CORDIS provides links to public deliverables and publications of HORIZON projects.
Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .
Deliverables
●Merge regional emissions into global so as to run the global system with emissions that are comparable to those of the regional systems●Comparison of the simulated fields by the regional and global systems, evaluation against observational datasets●Evaluation of regional and global simulations of the intercomparison using remote sensing products such as AOD and tropospheric columns, depending on the relevance.
Best estimate of dust emissions through offline inversion (opens in new window)●Production and evaluation of posterior estimates of dust emission correction factors, using an ensemble of IFS simulations with perturbations in dust emissions.●Evaluation of a deterministic experiment which includes the optimised emission factors.
Plan for the exploitation and dissemination of results including communication activities (opens in new window)A dissemination and exploitation plan will be developed, outlining the dissemination activities as well as identifying the potential for exploitation and their routes. A dedicated Media and Communication Plan will be developed, outlining communication objectives, channels (including relevant social media channels), audiences and approach and providing scripts and templates for communication.
Implementation of new primary aerosol sources: sea-salt aerosol schemes from machine learning and chamber experiments (opens in new window)●Machine learning approach for sea-salt aerosol emissions in the IFS with possible use in regional models●Sea-salt aerosol emission schemes based on recent chamber experiments with possible use in regional models●Implementation into the IFS and SILAM of a scheme that represents high latitude dust●Development of a gridded version of the NORTRIP road dust emissions scheme and implementation into EMEP, EURAD-IM and LOTOS
Extended dry deposition scheme in LOTOS-EUROS (opens in new window)●Extension of the dry deposition scheme of LOTOS-EUROS
Implementation and verification of M7 modal scheme into operational IFS cycle (opens in new window)●Porting of M7 from OpenIFS 43R3 to a recent IFS cycle ●Verify model performance against existing reference model versions (OpenIFS and the offline TM5 model)
First assimilation of LIDAR/Ceilometer data into the IFS and evaluation (opens in new window)●Build on current infrastructure for lidar assimilation in the IFS with a view to the operational implementation of the observations.●Evaluate the performance of IFS experiments which only assimilate aerosol observations from lidars/ceilometers.
Report on the implementation of updated biogenic organic aerosol precursor emissions (opens in new window)●Update of the BVOC emissions system of the EMEP-MSC-W model●Integrate the BVOC emissions system into the IFS
Implementation of the Flow of Agricultural Nitrogen (FAN)v2 model in SILAM (opens in new window)●Implementation of FANv2 in SILAM, evaluation against regional inventories of ammonia emissions●Collection of activity data as an input to FANv2
0D dry deposition intercomparison (opens in new window)●0D dry deposition intercomparison and evaluation with ground observations over different surfaces. Participant models are IFS, LOTOS-EUROS, GEM-AQ, SILAM, MATCH, MINNI.
Implementation of dust input in the observation operator used in ARPEGE-IFS for infrared brightness temperatures and monitoring of IASI observations (opens in new window)●Link the desert dust variable and the RTTOV observation operator in ARPEGE/IFS
Mid-term dissemination and exploitation report (opens in new window)The deliverable will report at mid-term on the activities in dissemination and exploitation, including updates to the plan.
First implementation and verification of EQSAM4Clim into IFS-M7 (opens in new window)●Implementation of EQSAM4Clim into IFS-M7, possibly scaling of IFS-M7 prognostic variables to derive some of the anions/cations input of EQSAM4Clim.
Report on the importance of biogenic aerosols (opens in new window)●Investigation and representation of other sources of biogenic VOC and SOA●Constrain biogenic aerosols and precursors using ground and remote sensing observations over selected areas
A project website will be designed and implemented.
A Data Management Plan (DMP) will be developed within the first six months of the project and will set out the specifications for data, quality control, metadata generation, data access, data stewardship and how data will be maintained and preserved. The types of data that will be used or produced in the project are model simulations, as well emissions and deposition fields and observational datasets. The data of the project will comply as much as possible with the FAIR (Findable, Accessible, Interoperable, Reusable) data principles.
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