. The same emphasis on institutions and policies as for employment is given to this part. A key component of the project is new theory on the evolution of institutions and policies in markets with friction, and on the impact that the policy changes that took place after the recession of the 1980s have had on the responses of European labour markets to the recent recession. Special attention will be given to the formerly planned economies and the reasons for their slow convergence to the western economies."
Summary
"The first part of this project is about employment in Europe, including the new members of the European Union. Both the level of employment and the type of jobs created will be examined. A thorough study of institutional structures and policies is proposed, with a view to arriving at conclusions about their influence on job creation and about the best policy needed to achieve national or European-level employment objectives. Job creation is investigated at the two-digit level and male and female employment, wage inequality and the role of policy will be studied in depth. The research will build on solid theoretical microfoundations taking into account the choices available to firms and workers/consumers about working at home or in the market and buying domestic or foreign goods. The project has a second part about unemployment, with special emphasis on recession. The same emphasis on institutions and policies as for employment is given to this part. A key component of the project is new theory on the evolution of institutions and policies in markets with friction, and on the impact that the policy changes that took place after the recession of the 1980s have had on the responses of European labour markets to the recent recession. Special attention will be given to the formerly planned economies and the reasons for their slow convergence to the western economies."
Max ERC Funding
2 200 143 €
Duration
Start date: 2013-06-01, End date: 2018-05-31
Project acronym FAULT-ADAPTIVE
Project Fault-Adaptive Monitoring and Control of Complex Distributed Dynamical Systems
Researcher (PI) Marios Polycarpou
Host Institution (HI) UNIVERSITY OF CYPRUS
Call Details Advanced Grant (AdG), PE7, ERC-2011-ADG_20110209
Summary "The emergence of networked embedded systems and sensor/actuator networks has facilitated the development of advanced monitoring and control applications, where a large amount of sensor data is collected and processed in real-time in order to activate the appropriate actuators and achieve the desired control objectives. However, in situations where a fault arises in some of the components (e.g., sensors, actuators, communication links), or an unexpected event occurs in the environment, this may lead to a serious degradation in performance or, even worse, to an overall system failure. There is a need to develop a systematic framework to enhance the reliability, fault-tolerance and sustainability of complex distributed dynamical systems through the use of fault-adaptive monitoring and control methods. The work proposed here will contribute to the development of such a framework with emphasis on applications related to critical infrastructure systems (e.g., power, water, telecommunications and transportation systems). It will provide an innovative approach based on the use of networked intelligent agent systems, where the state of the infrastructure is monitored and controlled by a network of sensors and actuators with cooperating agents for fault diagnosis and fault tolerant control. A hierarchical fault diagnosis architecture will be developed, with neighbouring fault diagnosis agents cooperating at a local level, while transmitting their information, as needed, to a regional monitoring agent, responsible for integrating in real-time local information into a large-scale “picture” of the health of the infrastructure. A key motivation is to exploit spatial and temporal correlations between measured variables using learning methods, and to develop the tools and design methodologies that will prevent relatively “small” faults or unexpected events from causing significant disruption or complete system failures in complex distributed dynamical systems."
Summary
"The emergence of networked embedded systems and sensor/actuator networks has facilitated the development of advanced monitoring and control applications, where a large amount of sensor data is collected and processed in real-time in order to activate the appropriate actuators and achieve the desired control objectives. However, in situations where a fault arises in some of the components (e.g., sensors, actuators, communication links), or an unexpected event occurs in the environment, this may lead to a serious degradation in performance or, even worse, to an overall system failure. There is a need to develop a systematic framework to enhance the reliability, fault-tolerance and sustainability of complex distributed dynamical systems through the use of fault-adaptive monitoring and control methods. The work proposed here will contribute to the development of such a framework with emphasis on applications related to critical infrastructure systems (e.g., power, water, telecommunications and transportation systems). It will provide an innovative approach based on the use of networked intelligent agent systems, where the state of the infrastructure is monitored and controlled by a network of sensors and actuators with cooperating agents for fault diagnosis and fault tolerant control. A hierarchical fault diagnosis architecture will be developed, with neighbouring fault diagnosis agents cooperating at a local level, while transmitting their information, as needed, to a regional monitoring agent, responsible for integrating in real-time local information into a large-scale “picture” of the health of the infrastructure. A key motivation is to exploit spatial and temporal correlations between measured variables using learning methods, and to develop the tools and design methodologies that will prevent relatively “small” faults or unexpected events from causing significant disruption or complete system failures in complex distributed dynamical systems."
