ceeh rapporter

PhD- and Postdoc Projects

Atmospheric Dynamics Modelling - at KU and DMI

Brian Sørensen is working with the Online ACTM Enviro-HIRLAM at KU and DMI. The work is in the development, implementation, and validation of new mass conserving dynamical cores in the Enviro-HIRLAM model at DMI.
The new dynamical cores will improve the internal consistency as well as the accuracy of the model. Brian's PhD project is financed by CEEH.
See a more detailed description (English)

Epidemiological modelling - at NIPH

Esben Meuhlengracht Flachs is working on the development of a Health Impact Assessment Model, which can estimate the effect of air pollution in different scenarios for future Danish energy production  through demographic and epidemiological modelling. The models determine the effect of interventions that causes changes in exposure of riskfactors on selected areas of health, morbidity and mortality in the danish population and the associated economical consequences. Esbens PhD project is financed by CEEH. Supervisor: Henrik Brønnum-Hansen, NIPH
See a more detailed description in danish.

Energy Demand Modelling - at System Analysis Department, Risø - DTU

Erika Zvingilaite is working on the demand side of the Balmorel model. The PhD project is financed by CEEH. The project is motivated by a need for a better modelling of the energy demand in energy system models. Often energy demand is exogenous to models used for optimising future energy systems and at the same time large potentials for more efficient and flexible use of energy exists.
The main objective of the PhD project is to develop an energy demand model covering Denmark; Norway; Sweden; Finland; and Germany. The model should describe all final energy demands in all the countries and all sectors (including transport). The model has to be implemented in an existing energy system optimisation model. Erika's project is financed by CEEH.
See the project description (English)

Atmospheric Pollution, Sensitivity and Optimization Modelling for Environmental Risks and Impact Studies - at DMI 

Roman Nuterman will, as Postdoc at DMI, carry out research in the field of atmospheric pollution and meteorological modelling (MM), focusing on further development of atmospheric chemical transport (ACT), sensitivity and optimisation models for environmental risk and impact studies (based on the integrated ACT-MM system EnviroHIRLAM).  The project is financed by CEEH.

Health impact of Air Pollution - at the Institute of Public Health, AU

Jakob Hjort Bønløkke is working as a Postdoc in CEEH with health impacts of air-pollution.  In his work in CEEH Jakob will support the CEEH health impact evaluations with concentration-response functions derived from the epidemiologic studies in the litterature. Focus will be on the most important health effects such as infant and adult mortality, respiratory and cardiovascular diseases and cancer associated with pollutants in the CEEH model. This work will provide the necessary health risk input for use in the calculations of costs in CEEH model.
In addition experimental studies will be performed with samples of particulate matter from different combustion scenarios and locations with different combustion sources. These will aid to quantify the relative importance of different pollutants amd will investigate the effect of the chemical composition on toxicological impact.

Air Pollution modelling - at NERI

Ayou Buus Hansen will work with air pollution modelling. Her PhD project is financed by CEEH. The work should be based on the existing models: the Danish Hemispheric Eulerian Model (DEHM) and the Urban Background Model (UBM). The model should include a majority of the chemical species relevant for human health and ecosystems. 
A new model, DEHM-DK, which is a high-resolution (down to 1 km x 1 km), national scale model, especially designed for modelling air pollution important for eutrophication in terrestrial and marine eco-systems as well as human exposure in cities will be developed. To reach the goal of very high resolution, the model will include a reduced chemical scheme, including only the relatively fast chemical reactions. The concentrations for the chemical species formed from the relative slow chemical reactions will be obtained from coarser resolution model domains in order to save computing time. 
In this study a literature study will be performed in order to find the current state-of-the-art methods within high resolution air pollution modelling. Various semi-Lagrangian schemes will be developed and tested. Their performance will be compared to the current scheme in DEHM, ASD. The best performing scheme will be implemented in DEHM. 
A nest with a resolution of 1 km x 1 km covering Denmark using the ASD method will be implemented in DEHM. For the purpose of limiting the number of chemical reactions in the chemistry sub model a review and evaluation of the chemical processes will be performed. This will exclude slow chemical reactions to improve the performance. 
Different Lagrangian model approaches will be developed for integration in the Eulerian model using dynamical downscaling, including different parameterisations of dispersion at local scale. These will then be implemented and validated. 
The developed model will be applied for economical valuation of air pollution with respect to the effects on human health, using a coupling between the model and the EVA system.

Air Pollution Modelling - at NERI

Gitte Brandt Hedegaard is working with "Impacts of climate change on air pollution levels in the Northern Hemisphere with special focus on Europe and the Arctic". Her project is an externally financed COGSI scholarship.
The main goal of this PhD work is to understand and quantify the involved processes and subsequent impacts of a future changing climate on future air pollution concentrations and depositions in the 21st century.
The main hypothesis is that a future changing climate will have an impact on future air pollution concentrations and depositions of important chemical species in different parts of the world. The work will be based on the coupling of a climate model with a long-range chemical transport model and running the coupled system for several centuries (1860-2100). The coupled system will furthermore be used for sensitivity studies in order to test a large set of sub-hypotheses. See the project description (English)

Integrated modeling of aerosol indirect effects - at DMI

Ulrik Smith Korsholm is working with development and application of an online coupled chemical weather model. The project is externally financed.

PhD defense was held 30. March 2009


The atmosphere is heavily polluted with aerosols which affect cloud formation and precipitation development and continental clouds generally include two orders of magnitude more cloud droplets than marine clouds. An increased number of small droplets, in warm clouds, leads to an increase in cloud albedo and suppression of rain. Complex cloud and aerosol -microphysical and cloud dynamical feedbacks shape the response to albedo enhancement and suppression of rain and may feed back on the aerosol and trace gas distributions of the atmosphere on short time scales. The importance of such feedbacks is unknown and in this study an online coupled chemical weather model is developed, tested and employed in a case study, investigating the importance of such feedbacks on trace gas distributions. Enviro-HIRLAM is developed as an extension of the mesoscale short-range weather forecast model HIRLAM and includes emission, advection, turbulent diffusion, convection and deposition of trace gasses and aerosols as well as gas-phase chemistry, aerosol dynamics, gas-aerosol equilibration, aerosol activation. The activated aerosols are coupled to the cloud scheme leading to albedo enhancement and suppression of precipitation in warm convective and stratiform clouds. In a particular case study considering a convective summertime conditions with light rain it was shown that the prediction aerosol mass concentration was satisfactory and two-meter temperature predictions improved slightly when including the aerosol effects. The distribution of NO2 near the surface was greatly affected by the feedbacks over the 24 hour period. The feedbacks induced changes in cloud cover, temperature and in local circulations by inducing convective activity which lead to a dynamical redistribution of the species rather than to changes in chemical reactions. The suppression of rain was of greater importance than albedo enhancement and nonlinear effects acted to damp the influence of the feedbacks. Hence, in this case study the feedbacks were of great importance in determining the trace gas distributions.

Supervisors:Alexander Baklanov, Research Department DMI,  Eigil Kaas NBI

Dato: 25-Jan-2010