Max ERC Funding
2 035 200 €
Duration
Start date: 2012-04-01, End date: 2018-03-31
Project acronym NIPD
Project A Novel Non-Invasive Prenatal Diagnosis for Genetic Disorders
Researcher (PI) Philippos Patsalis
Host Institution (HI) NIPD GENETICS PUBLIC COMPANY LIMITED
Call Details Advanced Grant (AdG), LS7, ERC-2012-ADG_20120314
Summary Non-Invasive Prenatal Diagnosis (NIPD) has been one of the most fascinating research fields during the last decade. The identification of small amounts of fetal DNA in maternal circulation has opened new possibilities for NIPD. Up until today, two methods have achieved accurate and validated NIPD methods for trisomy 21. The first NIPD for trisomy 21 was based on next generation sequencing and the second was developed by our group and is based on a MeDIP real time qPCR. However, nothing has been achieved for the NIPD of other genomic disorders caused by pathogenic copy number changes or mutations. The primary goal of this proposal is to develop, validate and provide to clinical practice a novel NIPD method, which will enable fast, sensitive, accurate, robust and cost effective NIPD of the great majority of genetic disorders caused by either pathogenic copy number changes of genomic segments or single and small size mutations. Initially, biomarkers with differential methylation between fetal and maternal DNA located within the entire human exome will be identified using methylation DNA immunoprecipitation and whole-exome massive parallel sequencing. Then a novel MeDIP exome NGS NIPD method for the great majority (~85%) of genetic disorders will be developed and validated. The method will undergo a blind evaluation study using 300 normal and abnormal maternal peripheral blood samples of pregnant women at 10-12 week of gestation. The intellectual property which may arise will be protected by filing internationally PCT patent(s) followed by dissemination of the results of the project. The new method will not only provide a greater number of highly accurate prenatal diagnoses of genetic disorders, but will do so without any risk for the fetus. Thus, the provision of such prenatal diagnoses may be provided to all pregnant women. The proposed proposal goes beyond the current state of the art and provides multiple medical, social and economic benefits.
Summary
Non-Invasive Prenatal Diagnosis (NIPD) has been one of the most fascinating research fields during the last decade. The identification of small amounts of fetal DNA in maternal circulation has opened new possibilities for NIPD. Up until today, two methods have achieved accurate and validated NIPD methods for trisomy 21. The first NIPD for trisomy 21 was based on next generation sequencing and the second was developed by our group and is based on a MeDIP real time qPCR. However, nothing has been achieved for the NIPD of other genomic disorders caused by pathogenic copy number changes or mutations. The primary goal of this proposal is to develop, validate and provide to clinical practice a novel NIPD method, which will enable fast, sensitive, accurate, robust and cost effective NIPD of the great majority of genetic disorders caused by either pathogenic copy number changes of genomic segments or single and small size mutations. Initially, biomarkers with differential methylation between fetal and maternal DNA located within the entire human exome will be identified using methylation DNA immunoprecipitation and whole-exome massive parallel sequencing. Then a novel MeDIP exome NGS NIPD method for the great majority (~85%) of genetic disorders will be developed and validated. The method will undergo a blind evaluation study using 300 normal and abnormal maternal peripheral blood samples of pregnant women at 10-12 week of gestation. The intellectual property which may arise will be protected by filing internationally PCT patent(s) followed by dissemination of the results of the project. The new method will not only provide a greater number of highly accurate prenatal diagnoses of genetic disorders, but will do so without any risk for the fetus. Thus, the provision of such prenatal diagnoses may be provided to all pregnant women. The proposed proposal goes beyond the current state of the art and provides multiple medical, social and economic benefits.
Max ERC Funding
2 500 000 €
Duration
Start date: 2013-05-01, End date: 2019-04-30
